Feng, Jiashi

192 publications

ICCV 2025 Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu

CVPR 2025 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

CVPR 2025 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

ICCV 2025 Flash-VStream: Efficient Real-Time Understanding for Long Video Streams Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin

ICCV 2025 GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu

ICML 2025 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

ICML 2025 LightningDrag: Lightning Fast and Accurate Drag-Based Image Editing Emerging from Videos Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng

CVPR 2025 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

CVPR 2025 Parallelized Autoregressive Visual Generation Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu

CVPR 2025 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

NeurIPS 2025 Puppeteer: Rig and Animate Your 3D Models Chaoyue Song, Xiu Li, Fan Yang, Zhongcong Xu, Jiacheng Wei, Fayao Liu, Jiashi Feng, Guosheng Lin, Jianfeng Zhang

ICCV 2025 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

NeurIPS 2025 SuperCLIP: CLIP with Simple Classification Supervision Weiheng Zhao, Zilong Huang, Jiashi Feng, Xinggang Wang

ICCV 2025 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

CVPR 2025 Video Depth Anything: Consistent Depth Estimation for Super-Long Videos Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang

CVPR 2025 VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin

ICLR 2024 AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan

ICLR 2024 COSA: Concatenated Sample Pretrained Vision-Language Foundation Model Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu

NeurIPS 2024 Classification Done Right for Vision-Language Pre-Training Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan

NeurIPS 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

NeurIPS 2024 Depth Anything V2 Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

CVPR 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

NeurIPS 2024 Image Understanding Makes for a Good Tokenizer for Image Generation Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang

NeurIPS 2024 LVD-2M: A Long-Take Video Dataset with Temporally Dense Captions Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu

CVPR 2024 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

ECCVW 2024 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

ICLRW 2024 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

CVPR 2024 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

NeurIPS 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng

CVPR 2024 PixelLM: Pixel Reasoning with Large Multimodal Model Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin

NeurIPS 2024 StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou

CVPR 2024 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

CVPR 2024 Video Recognition in Portrait Mode Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang

CVPR 2023 Clover: Towards a Unified Video-Language Alignment and Fusion Model Jingjia Huang, Yinan Li, Jiashi Feng, Xinglong Wu, Xiaoshuai Sun, Rongrong Ji

CVPRW 2023 DOAD: Decoupled One Stage Action Detection Network Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou

ICCV 2023 Dataset Quantization Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng

CVPR 2023 Diffusion Probabilistic Model Made Slim Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

ICLR 2023 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

NeurIPS 2023 Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng

ICCV 2023 GETAvatar: Generative Textured Meshes for Animatable Human Avatars Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng

ICCV 2023 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

CVPR 2023 OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis Hongyi Xu, Guoxian Song, Zihang Jiang, Jianfeng Zhang, Yichun Shi, Jing Liu, Wanchun Ma, Jiashi Feng, Linjie Luo

ICML 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

ICLR 2023 PV3D: A 3D Generative Model for Portrait Video Generation Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou

ICML 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

ICLR 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan

CVPR 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li

CVPR 2023 TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap

NeurIPS 2023 XAGen: 3D Expressive Human Avatars Generation Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou

ECCVW 2022 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

TMLR 2022 DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-Parameter and Architecture Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

CVPR 2022 DINE: Domain Adaptation from Single and Multiple Black-Box Predictors Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

ICLR 2022 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 Tan

ICLR 2022 Generalizing Few-Shot NAS with Gradient Matching Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng

ECCV 2022 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

ICLR 2022 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

LoG 2022 Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang

CVPR 2022 MetaFormer Is Actually What You Need for Vision Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan

CVPR 2022 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

CVPR 2022 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

NeurIPS 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang

NeurIPS 2022 Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng

NeurIPS 2022 Sharpness-Aware Training for Free Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou

CVPR 2022 Shunted Self-Attention via Multi-Scale Token Aggregation Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

ECCV 2022 Slim Scissors: Segmenting Thin Object from Synthetic Background Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei

ICML 2022 The Geometry of Robust Value Functions Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

IJCAI 2022 Towards Adversarially Robust Deep Image Denoising Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan

ICML 2022 Understanding the Robustness in Vision Transformers Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez

NeurIPS 2021 All Tokens Matter: Token Labeling for Training Better Vision Transformers Zi-Hang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng

ICCV 2021 AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng

CVPR 2021 Body Meshes as Points Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng

ICML 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-Wise Importance-Based Feature Selection Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama

CVPR 2021 Continual Learning via Bit-Level Information Preserving Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng

CVPR 2021 Coordinate Attention for Efficient Mobile Network Design Qibin Hou, Daquan Zhou, Jiashi Feng

WACV 2021 DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng

WACV 2021 Deep Interactive Thin Object Selection Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Jiashi Feng

NeurIPS 2021 Direct Multi-View Multi-Person 3D Pose Estimation Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng

CVPR 2021 Domain Adaptation with Auxiliary Target Domain-Oriented Classifier Jian Liang, Dapeng Hu, Jiashi Feng

ICLR 2021 Exploring Balanced Feature Spaces for Representation Learning Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng

NeurIPSW 2021 How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

NeurIPS 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng

ICCV 2021 PnP-DETR: Towards Efficient Visual Analysis with Transformers Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

CVPR 2021 PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation Kehong Gong, Jianfeng Zhang, Jiashi Feng

UAI 2021 Task Similarity Aware Meta Learning: Theory-Inspired Improvement on MAML Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven Hoi

ICCV 2021 Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zi-Hang Jiang, Francis E.H. Tay, Jiashi Feng, Shuicheng Yan

ICML 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

NeurIPS 2021 Towards Understanding Why Lookahead Generalizes Better than SGD and Beyond Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan

NeurIPS 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng

ICCV 2021 Voxel Transformer for 3D Object Detection Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

ECCV 2020 A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng

ECCV 2020 Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng

NeurIPS 2020 ConvBERT: Improving BERT with Span-Based Dynamic Convolution Zi-Hang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

ICLR 2020 Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis

ICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang, Dapeng Hu, Jiashi Feng

NeurIPS 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

NeurIPS 2020 Inference Stage Optimization for Cross-Scenario 3D Human Pose Estimation Jianfeng Zhang, Xuecheng Nie, Jiashi Feng

ICLR 2020 Neural Epitome Search for Architecture-Agnostic Network Compression Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

ICLR 2020 On Robustness of Neural Ordinary Differential Equations Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng

ICLR 2020 Query-Efficient Meta Attack to Deep Neural Networks Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng

ICLR 2020 ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng

NeurIPS 2020 Residual Distillation: Towards Portable Deep Neural Networks Without Shortcuts Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang

ECCV 2020 Rethinking Bottleneck Structure for Efficient Mobile Network Design Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

ECCV 2020 The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

NeurIPS 2020 Towards Theoretically Understanding Why SGD Generalizes Better than Adam in Deep Learning Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu Hong Hoi, Weinan E

AAAI 2019 Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng

IJCAI 2019 Dynamic Feature Fusion for Semantic Edge Detection Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng

NeurIPS 2019 Efficient Meta Learning via Minibatch Proximal Update Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng

AISTATS 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

IJCAI 2019 Generalized Majorization-Minimization for Non-Convex Optimization Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng

AAAI 2019 Learning to Localize Objects with Noisy Labeled Instances Xiaopeng Zhang, Yang Yang, Jiashi Feng

AAAI 2019 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

IJCAI 2019 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

WACV 2019 Task Relation Networks Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim

IJCAI 2018 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

NeurIPS 2018 A^2-Nets: Double Attention Networks Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng

ECCV 2018 Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval Xi Zhang, Hanjiang Lai, Jiashi Feng

AAAI 2018 Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han

ECCV 2018 Dynamic Conditional Networks for Few-Shot Learning Fang Zhao, Jian Zhao, Shuicheng Yan, Jiashi Feng

NeurIPS 2018 Efficient Stochastic Gradient Hard Thresholding Pan Zhou, Xiaotong Yuan, Jiashi Feng

ICLR 2018 Empirical Risk Landscape Analysis for Understanding Deep Neural Networks Pan Zhou, Jiashi Feng

IJCAI 2018 Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

ECCV 2018 ML-LocNet: Improving Object Localization with Multi-View Learning Network Xiaopeng Zhang, Yang Yang, Jiashi Feng

ECCV 2018 Multi-Fiber Networks for Video Recognition Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng

ECCV 2018 Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation Xuecheng Nie, Jiashi Feng, Shuicheng Yan

NeurIPS 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity Pan Zhou, Xiaotong Yuan, Jiashi Feng

AAAI 2018 Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

ICML 2018 Policy Optimization with Demonstrations Bingyi Kang, Zequn Jie, Jiashi Feng

ECCV 2018 Pose Partition Networks for Multi-Person Pose Estimation Xuecheng Nie, Jiashi Feng, Junliang Xing, Shuicheng Yan

IJCAI 2018 Sharing Residual Units Through Collective Tensor Factorization to Improve Deep Neural Networks Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan

ECCV 2018 TS2C: 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 Huang

UAI 2018 Transferable Meta Learning Across Domains Bingyi Kang, Jiashi Feng

AAAI 2018 Transferable Semi-Supervised Semantic Segmentation Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng

ICML 2018 Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou, Jiashi Feng

ICML 2018 WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan

CVPRW 2017 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

AAAI 2017 Cascade Subspace Clustering Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi

CVPR 2017 Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng

CVPR 2017 Deep Joint Rain Detection and Removal from a Single Image Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan

CVPR 2017 Deep Self-Taught Learning for Weakly Supervised Object Localization Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu

NeurIPS 2017 Dual Path Networks Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng

NeurIPS 2017 Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis Jian Zhao, Lin Xiong, Panasonic Karlekar Jayashree, Jianshu Li, Fang Zhao, Zhecan Wang, Panasonic Sugiri Pranata, Panasonic Shengmei Shen, Shuicheng Yan, Jiashi Feng

AAAI 2017 Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker

CVPRW 2017 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

ICCV 2017 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

ICCVW 2017 High Performance Large Scale Face Recognition with Multi-Cognition SoftMax and Feature Retrieval Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing

CVPR 2017 Interpretable Structure-Evolving LSTM Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing

ICCVW 2017 Know You at One Glance: A Compact Vector Representation for Low-Shot Learning Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng

CVPR 2017 Learning Detection with Diverse Proposals Samaneh Azadi, Jiashi Feng, Trevor Darrell

CVPR 2017 Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan

AAAI 2017 Multi-Path Feedback Recurrent Neural Networks for Scene Parsing Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan

NeurIPS 2017 Multimodal Learning and Reasoning for Visual Question Answering Ilija Ilievski, Jiashi Feng

UAI 2017 Neighborhood Regularized L1-Graph Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang

ICCV 2017 Neural Person Search Machines Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan

CVPR 2017 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

IJCAI 2017 Online Robust Low-Rank Tensor Learning Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan

CVPR 2017 Outlier-Robust Tensor PCA Pan Zhou, Jiashi Feng

CVPR 2017 Perceptual Generative Adversarial Networks for Small Object Detection Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

NeurIPS 2017 Predicting Scene Parsing and Motion Dynamics in the Future Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan

ICCV 2017 Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection Shengtao Xiao, Jiashi Feng, Luoqi Liu, Xuecheng Nie, Wei Wang, Shuicheng Yan, Ashraf Kassim

ICCV 2017 Regional Interactive Image Segmentation Networks Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim-Heng Ong, Jiashi Feng

CVPRW 2017 Self-Supervised Neural Aggregation Networks for Human Parsing Jian Zhao, Jianshu Li, Xuecheng Nie, Fang Zhao, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan

IJCAI 2017 Training Group Orthogonal Neural Networks with Privileged Information Yunpeng Chen, Xiaojie Jin, Jiashi Feng, Shuicheng Yan

ICCV 2017 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

ICLR 2016 Auxiliary Image Regularization for Deep CNNs with Noisy Labels Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell

ECCV 2016 Collaborative Layer-Wise Discriminative Learning in Deep Neural Networks Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan

AAAI 2016 Deep Learning with S-Shaped Rectified Linear Activation Units Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan

IJCAI 2016 Deep Subspace Clustering with Sparsity Prior Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi

IJCAI 2016 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

CVPR 2016 Highway Vehicle Counting in Compressed Domain Xu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi

CVPR 2016 Natural Language Object Retrieval Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

CVPR 2016 Recurrent Face Aging Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe

CVPR 2016 Recurrently Target-Attending Tracking Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan

AAAI 2016 Return of Frustratingly Easy Domain Adaptation Baochen Sun, Jiashi Feng, Kate Saenko

CVPR 2016 Reversible Recursive Instance-Level Object Segmentation Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan

ECCV 2016 Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks Shengtao Xiao, Jiashi Feng, Junliang Xing, Hanjiang Lai, Shuicheng Yan, Ashraf A. Kassim

ECCV 2016 Semantic Object Parsing with Graph LSTM Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan

CVPR 2016 Semantic Object Parsing with Local-Global Long Short-Term Memory Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan

CVPR 2016 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

NeurIPS 2016 Tree-Structured Reinforcement Learning for Sequential Object Localization Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Lu, Shuicheng Yan

ECCV 2016 ℓ 0 ℓ 0 -Sparse Subspace Clustering Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang

ICCV 2015 Learning the Structure of Deep Convolutional Networks Jiashi Feng, Trevor Darrell

CVPR 2014 Learning Scalable Discriminative Dictionary with Sample Relatedness Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell

NeurIPS 2014 Robust Logistic Regression and Classification Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

CVPR 2014 Robust Subspace Segmentation with Block-Diagonal Prior Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan

ICCV 2013 Correlation Adaptive Subspace Segmentation by Trace Lasso Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

NeurIPS 2013 Online PCA for Contaminated Data Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

NeurIPS 2013 Online Robust PCA via Stochastic Optimization Jiashi Feng, Huan Xu, Shuicheng Yan

ECCV 2012 Auto-Grouped Sparse Representation for Visual Analysis Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan

ICML 2012 Robust PCA in High-Dimension: A Deterministic Approach Jiashi Feng, Huan Xu, Shuicheng Yan

ECCV 2012 Segmentation over Detection by Coupled Global and Local Sparse Representations Wei Xia, Zheng Song, Jiashi Feng, Loong Fah Cheong, Shuicheng Yan

CVPR 2011 Geometric ℓp-Norm Feature Pooling for Image Classification Jiashi Feng, Bingbing Ni, Qi Tian, Shuicheng Yan

CVPR 2011 Segment an Image by Looking into an Image Corpus Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin