Song, Yang

126 publications

ICLR 2025 Can a Large Language Model Be a Gaslighter? Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You

JAIR 2025 Computational Machine Ethics: A Survey Tammy Zhong, Yang Song, Raynaldio Limarga, Maurice Pagnucco

ICML 2025 Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model Yuzhong Hong, Hanshan Zhang, Junwei Bao, Hongfei Jiang, Yang Song

AAAI 2025 GRPose: Learning Graph Relations for Human Image Generation with Pose Priors Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang

NeurIPS 2025 GVPO: Group Variance Policy Optimization for Large Language Model Post-Training Kaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Hong Dingqian, Hui Xiong

AAAI 2025 Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu

CVPR 2025 Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song

CVPR 2025 Interpretable Image Classification via Non-Parametric Part Prototype Learning Zhijie Zhu, Lei Fan, Maurice Pagnucco, Yang Song

NeurIPS 2025 LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space Zhangyu Wang, Zeping Liu, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai

CVPR 2025 MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song

ICLR 2025 Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Enyun Yu, Yang Song, Han Li, Kun Gai

ICLR 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen

IJCAI 2025 Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan

CVPR 2025 PEACE: Empowering Geologic mAP Holistic Understanding with MLLMs Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Chen, Lei Cui, Scarlett Li, Furu Wei

AAAI 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models Yuchen Fan, Yuzhong Hong, Qiushi Wang, Junwei Bao, Hongfei Jiang, Yang Song

CVPR 2025 Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation Qingchen Tang, Lei Fan, Maurice Pagnucco, Yang Song

ICLR 2025 Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

ICLR 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ZhongXiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li

ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Enyun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

ICCV 2025 Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Tianyou Song, Maurice Pagnucco, Yang Song

ICLR 2025 Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models Cheng Lu, Yang Song

NeurIPS 2025 Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu, Zihui Wu, Yifan Chen, Yang Song, Yisong Yue

AISTATS 2025 Structure Based SAT Dataset for Analysing GNN Generalisation Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco

AAAI 2025 Trigger3: Refining Query Correction via Adaptive Model Selector Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu

AAAI 2024 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay

AAAI 2024 Decoupled Optimisation for Long-Tailed Visual Recognition Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song

ICLR 2024 Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective Zehao Dou, Yang Song

AAAI 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

AAAI 2024 Enhancing Job Recommendation Through LLM-Based Generative Adversarial Networks Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang

IJCAI 2024 Federated Adaptation for Foundation Model-Based Recommendations Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

IJCAI 2024 Formalisation and Evaluation of Properties for Consequentialist Machine Ethics Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco

NeurIPS 2024 Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products Bethia Sun, Maurice Pagnucco, Yang Song

ICLR 2024 Improved Techniques for Training Consistency Models Yang Song, Prafulla Dhariwal

NeurIPS 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan

AAAI 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

NeurIPS 2024 RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu

NeurIPSW 2024 Structure Based Dataset on SAT Solving with Graph Neural Networks Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco

TMLR 2024 SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang

CVPR 2024 Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-Based Human Image Generation Junyan Wang, Zhenhong Sun, Zhiyu Tan, Xuanbai Chen, Weihua Chen, Hao Li, Cheng Zhang, Yang Song

ICLR 2024 Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay

ICML 2024 Video-LaVIT: Unified Video-Language Pre-Training with Decoupled Visual-Motional Tokenization Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

AAAI 2024 Your Career Path Matters in Person-Job Fit Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan

NeurIPS 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

ICML 2023 Consistency Models Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever

NeurIPSW 2023 Coupling Graph Neural Networks with Non-Integer Order Dynamics: A Robustness Study Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay

IJCAI 2023 Graph Neural Convection-Diffusion with Heterophily Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

CVPR 2023 HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay

ICLR 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song

ICML 2023 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay

CoLLAs 2023 Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior Based Approach Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song

AISTATS 2022 Density Ratio Estimation via Infinitesimal Classification Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon

ICLR 2022 GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang

CVPR 2022 GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song

CVPR 2022 Graph-Based Spatial Transformer with Memory Replay for Multi-Future Pedestrian Trajectory Prediction Lihuan Li, Maurice Pagnucco, Yang Song

CVPRW 2022 Multi-Modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov

NeurIPS 2022 On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay

ICLR 2022 SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

ICLR 2022 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

ICML 2021 Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon

ICLR 2021 Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon

NeurIPS 2021 CSDI: Conditional Score-Based Diffusion Models for Probabilistic Time Series Imputation Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon

CVPRW 2021 Edge Guided Progressively Generative Image Outpainting Han Lin, Maurice Pagnucco, Yang Song

AAAI 2021 Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks Yang Song, Qiyu Kang, Wee Peng Tay

NeurIPS 2021 Estimating High Order Gradients of the Data Distribution by Denoising Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon

CVPR 2021 Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai

NeurIPS 2021 Imitation with Neural Density Models Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon

ICLR 2021 Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon

ICLR 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P Kingma

NeurIPS 2021 Maximum Likelihood Training of Score-Based Diffusion Models Yang Song, Conor Durkan, Iain Murray, Stefano Ermon

