Jiashi Feng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
194
Venues
21
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
194 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Video Depth Anything: Consistent Depth Estimation for Super-Long Videos. | Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang |
| 2025 | CVPR | Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders. | Rui Chen, Jianfeng Zhang, Yixun Liang, Guan Luo, Weiyu Li, Jiarui Liu, Xiu Li, Xiaoxiao Long, Jiashi Feng, Ping Tan |
| 2025 | CVPR | Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation. | Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang |
| 2025 | CVPR | VideoWorld: Exploring Knowledge Learning from Unlabeled Videos. | Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin |
| 2025 | CVPR | MagicArticulate: Make Your 3D Models Articulation-Ready. | Chaoyue Song, Jianfeng Zhang, Xiu Li, Fan Yang, Yiwen Chen, Zhongcong Xu, Jun Hao Liew, Xiaoyang Guo, Fayao Liu, Jiashi Feng, Guosheng Lin |
| 2025 | CVPR | Parallelized Autoregressive Visual Generation. | Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu |
| 2025 | CVPR | DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. | Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang |
| 2025 | ICCV | The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer. | Weixian Lei, Jiacong Wang, Haochen Wang, Xiangtai Li, Jun Hao Liew, Jiashi Feng, Zilong Huang |
| 2025 | ICCV | QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing. | Tiancheng Shen, Zilong Huang, Xiangtai Li, Zhijie Lin, Jiyang Liu, Yitong Wang, Jiashi Feng, Ming-Hsuan Yang, Jun Hao Liew |
| 2025 | ICCV | Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. | Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu |
| 2025 | ICCV | GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation. | Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu |
| 2025 | ICCV | Flash-Vstream: Efficient Real-Time Understanding for Long Video Streams. | Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin |
| 2025 | ICML | How Far Is Video Generation from World Model: A Physical Law Perspective. | Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng |
| 2025 | ICML | LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. | Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng |
| 2024 | CVPR | Video Recognition in Portrait Mode. | Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang |
| 2024 | CVPR | MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval. | Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng |
| 2024 | CVPR | Vista-llama: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens. | Fan Ma, Xiaojie Jin, Heng Wang, Yuchen Xian, Jiashi Feng, Yi Yang |
| 2024 | CVPR | PixelLM: Pixel Reasoning with Large Multimodal Model. | Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin |
| 2024 | CVPR | MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. | Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou |
| 2024 | CVPR | Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. | Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao |
| 2024 | DAC | EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. | Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer |
| 2024 | ECCV | Magic-Me: Identity-Specific Video Customized Diffusion. | Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng |
| 2024 | EMNLP | MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. | Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng |
| 2024 | ICLR | COSA: Concatenated Sample Pretrained Vision-Language Foundation Model. | Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu |
| 2024 | ICLR | AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. | Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan |
| 2023 | CVPR | DOAD: Decoupled One Stage Action Detection Network. | Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou |
| 2023 | CVPR | Clover: Towards A Unified Video-Language Alignment and Fusion Model. | Jingjia Huang, Yinan Li, Jiashi Feng, Xinglong Wu, Xiaoshuai Sun, Rongrong Ji |
| 2023 | CVPR | Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. | Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li |
| 2023 | CVPR | TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision. | Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap |
| 2023 | CVPR | OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis. | Hongyi Xu, Guoxian Song, Zihang Jiang, Jianfeng Zhang, Yichun Shi, Jing Liu, Wan-Chun Ma, Jiashi Feng, Linjie Luo |
| 2023 | CVPR | Diffusion Probabilistic Model Made Slim. | Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang |
| 2023 | ICCV | Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. | Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei |
| 2023 | ICCV | GETAvatar: Generative Textured Meshes for Animatable Human Avatars. | Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng |
| 2023 | ICCV | Dataset Quantization. | Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng |
| 2023 | ICLR | Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. | Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2023 | ICLR | PV3D: A 3D Generative Model for Portrait Video Generation. | Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou |
| 2023 | ICLR | Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. | Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You |
| 2023 | ICML | Reachability-Aware Laplacian Representation in Reinforcement Learning. | Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang |
| 2023 | ICML | PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. | Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor |
| 2022 | CVPR | PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. | Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang |
| 2022 | CVPR | DINE: Domain Adaptation from Single and Multiple Black-box Predictors. | Jian Liang, Dapeng Hu, Jiashi Feng, Ran He |
| 2022 | CVPR | Shunted Self-Attention via Multi-Scale Token Aggregation. | Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang |
| 2022 | CVPR | Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. | Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan |
| 2022 | CVPR | MetaFormer is Actually What You Need for Vision. | Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan |
| 2022 | ECCV | Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. | Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan |
| 2022 | ECCV | Slim Scissors: Segmenting Thin Object from Synthetic Background. | Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei |
| 2022 | ECCV | AvatarGen: A 3D Generative Model for Animatable Human Avatars. | Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng |
| 2022 | ICLR | Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. | Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan |
| 2022 | ICLR | Generalizing Few-Shot NAS with Gradient Matching. | Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng |
| 2022 | ICLR | How Well Does Self-Supervised Pre-Training Perform with Streaming Data? | Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng |
| 2022 | ICML | The Geometry of Robust Value Functions. | Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor |
| 2022 | ICML | Understanding The Robustness in Vision Transformers. | Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jos M. lvarez |
| 2022 | IJCAI | Towards Adversarially Robust Deep Image Denoising. | Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan |
| 2021 | ACL | LV-BERT: Exploiting Layer Variety for BERT. | Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng |
| 2021 | CIKM | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. | Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng |
| 2021 | CVPR | PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. | Kehong Gong, Jianfeng Zhang, Jiashi Feng |
| 2021 | CVPR | Coordinate Attention for Efficient Mobile Network Design. | Qibin Hou, Daquan Zhou, Jiashi Feng |
| 2021 | CVPR | Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2021 | CVPR | Continual Learning via Bit-Level Information Preserving. | Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng |
| 2021 | CVPR | Body Meshes as Points. | Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng |
| 2021 | ICCV | Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. | Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan |
| 2021 | ICCV | PnP-DETR: Towards Efficient Visual Analysis with Transformers. | Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan |
| 2021 | ICCV | Voxel Transformer for 3D Object Detection. | Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu |
| 2021 | ICCV | AutoSpace: Neural Architecture Search with Less Human Interference. | Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng |
| 2021 | ICLR | Exploring Balanced Feature Spaces for Representation Learning. | Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng |
| 2021 | ICML | Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. | Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng |
| 2021 | ICML | CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. | Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama |
| 2021 | WACV | Deep Interactive Thin Object Selection. | Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng |
| 2021 | WACV | DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. | Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng |
| 2021 | UAI | Task similarity aware meta learning: theory-inspired improvement on MAML. | Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi |
| 2020 | CVPR | Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. | Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng |
| 2020 | CVPR | PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. | Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan |
| 2020 | CVPR | Boosting Few-Shot Learning With Adaptive Margin Loss. | Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang |
| 2020 | CVPR | PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. | Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng |
| 2020 | CVPR | Improving Convolutional Networks With Self-Calibrated Convolutions. | Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng |
| 2020 | CVPR | Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. | Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng |
| 2020 | CVPR | Revisiting Knowledge Distillation via Label Smoothing Regularization. | Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng |
| 2020 | CVPR | Central Similarity Quantization for Efficient Image and Video Retrieval. | Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng |
| 2020 | ECCV | A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. | Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng |
| 2020 | ECCV | Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. | Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng |
| 2020 | ECCV | The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. | Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng |
| 2020 | ECCV | Rethinking Bottleneck Structure for Efficient Mobile Network Design. | Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan |
| 2020 | ICLR | Query-efficient Meta Attack to Deep Neural Networks. | Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng |
| 2020 | ICLR | Decoupling Representation and Classifier for Long-Tailed Recognition. | Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis |
| 2020 | ICLR | On Robustness of Neural Ordinary Differential Equations. | Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng |
| 2020 | ICLR | ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. | Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng |
| 2020 | ICLR | Neural Epitome Search for Architecture-Agnostic Network Compression. | Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng |
| 2020 | ICML | Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2020 | WWW | MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. | Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li |
| 2019 | AAAI | Learning to Localize Objects with Noisy Labeled Instances. | Xiaopeng Zhang, Yang Yang, Jiashi Feng |
| 2019 | AAAI | Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. | Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng |
| 2019 | AAAI | Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. | Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng |
| 2019 | AISTATS | Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. | Pan Zhou, Xiao-Tong Yuan, Jiashi Feng |
| 2019 | CVPR | Graph-Based Global Reasoning Networks. | Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis |
| 2019 | CVPR | A Simple Pooling-Based Design for Real-Time Salient Object Detection. | Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang |
| 2019 | CVPR | Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search. | Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng |
| 2019 | CVPR | Distilling Object Detectors With Fine-Grained Feature Imitation. | Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng |
| 2019 | CVPR | Few-Shot Adaptive Faster R-CNN. | Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng |
| 2019 | CVPR | Frame-Consistent Recurrent Video Deraining With Dual-Level Flow. | Wenhan Yang, Jiaying Liu, Jiashi Feng |
| 2019 | ICCV | Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. | Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng |
| 2019 | ICCV | Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification. | Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng |
| 2019 | ICCV | Few-Shot Object Detection via Feature Reweighting. | Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2019 | ICCV | MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. | Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng |
| 2019 | ICCV | Single-Stage Multi-Person Pose Machines. | Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, Shuicheng Yan |
| 2019 | ICCV | Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. | Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng |
| 2019 | ICCV | PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. | Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng |
| 2019 | IJCAI | Multi-Prototype Networks for Unconstrained Set-based Face Recognition. | Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng |
| 2019 | IJCAI | Dynamic Feature Fusion for Semantic Edge Detection. | Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng |
| 2019 | IJCAI | Generalized Majorization-Minimization for Non-Convex Optimization. | Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng |
| 2019 | WACV | Task Relation Networks. | Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim |
| 2018 | AAAI | Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation. | Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han |
| 2018 | AAAI | Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. | Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2018 | AAAI | Transferable Semi-Supervised Semantic Segmentation. | Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng |
| 2018 | ACCV | Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. | Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng |
| 2018 | CVPR | Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network. | Fang Zhao, Jianshu Li, Jian Zhao, Jiashi Feng |
| 2018 | CVPR | Zigzag Learning for Weakly Supervised Object Detection. | Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian |
| 2018 | CVPR | Left-Right Comparative Recurrent Model for Stereo Matching. | Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu |
| 2018 | CVPR | Learning Markov Clustering Networks for Scene Text Detection. | Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh |
| 2018 | CVPR | Human Pose Estimation With Parsing Induced Learner. | Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan |
| 2018 | CVPR | Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. | Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang |
| 2018 | CVPR | MoNet: Deep Motion Exploitation for Video Object Segmentation. | Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang |
| 2018 | CVPR | Adversarial Complementary Learning for Weakly Supervised Object Localization. | Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang |
| 2018 | CVPR | Towards Pose Invariant Face Recognition in the Wild. | Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng |
| 2018 | CVPR | Deep Adversarial Subspace Clustering. | Pan Zhou, Yunqing Hou, Jiashi Feng |
| 2018 | ECCV | Multi-fiber Networks for Video Recognition. | Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng |
| 2018 | ECCV | Pose Partition Networks for Multi-person Pose Estimation. | Xuecheng Nie, Jiashi Feng, Junliang Xing, Shuicheng Yan |
| 2018 | ECCV | Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation. | Xuecheng Nie, Jiashi Feng, Shuicheng Yan |
| 2018 | ECCV | TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. | Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang |
| 2018 | ECCV | Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval. | Xi Zhang, Hanjiang Lai, Jiashi Feng |
| 2018 | ECCV | ML-LocNet: Improving Object Localization with Multi-view Learning Network. | Xiaopeng Zhang, Yang Yang, Jiashi Feng |
| 2018 | ECCV | Dynamic Conditional Networks for Few-Shot Learning. | Fang Zhao, Jian Zhao, Shuicheng Yan, Jiashi Feng |
| 2018 | ICDM | Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. | Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng |
| 2018 | ICLR | Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. | Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor |
| 2018 | ICLR | Empirical Risk Landscape Analysis for Understanding Deep Neural Networks. | Pan Zhou, Jiashi Feng |
| 2018 | ICML | WSNet: Compact and Efficient Networks Through Weight Sampling. | Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan |
| 2018 | ICML | Policy Optimization with Demonstrations. | Bingyi Kang, Zequn Jie, Jiashi Feng |
| 2018 | ICML | Understanding Generalization and Optimization Performance of Deep CNNs. | Pan Zhou, Jiashi Feng |
| 2018 | IJCAI | Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. | Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2018 | IJCAI | Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. | Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2018 | IJCAI | 3D-Aided Deep Pose-Invariant Face Recognition. | Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng |
| 2018 | IROS | Egocentric Spatial Memory. | Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng |
| 2018 | UAI | Transferable Meta Learning Across Domains. | Bingyi Kang, Jiashi Feng |
| 2017 | AAAI | Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. | Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker |
| 2017 | AAAI | Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. | Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan |
| 2017 | AAAI | Cascade Subspace Clustering. | Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi |
| 2017 | BMVC | Marginalized CNN: Learning Deep Invariant Representations. | Jian Zhao, Jianshu Li, Fang Zhao, Xuecheng Nie, Yunpeng Chen, Shuicheng Yan, Jiashi Feng |
| 2017 | CVPR | Learning Detection with Diverse Proposals. | Samaneh Azadi, Jiashi Feng, Trevor Darrell |
| 2017 | CVPR | Deep Self-Taught Learning for Weakly Supervised Object Localization. | Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu |
| 2017 | CVPR | Interpretable Structure-Evolving LSTM. | Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing |
| 2017 | CVPR | Estimation of Affective Level in the Wild with Multiple Memory Networks. | Jianshu Li, Yunpeng Chen, Shengtao Xiao, Jian Zhao, Sujoy Roy, Jiashi Feng, Shuicheng Yan, Terence Sim |
| 2017 | CVPR | Perceptual Generative Adversarial Networks for Small Object Detection. | Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan |
| 2017 | CVPR | Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. | Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan |
| 2017 | CVPR | 3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection. | Shengtao Xiao, Jianshu Li, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan, Ashraf A. Kassim |
| 2017 | CVPR | Deep Joint Rain Detection and Removal from a Single Image. | Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan |
| 2017 | CVPR | Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. | Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng |
| 2017 | CVPR | Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search. | Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan |
| 2017 | CVPR | Self-Supervised Neural Aggregation Networks for Human Parsing. | Jian Zhao, Jianshu Li, Xuecheng Nie, Fang Zhao, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan |
| 2017 | CVPR | Outlier-Robust Tensor PCA. | Pan Zhou, Jiashi Feng |
| 2017 | ICCV | Video Scene Parsing with Predictive Feature Learning. | Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan |
| 2017 | ICCV | Regional Interactive Image Segmentation Networks. | Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng |
| 2017 | ICCV | FoveaNet: Perspective-Aware Urban Scene Parsing. | Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng |
| 2017 | ICCV | Neural Person Search Machines. | Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan |
| 2017 | ICCV | Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection. | Shengtao Xiao, Jiashi Feng, Luoqi Liu, Xuecheng Nie, Wei Wang, Shuicheng Yan, Ashraf A. Kassim |
| 2017 | IJCAI | Training Group Orthogonal Neural Networks with Privileged Information. | Yunpeng Chen, Xiaojie Jin, Jiashi Feng, Shuicheng Yan |
| 2017 | IJCAI | Online Robust Low-Rank Tensor Learning. | Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan |
| 2017 | IJCNN | Online compressed robust PCA. | Pingbo Pan, Jiashi Feng, Ling Chen, Yi Yang |
| 2017 | UAI | Neighborhood Regularized l^1-Graph. | Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang |
| 2016 | AAAI | Deep Learning with S-Shaped Rectified Linear Activation Units. | Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan |
| 2016 | AAAI | Return of Frustratingly Easy Domain Adaptation. | Baochen Sun, Jiashi Feng, Kate Saenko |
| 2016 | CVPR | Recurrently Target-Attending Tracking. | Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan |
| 2016 | CVPR | Natural Language Object Retrieval. | Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell |
| 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 | Highway Vehicle Counting in Compressed Domain. | Xu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi |
| 2016 | CVPR | Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. | Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan |
| 2016 | CVPR | Recurrent Face Aging. | Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe |
| 2016 | ECCV | Collaborative Layer-Wise Discriminative Learning in Deep Neural Networks. | Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan |
| 2016 | ECCV | Semantic Object Parsing with Graph LSTM. | Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | ECCV | Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks. | Shengtao Xiao, Jiashi Feng, Junliang Xing, Hanjiang Lai, Shuicheng Yan, Ashraf A. Kassim |
| 2016 | ECCV | ℓ ^0 ℓ 0 -Sparse Subspace Clustering. | Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang |
| 2016 | ICMI | Happiness level prediction with sequential inputs via multiple regressions. | Jianshu Li, Sujoy Roy, Jiashi Feng, Terence Sim |
| 2016 | IJCAI | DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. | Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua |
| 2016 | IJCAI | Deep Subspace Clustering with Sparsity Prior. | Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi |
| 2015 | ICCV | Learning the Structure of Deep Convolutional Networks. | Jiashi Feng, Trevor Darrell |
| 2014 | CVPR | Learning Scalable Discriminative Dictionary with Sample Relatedness. | Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell |
| 2014 | CVPR | Robust Subspace Segmentation with Block-Diagonal Prior. | Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan |
| 2013 | BMVC | Perception Preserving Projections. | Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu |
| 2013 | CVPR | Subcategory-Aware Object Classification. | Jian Dong, Wei Xia, Qiang Chen, Jiashi Feng, ZhongYang Huang, Shuicheng Yan |
| 2013 | ICCV | Correlation Adaptive Subspace Segmentation by Trace Lasso. | Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2012 | ECCV | Auto-Grouped Sparse Representation for Visual Analysis. | Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan |
| 2012 | ECCV | Segmentation over Detection by Coupled Global and Local Sparse Representations. | Wei Xia, Zheng Song, Jiashi Feng, Loong Fah Cheong, Shuicheng Yan |
| 2012 | ICML | Robust PCA in High-dimension: A Deterministic Approach. | Jiashi Feng, Huan Xu, Shuicheng Yan |
| 2011 | CVPR | Geometric ℓp-norm feature pooling for image classification. | Jiashi Feng, Bingbing Ni, Qi Tian, Shuicheng Yan |
| 2011 | CVPR | Segment an image by looking into an image corpus. | Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin |