Liang Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
240
Venues
23
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*CVPR72 papers
- A*ICCV34 papers
- A*AAAI29 papers
- A*ACL20 papers
- A*ECCV18 papers
- A*IJCAI11 papers
- A*EMNLP9 papers
- BICPR8 papers
- BICIP7 papers
- MulticonferenceICASSP5 papers
- A*ICML5 papers
- A*ICRA5 papers
- A*ICLR3 papers
- A*KDD2 papers
- A*SIGMOD2 papers
- BACCV2 papers
- AIROS2 papers
- AWACV1 paper
- A*WWW1 paper
- A*SiggraphA1 paper
- ACIKM1 paper
- AMICCAI1 paper
- BVTC1 paper
Papers
240 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Pre-Trained Video Generative Models as World Simulators. | Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan |
| 2026 | AAAI | Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers. | Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu |
| 2026 | AAAI | Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search. | Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin |
| 2026 | ACL | Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations. | Qirui Jiao, Dian Jiao, Nan Du, Ying Shen, Liang Lin |
| 2026 | ACL | Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models. | Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2026 | ACL | Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models. | Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen |
| 2026 | ACL | HearSay Benchmark: Do Audio LLMs Leak What They Hear? | Jin Wang, Kaiwen Luo, Liang Lin, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen |
| 2026 | ACL | Visually-Guided Policy Optimization for Multimodal Reasoning. | Zengbin Wang, Feng Xiong, Liang Lin, Xuecai Hu, Yong Wang, Yanlin Wang, Man Zhang, Xiangxiang Chu |
| 2026 | ACL | PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition. | Zhihao Xu, Fuzhen Yang, Liang Lin, Xiting Wang |
| 2026 | ACL | Stable Language Guidance for Vision-Language-Action Models. | Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lyu, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang |
| 2026 | ACL | RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios. | Yibo Zhang, Kaiwen Luo, Liang Lin, Shilinlu Yan, Jin Wang, Yaoqi Guo, Yitian Chen, Yalan Qin, Zhenhong Zhou, Kun Wang, Li Sun |
| 2026 | ACL | SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models. | Yuanhe Zhang, Jiayu Tian, Yibo Zhang, Shilinlu Yan, Liang Lin, Zhenhong Zhou, Li Sun, Sen Su |
| 2026 | WACV | Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval. | Yuliang Huang, Pengxu Wei, Zhicheng Dong, Liang Lin |
| 2025 | AAAI | SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. | Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang |
| 2025 | AAAI | Monitoring Primitive Interactions During the Training of DNNs. | Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang |
| 2025 | ACL | MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. | Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2025 | ACL | IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit. | Liang Lin, Siyuan Chai, Jiahao Wu, Hongbing Hu, Xiaotao Gu, Hao Hu, Fan Zhang, Wei Wang, Dan Zhang |
| 2025 | ACL | Cool-Fusion: Fuse Large Language Models without Training. | Cong Liu, Xiaojun Quan, Yan Pan, Weigang Wu, Xu Chen, Liang Lin |
| 2025 | ACL | Chain of Methodologies: Scaling Test Time Computation without Training. | Cong Liu, Jie Wu, Weigang Wu, Xu Chen, Liang Lin, Wei-Shi Zheng |
| 2025 | ACL | HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System. | Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam |
| 2025 | ACL | Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System. | Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam |
| 2025 | CVPR | Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. | Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin |
| 2025 | CVPR | Cross-modal Causal Relation Alignment for Video Question Grounding. | Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin |
| 2025 | CVPR | VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. | Zijian He, Yuwei Ning, Yipeng Qin, Guangrun Wang, Sibei Yang, Liang Lin, Guanbin Li |
| 2025 | CVPR | DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering. | Jingzhou Luo, Yang Liu, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li, Liang Lin |
| 2025 | CVPR | No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition. | Rong Qin, Xin Liu, Xingyu Liu, Jiaxuan Liu, Jinglei Shi, Liang Lin, Jufeng Yang |
| 2025 | CVPR | Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation. | Rong Qin, Xingyu Liu, Jinglei Shi, Liang Lin, Jufeng Yang |
| 2025 | CVPR | Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method. | Xinshuai Song, Weixing Chen, Yang Liu, Weikai Chen, Guanbin Li, Liang Lin |
| 2025 | CVPR | PS-Diffusion: Photorealistic Subject-Driven Image Editing with Disentangled Control and Attention. | Weicheng Wang, Guoli Jia, Zhongqi Zhang, Liang Lin, Jufeng Yang |
| 2025 | CVPR | DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh. | Jingyu Zhuang, Di Kang, Linchao Bao, Liang Lin, Guanbin Li |
| 2025 | EMNLP | RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs. | Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2025 | EMNLP | Thinking Before You Speak: A Proactive Test-time Scaling Approach. | Cong Liu, Wenchang Chai, Hejun Wu, Yan Pan, Pengxu Wei, Liang Lin |
| 2025 | ICASSP | Anima | Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Liang Lin |
| 2025 | ICCV | Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention Into Convolutions. | ZiYi Dong, Chengxing Zhou, Weijian Deng, Pengxu Wei, Xiangyang Ji, Liang Lin |