CVPRW 2021 Perceptual Image Compression Using Relativistic Average Least Squares GANs Zhengxue Cheng, Ting Fu, Jiapeng Hu, Li Guo, Shihao Wang, Xiongxin Zhao, Dajiang Zhou, Yang Song

NeurIPS 2021 Pseudo-Spherical Contrastive Divergence Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon

NeurIPSW 2021 Score-Based Generative Classifiers Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin Adric Dunn, David A. Klindt

ICLR 2021 Score-Based Generative Modeling Through Stochastic Differential Equations Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

NeurIPSW 2021 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

NeurIPS 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay

ICCV 2021 Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai

NeurIPS 2020 Autoregressive Score Matching Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2020 Diversity Can Be Transferred: Output Diversification for White- and Black-Box Attacks Yusuke Tashiro, Yang Song, Stefano Ermon

NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

AISTATS 2020 Gaussianization Flows Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2020 Improved Techniques for Training Score-Based Generative Models Yang Song, Stefano Ermon

ECCV 2020 Improving 3D Object Detection Through Progressive Population Based Augmentation Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov

AISTATS 2020 Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon

AAAI 2020 Shape-Oriented Convolution Neural Network for Point Cloud Analysis Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai

ICML 2020 Training Deep Energy-Based Models with F-Divergence Minimization Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2019 Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K. Duvenaud, Raquel Urtasun, Richard Zemel

NeurIPS 2019 Generative Modeling by Estimating Gradients of the Data Distribution Yang Song, Stefano Ermon

ICCVW 2019 Geo-Aware Networks for Fine-Grained Recognition Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam

NeurIPS 2019 MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song, Chenlin Meng, Stefano Ermon

CVPRW 2019 Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai

IJCAI 2019 Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai

UAI 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon

IJCAI 2019 Talking Face Generation by Conditional Recurrent Adversarial Network Yang Song, Jingwen Zhu, Dawei Li, Andy Wang, Hairong Qi

ICML 2018 Accelerating Natural Gradient with Higher-Order Invariance Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2018 Constructing Unrestricted Adversarial Examples with Generative Models Yang Song, Rui Shu, Nate Kushman, Stefano Ermon

WACV 2018 Decoupled Learning for Conditional Adversarial Networks Zhifei Zhang, Yang Song, Hairong Qi

CVPRW 2018 Large Kernel Refine Fusion Net for Neuron Membrane Segmentation Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai

ICLR 2018 PixelDefend: Leveraging Generative Models to Understand and Defend Against Adversarial Examples Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

AAAI 2018 R-BTN: Cross-Domain Face Composite and Synthesis from Limited Facial Patches Yang Song, Zhifei Zhang, Hairong Qi

CVPR 2017 Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang, Yang Song, Hairong Qi

ICCVW 2017 Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing Zihao Tang, Donghao Zhang, Siqi Liu, Yang Song, Hanchuan Peng, Weidong Cai

ICCVW 2017 Learning Unified Embedding for Apparel Recognition Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam

ICCV 2017 Locally-Transferred Fisher Vectors for Texture Classification Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai

CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

AAAI 2016 Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization Yang Song, Jun Zhu

AAAI 2016 Exploring Multiple Feature Spaces for Novel Entity Discovery Zhaohui Wu, Yang Song, C. Lee Giles

ECCV 2016 Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai

ECCVW 2016 Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai

CVPR 2016 Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

NeurIPS 2016 Kernel Bayesian Inference with Posterior Regularization Yang Song, Jun Zhu, Yong Ren

NeurIPS 2016 Stochastic Gradient Geodesic MCMC Methods Chang Liu, Jun Zhu, Yang Song

ICML 2016 Training Deep Neural Networks via Direct Loss Minimization Yang Song, Alexander Schwing, Richard, Raquel Urtasun

CVPR 2015 Fusing Subcategory Probabilities for Texture Classification Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang

CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Charles Rosenberg, Li Fei-Fei

CVPR 2014 Learning Fine-Grained Image Similarity with Deep Ranking Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu

CVPRW 2012 Object Localization in Medical Images Based on Graphical Model with Contrast and Interest-Region Terms Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng

ICCV 2011 Handling Label Noise in Video Classification via Multiple Instance Learning Thomas Leung, Yang Song, John Zhang

CVPR 2010 Taxonomic Classification for Web-Based Videos Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu

CVPR 2010 YouTubeCat: Learning to Categorize Wild Web Videos Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li

CVPR 2009 Tour the World: Building a Web-Scale Landmark Recognition Engine Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven

ECCV 2006 Context-Aided Human Recognition - Clustering Yang Song, Thomas Leung

CVPR 2001 Learning Probabilistic Structure for Human Motion Detection Yang Song, Luis Goncalves, Pietro Perona

NeurIPS 2001 Unsupervised Learning of Human Motion Models Yang Song, Luis Goncalves, Pietro Perona

ECCV 2000 Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion Yang Song, Luis Goncalves, Pietro Perona

CVPR 2000 Towards Detection of Human Motion Yang Song, Xiaolin Feng, Pietro Perona

ICCV 1999 Monocular Perception of Biological Motion - Detection and Labeling Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona