Yu Qiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
437
Venues
37
Active years
2019–2026
Best venue rank
A*
Where they publish
- A*CVPR88 papers
- A*ECCV42 papers
- A*ICLR32 papers
- A*AAAI29 papers
- A*ICCV22 papers
- A*ACL21 papers
- A*ICML7 papers
- BICONIP6 papers
- BLREC4 papers
- AMICCAI4 papers
- BNOMS4 papers
- CAPNOMS4 papers
- BICIP3 papers
- MulticonferenceICASSP3 papers
- A*IJCAI2 papers
- A*EMNLP2 papers
- ANAACL2 papers
- AWACV2 papers
- ABMVC2 papers
- ACIKM2 papers
- BCOLING2 papers
- AInterspeech2 papers
- BAINA1 paper
- CCSCWD1 paper
- AIROS1 paper
- A*SiggraphA1 paper
- A*ICAPS1 paper
- BPRICAI1 paper
- AEACL1 paper
- CIECON1 paper
- CCGI1 paper
- UnrankedCoRL1 paper
- BICNP1 paper
- BICPR1 paper
- A*SIGCOMM1 paper
- BICCCN1 paper
- A*ICRA1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI. | Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He |
| 2026 | AAAI | VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning. | Zikang Wang, Boyu Chen, Zhengrong Yue, Yi Wang, Yu Qiao, Limin Wang, Yali Wang |
| 2026 | AAAI | Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy. | Tianyi Zhang, Haonan Duan, Haoran Hao, Yu Qiao, Jifeng Dai, Zhi Hou |
| 2026 | ACL | OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents. | Bowen Yang, Kaiming Jin, Zhenyu Wu, Zhaoyang Liu, Qiushi Sun, Zehao Li, JingJing Xie, Zhoumianze Liu, Fangzhi Xu, Kanzhi Cheng, Yian Wang, Qingyun Li, Yu Qiao, Zun Wang, Zichen Ding |
| 2026 | ACL | Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement. | Cheng Yang, Xuemeng Yang, Licheng Wen, Daocheng Fu, Jianbiao Mei, Rong Wu, Pinlong Cai, Yufan Shen, Nianchen Deng, Xu Jia, Botian Shi, Yu Qiao, Haifeng Li |
| 2026 | ACL | Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark. | Kai Zou, Ziqi Huang, Yuhao Dong, Shulin Tian, Dian Zheng, Hongbo Liu, Jingwen He, Bin Liu, Yu Qiao, Ziwei Liu |
| 2026 | LREC | MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data. | Saad Mankarious, Edward Kempa, Daniel Wiechmann, Elma Kerz, Yu Qiao, Ayah Zirikly |
| 2026 | LREC | ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD. | Daniel Wiechmann, Elma Kerz, Edward Kempa, Yu Qiao |
| 2025 | AAAI | H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving. | Siran Chen, Yuxiao Luo, Yue Ma, Yu Qiao, Yali Wang |
| 2025 | AAAI | GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction. | Junyi Chen, Weicai Ye, Yifan Wang, Danpeng Chen, Di Huang, Wanli Ouyang, Guofeng Zhang, Yu Qiao, Tong He |
| 2025 | AAAI | Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration. | Yanbo Ding, Shaobin Zhuang, Kunchang Li, Zhengrong Yue, Yu Qiao, Yali Wang |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2025 | ACL | OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. | Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu |
| 2025 | ACL | MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. | Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao |
| 2025 | ACL | Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. | Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu |
| 2025 | ACL | Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback. | Jiakang Yuan, Xiangchao Yan, Bo Zhang, Tao Chen, Botian Shi, Wanli Ouyang, Yu Qiao, Lei Bai, Bowen Zhou |
| 2025 | ACL | Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models. | Fan Zhang, Shulin Tian, Ziqi Huang, Yu Qiao, Ziwei Liu |
| 2025 | AINA | MDNet: Advanced MRI and IDH Status for Enhanced MGMT Prediction in Glioma. | Yu Qiao, Sayan Kumar Ray, Md Akbar Hassain |
| 2025 | CSCWD | SecRAG: A Graph-Enhanced RAG Framework with Dynamic Prompt for Cybersecurity Applications. | Yu Qiao, Lun Li, Feng Cheng, Jie Zhang, Jin Gao, Hongsong Zhu |
| 2025 | CVPR | SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. | Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He |
| 2025 | CVPR | All-Day Multi-Camera Multi-Target Tracking. | Huijie Fan, Yu Qiao, Yihao Zhen, Tinghui Zhao, Baojie Fan, Qiang Wang |
| 2025 | CVPR | The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation. | Bingjie Gao, Xinyu Gao, Xiaoxue Wu, Yujie Zhou, Yu Qiao, Li Niu, Xinyuan Chen, Yaohui Wang |
| 2025 | CVPR | Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. | Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jiawen Liu, Jifeng Dai, Yu Qiao, Xizhou Zhu |
| 2025 | CVPR | HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. | Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai |
| 2025 | CVPR | Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment. | Ziang Yan, Zhilin Li, Yinan He, Chenting Wang, Kunchang Li, Xinhao Li, Xiangyu Zeng, Zilei Wang, Yali Wang, Yu Qiao, Limin Wang, Yi Wang |
| 2025 | CVPR | SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. | Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao |
| 2025 | CVPR | OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. | Pengfei Zhou, Xiaopeng Peng, Jiajun Song, Chuanhao Li, Zhaopan Xu, Yue Yang, Ziyao Guo, Hao Zhang, Yuqi Lin, Yefei He, Lirui Zhao, Shuo Liu, Tianhua Li, Yuxuan Xie, Xiaojun Chang, Yu Qiao, Wenqi Shao, Kaipeng Zhang |
| 2025 | ICCV | Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy. | Zhi Hou, Tianyi Zhang, Yuwen Xiong, Haonan Duan, Hengjun Pu, Ronglei Tong, Chengyang Zhao, Xizhou Zhu, Yu Qiao, Jifeng Dai, Yuntao Chen |
| 2025 | ICCV | DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations. | Xiaohui Li, Yihao Liu, Shuo Cao, Ziyan Chen, Shaobin Zhuang, Xiangyu Chen, Yinan He, Yi Wang, Yu Qiao |
| 2025 | ICCV | Dual-Expert Consistency Model for Efficient and High-Quality Video Generation. | Zhengyao Lv, Chenyang Si, Tianlin Pan, Zhaoxi Chen, Kwan-Yee K. Wong, Yu Qiao, Ziwei Liu |
| 2025 | ICCV | Lumina-Image 2.0: a Unified and Efficient Image Generative Framework. | Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, Peng Gao |
| 2025 | ICCV | DriveArena: A Closed-Loop Generative Simulation Platform for Autonomous Driving. | Xuemeng Yang, Licheng Wen, Tiantian Wei, Yukai Ma, Jianbiao Mei, Xin Li, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Liang He, Yong Liu, Botian Shi, Yu Qiao |
| 2025 | ICCV | VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos. | Jiashuo Yu, Yue Wu, Meng Chu, Zhifei Ren, Zizheng Huang, Pei Chu, Ruijie Zhang, Yinan He, Qirui Li, Songze Li, Zhenxiang Li, Zhongying Tu, Conghui He, Yu Qiao, Yali Wang, Yi Wang, Limin Wang |
| 2025 | ICCV | Towards Explicit Exoskeleton for the Reconstruction of Complicated 3D Human Avatars. | Yifan Zhan, Qingtian Zhu, Muyao Niu, Mingze Ma, Jiancheng Zhao, Zhihang Zhong, Xiao Sun, Yu Qiao, Yinqiang Zheng |
| 2025 | ICIP | Knowledge Is What You Need For Active Object Tracking. | Ziliang Guo, Ning Luo, Junhao Gu, Weiwu Yan, Xingqi Fang, Yu Qiao |
| 2025 | ICLR | Learning Causal Alignment for Reliable Disease Diagnosis. | Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, Yu Qiao, Yizhou Wang |
| 2025 | ICLR | OS-ATLAS: Foundation Action Model for Generalist GUI Agents. | Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao |
| 2025 | ICLR | DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes. | Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu |
| 2025 | ICLR | Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures. | Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang |
| 2025 | ICLR | Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation. | Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, Jingwen He, Junjun He, Yu Qiao, Hongsheng Li |
| 2025 | ICLR | FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality. | Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, Kwan-Yee K. Wong |
| 2025 | ICLR | MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. | Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao |
| 2025 | ICLR | Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. | Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang |
| 2025 | ICLR | Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning. | Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen |
| 2025 | ICLR | Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. | Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang |
| 2025 | ICLR | TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. | Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang |
| 2025 | ICLR | REEF: Representation Encoding Fingerprints for Large Language Models. | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao |
| 2025 | ICLR | An Intelligent Agentic System for Complex Image Restoration Problems. | Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong |
| 2025 | IJCAI | An Empirical Study of Federated Prompt Learning for Vision Language Model. | Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye |
| 2025 | IROS | RH20T-P: A Primitive-Level Robotic Manipulation Dataset towards Composable Generalization Agents in Real-world Scenarios. | Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Enshen Zhou, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng |
| 2025 | MICCAI | MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. | Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su |
| 2025 | SiggraphA | Cut2Next: Generating Next Shot via In-Context Tuning. | Jingwen He, Hongbo Liu, Jiajun Li, Ziqi Huang, Yu Qiao, Wanli Ouyang, Ziwei Liu |
| 2024 | AAAI | M-BEV: Masked BEV Perception for Robust Autonomous Driving. | Siran Chen, Yue Ma, Yu Qiao, Yali Wang |
| 2024 | AAAI | Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. | Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada |
| 2024 | AAAI | ConditionVideo: Training-Free Condition-Guided Video Generation. | Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao |
| 2024 | AAAI | Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. | Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao |
| 2024 | AAAI | Critic-Guided Decision Transformer for Offline Reinforcement Learning. | Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao |
| 2024 | AAAI | Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation. | Shilin Yan, Renrui Zhang, Ziyu Guo, Wenchao Chen, Wei Zhang, Hongyang Li, Yu Qiao, Hao Dong, Zhongjiang He, Peng Gao |
| 2024 | AAAI | Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. | Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao |
| 2024 | ACL | Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. | Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao |
| 2024 | ACL | SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning. | Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian |
| 2024 | ACL | SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models. | Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao |
| 2024 | ACL | MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation. | Yan Ma, Yu Qiao, Pengfei Liu |
| 2024 | ACL | ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. | Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo |
| 2024 | ACL | Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. | Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu |
| 2024 | ACL | PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety. | Zaibin Zhang, Yongting Zhang, Lijun Li, Jing Shao, Hongzhi Gao, Yu Qiao, Lijun Wang, Huchuan Lu, Feng Zhao |
| 2024 | ACL | Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! | Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao |
| 2024 | ACL | Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization. | Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang, Wanli Ouyang, Yu Qiao |
| 2024 | CVPR | Point Transformer V3: Simpler, Faster, Stronger. | Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao |
| 2024 | CVPR | MVBench: A Comprehensive Multi-modal Video Understanding Benchmark. | Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Lou, Limin Wang, Yu Qiao |
| 2024 | CVPR | VideoBooth: Diffusion-based Video Generation with Image Prompts. | Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu |
| 2024 | CVPR | Towards Real-world Video Face Restoration: A New Benchmark. | Ziyan Chen, Jingwen He, Xinqi Lin, Yu Qiao, Chao Dong |
| 2024 | CVPR | Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks. | Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai |
| 2024 | CVPR | Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models. | Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao |
| 2024 | CVPR | OneLLM: One Framework to Align All Modalities with Language. | Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue |
| 2024 | CVPR | EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World. | Yifei Huang, Guo Chen, Jilan Xu, Mingfang Zhang, Lijin Yang, Baoqi Pei, Hongjie Zhang, Lu Dong, Yali Wang, Limin Wang, Yu Qiao |
| 2024 | CVPR | VBench: Comprehensive Benchmark Suite for Video Generative Models. | Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu |
| 2024 | CVPR | EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion. | Zehuan Huang, Hao Wen, Junting Dong, Yaohui Wang, Yangguang Li, Xinyuan Chen, Yan-Pei Cao, Ding Liang, Yu Qiao, Bo Dai, Lu Sheng |
| 2024 | CVPR | OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. | Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo |
| 2024 | CVPR | DiffInDScene: Diffusion-Based High-Quality 3D Indoor Scene Generation. | Xiaoliang Ju, Zhaoyang Huang, Yijiin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li |
| 2024 | CVPR | Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. | Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai |
| 2024 | CVPR | MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. | Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao |
| 2024 | CVPR | SinSR: Diffusion-Based Image Super-Resolution in a Single Step. | Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen |
| 2024 | CVPR | Desigen: A Pipeline for Controllable Design Template Generation. | Haohan Weng, Danqing Huang, Yu Qiao, Zheng Hu, Chin-Yew Lin, Tong Zhang, C. L. Philip Chen |
| 2024 | CVPR | DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement. | Hao Wu, Huabin Liu, Yu Qiao, Xiao Sun |
| 2024 | CVPR | Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. | Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai |
| 2024 | CVPR | ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring. | Yuan Xu, Xiaoxuan Ma, Jiajun Su, Wentao Zhu, Yu Qiao, Yizhou Wang |
| 2024 | CVPR | Generalized Predictive Model for Autonomous Driving. | Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li |
| 2024 | CVPR | Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. | Yi Yu, Xue Yang, Qingyun Li, Feipeng Da, Jifeng Dai, Yu Qiao, Junchi Yan |
| 2024 | CVPR | Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. | Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong |
| 2024 | CVPR | Asymmetric Masked Distillation for Pre-Training Small Foundation Models. | Zhiyu Zhao, Bingkun Huang, Sen Xing, Gangshan Wu, Yu Qiao, Limin Wang |
| 2024 | CVPR | DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. | Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji |
| 2024 | CVPR | Vlogger: Make Your Dream A Vlog. | Shaobin Zhuang, Kunchang Li, Xinyuan Chen, Yaohui Wang, Ziwei Liu, Yu Qiao, Yali Wang |
| 2024 | CVPR | Language-aware Visual Semantic Distillation for Video Question Answering. | Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao |
| 2024 | CVPR | LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction. | Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao |
| 2024 | ECCV | Real-Time Holistic Robot Pose Estimation with Unknown States. | Shikun Ban, Juling Fan, Xiaoxuan Ma, Wentao Zhu, Yu Qiao, Yizhou Wang |
| 2024 | ECCV | GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity. | Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong |
| 2024 | ECCV | A Comparative Study of Image Restoration Networks for General Backbone Network Design. | Xiangyu Chen, Zheyuan Li, Yuandong Pu, Yihao Liu, Jiantao Zhou, Yu Qiao, Chao Dong |
| 2024 | ECCV | Within the Dynamic Context: Inertia-Aware 3D Human Modeling with Pose Sequence. | Yutong Chen, Yifan Zhan, Zhihang Zhong, Wei Wang, Xiao Sun, Yu Qiao, Yinqiang Zheng |
| 2024 | ECCV | VideoMamba: State Space Model for Efficient Video Understanding. | Kunchang Li, Xinhao Li, Yi Wang, Yinan He, Yali Wang, Limin Wang, Yu Qiao |
| 2024 | ECCV | DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior. | Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Yu Qiao, Wanli Ouyang, Chao Dong |
| 2024 | ECCV | SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models. | Ziyi Lin, Dongyang Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Yu Qiao, Hongsheng Li |
| 2024 | ECCV | ControlLLM: Augment Language Models with Tools by Searching on Graphs. | Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Ziheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang |
| 2024 | ECCV | MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models. | Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao |
| 2024 | ECCV | Distilling Knowledge from Large-Scale Image Models for Object Detection. | Gang Li, Wenhai Wang, Xiang Li, Ziheng Li, Jian Yang, Jifeng Dai, Yu Qiao, Shanshan Zhang |
| 2024 | ECCV | SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. | Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao |
| 2024 | ECCV | InternVideo2: Scaling Foundation Models for Multimodal Video Understanding. | Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Jilan Xu, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang |
| 2024 | ECCV | The All-Seeing Project V2: Towards General Relation Comprehension of the Open World. | Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai |
| 2024 | ECCV | Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation. | Yuchen Yang, Yu Qiao, Xiao Sun |
| 2024 | ECCV | Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection. | Jiakang Yuan, Bo Zhang, Kaixiong Gong, Xiangyu Yue, Botian Shi, Yu Qiao, Tao Chen |
| 2024 | ECCV | MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? | Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li |
| 2024 | ECCV | Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation. | Zhihang Zhong, Gurunandan Krishnan, Xiao Sun, Yu Qiao, Sizhuo Ma, Jian Wang |
| 2024 | ECCV | Embodied Understanding of Driving Scenarios. | Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li |
| 2024 | EMNLP | Inference-Time Language Model Alignment via Integrated Value Guidance. | Zhixuan Liu, Zhanhui Zhou, Yuanfu Wang, Chao Yang, Yu Qiao |
| 2024 | EMNLP | LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages. | Yinquan Lu, Wenhao Zhu, Lei Li, Yu Qiao, Fei Yuan |
| 2024 | ICAPS | Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning. | Zhaoxun Ju, Chao Yang, Fuchun Sun, Hongbo Wang, Yu Qiao |
| 2024 | ICASSP | Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. | Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo |
| 2024 | ICIP | Crowdassign: A Label Assignment Scheme for Pedestrian Detection in Crowded Scenes. | Zihao Li, Ning Luo, Xiwen Zhang, Ziliang Guo, Xingqi Fang, Yu Qiao |
| 2024 | ICLR | AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. | Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai |
| 2024 | ICLR | ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. | Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao |
| 2024 | ICLR | SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction. | Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu |
| 2024 | ICLR | Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. | Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo |
| 2024 | ICLR | OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. | Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo |
| 2024 | ICLR | CO2: Efficient Distributed Training with Full Communication-Computation Overlap. | Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong |
| 2024 | ICLR | The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World. | Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao |
| 2024 | ICLR | InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation. | Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, Ping Luo, Ziwei Liu, Yali Wang, Limin Wang, Yu Qiao |
| 2024 | ICLR | DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. | Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao |
| 2024 | ICLR | BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. | Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo |
| 2024 | ICLR | Personalize Segment Anything Model with One Shot. | Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Yu Qiao, Peng Gao, Hongsheng Li |
| 2024 | ICLR | LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. | Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2024 | ICLR | SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution. | Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong |
| 2024 | ICML | Causal Discovery via Conditional Independence Testing with Proxy Variables. | Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang |
| 2024 | ICML | Unifying Image Processing as Visual Prompting Question Answering. | Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong |
| 2024 | ICML | RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. | Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo |
| 2024 | ICML | SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. | Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2024 | ICML | Position: Towards Implicit Prompt For Text-To-Image Models. | Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo |
| 2024 | ICML | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. | Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao |
| 2024 | ICONIP | Driver Cognitive Distraction Detection Based on Eye Movement Behavior and Spatio-Temporal Information Fusion. | Yu Qiao, Xiaohui Yang, Jing Wang, Tongzhen Si, Qingbei Guo |
| 2024 | IJCAI | Safety of Multimodal Large Language Models on Images and Text. | Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao |
| 2024 | NAACL | Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. | Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao |
| 2024 | NAACL | Fake Alignment: Are LLMs Really Aligned Well? | Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang |
| 2024 | NOMS | Towards Robust Federated Learning via Logits Calibration on Non-IID Data. | Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong |
| 2024 | NOMS | Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network. | Apurba Adhikary, Avi Deb Raha, Yu Qiao, Seok Won Kang, Choong Seon Hong |
| 2024 | PRICAI | MSAN: Multi-Scale Adaptive Network Guided by Human Attention for Accident Prediction. | Yu Qiao, Xiaohui Yang, Anran Lu |
| 2024 | WACV | Drive Like a Human: Rethinking Autonomous Driving with Large Language Models. | Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, Yu Qiao |
| 2024 | WACV | Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation. | Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Lei Bai, Yu Qiao, Xihui Liu |
| 2023 | AAAI | Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. | Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao |
| 2023 | ACL | OpenICL: An Open-Source Framework for In-context Learning. | Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Jingjing Xu, Yu Qiao |
| 2023 | ACL | Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation. | Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Yu Qiao, Jingjing Xu |
| 2023 | ACL | What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection. | Sourabh Zanwar, Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz |
| 2023 | APNOMS | Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework. | Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Ki Tae Kim, Choong Seon Hong |
| 2023 | APNOMS | Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. | Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong |
| 2023 | APNOMS | Knowledge Distillation in Federated Learning: Where and How to Distill? | Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong |
| 2023 | APNOMS | Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication. | Avi Deb Raha, Apurba Adhikary, Md. Shirajum Munir, Yu Qiao, Choong Seon Hong |
| 2023 | CVPR | DegAE: A New Pretraining Paradigm for Low-Level Vision. | Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong |
| 2023 | CVPR | Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. | Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai |
| 2023 | CVPR | CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. | Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang |
| 2023 | CVPR | Activating More Pixels in Image Super-Resolution Transformer. | Xiangyu Chen, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong |
| 2023 | CVPR | Neural Transformation Fields for Arbitrary-Styled Font Generation. | Bin Fu, Junjun He, Jianjun Wang, Yu Qiao |
| 2023 | CVPR | Planning-oriented Autonomous Driving. | Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li |
| 2023 | CVPR | LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. | Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He |
| 2023 | CVPR | Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. | Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai |
| 2023 | CVPR | Fine-grained Audible Video Description. | Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong |
| 2023 | CVPR | Siamese Image Modeling for Self-Supervised Vision Representation Learning. | Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai |
| 2023 | CVPR | ResFormer: Scaling ViTs with Multi-Resolution Training. | Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang |
| 2023 | CVPR | InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. | Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao |
| 2023 | CVPR | VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking. | Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, Yu Qiao |
| 2023 | CVPR | Dynamic Feature Queue for Surveillance Face Anti-spoofing via Progressive Training. | Keyao Wang, Mouxiao Huang, Guosheng Zhang, Haixiao Yue, Gang Zhang, Yu Qiao |
| 2023 | CVPR | SCPNet: Semantic Scene Completion on Point Cloud. | Zhaoyang Xia, Youquan Liu, Xin Li, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao |
| 2023 | CVPR | Stare at What You See: Masked Image Modeling without Reconstruction. | Hongwei Xue, Peng Gao, Hongyang Li, Yu Qiao, Hao Sun, Houqiang Li, Jiebo Luo |
| 2023 | CVPR | Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. | Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng |
| 2023 | CVPR | Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision. | Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie |
| 2023 | CVPR | MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency. | Mingye Xu, Mutian Xu, Tong He, Wanli Ouyang, Yali Wang, Xiaoguang Han, Yu Qiao |
| 2023 | CVPR | BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. | Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai |
| 2023 | CVPR | Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection. | Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao |
| 2023 | CVPR | Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. | Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li |
| 2023 | CVPR | Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners. | Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Yu Qiao, Peng Gao, Hongsheng Li |
| 2023 | CVPR | Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders. | Renrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, Hongsheng Li |
| 2023 | CVPR | Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection. | Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao |
| 2023 | CVPR | Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions. | Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo, Jifeng Dai, Yu Qiao, Xiaowei Hu |
| 2023 | EACL | SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German. | Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz |
| 2023 | ICCV | HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. | Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2023 | ICCV | DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. | Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo |
| 2023 | ICCV | MGMAE: Motion Guided Masking for Video Masked Autoencoding. | Bingkun Huang, Zhiyu Zhao, Guozhen Zhang, Yu Qiao, Limin Wang |
| 2023 | ICCV | Rethinking Range View Representation for LiDAR Segmentation. | Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu |
| 2023 | ICCV | Unmasked Teacher: Towards Training-Efficient Video Foundation Models. | Kunchang Li, Yali Wang, Yizhuo Li, Yi Wang, Yinan He, Limin Wang, Yu Qiao |
| 2023 | ICCV | UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. | Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou |
| 2023 | ICCV | UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding. | Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Limin Wang, Yu Qiao |
| 2023 | ICCV | DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. | Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li |
| 2023 | ICCV | Multi-view Spectral Polarization Propagation for Video Glass Segmentation. | Yu Qiao, Bo Dong, Ao Jin, Yu Fu, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang |
| 2023 | ICCV | Scaling Data Generation in Vision-and-Language Navigation. | Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao |
| 2023 | ICCV | Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. | Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao |
| 2023 | ICCV | MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection. | Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao |
| 2023 | ICLR | Vision Transformer Adapter for Dense Predictions. | Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao |
| 2023 | ICLR | CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. | Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo |
| 2023 | ICLR | Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. | Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao |
| 2023 | ICML | Long-Term Rhythmic Video Soundtracker. | Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao |
| 2023 | ICONIP | Parallelizable Simple Recurrent Units with Hierarchical Memory. | Yu Qiao, Hengyi Zhang, Pengfei Sun, Yuan Tian, Yong Guan, Zhenzhou Shao, Zhiping Shi |
| 2023 | IECON | Diagnosing Rolling-Element Bearing Faults in the Real World: Problem Solved? | Yee Wei Law, Yu Qiao, Christopher W. K. Chow, Romeo Marian, Neda Gorjian Jolfaei, Nima Gorjian, Jeng-Shyang Pan |
| 2023 | MICCAI | Text-Guided Foundation Model Adaptation for Pathological Image Classification. | Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang |
| 2023 | NOMS | Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. | Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Choong Seon Hong |
| 2023 | NOMS | CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity. | Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Choong Seon Hong |
| 2022 | AAAI | CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation. | Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang |
| 2022 | BMVC | You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction. | Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada |
| 2022 | BMVC | Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. | Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao |
| 2022 | CGI | Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting. | Yu Qiao, Ziqi Wei, Yuhao Liu, Yuxin Wang, Dongsheng Zhou, Qiang Zhang, Xin Yang |
| 2022 | CIKM | HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints. | Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu |
| 2022 | COLING | MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress. | Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz |
| 2022 | COLING | The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts. | Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz |
| 2022 | CoRL | Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. | Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao |
| 2022 | CVPR | Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. | Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2022 | CVPR | Cross Domain Object Detection by Target-Perceived Dual Branch Distillation. | Mengzhe He, Yali Wang, Jiaxi Wu, Yiru Wang, Hanqing Li, Bo Li, Weihao Gan, Wei Wu, Yu Qiao |
| 2022 | CVPR | Reflash Dropout in Image Super-Resolution. | Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | CVPR | Blueprint Separable Residual Network for Efficient Image Super-Resolution. | Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | CVPR | PointCLIP: Point Cloud Understanding by CLIP. | Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li |
| 2022 | ECCV | PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. | Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan |
| 2022 | ECCV | X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. | Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao |
| 2022 | ECCV | Frozen CLIP Models are Efficient Video Learners. | Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li |
| 2022 | ECCV | BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. | Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai |
| 2022 | ECCV | VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. | Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao |
| 2022 | ECCV | PalGAN: Image Colorization with Palette Generative Adversarial Networks. | Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao |
| 2022 | ECCV | Recurrent Bilinear Optimization for Binary Neural Networks. | Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu L, Guodong Guo |
| 2022 | ECCV | MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning. | David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou |
| 2022 | ECCV | Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification. | Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li |
| 2022 | ECCV | Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. | Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong |
| 2022 | ECCV | Self-slimmed Vision Transformer. | Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu |
| 2022 | ICLR | UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning. | Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao |
| 2022 | ICNP | Poster: Matrix Implementation for Matching IP Network Segment. | Shuzheng Hao, Xudong Sun, Yu Qiao, Jun Wu, Haonan Ye, Liang Zhang |
| 2022 | ICONIP | Local-Global Semantic Fusion Single-shot Classification Method. | Jianwei Cai, Kun Fang, Weihao Yu, Jie Yang, Yu Qiao |
| 2022 | ICPR | VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection. | Yi Liu, Xuan Zhang, Ying Li, Guixin Liang, Yabing Jiang, Lixia Qiu, Haiping Tang, Fei Xie, Wei Yao, Yi Dai, Yu Qiao, Yali Wang |
| 2022 | LREC | SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection. | Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann |
| 2022 | SIGCOMM | Deep or statistical: an empirical study of traffic predictions on multiple time scales. | Yu Qiao, Chengxiang Li, Shuzheng Hao, Jun Wu, Liang Zhang |
| 2021 | AAAI | SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification. | Xiaoke Jiang, Yu Qiao, Junjie Yan, Qichen Li, Wanrong Zheng, Dapeng Chen |
| 2021 | AAAI | PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos. | Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao |
| 2021 | AAAI | BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. | Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan |
| 2021 | AAAI | Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. | Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu |
| 2021 | AAAI | Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. | Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao |
| 2021 | AAAI | Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. | Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao |
| 2021 | CVPR | Toward Interactive Modulation for Photo-Realistic Image Restoration. | Haoming Cai, Jingwen He, Yu Qiao, Chao Dong |
| 2021 | CVPR | HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. | Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong |
| 2021 | CVPR | NTIRE 2021 Challenge on Perceptual Image Quality Assessment. | Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte |
| 2021 | CVPR | Affordance Transfer Learning for Human-Object Interaction Detection. | Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | CVPR | Detecting Human-Object Interaction via Fabricated Compositional Learning. | Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | CVPR | ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. | Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong |
| 2021 | CVPR | Temporal Context Aggregation Network for Temporal Action Proposal Refinement. | Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang |
| 2021 | CVPR | Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification. | Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li |
| 2021 | ICCCN | False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. | Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang |
| 2021 | ICCV | A New Journey from SDRTV to HDRTV. | Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong |
| 2021 | ICCV | Tripartite Information Mining and Integration for Image Matting. | Yuhao Liu, Jiake Xie, Xiao Shi, Yu Qiao, Yujie Huang, Yong Tang, Xin Yang |
| 2021 | ICCV | Digging into Uncertainty in Self-supervised Multi-view Stereo. | Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao |
| 2021 | ICLR | CT-Net: Channel Tensorization Network for Video Classification. | Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao |
| 2021 | ICLR | Domain Generalization with MixStyle. | Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang |
| 2021 | ICRA | Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing. | Jiaqi Liu, Yu Qiao, Jie Yang, Guang-Zhong Yang, Yun Gu |
| 2021 | Interspeech | Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. | Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz |
| 2021 | Interspeech | The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. | Yu Qiao, Wei Zhou, Elma Kerz, Ralf Schlter |
| 2021 | MICCAI | A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. | Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao |
| 2021 | MICCAI | Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. | Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao |
| 2020 | AAAI | FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing. | Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao |
| 2020 | AAAI | Dynamic Sampling Network for Semantic Segmentation. | Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao |
| 2020 | AAAI | Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. | Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang |
| 2020 | AAAI | A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. | Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu |
| 2020 | AAAI | Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. | Mingye Xu, Zhipeng Zhou, Yu Qiao |
| 2020 | AAAI | Context-Transformer: Tackling Object Confusion for Few-Shot Detection. | Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao |
| 2020 | AAAI | Learning Attentive Pairwise Interaction for Fine-Grained Classification. | Peiqin Zhuang, Yali Wang, Yu Qiao |
| 2020 | CIKM | aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. | Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao |
| 2020 | CVPR | Adaptive Dilated Network With Self-Correction Supervision for Counting. | Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan |
| 2020 | CVPR | Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild. | Sijie Ji, Kai Wang, Xiaojiang Peng, Jianfei Yang, Zhaoyang Zeng, Yu Qiao |
| 2020 | CVPR | SmallBigNet: Integrating Core and Contextual Views for Video Classification. | Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao |
| 2020 | CVPR | Attention-Guided Hierarchical Structure Aggregation for Image Matting. | Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu, Qiang Zhang, Xiaopeng Wei |
| 2020 | CVPR | Fast Texture Synthesis via Pseudo Optimizer. | Wu Shi, Yu Qiao |
| 2020 | CVPR | Suppressing Uncertainties for Large-Scale Facial Expression Recognition. | Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao |
| 2020 | CVPR | COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification. | Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao |
| 2020 | ECCV | Mining Inter-Video Proposal Relations for Video Object Detection. | Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao |
| 2020 | ECCV | Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. | Jingwen He, Chao Dong, Yu Qiao |
| 2020 | ECCV | Conditional Sequential Modulation for Efficient Global Image Retouching. | Jingwen He, Yihao Liu, Yu Qiao, Chao Dong |
| 2020 | ECCV | Visual Compositional Learning for Human-Object Interaction Detection. | Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao |
| 2020 | ECCV | Learning to Predict Context-Adaptive Convolution for Semantic Segmentation. | Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li |
| 2020 | ECCV | Enhanced Quadratic Video Interpolation. | Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong |
| 2020 | ECCV | Suppressing Mislabeled Data via Grouping and Self-attention. | Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao |
| 2020 | ECCV | AIM 2020 Challenge on Video Temporal Super-Resolution. | Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee, Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong, Woonsung Park, Wonyong Seo, Munchurl Kim, Wenhao Zhang, Pablo Navarrete Michelini, Kazutoshi Akita, Norimichi Ukita |
| 2020 | ECCV | MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation. | Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy |
| 2020 | ECCV | Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. | Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao |
| 2020 | ECCV | AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. | Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, ric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni |
| 2020 | ECCV | RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax. | Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li |
| 2020 | ECCV | Efficient Image Super-Resolution Using Pixel Attention. | Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong |
| 2020 | ICASSP | Robust Visual Tracking with Context-Based Active Occlusion Recognition. | Yueyang Gu, Yu Qiao, Kuan Xu, Hang Xu, Xingqi Fang |
| 2020 | ICASSP | Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy. | Hang Xu, Shijie Geng, Yu Qiao, Kuan Xu, Yueyang Gu |
| 2020 | ICIP | Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. | Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao |
| 2020 | ICONIP | Part-Boundary-Aware Networks for Surgical Instrument Parsing. | Jiaqi Liu, Yu Qiao, Jie Yang, Yun Gu |
| 2020 | ICONIP | Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. | Yu Qiao, Kun Qian, Ziping Zhao |
| 2020 | ICONIP | Combining Filter Bank and KSH for Image Retrieval in Bone Scintigraphy. | Hang Xu, Yu Qiao, Yueyang Gu, Jie Yang |
| 2020 | LREC | Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. | Elma Kerz, Fabio Pruneri, Daniel Wiechmann, Yu Qiao, Marcus Strbel |
| 2019 | AAAI | Residual Compensation Networks for Heterogeneous Face Recognition. | Zhongying Deng, Xiaojiang Peng, Yu Qiao |
| 2019 | CVPR | NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. | Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He |
| 2019 | CVPR | Suppressing Model Overfitting for Image Super-Resolution Networks. | Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong |
| 2019 | CVPR | Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. | Jingwen He, Chao Dong, Yu Qiao |
| 2019 | CVPR | Adaptive Pyramid Context Network for Semantic Segmentation. | Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao |
| 2019 | CVPR | PA3D: Pose-Action 3D Machine for Video Recognition. | An Yan, Yali Wang, Zhifeng Li, Yu Qiao |
| 2019 | CVPR | P2SGrad: Refined Gradients for Optimizing Deep Face Models. | Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li |