2024

• Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan and Lijuan Wang, “Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation”, in Proc. Adv. Neural Inform. Process. Syst (NeurIPS), 2024 [PDF] [Project]
• Zixin Zhu, Xuelu Feng, Dongdong Chen, Junsong Yuan, Chunming Qiao, and Gang Hua, “Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF]
• Yuanhao Zhai, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David Doermann, Junsong Yuan, Zicheng Liu, and Lijuan Wang, “IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF] [Project]
• Tianyu Luan, Zhongpai Gao, Luyuan Xie, Abhishek Sharma, Hao Ding, Benjamin Planche, Meng Zheng, Ange Lou, Terrence Chen, Junsong Yuan, and Ziyan Wu, “Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF]
• Sudhir Yarram and Junsong Yuan, “Forecasting Future Videos from Novel View via Disentangled 3D Scene Representation”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF] [Project]
• Yisong Wang*, Nan Xi*†, Jingjing Meng, and Junsong Yuan (* equal contribution, † corresponding author), “Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF]
• Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, and Lijuan Wang, “GRiT: A Generative Region-to-text Transformer for Object Understanding”, in Proc. European Conf. on Computer Vision (ECCV), 2024 [PDF]
• Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan, “Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation”, in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 [PDF]
• Xianzu Wu, Xianfeng Wu, Tianyu Luan, Yajing Bai, Zhongyuan Lai, and Junsong Yuan, “FSC: Few-point Shape Completion”, in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 [PDF]
• Zachary Steever, Kyle Hunt, Mark Karwan, Junsong Yuan, Chase C. Murray, “A Graph-Based Approach for Relating Integer Programs”, in INFORMS Journal on Computing (JOC), 2024 [PDF]
• Jiaxu Zhang, Zhigang Tu, Junwu Weng, Junsong Yuan, Bo Du, “A Modular Neural Motion Retargeting System Decoupling Skeleton and Shape Perception”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024 [PDF]
• Jiaxin Li, Hongxing Wang, Jiawei Tan, Junsong Yuan, “Shared Latent Membership Enables Joint Shape Abstraction and Segmentation With Deformable Superquadrics”, IEEE Trans. on Image Processing (T-IP), 2024 [PDF]

2023

• Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu, “NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023 (Oral) [PDF]
• Yuanhao Zhai, Tianyu Luan, David Doermann, Junsong Yuan, “Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023 [PDF]
• Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, Gang Hua, “SOAR: Scene-debiasing Open-set Action Recognition”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023 [PDF]
• Nan Xi, Jingjing Meng, Junsong Yuan, “Open Set Video HOI detection from Action-centric Chain-of-Look Prompting”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023 [PDF]
• Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong, “Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023 [PDF]
• Liangchen Song, Xuan Gong, Helong Zhou, Jiajie Chen, Qian Zhang, David Doermann, Junsong Yuan, “Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF]
• Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao, “RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF] [Demo]
• Nan Xi, Jingjing Meng, Junsong Yuan, “Chain-of-Look Prompting for Verb-centric Surgical Triplet Recognition in Endoscopic Videos”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF]
• Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David Doermann, Junsong Yuan, “Language-guided Human Motion Synthesis with Atomic Actions”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF] [Code]
• Sidharth Anand, Naresh Kumar Devulapally, Sreyasee Das Bhattacharjee, Junsong Yuan, “Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF]
• Zhong Li, Liangchen Song, Zhang Chen, Xiangyu Du, Lele Chen, Qian Zhang, Junsong Yuan, Yi Xu, “Relit-NeuLF: Efficient Relighting and Novel View Synthesis via Neural 4D Light Field”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2023 [PDF]
• Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding, “Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning”, in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 [PDF]
• Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David Doermann, and Ziyan Wu, “Progressive Multi-view Human Mesh Recovery with Self-Supervision”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2023 (Oral) [PDF]
• Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, and Zicheng Liu, “Neural Voting Field for Camera-Space 3D Hand Pose Estimation”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023 [PDF] [Project]
• Tianyu Luan, Yuanhao Zhai, Jingjing Meng, Zhong Li, Zhang Chen, Yi Xu, and Junsong Yuan, “High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023 [PDF]
• Libing Zeng, Lele Chen, Wentao Bao, Zhong Li, Yi Xu, Junsong Yuan, and Nima K. Kalantari, “3D-aware Facial Landmark Detection via Multi-view Consistent Training on Synthetic Data”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023 [PDF]
• Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David Doermann, Junsong Yuan, and Gang Hua, “Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 [PDF]
• Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan, “Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 [PDF]
• Zhigang Tu, Yuanzhong Liu, Yan Zhang, Qizi Mu, Junsong Yuan, “DTCM: Joint Optimization of Dark Enhancement and Action Recognition in Videos”, in IEEE Trans. Image Process (TIP), 2023 [PDF]
• Wenzheng Zeng, Yang Xiao, Guilei Hu, Zhiguo Cao, Sicheng Wei, Zhiwen Fang, Joey Tianyi Zhou, Junsong Yuan, “Eyelid's Intrinsic Motion-Aware Feature Learning for Real-Time Eyeblink Detection in the Wild”, in IEEE Trans. Inf. Forensics Secur, 2023 [PDF]
• Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu, “Federated Learning With Privacy-Preserving Ensemble Attention Distillation”, in IEEE Trans. Medical Imaging (TMI), 2023 [PDF]
• Jiyang Li, Lin Huang, Siddharth Shah, Sean J. Jones, Yincheng Jin, Dingran Wang, Adam Russell, Seokmin Choi, Yang Gao, Junsong Yuan, Zhanpeng Jin, “SignRing: Continuous American Sign Language Recognition Using IMU Rings and Virtual IMU Data”, in Proc. ACM Interact. Mob. Wearable Ubiquitous Technol (IMWUT), 2023 [PDF]
• Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger, “NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 [PDF]

2022

• Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, and Ziyan Wu, “PREF: Predictability Regularized Neural Motion Fields”, in Proc. European Conf. on Computer Vision (ECCV), 2022 (Oral) [PDF]
• Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, and Robert Wang, “Neural Correspondence Field for Object Pose Estimation”, in Proc. European Conf. on Computer Vision (ECCV), 2022 [PDF] [Code]
• Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, and Junsong Yuan, “AiATrack: Attention in Attention for Transformer Visual Tracking”, in Proc. European Conf. on Computer Vision (ECCV), 2022 [PDF] [Code]
• Jialian Wu, Sudhir Yarram, Hui Liang, Tian Lan, Junsong Yuan, Jayan Eledath, and Gerard Medioni, “Efficient Video Instance Segmentation via Tracklet Query and Proposal”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022 [PDF] [Project]
• Suchen Wang, Yueqi Duan, Henghui Ding, Yap-Peng Tan, Kim-Hui Yap, Junsong Yuan, “Learning Transferable Human-Object Interaction Detector with Natural Language Supervision”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022 [PDF]
• Jinlu Zhang, Zhigang Tu, Jianyu Yang, Yujin Chen, and Junsong Yuan, “MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022 [PDF]
• Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, and Zicheng Liu, “OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2022 [PDF]
• Xuan Gong, et. al., “Federated Learning with Privacy-Preserving Ensemble Attention Distillation”, in IEEE Transactions on Medical Imaging (TMI), 2022 [PDF]
• Zhiwen Fang, Zhiguo Cao, Yang Xiao, Kaicheng Gong, and Junsong Yuan, “MAT: Multianchor Visual Tracking With Selective Search Region”, in IEEE Trans. on Cybernetics (T-CYB), 2022 [PDF]
• Yuanzhong Liu, Junsong Yuan, and Zhigang Tu, “Motion-Driven Visual Tempo Learning for Video-Based Action Recognition”, in IEEE Trans. on Image Processing (TIP), 2022 [PDF]
• Jialian Wu, Liangchen Song, Qian Zhang, Ming Yang, and Junsong Yuan, “ForestDet: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation”, in IEEE Trans. on Multimedia (TMM), 2022 [PDF] [Code]
• Jun Wen, Junsong Yuan, Qian Zheng, Risheng Liu, Zhefeng Gong, and Nenggan Zheng, “Hierarchical domain adaptation with local feature patterns”, in Pattern Recognition (PR), 2022 [PDF]
• Yunpeng Chang, Zhigang Tu, Wei Xie, Bin Luo, Shifu Zhang, Haigang Sui, and Junsong Yuan, “Video anomaly detection with spatio-temporal dissociation”, in Pattern Recognition (PR), 2022 [PDF]

2021

• Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, and Junsong Yuan, “Stacked Homography Transformations for Multi-View Pedestrian Detection”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2021 (Oral) [PDF]
• Yujun Cai, et. al., “A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2021 [PDF] [Supplementary]
• Suchen Wang, Kim-Hui Yap, Henghui Ding, Jiyan Wu, Junsong Yuan, and Yap-Peng Tan, “Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2021 [PDF]
• Bing Li, et. al., “High Quality Disparity Remapping with Two-Stage Warping”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2021 [PDF]
• Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, and Junsong Yuan, “Handling Difficult Labels for Multi-label Image Classification via Uncertainty Distillation”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2021 [PDF]
• Liangchen Song, Sheng Liu, Celong Liu, Zhong Li, Yuqi Ding, Yi Xu, and Junsong Yuan, “Learning Kinematic Formulas from Multiple View Videos”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2021 [PDF]
• Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, and Junsong Yuan, “Track to Detect and Segment: An Online Multi-Object Tracker”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF] [Project] [Code]
• Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, and Junsong Yuan, “Model-based 3D Hand Reconstruction via Self-Supervised Learning”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF]
• Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, and Qian Zhang, “Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective”, in Proc. International Conf. on Learning Representations (ICLR), 2021 [PDF]
• Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, and Junsong Yuan, “Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint”, in Proc. ACM SIGMETRICS, 2021 [PDF]
• Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, and Junsong Yuan, “Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2021 [PDF]
• Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, “Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Contexts”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2021 [PDF]
• Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, “ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2021 [PDF]
• Tan Yu, Jingjing Meng, Ming Yang, and Junsong Yuan, “3D Object Representation Learning: A Set-to-Set Matching Perspective”, IEEE Trans. on Image Processing (TIP), 2021 [PDF]
• Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, and Junsong Yuan, “Image Co-skeletonization via Co-segmentation”, IEEE Trans. on Image Processing (TIP), 2021 [PDF]
• Yujin Chen, Zhigang Tu, Di Kang, Ruizhi Chen, Linchao Bao, Zhengyou Zhang, and Junsong Yuan, “Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion”, IEEE Trans. on Image Processing (TIP), 2021 [PDF]
• Yujun Cai, Liuhao Ge, Jianfei Cai, Nadia Magnenat Thalmann, and Junsong Yuan, “3D Hand Pose Estimation Using Synthetic Data and Weakly Labeled RGB Images”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 [PDF]
• Sheng Liu, Zhou Ren, and Junsong Yuan, “SibNet: Sibling Convolutional Encoder for Video Captioning”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 [PDF]

2020

• Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, and Junsong Yuan, “HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2020 [PDF]
• Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, and Junsong Yuan, “Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2020 [PDF] [Code]
• Jialian Wu, Chunluan Zhou, Qian Zhang, Ming Yang, and Junsong Yuan, “Self-Mimic Learning for Small-scale Pedestrian Detection”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2020 [PDF] [Supplementary]
• Ye Liu, Junsong Yuan, and Chang Wen Chen, “ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2020 [PDF]
• Xinke Li, et. al., “Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene”, in Proc. ACM International Conf. on Multimedia (ACM MM), 2020 [PDF] [Supplementary]
• Yuanhao Zhai, et. al., “Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization”, in Proc. European Conf. on Computer Vision (ECCV), 2020 (Spotlight) [PDF]
• Lin Huang, Jianchao Tan, Ji Liu, and Junsong Yuan, “Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Yujun Cai, et. al., “Learning Progressive Joint Propagation for Human Motion Prediction”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, and Changyou Chen, “Structure-Aware Human-Action Generation”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Yunpeng Chang, Zhigang Tu, Wei Xie, and Junsong Yuan, “Clustering Driven Deep Autoencoder for Video Anomaly Detection”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Junwu Weng, et. al., “Temporal Distinct Representation Learning for Action Recognition”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Anil Armagan, et. al., “Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction”, in Proc. European Conf. on Computer Vision (ECCV), 2020 [PDF]
• Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, and Junsong Yuan, “Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF]
• Suchen Wang, Kim-Hui Yap, Junsong Yuan, and Yap-Peng Tan, “Discovering Human Interactions with Novel Objects via Zero-Shot Learning”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF]
• Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, and Junsong Yuan, “3DV: 3D Dynamic Voxel for Action Recognition in Depth Video”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF]
• Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, and Changyou Chen, “Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2020 [PDF]
• Weixiang Hong, Xueyan Tang, Jingjing Meng, and Junsong Yuan, “Asymmetric Mapping Quantization for Nearest Neighbor Search”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2020 [PDF]
• Tan Yu, Jingjing Meng, Chen Fang, Hailin Jin, and Junsong Yuan, “Product Quantization Network for Fast Visual Search”, International Journal on Computer Vision (IJCV), 2020 [PDF]
• Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, and Junsong Yuan, “Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering”, IEEE Trans. on Image Processing (TIP), 2020 [PDF]
• Bin Jiang, Wenxuan Tu, Chao Yang, and Junsong Yuan, “Context-Integrated and Feature-Refined Network for Lightweight Object Parsing”, IEEE Trans. on Image Processing (TIP), 2020 [PDF]
• Guilei Hu, Yang Xiao, Zhiguo Cao, Lubin Meng, Zhiwen Fang, Joey Tianyi Zhou, and Junsong Yuan, “Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices”, IEEE Trans. on Information Forensics and Security (TIFS), 2020 [PDF]

2019

• Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, and Junsong Yuan, “A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image ”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 [PDF]
• Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, and Junsong Yuan, “Temporal Structure Mining for Weakly Supervised Action Detection”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 [PDF]
• Chunluan Zhou, Ming Yang, and Junsong Yuan, “Discriminative Feature Transformation for Occluded Pedestrian Detection”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 [PDF]
• Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, and Kui Ren, “PointCloud Saliency Maps”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 (Oral) [PDF]
• Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann, “Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 [PDF] [Code]
• Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, and Junsong Yuan, “SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning”, in Proc. IEEE International Conference on Computer Vision (ICCV), 2019 [PDF]
• Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan, “Kervolutional Neural Networks”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral) [PDF]
• Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan, “3D Hand Shape and Pose Estimation from a Single RGB Image”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral) [PDF] [Dataset]
• Suchen Wang, Jingjing Meng, Junsong Yuan, Yap-Peng Tan, “Joint Representative Selection and Feature Learning: A Semi-Supervised Approach”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF]
• Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, and Dacheng Tao, “SPAGAN: Shortest Path Graph Attention Network”, in Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2019 [PDF]
• Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, and Changyou Chen, “Bayesian Uncertainty Matching for Unsupervised Domain Adaptation”, in Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2019 [PDF]
• Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, and Junsong Yuan, “Exploiting Local Feature Patterns for Unsupervised Domain Adaptation”, in Proc. AAAI Conf. on Artificial Intelligence (AAAI'19), 2019 (Oral) [PDF]
• Qinyi Wang, Yexin Zhang, Junsng Yuan, and Yilong Lu, “Space-time Event Clouds for Gesture Recognition: from RGB Cameras to Event Cameras”, in Proc. IEEE Winter Conf. on Applications and Computer Vision (WACV'19), 2019 (Oral) [PDF]
• Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann, “Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks”, in IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 [PDF]
• Chunluan Zhou and Junsng Yuan, “Multi-label learning of part detectors for occluded pedestrian detection”, in Pattern Recognition (PR), 2019 [PDF]
• Zhi Gao, Yuwei Wu, Xingyuan Bu, Tan Yu, Junsong Yuan, and Yunde Jia, “Learning a robust representation via a deep network on symmetric positive definite manifolds”, in Pattern Recognition (PR), 2019 [PDF]
• Hui Liang, Junsong Yuan, Jun Lee, Liuhao Ge, Daniel Thalmann, “Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures”, in IEEE Trans. on Cybernetics (T-CYB), 2019 [PDF]
• Junwu Weng, Chaoqun Weng, Junsong Yuan, and Zicheng Liu, “Discriminative Spatio-Temporal Pattern Discovery for 3D Action Recognition”, in IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 2019 [PDF]
• Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, and Junsong Yuan, “Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition”, in IEEE Trans. on Image Processing (TIP), 2019 [PDF]

