Zhou, Feng

64 publications

ICCV 2025 AU-Blendshape for Fine-Grained Stylized 3D Facial Expression Manipulation Hao Li, Ju Dai, Feng Zhou, Kaida Ning, Lei Li, Junjun Pan
NeurIPS 2025 DanmakuTPPBench: A Multi-Modal Benchmark for Temporal Point Process Modeling and Understanding Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong
CVPR 2025 Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis Feng Zhou, Ruiyang Liu, Chen Liu, Gaofeng He, Yong-Lu Li, Xiaogang Jin, Huamin Wang
CVPR 2025 Human Motion Instruction Tuning Lei Li, Sen Jia, Jianhao Wang, Zhongyu Jiang, Feng Zhou, Ju Dai, Tianfang Zhang, Zongkai Wu, Jenq-Neng Hwang
CVPR 2025 Image Is All You Need to Empower Large-Scale Diffusion Models for In-Domain Generation Pu Cao, Feng Zhou, Lu Yang, Tianrui Huang, Qing Song
ICLR 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
AAAI 2025 Navigating Towards Fairness with Data Selection Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou
NeurIPS 2025 Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation Ting Wei, Biao Mei, Junliang Lyu, Renquan Zhang, Feng Zhou, Yifan Sun
AAAI 2025 Position-Aware Guided Point Cloud Completion with CLIP Model Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing
CVPR 2025 SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images Kaiyu Li, Ruixun Liu, Xiangyong Cao, Xueru Bai, Feng Zhou, Deyu Meng, Zhi Wang
NeurIPS 2025 TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding Shukai Gong, Yiyang Fu, Fengyuan Ran, Quyu Kong, Feng Zhou
CVPR 2025 Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and a Novel Method Pan Yin, Kaiyu Li, Xiangyong Cao, Jing Yao, Lei Liu, Xueru Bai, Feng Zhou, Deyu Meng
CVPR 2025 Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation Hao Li, Ju Dai, Xin Zhao, Feng Zhou, Junjun Pan, Lei Li
ICML 2024 Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke, Haoqun Cao, Feng Zhou
CVPR 2024 Bayesian Exploration of Pre-Trained Models for Low-Shot Image Classification Yibo Miao, Yu Lei, Feng Zhou, Zhijie Deng
TMLR 2024 Calibrating Deep Ensemble Through Functional Variational Inference Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
NeurIPS 2024 Conjugate Bayesian Two-Step Change Point Detection for Hawkes Process Zeyue Zhang, Xiaoling Lu, Feng Zhou
ICML 2024 Deep Equilibrium Models Are Almost Equivalent to Not-so-Deep Explicit Models for High-Dimensional Gaussian Mixtures Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C Qiu, Zhenyu Liao
NeurIPS 2024 Is Score Matching Suitable for Estimating Point Processes? Haoqun Cao, Zizhuo Meng, Tianjun Ke, Feng Zhou
AAAI 2024 Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation Feng Zhou, Jianqin Yin, Peiyang Li
AAAI 2024 Mitigating Label Bias in Machine Learning: Fairness Through Confident Learning Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
NeurIPS 2024 Nonstationary Sparse Spectral Permanental Process Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
AISTATS 2023 Fair Representation Learning with Unreliable Labels Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
MLJ 2023 Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
AAAI 2023 Improving Crowded Object Detection via Copy-Paste Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou
NeurIPS 2023 Integration-Free Training for Spatio-Temporal Multimodal Covariate Deep Kernel Point Processes Yixuan Zhang, Quyu Kong, Feng Zhou
NeurIPS 2023 Revisiting Logistic-SoftMax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
NeurIPS 2022 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng, Feng Zhou, Jun Zhu
JMLR 2022 Efficient Inference for Dynamic Flexible Interactions of Neural Populations Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu
ICLR 2022 Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin
ACML 2021 Bias-Tolerant Fair Classification Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
ICCV 2021 Body-Face Joint Detection via Embedding and Head Hook Junfeng Wan, Jiangfan Deng, Xiaosong Qiu, Feng Zhou
NeurIPS 2021 Continuous-Time Edge Modelling Using Non-Parametric Point Processes Xuhui Fan, Bin Li, Feng Zhou, Scott SIsson
ICLR 2021 Efficient Inference of Flexible Interaction in Spiking-Neuron Networks Feng Zhou, Yixuan Zhang, Jun Zhu
ICCV 2021 Learning Compatible Embeddings Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou
CVPR 2021 MagFace: A Universal Representation for Face Recognition and Quality Assessment Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou
AAAI 2021 Robust Lightweight Facial Expression Recognition Network with Label Distribution Training Zengqun Zhao, Qingshan Liu, Feng Zhou
AAAI 2021 Searching for Alignment in Face Recognition Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei
JMLR 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
NeurIPSW 2020 Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama
AAAI 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi, Zhen Lei
ECCV 2020 Matching Guided Distillation Kaiyu Yue, Jiangfan Deng, Feng Zhou
ECCVW 2020 Visible Feature Guidance for Crowd Pedestrian Detection Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou
ICCVW 2019 A Refined 3D Pose Dataset for Fine-Grained Object Categories Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis
ECCVW 2018 3D Pose Estimation for Fine-Grained Object Categories Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis
NeurIPS 2018 Compact Generalized Non-Local Network Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu
ECCV 2018 Fine-Grained Video Categorization with Redundancy Reduction Attention Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma
ECCV 2018 Multi-Attention Multi-Class Constraint for Fine-Grained Image Recognition Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding
ICCV 2017 Deep Metric Learning with Angular Loss Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin
ICCVW 2017 Dynamic Computational Time for Visual Attention Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu
CVPR 2017 Kernel Pooling for Convolutional Neural Networks Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie
ECCV 2016 Deep Deformation Network for Object Landmark Localization Xiang Yu, Feng Zhou, Manmohan Chandraker
CVPR 2016 Embedding Label Structures for Fine-Grained Feature Representation Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang
CVPR 2016 Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop Yin Cui, Feng Zhou, Yuanqing Lin, Serge Belongie
CVPR 2016 Fine-Grained Image Classification by Exploring Bipartite-Graph Labels Feng Zhou, Yuanqing Lin
ECCV 2014 Spatio-Temporal Matching for Human Detection in Video Feng Zhou, Fernando De la Torre
CVPR 2014 Time-Mapping Using Space-Time Saliency Feng Zhou, Sing Bing Kang, Michael F. Cohen
CVPR 2013 Deformable Graph Matching Feng Zhou, Fernando De la Torre
ICCV 2013 Exemplar-Based Graph Matching for Robust Facial Landmark Localization Feng Zhou, Jonathan Brandt, Zhe Lin
CVPR 2012 Factorized Graph Matching Feng Zhou, Fernando De la Torre
CVPR 2012 Generalized Time Warping for Multi-Modal Alignment of Human Motion Feng Zhou, Fernando De la Torre
ECCV 2012 Unsupervised Temporal Commonality Discovery Wen-Sheng Chu, Feng Zhou, Fernando De la Torre
CVPR 2010 Unsupervised Discovery of Facial Events Feng Zhou, Fernando De la Torre, Jeffrey F. Cohn
NeurIPS 2009 Canonical Time Warping for Alignment of Human Behavior Feng Zhou, Fernando Torre