| 2025 | ICCV | DreamFuse: Adaptive Image Fusion with Diffusion Transformer. | Junjia Huang, Pengxiang Yan, Jiyang Liu, Jie Wu, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li |
| 2025 | ICCV | Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. | Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin |
| 2025 | ICCV | Sim-DETR: Unlock DETR for Temporal Sentence Grounding. | Jiajin Tang, Zhengxuan Wei, Yuchen Zhu, Cheng Shi, Guanbin Li, Liang Lin, Sibei Yang |
| 2025 | ICCV | RoboPearls: Editable Video Simulation for Robot Manipulation. | Tang Tao, Likui Zhang, Youpeng Wen, Kaidong Zhang, Jia-Wang Bian, Xia Zhou, Tianyi Yan, Kun Zhan, Peng Jia, Hefeng Wu, Liang Lin, Xiaodan Liang |
| 2025 | ICCV | Free-Moref: Instantly Multiplexing Context Perception Capabilities of Video-Mllms Within Single Inference. | Kuo Wang, Quanlong Zheng, Junlin Xie, Yanhao Zhang, Jinguo Luo, Haonan Lu, Liang Lin, Fan Zhou, Guanbin Li |
| 2025 | ICCV | RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation. | Kaidong Zhang, Rongtao Xu, Pengzhen Ren, Junfan Lin, Hefeng Wu, Liang Lin, Xiaodan Liang |
| 2025 | ICLR | Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective. | Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin |
| 2025 | ICML | Language Models as Implicit Tree Search. | Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin |
| 2025 | ICML | Are High-Quality AI-Generated Images More Difficult for Models to Detect? | Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, ZiYi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei |
| 2025 | KDD | AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay. | Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin |
| 2025 | SIGMOD | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB. | Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Yuhao Li, Zhencan Peng, Lan Lu, Wenchao Zhou, Liang Lin, Feifei Li |
| 2024 | AAAI | EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. | Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang |
| 2024 | AAAI | Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. | Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin |
| 2024 | AAAI | FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. | Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin |
| 2024 | ACL | VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. | Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin |
| 2024 | ACL | HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. | Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin |
| 2024 | CVPR | Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation. | Tianshui Chen, Jianman Lin, Zhijing Yang, Chunmei Qing, Liang Lin |
| 2024 | CVPR | Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. | Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li |
| 2024 | CVPR | AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. | Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang |
| 2024 | CVPR | Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. | Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou |
| 2024 | ECCV | WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. | Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin |
| 2024 | ECCV | Stripe Observation Guided Inference Cost-Free Attention Mechanism. | Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin |
| 2024 | ECCV | MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection. | Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li |
| 2024 | EMNLP | Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation. | Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam |
| 2024 | ICASSP | Credible Teacher for Semi-Supervised Object Detection in Open Scene. | Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li |
| 2024 | ICML | AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. | Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin |
| 2024 | ICML | Kepler codebook. | Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin |
| 2024 | ICPR | Semantic Correlation Adaptation for Union-Set Multi-label Image Recognition. | Xinyu Wang, Tao Pu, Dongyu Zhang, Liang Lin |
| 2024 | WWW | Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. | Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin |
| 2024 | SIGMOD | Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB. | Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Wenchao Zhou, Liang Lin, Feifei Li |
| 2023 | AAAI | Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. | Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu |
| 2023 | AAAI | Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. | Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li |
| 2023 | AAAI | De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. | Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou |
| 2023 | AAAI | Scene Graph to Image Synthesis via Knowledge Consensus. | Yang Wu, Pengxu Wei, Liang Lin |
| 2023 | CVPR | Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. | Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen |
| 2023 | CVPR | Masked Images Are Counterfactual Samples for Robust Fine-Tuning. | Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin |
| 2023 | CVPR | Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. | Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li |
| 2023 | EMNLP | HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. | Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin |
| 2023 | ICCV | A Retrospect to Multi-prompt Learning across Vision and Language. | Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo |
| 2023 | ICCV | Understanding Self-attention Mechanism via Dynamical System Perspective. | Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin |
| 2023 | ICCV | Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. | Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang |
| 2023 | ICCV | Enhanced Soft Label for Semi-Supervised Semantic Segmentation. | Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li |
| 2023 | ICCV | Towards Real-World Burst Image Super-Resolution: Benchmark and Method. | Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin |
| 2023 | ICCV | LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. | Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2023 | ICCV | SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. | Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin |
| 2023 | ICCV | RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. | Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li |
| 2023 | ICCV | DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. | Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang |
| 2023 | IJCAI | DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. | Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin |
| 2023 | IJCAI | Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. | Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin |
| 2023 | SiggraphA | DreamEditor: Text-Driven 3D Scene Editing with Neural Fields. | Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, Guanbin Li |
| 2022 | AAAI | Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. | Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin |
| 2022 | AAAI | Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. | Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin |
| 2022 | AAAI | Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. | Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li |
| 2022 | ACCV | Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. | Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin |
| 2022 | CVPR | Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. | Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr |
| 2022 | CVPR | Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. | Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li |
| 2022 | CVPR | Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. | Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang |
| 2022 | ECCV | Adversarially-Aware Robust Object Detector. | Ziyi Dong, Pengxu Wei, Liang Lin |
| 2022 | EMNLP | UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. | Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang |
| 2022 | EMNLP | LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. | Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang |
| 2022 | ICASSP | Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. | Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang |
| 2022 | IJCAI | Double-Check Soft Teacher for Semi-Supervised Object Detection. | Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li |
| 2021 | AAAI | Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. | Xipeng Chen, Pengxu Wei, Liang Lin |
| 2021 | AAAI | Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. | Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin |
| 2021 | AAAI | Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. | Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin |
| 2021 | ACL | GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. | Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin |
| 2021 | ACL | Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. | Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin |
| 2021 | ACL | Towards Quantifiable Dialogue Coherence Evaluation. | Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang |
| 2021 | CVPR | Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. | Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin |
| 2021 | EMNLP | Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. | Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. | Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. | Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li |
| 2021 | ICCV | Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. | Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Solving Inefficiency of Self-supervised Representation Learning. | Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin |
| 2021 | IJCAI | Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. | Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin |
| 2021 | ICRA | Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. | Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin |
| 2021 | ICRA | AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. | Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin |
| 2020 | AAAI | Knowledge Graph Transfer Network for Few-Shot Recognition. | Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin |
| 2020 | AAAI | Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video. | Jie Wu, Guanbin Li, Si Liu, Liang Lin |
| 2020 | AAAI | An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. | Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin |
| 2020 | CVPR | Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. | Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin |
| 2020 | CVPR | Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. | Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang |
| 2020 | CVPR | Bidirectional Graph Reasoning Network for Panoptic Segmentation. | Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin |
| 2020 | CVPR | NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. | Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji |
| 2020 | ECCV | AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. | Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir |
| 2020 | ECCV | Component Divide-and-Conquer for Real-World Image Super-Resolution. | Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin |
| 2020 | ECCV | Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. | Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin |
| 2020 | EMNLP | GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. | Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang |
| 2020 | EMNLP | Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. | Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin |
| 2020 | KDD | Grammatically Recognizing Images with Tree Convolution. | Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin |
| 2019 | AAAI | FRAME Revisited: An Interpretation View Based on Particle Evolution. | Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin |
| 2019 | AAAI | Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. | Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin |
| 2019 | AAAI | End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. | Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin |
| 2019 | CIKM | CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. | Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin |
| 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 | Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. | Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin |
| 2019 | CVPR | ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. | Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin |
| 2019 | CVPR | Knowledge-Embedded Routing Network for Scene Graph Generation. | Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin |
| 2019 | CVPR | Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. | Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin |
| 2019 | CVPR | Graphonomy: Universal Human Parsing via Graph Transfer Learning. | Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin |
| 2019 | CVPR | NTIRE 2019 Challenge on Image Enhancement: Methods and Results. | Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi |
| 2019 | CVPR | Spatially Variant Linear Representation Models for Joint Filtering. | Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang |
| 2019 | CVPR | Adaptively Connected Neural Networks. | Guangrun Wang, Keze Wang, Liang Lin |
| 2019 | CVPR | Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. | Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li |
| 2019 | CVPR | Layout-Graph Reasoning for Fashion Landmark Detection. | Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin |
| 2019 | ICCV | Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. | Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin |
| 2019 | ICCV | Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. | Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang |
| 2019 | ICCV | Crowd Counting With Deep Structured Scale Integration Network. | Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin |
| 2019 | ICCV | Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. | Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin |
| 2019 | ICCV | Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. | Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin |
| 2019 | ICCV | Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. | Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin |
| 2019 | ICLR | NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. | Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin |
| 2019 | ICLR | SNAS: stochastic neural architecture search. | Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin |
| 2019 | ICML | Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. | Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin |
| 2019 | ICRA | Lightweight Contrast Modeling for Attention-Aware Visual Localization. | Lili Huang, Guanbin Li, Ya Li, Liang Lin |
| 2019 | MICCAI | Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. | Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang |
| 2018 | AAAI | Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. | Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang |
| 2018 | AAAI | Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. | Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin |
| 2018 | AAAI | Weakly Supervised Salient Object Detection Using Image Labels. | Guanbin Li, Yuan Xie, Liang Lin |
| 2018 | CVPR | Visual Question Reasoning on General Dependency Tree. | Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin |
| 2018 | CVPR | Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. | Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin |
| 2018 | CVPR | Multi-Level Wavelet-CNN for Image Restoration. | Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo |
| 2018 | CVPR | Single View Stereo Matching. | Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin |
| 2018 | CVPR | LSTM Pose Machines. | Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin |
| 2018 | CVPR | Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. | Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin |
| 2018 | CVPR | Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. | Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin |
| 2018 | CVPR | Interpretable Video Captioning via Trajectory Structured Localization. | Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin |
| 2018 | CVPR | Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. | Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin |
| 2018 | CVPR | Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks. | Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin |
| 2018 | CVPR | Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. | Ke Yu, Chao Dong, Liang Lin, Chen Change Loy |
| 2018 | ECCV | Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement. | Yukang Gan, Xiangyu Xu, Wenxiu Sun, Liang Lin |
| 2018 | ECCV | Instance-Level Human Parsing via Part Grouping Network. | Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin |
| 2018 | ECCV | PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. | Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung |
| 2018 | ECCV | Generative Semantic Manipulation with Mask-Contrasting GAN. | Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing |
| 2018 | ECCV | Learning Warped Guidance for Blind Face Restoration. | Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang |
| 2018 | ECCV | Toward Characteristic-Preserving Image-Based Virtual Try-On Network. | Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang |
| 2018 | ICASSP | Robust Object-Aware Sample Consensus with Application to Lidar Odometry. | Hui Cheng, Yongheng Hu, Chongyu Chen, Liang Lin |
| 2018 | IJCAI | Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. | Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo |
| 2018 | IJCAI | Crowd Counting using Deep Recurrent Spatial-Aware Network. | Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin |
| 2018 | IJCAI | DRPose3D: Depth Ranking in 3D Human Pose Estimation. | Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma |
| 2018 | IJCAI | Deep Reasoning with Knowledge Graph for Social Relationship Understanding. | Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin |
| 2018 | IJCAI | Convolutional Memory Blocks for Depth Data Representation Learning. | Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun |
| 2018 | ICRA | Fusing Object Context to Detect Functional Area for Cognitive Robots. | Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin |
| 2018 | ICRA | Avoidance of High-Speed Obstacles Based on Velocity Obstacles. | Zhongchang Liu, Zeyu Jiang, Tianye Xu, Hui Cheng, Zhipeng Xie, Liang Lin |
| 2018 | IROS | Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. | Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin |
| 2017 | AAAI | Learning Patch-Based Dynamic Graph for Visual Tracking. | Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang |
| 2017 | CVPR | Attention-Aware Face Hallucination via Deep Reinforcement Learning. | Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li |
| 2017 | CVPR | Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. | Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin |
| 2017 | CVPR | Interpretable Structure-Evolving LSTM. | Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing |
| 2017 | CVPR | Recurrent 3D Pose Sequence Machines. | Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng |
| 2017 | CVPR | Instance-Level Salient Object Segmentation. | Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu |
| 2017 | CVPR | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. | Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristvo Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo |
| 2017 | CVPR | Learning Object Interactions and Descriptions for Semantic Image Segmentation. | Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang |
| 2017 | CVPR | Joint Detection and Identification Feature Learning for Person Search. | Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang |
| 2017 | ICCV | Deep Dual Learning for Semantic Image Segmentation. | Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang |
| 2017 | ICCV | Multi-label Image Recognition by Recurrently Discovering Attentional Regions. | Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin |
| 2017 | IROS | Decentralized navigation of multiple agents based on ORCA and model predictive control. | Hui Cheng, Qiyuan Zhu, Zhongchang Liu, Tianye Xu, Liang Lin |
| 2017 | VTC | Inversely Proportional Carrier Sense Threshold and Transmit Power Setting Towards Green WLANs. | Bo Yin, Liang Lin, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera |
| 2016 | AAAI | DARI: Distance Metric and Representation Integration for Person Verification. | Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang |
| 2016 | ACCV | Boosting Zero-Shot Image Classification via Pairwise Relationship Learning. | Hanhui Li, Hefeng Wu, Shujin Lin, Liang Lin, Xiaonan Luo, Ebroul Izquierdo |
| 2016 | CVPR | Semantic Object Parsing with Local-Global Long Short-Term Memory. | Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | CVPR | Reversible Recursive Instance-Level Object Segmentation. | Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | CVPR | Deep Structured Scene Parsing by Learning with Image Descriptions. | Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo |
| 2016 | CVPR | Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. | Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang |
| 2016 | CVPR | Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification. | Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, Lei Zhang |
