Liu, Feng

158 publications

TMLR 2026 Let's Roll a BiFTA: Bi-Refinement for Fine-Grained Text-Visual Alignment in Vision-Language Models Yuhao Sun, Chengyi Cai, Jiacheng Zhang, Zesheng Ye, Xingliang Yuan, Feng Liu

TMLR 2026 Semantic-Aware Adversarial Fine-Tuning for CLIP Jiacheng Zhang, Jinhao Li, Hanxun Huang, Sarah Monazam Erfani, Benjamin I. P. Rubinstein, Feng Liu

ICML 2025 A Closer Look at Backdoor Attacks on CLIP Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng

UAI 2025 A Unified Data Representation Learning for Non-Parametric Two-Sample Testing Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu

CVPR 2025 AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-Based Person Re-Identification Huy Nguyen, Kien Nguyen, Akila Pemasiri, Feng Liu, Sridha Sridharan, Clinton Fookes

NeurIPS 2025 Anchor-Based Maximum Discrepancy for Relative Similarity Testing Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

ICLR 2025 Attribute-Based Visual Reprogramming for Vision-Language Models Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang, Feng Liu, Changshui Zhang

ICML 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization Zhangyi Liu, Feng Liu, Rui Gao, Shuang Li

NeurIPS 2025 DUAL: Learning Diverse Kernels for Aggregated Two-Sample and Independence Testing Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu

ICLR 2025 Deep Kernel Relative Test for Machine-Generated Text Detection Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu

IJCAI 2025 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi

CVPR 2025 DynRefer: Delving into Region-Level Multimodal Tasks via Dynamic Resolution Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan

NeurIPS 2025 EgoVid-5m: A Large-Scale Video-Action Dataset for Egocentric Videos Generation Xiaofeng Wang, Kang Zhao, Feng Liu, Jiayu Wang, Guosheng Zhao, Xiaoyi Bao, Zheng Zhu, Yingya Zhang

ICLR 2025 Endowing Visual Reprogramming with Adversarial Robustness Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng

ICCV 2025 Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling Zenghao Niu, Weicheng Xie, Siyang Song, Zitong Yu, Feng Liu, Linlin Shen

ICML 2025 Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng

TMLR 2025 Exploring Weak-to-Strong Generalization for CLIP-Based Classification Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu

AAAI 2025 FloNa: Floor Plan Guided Embodied Visual Navigation Jiaxin Li, Weiqi Huang, Zan Wang, Wei Liang, Huijun Di, Feng Liu

IJCAI 2025 Flow Matching Based Sequential Recommender Model Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li

ICML 2025 GRU: Mitigating the Trade-Off Between Unlearning and Retention for LLMs Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han

NeurIPS 2025 Generative Model Inversion Through the Lens of the Manifold Hypothesis Xiong Peng, Bo Han, Fengfei Yu, Tongliang Liu, Feng Liu, Mingyuan Zhou

ICCV 2025 HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-Based Person ReID Yiyang Su, Yunping Shi, Feng Liu, Xiaoming Liu

NeurIPS 2025 Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG Shihao Yang, Feng Liu

ICML 2025 Learning Imbalanced Data with Beneficial Label Noise Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng

NeurIPS 2025 Long-Tailed Recognition with Model Rebalancing Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao

ICLR 2025 Lossy Compression with Pretrained Diffusion Models Jeremy Vonderfecht, Feng Liu

CVPRW 2025 Mamba-VA: A Mamba-Based Approach for Continuous Emotion Recognition in Valence-Arousal Space Yuheng Liang, Zheyu Wang, Feng Liu, Mingzhou Liu, Yu Yao

CVPR 2025 Move-in-2D: 2D-Conditioned Human Motion Generation Hsin-Ping Huang, Yang Zhou, Jui-Hsien Wang, Difan Liu, Feng Liu, Ming-Hsuan Yang, Zhan Xu

IJCAI 2025 Multi-View Clustering via Multi-Granularity Ensemble Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

CVPR 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi

ICML 2025 NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu

ICML 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu

NeurIPS 2025 Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Shuhai Zhang, ZiHao Lian, Jiahao Yang, Daiyuan Li, Guoxuan Pang, Feng Liu, Bo Han, Shutao Li, Mingkui Tan

NeurIPS 2025 Practical Kernel Selection for Kernel-Based Conditional Independence Test Wenjie Wang, Mingming Gong, Biwei Huang, James Bailey, Bo Han, Kun Zhang, Feng Liu

AAAI 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

CVPRW 2025 Progressive Autoregressive Video Diffusion Models Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie E. Kaufman, Yang Zhou

ICCV 2025 Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces Aniruddha Mahapatra, Long Mai, David Bourgin, Yitian Zhang, Feng Liu

ICCV 2025 REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder Yitian Zhang, Long Mai, Aniruddha Mahapatra, David Bourgin, Yicong Hong, Jonah Casebeer, Feng Liu, Yun Fu

NeurIPS 2025 Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen

ICML 2025 Sample-Specific Noise Injection for Diffusion-Based Adversarial Purification Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu

CVPR 2025 SapiensID: Foundation for Human Recognition Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu

ICLR 2025 Score-Based Free-Form Architectures for High-Dimensional Fokker-Planck Equations Feng Liu, Faguo Wu, Xiao Zhang

CVPRW 2025 Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directions Yifei Dong, Fengyi Wu, Sanjian Zhang, Guangyu Chen, Yuzhi Hu, Masumi Yano, Jingdong Sun, Siyu Huang, Feng Liu, Qi Dai, Zhi-Qi Cheng

CVPR 2025 ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz

ICML 2025 Test-Time Multimodal Backdoor Detection by Contrastive Prompting Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng

CVPR 2025 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Feng Liu, Shiwei Zhang, Xiaofeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, Fang Wan

NeurIPS 2025 Towards Accurate Time Series Forecasting via Implicit Decoding Xinyu Li, Yuchen Luo, Hao Wang, Haoxuan Li, Liuhua Peng, Feng Liu, Yandong Guo, Kun Zhang, Mingming Gong

ICML 2025 Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

CVPR 2025 VideoGigaGAN: Towards Detail-Rich Video Super-Resolution Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu

CVPR 2025 Visual Persona: Foundation Model for Full-Body Human Customization Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Seungryong Kim, Yang Zhou

NeurIPS 2024 Bayesian-Guided Label Mapping for Visual Reprogramming Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

ICML 2024 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng

ECCV 2024 Customize-a-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava

CVPR 2024 Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu

WACV 2024 FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu

ECCV 2024 Fast View Synthesis of Casual Videos with Soup-of-Planes Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu

ECCV 2024 HARIVO: Harnessing Text-to-Image Models for Video Generation Mingi Kwon, Seoung Wug Oh, Yang Zhou, Joon-Young Lee, Difan Liu, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh

TMLR 2024 HiFE: Hierarchical Feature Ensemble Framework for Few-Shot Hypotheses Adaptation Yongfeng Zhong, Haoang Chi, Feng Liu, Xiao-Ming Wu, Bo Han

ICML 2024 Improving Accuracy-Robustness Trade-Off via Pixel Reweighted Adversarial Training Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu

NeurIPS 2024 In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong

CVPR 2024 KeyPoint Relative Position Encoding for Face Recognition Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, Xiaoming Liu

ICLR 2024 LRM: Large Reconstruction Model for Single Image to 3D Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan

ICML 2024 MOKD: Cross-Domain Finetuning for Few-Shot Classification via Maximizing Optimized Kernel Dependence Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-Ming Cheung, Bo Han

NeurIPS 2024 Mind the Gap Between Prototypes and Images in Cross-Domain Finetuning Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han

ICLR 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han

JMLR 2024 On the Learnability of Out-of-Distribution Detection Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu

ECCV 2024 Open-Set Biometrics: Beyond Good Closed-Set Models Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu

ICML 2024 Optimal Kernel Choice for Score Function-Based Causal Discovery Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong

TMLR 2024 Predicting the Encoding Error of SIRENs Jeremy Vonderfecht, Feng Liu

NeurIPS 2024 Pseudo-Private Data Guided Model Inversion Attacks Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou

ECCV 2024 Ray Denoising: Depth-Aware Hard Negative Sampling for Multi-View 3D Object Detection Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou

CVPR 2024 SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang

ICML 2024 Sample-Specific Masks for Visual Reprogramming-Based Prompting Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

NeurIPS 2024 SongCreator: Lyrics-Based Universal Song Generation Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng

CVPR 2024 TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process Zhiyuan Ren, Minchul Kim, Feng Liu, Xiaoming Liu

NeurIPS 2024 Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Haoang Chi, He Li, Wenjing Yang, Feng Liu, Long Lan, Xiaoguang Ren, Tongliang Liu, Bo Han

ICML 2024 Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu

ACML 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification Qingya Wang, Feng Liu, Bin Luo

CVPR 2023 AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx

TMLR 2023 Attacking Perceptual Similarity Metrics Abhijay Ghildyal, Feng Liu

CVPR 2023 DCFace: Synthetic Face Generation with Dual Condition Diffusion Model Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu

ICML 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan

ICML 2023 Detecting Out-of-Distribution Data Through In-Distribution Class Prior Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han

ICML 2023 Diversity-Enhancing Generative Network for Few-Shot Hypothesis Adaptation Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han

NeurIPS 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli

AAAI 2023 Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu

NeurIPS 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli

ICCV 2023 Integrally Migrating Pre-Trained Transformer Encoder-Decoders for Visual Object Detection Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye

TMLR 2023 KRADA: Known-Region-Aware Domain Alignment for Open-Set Domain Adaptation in Semantic Segmentation Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han

ICCV 2023 Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu

NeurIPS 2023 Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han

NeurIPS 2023 Out-of-Distribution Detection Learning with Unreliable Out-of-Distribution Sources Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han

ICLR 2023 Out-of-Distribution Detection with Implicit Outlier Transformation Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

ICCV 2023 Partition Speeds up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

CVPR 2023 Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition Hanyang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou

ICCV 2023 Shift from Texture-Bias to Shape-Bias: Edge Deformation-Based Augmentation for Robust Object Recognition Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen

ECCV 2022 2D GANs Meet Unsupervised Single-View 3D Reconstruction Feng Liu, Xiaoming Liu

ECCV 2022 A Perceptual Quality Metric for Video Frame Interpolation Qiqi Hou, Abhijay Ghildyal, Feng Liu

ICML 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

ACML 2022 Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-Off Between Efficiency and Flexibility Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen

ECCV 2022 Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

NeurIPS 2022 Cluster and Aggregate: Face Recognition with Large Probe Set Minchul Kim, Feng Liu, Anil K Jain, Xiaoming Liu

ECCV 2022 Controllable and Guided Face Synthesis for Unconstrained Face Recognition Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

ECCV 2022 Effective Presentation Attack Detection Driven by Face Related Task Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch

ICML 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng

TMLR 2022 Fingerprints of Super Resolution Networks Jeremy Vonderfecht, Feng Liu

NeurIPS 2022 Is Out-of-Distribution Detection Learnable? Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

ICLR 2022 Meta Discovery: Learning to Discover Novel Classes Given Very Limited Data Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

NeurIPS 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu

CVPR 2022 Motion-Adjustable Neural Implicit Video Representation Long Mai, Feng Liu

ECCV 2022 Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu

ECCV 2022 Shift-Tolerant Perceptual Similarity Metric Abhijay Ghildyal, Feng Liu

NeurIPS 2022 Watermarking for Out-of-Distribution Detection Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han

AAAI 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu

CVPR 2021 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

ICCVW 2021 Cross-Modal Matching CNN for Autonomous Driving Sensor Data Monitoring Yiqiang Chen, Feng Liu, Ke Pei

ICCV 2021 Deep 3D Mask Volume for View Synthesis of Dynamic Scenes Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi

CVPR 2021 Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction Feng Liu, Luan Tran, Xiaoming Liu

ICCV 2021 Group-Wise Inhibition Based Feature Regularization for Robust Classification Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen

AAAI 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

WACV 2021 Learned Dual-View Reflection Removal Simon Niklaus, Xuaner Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue

ICML 2021 Learning Bounds for Open-Set Learning Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

ICML 2021 Maximum Mean Discrepancy Test Is Aware of Adversarial Attacks Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama

NeurIPS 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

NeurIPS 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

NeurIPS 2021 TOHAN: A One-Step Approach Towards Few-Shot Hypothesis Adaptation Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William Cheung, James T. Kwok

NeurIPS 2021 Voxel-Based 3D Detection and Reconstruction of Multiple Objects from a Single Image Feng Liu, Xiaoming Liu

IJCAI 2020 Clarinet: A One-Step Approach Towards Budget-Friendly Unsupervised Domain Adaptation Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

ICML 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland

NeurIPS 2020 Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu, Xiaoming Liu

IJCAI 2019 Cross-City Transfer Learning for Deep Spatio-Temporal Prediction Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang

NeurIPS 2019 Meta Learning with Relational Information for Short Sequences Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha

ICLR 2019 On Computation and Generalization of Generative Adversarial Networks Under Spectrum Control Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

CVPRW 2019 Revisiting Depth-Based Face Recognition from a Quality Perspective Zhenguo Hu, Qijun Zhao, Feng Liu

ECCV 2018 Interactive Boundary Prediction for Object Selection Hoang Le, Long Mai, Brian Price, Scott Cohen, Hailin Jin, Feng Liu

AAAI 2017 A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu

AAAI 2017 A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern Feng Liu

CVPR 2017 Semantic Regularisation for Recurrent Image Annotation Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

CVPR 2017 Spatial-Semantic Image Search by Visual Feature Synthesis Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu

CVPR 2017 Video Frame Interpolation via Adaptive Convolution Simon Niklaus, Long Mai, Feng Liu

ICCV 2017 Video Frame Interpolation via Adaptive Separable Convolution Simon Niklaus, Long Mai, Feng Liu

CVPR 2016 Composition-Preserving Deep Photo Aesthetics Assessment Long Mai, Hailin Jin, Feng Liu

ECCV 2016 Joint Face Alignment and 3D Face Reconstruction Feng Liu, Dan Zeng, Qijun Zhao, Xiaoming Liu

CVPR 2016 Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy

CVPR 2015 Casual Stereoscopic Panorama Stitching Fan Zhang, Feng Liu

CVPR 2015 Kernel Fusion for Better Image Deblurring Long Mai, Feng Liu

ECCV 2014 Comparing Salient Object Detection Results Without Ground Truth Long Mai, Feng Liu

CVPR 2014 Depth Enhancement via Low-Rank Matrix Completion Si Lu, Xiaofeng Ren, Feng Liu

CVPR 2014 Parallax-Tolerant Image Stitching Fan Zhang, Feng Liu

ICCV 2013 Joint Subspace Stabilization for Stereoscopic Video Feng Liu, Yuzhen Niu, Hailin Jin

CVPR 2013 Saliency Aggregation: A Data-Driven Approach Long Mai, Yuzhen Niu, Feng Liu

CVPRW 2012 Keystone Correction for Stereoscopic Cinematography Feng Liu, Yuzhen Niu, Hailin Jin

CVPR 2012 Leveraging Stereopsis for Saliency Analysis Yuzhen Niu, Yujie Geng, Xueqing Li, Feng Liu

CVPR 2010 Warp Propagation for Video Resizing Yuzhen Niu, Feng Liu, Xueqing Li, Michael Gleicher

CVPR 2009 Learning Color and Locality Cues for Moving Object Detection and Segmentation Feng Liu, Michael Gleicher

IJCAI 2009 Using Web Photos for Measuring Video Frame Interestingness Feng Liu, Yuzhen Niu, Michael Gleicher

ECCV 2008 Texture-Consistent Shadow Removal Feng Liu, Michael Gleicher