| 2016 | ECCV | Semantic Object Parsing with Graph LSTM. | Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | ECCV | LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. | Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin |
| 2016 | ECCV | Is Faster R-CNN Doing Well for Pedestrian Detection? | Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He |
| 2016 | ICASSP | Character proposal network for robust text extraction. | Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin |
| 2016 | IJCAI | A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction. | Xiaobai Liu, Yadong Mu, Liang Lin |
| 2016 | IJCAI | Geometric Scene Parsing with Hierarchical LSTM. | Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin |
| 2016 | ICPR | Learning a lightweight deep convolutional network for joint age and gender recognition. | Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang |
| 2015 | CVPR | SOLD: Sub-optimal low-rank decomposition for efficient video segmentation. | Chenglong Li, Liang Lin, Wangmeng Zuo, Shuicheng Yan, Jin Tang |
| 2015 | CVPR | Matching-CNN meets KNN: Quasi-parametric human parsing. | Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan |
| 2015 | CVPR | Discriminative learning of iteration-wise priors for blind deconvolution. | Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang |
| 2015 | ICCV | Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection. | Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan |
| 2015 | ICCV | Human Parsing with Contextualized Convolutional Neural Network. | Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan |
| 2014 | CVPR | Clothing Co-parsing by Joint Image Segmentation and Labeling. | Wei Yang, Ping Luo, Liang Lin |
| 2013 | CVPR | Robust Region Grouping via Internal Patch Statistics. | Xiaobai Liu, Liang Lin, Alan L. Yuille |
| 2013 | CVPR | PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. | Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin |
| 2013 | CVPR | Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection. | Xiaolong Wang, Liang Lin, Lichao Huang, Shuicheng Yan |
| 2013 | ICCV | SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor. | Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, Liang Lin |
| 2013 | ICCV | Correntropy Induced L2 Graph for Robust Subspace Clustering. | Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin |
| 2013 | ICCV | Human Re-identification by Matching Compositional Template with Cluster Sampling. | Yuanlu Xu, Liang Lin, Wei-Shi Zheng, Xiaobai Liu |
| 2012 | CVPR | Learning contour-fragment-based shape model with And-Or tree representation. | Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai |
| 2012 | CVPR | Cross-based local multipoint filtering. | Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Minh N. Do |
| 2012 | ECCV | Object-Layout-Aware Image Retrieval for Personal Album Management. | Mengyou Li, Zheng Song, Qiang Chen, Liang Lin, ZhongYang Huang, Shuicheng Yan |
| 2012 | ICIP | Realtime object-of-interest tracking by learning Composite Patch-based Templates. | Yuanlu Xu, Hongfei Zhou, Qing Wang, Liang Lin |
| 2011 | CVPR | Segment an image by looking into an image corpus. | Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin |
| 2011 | ICIP | Interactive CT image segmentation with online discriminative learning. | Wei Yang, Xiaolong Wang, Liang Lin, Chengying Gao |
| 2011 | ICIP | Color style transfer by constraint locally linear embedding. | Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, Liang Lin |
| 2010 | ECCV | Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics. | Ping Luo, Liang Lin, Hongyang Chao |
| 2010 | ICIP | Semantics-driven portrait cartoon stylization. | Ming Yang, Shu Lin, Ping Luo, Liang Lin, Hongyang Chao |
| 2010 | ICPR | A Discriminative Model for Object Representation and Detection via Sparse Features. | Xi Song, Ping Luo, Liang Lin, Yunde Jia |
| 2010 | ICPR | Tracking Objects with Adaptive Feature Patches for PTZ Camera Visual Surveillance. | Yi Xie, Liang Lin, Yunde Jia |
| 2009 | CVPR | Layered graph matching by composite cluster sampling with collaborative and competitive interactions. | Liang Lin, Kun Zeng, Xiaobai Liu, Song Chun Zhu |
| 2009 | CVPR | Trajectory parsing by cluster sampling in spatio-temporal graph. | Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin |
| 2009 | ICIP | Accurate semantic image labeling by fast Geodesic Propagation. | Xiaowu Chen, Dongyue Zhao, Yibiao Zhao, Liang Lin |
| 2009 | ICIP | Hierarchical 3D perception from a single image. | Ping Luo, Jiajie He, Liang Lin, Hongyang Chao |
| 2009 | ICIP | Interactive rotoscoping: Extracting and tracking object sketch. | Han Lv, Liang Lin, Kun Zeng, Nong Sang |
| 2008 | ICPR | Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch. | Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lanfang Dong |
| 2008 | ICPR | Layered shape matching and registration: Stochastic sampling with hierarchical graph representation. | Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbing Tao |
| 2008 | ICPR | An empirical study of facial components classification by integrating dimensionality reduction and clustering. | Feng Min, Liang Lin, Nong Sang |
| 2008 | ICPR | Spatio-temporal patches for night background modeling by subspace learning. | Youdong Zhao, Haifeng Gong, Liang Lin, Yunde Jia |
| 2007 | CVPR | Layered Graph Match with Graph Editing. | Liang Lin, Song Chun Zhu, Yongtian Wang |
| 2007 | ICCV | An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples. | Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu, Yongtian Wang |