2018

• Sheng Liu, Zhou Ren, and Junsong Yuan, “SibNet: Sibling Convolutional Encoder for Video Captioning”, in Proc. ACM International Conf. on Multimedia (ACM MM’18), 2018 (Oral) [PDF]
• Yujun Cai, Liuhao Ge, Jianfei Cai, and Junsong Yuan, “Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images”, in Proc. European Conf. on Computer Vision (ECCV’18), 2018 (Oral) [PDF]
• Liuhao Ge, Zhou Ren, and Junsong Yuan, “Point-to-Point Regression PointNet for 3D Hand Pose Estimation”, in Proc. European Conf. on Computer Vision (ECCV’18), 2018 [ PDF]
• Tan Yu, Junsong Yuan, Chen Fang, and Hailin Jin, “Product Quantization Network for Fast Image Retrieval”, in Proc. European Conf. on Computer Vision (ECCV’18), 2018 [PDF]
• Junwu Weng, Mengyuan Liu, Xudong Jiang, and Junsong Yuan, “Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition”, in Proc. European Conf. on Computer Vision (ECCV’18), 2018 [PDF]
• Chunluan Zhou and Junsong Yuan, “Bi-box Regression for Pedestrian Detection and Occlusion Estimation”, in Proc. European Conf. on Computer Vision (ECCV’18), 2018 [PDF]
• Tan Yu, Jingjing Meng, and Junsong Yuan, “Multi-view Harmonized Bilinear Network for 3D Object Recognition”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight) [PDF]
• Liuhao Ge, Junwu Weng, Yujun Cai, Junsong Yuan, “Hand PointNet: 3D Hand Pose Estimation using Point Sets”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight) [PDF]
• Mengyuan Liu and Junsong Yuan, “Recognizing Human Actions as Evolution of Pose Estimation Maps”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF]
• Weixiang Hong, Zhenzhen Wang, Ming Yang, and Junsong Yuan, “Conditional Generative Adversarial Network for Structured Domain Adaptation”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF]
• Shizheng Wang, Wenjuan Liao, Phil Surman, Zhigang Tu, Yuanjin Zheng and Junsong Yuan, “Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
• Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Tae-Kyun Kim, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, “3D Hand Pose Estimation: From Current Achievements to Future Goals”, in in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF]
• Chen Wang, Le Zhang, Lihua Xie, and Junsong Yuan, “Kernel Cross-Correlator”, in Proc. AAAI Conference on Artificial Intelligence (AAAI'18), 2018 [PDF]
• Weixiang Hong, Jingjing Meng, and Junsong Yuan, “Tensorized Projection for High-Dimensional Binary Embedding”, in Proc. AAAI Conference on Artificial Intelligence (AAAI'18), 2018 [PDF]
• Weixiang Hong, Jingjing Meng, Junsong Yuan, and Xueyan Tang, “Distributed Composite Quantization”, in Proc. AAAI Conference on Artificial Intelligence (AAAI'18), 2018 [PDF]
• Jing Tang, Xueyan Tang, Xiaokui Xiao, and Junsong Yuan, “Online Processing Algorithms for influence Maximization”, in Proc. of the ACM SIGMOD International Conference on Management of Data (SIGMOD’18), 2018 [PDF]
• Jing Tang, Xueyan Tan, and Junsong Yuan, “Towards Profit Maximization for Online Social Network Providers”, in Proc. IEEE Conf. on Computer Communications (INFOCOM'18,), 2018 [PDF]
• Jingjing Meng, Suchen Wang, Hongxing Wang, Junsong Yuan, and Yap-Peng Tan, “Video Summarization Via Multiview Representative Selection”, in IEEE Trans. on Image Processing (TIP), 2018 [PDF]
• Zhenzhen Wang, and Junsong Yuan, “Simultaneously Discovering and Localizing Common Objects in Wild Images”, in IEEE Trans. on Image Processing (TIP), 2018 [PDF]
• Weixiang Hong, and Junsong Yuan, “Fried Binary Embedding: From High-Dimensional Visual Features to High-Dimensional Binary Codes”, in IEEE Trans. on Image Processing (TIP), 2018 [PDF]
• Ling-Yu Duan, Yuwei Wu, Yicheng Huang, Zhe Wang, Junsong Yuan, and Wen Gao, “Minimizing Reconstruction Bias Hashing via Joint Projection Learning and Quantization”, in IEEE Trans. on Image Processing (TIP), 2018 [PDF]
• Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann, “Robust 3D Hand Pose Estimation From Single Depth Images Using Multi-View CNNs”, in IEEE Trans. on Image Processing (TIP), 2018 [PDF]
• Jing Tang, Xueyan Tang, and Junsong Yuan, “Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis”, in IEEE Trans. on Knowledge and Data Engineering (TKDE), 2018 [PDF]

2017

• Chunluan Zhou, and Junsong Yuan, “Multi­label Learning of Part Detectors for Heavily Occluded Pedestrian Detection”, in Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017 [PDF]
• Jiong Yang, and Junsong Yuan, “Common Action Discovery and Localization in Unconstrained Videos”, in Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017 [PDF]
• Tan Yu, Zhenzhen Wang, and Junsong Yuan, “Compressive Quantization for Fast Object Instance Search in Videos”, in Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017 [PDF]
• Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann, “3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017 [PDF]
• Tan Yu, Yuwei Wu, and Junsong Yuan, “HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017 [PDF]
• Weixiang Hong, Junsong Yuan, and Das Bhattacharjee Sreyasee, “Fried Binary Embedding for High-Dimensional Visual Features”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017 [PDF]
• Junwu Weng, Chaoqun Weng, and Junsong Yuan, “Spatio-Temporal Naive-Bayes Nearest-Neighbor for Skeleton-Based Action Recognition”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017 [PDF]
• Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, and Junsong Yuan, “Object Co-skeletonization with Co-segmentation”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017 [PDF]
• Tan Yu, Yuwei Wu, Das Bhattacharjee Sreyasee, and Junsong Yuan, “Efficient Object Instance Search Using Fuzzy Object Matching”, in Proc. AAAI Conference on Artificial Intelligence (AAAI'17), 2017 [PDF]
• Tan Yu, Jingjing Meng, and Junsong Yuan, “Is My Object in This Video? Reconstruction-based Object Search in Video”, in Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017 [PDF]
• Jiaqi Zhang, Zhenzhen Wang, Junsong Yuan, and Yap-Peng Tan, “Positive and Unlabeled (PU) Learning for Anomaly Detection with Multi-features”, in Proc. ACM International Conf. on Multimedia (MM’17), 2017 (full paper)
• Chen Wang, Junsong Yuan, and Lihua Xie, “Non-Iterative SLAM”, in Proc. International Conference on Advanced Robotics (ICAR'17), 2017 [PDF] (best paper award)
• Hongxing Wang, Yoshinobu Kawahara, Chaoqun Weng, Junsong Yuan, “Representative Selection with Structured Sparsity”, in Pattern Recognition (PR), 2017 [PDF]

2016

• Jingjing Meng, Hongxing Wang, Junsong Yuan, Yap-Peng Tan, “From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016 [PDF]
• Liuhao Ge, Hui Liang and Junsong Yuan, Daniel Thalmann, “Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016 [PDF]
• Jerripothula Koteswar, Jianfei Cai, and Junsong Yuan, “CATS: Co-saliency Activated Tracklet Selection for Video Co-localization”, in Proc. European Conf. on Computer Vision (ECCV’16), 2016 [PDF]
• Zhe Wang, Lingyu Duan, Junsong Yuan, Tiejun Huang, Wen Gao, “To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes”, in Proc. International Joint Conference on Artificial Intelligence (IJCAI’16), 2016 [PDF]
• Das Bhattacharjee Sreyasee, Junsong Yuan, Weixiang Hong, and Xiang Ruan, “Query Adaptive Instance Search using Object Sketches”, in Proc. ACM International Conf. on Multimedia (ACM MM’16), 2016 (full paper) [PDF]
• Hui Liang, Jin Wangy, Qian Sun, Yong-Jin Liu, Junsong Yuan, Jun Luo, Ying He, “Barehanded Music: Real-time Hand Interaction for Virtual Piano”, in Proc. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D’16), 2016 [PDF] [Demo Video]
• Jiong Yang, Brian Price, Xiaohui Shen, Zhe Lin, Junsong Yuan, “Fast appearance modeling for automatic primary video object segmentation”, in IEEE Transactions on Image Processing (T-IP), 2016 [PDF]
• Zhiwen Fang, Zhiguo Cao, Yang Xiao, Lei Zhu, Junsong Yuan, “Adobe Boxes: Locating Object Proposals using Object Adobes”, in IEEE Transactions on Image Processing (T-IP), 2016 [PDF]
• Jianyu Yang, Hongxing Wang, Junsong Yuan, Youfu Li, Jianyang Liu, “Invariant Multi-Scale Descriptor for Shape Representation, Matching and Retrieval”, in Computer Vision and Image Understanding (CVIU), 2016 [PDF]
• Jiong Yang, Gangqiang Zhao, Junsong Yuan, Xiaohui Shen, Zhe Lin, Brian Price, Jonathan Brandt, “Discovering Primary Objects in Videos by Saliency Fusion and Iterative Appearance Estimation”, in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2016 [PDF] [Project]

2015

• Kang Dang, Jiong Yang, and Junsong Yuan, “Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps”, in Proc. IEEE International Conference on Computer Vision (ICCV’15), 2015 [PDF]
• Gang Yu and Junsong Yuan, “Fast Action Proposals for Human Action Detection and Search”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015 [PDF]
• Jing Tang, Xueyan Tang, Junsong Yuan, “Optimizing Inter-server Communication for Online Social Networks”, in Proc. IEEE Conf. on International Conference on Distributed Computing Systems (ICDCS’15), 2015 [PDF]
• Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang, and Junsong Yuan, “Manifold kernel Sparse Representation of Symmetric Positive Definite Matrices and Its Applications”, in IEEE Transactions on Image Processing (T-IP), 2015 [PDF]
• Yuwei Wu, Mingtao Pei, Min Yang, Junsong Yuan, and Yunde Jia, “Robust Discriminative Tracking via Landmark-based Label Propagation”, in IEEE Transactions on Image Processing (T-IP), 2015 [PDF]
• Jianfeng Ren, Xudong Jiang, and Junsong Yuan, “A Chi-Squared-Transformed Subspace of LBP Histogram for Visual Recognition”, in IEEE Transactions on Image Processing (T-IP), 2015 [PDF]
• Yuning Jiang, Jingjing Meng, Junsong Yuan, and Jiebo Luo, “Randomized Spatial Context for Object Search”, in IEEE Transactions on Image Processing (T-IP), 2015 [PDF] [Demo Video]
• Gangqiang Zhao, Junsong Yuan, Gang Hua, and Jiong Yang, “Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior”, in IEEE Transactions on Image Processing (T-IP), 2015 [PDF]
• Jianfeng Ren, Xudong Jiang, and Junsong Yuan, “Learning LBP Structure by Maximizing the Conditional Mutual Information”, in Pattern Recognition (PR), 2015 [PDF]
• Hongxing Wang and Junsong Yuan, “Collaborative Multi-feature Fusion for Transductive Spectral Learning”, in IEEE Transactions on Cybernetics (T-CYB), 2015 [PDF]
• Hui Liang, Junsong Yuan, and Daniel Thalmann, “Resolving Ambiguous Hand Pose Predictions by Exploiting Part Correlations”, in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2015 [PDF] [Project]

2014

• Hongxing Wang, Chaoqun Weng, and Junsong Yuan, “Multi-feature Spectral Clustering with Minimax Optimization”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’14), 2014 [PDF]
• Gang Yu, Zicheng Liu, and Junsong Yuan, “Discriminative Orderlet Mining For Real-time Recognition of Human-Object Interaction”, in Proc. Asian Conf. on Computer Vision (ACCV’14), 2014 [Project]
• Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan, “Learning Actionlet Ensemble for 3D Human Action Recognition”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014 [PDF]
• Tran Du, Junsong Yuan, and David Forsyth, “Video event detection: from video subvolume localization to spatio-temporal path search”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014 [PDF]
• Hongxing Wang, Junsong Yuan, and Ying Wu, “Context-Aware Discovery of Visual Co-occurrence Patterns”, in IEEE Transactions on Image Processing (T-IP), 2014 [PDF]
• Yang Xiao, Jianxin Wu, and Junsong Yuan, “mCENTRIST: A Multi-channel Feature Generation Mechanism for Scene Categorization”, in IEEE Transactions on Image Processing (T-IP), 2014

2013

• Gangqiang Zhao, Junsong Yuan, and Gang Hua, “Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013 [PDF]
• Zhou Ren, Junsong Yuan, and Wenyu Liu, “Minimum Near-Convex Shape Decomposition”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2013 [PDF]
• Gang Yu, Junsong Yuan, and Zicheng Liu, “Action Search by Example using Randomized Visual Vocabularies”, in IEEE Transactions on Image Processing (T-IP), 2013 [PDF]
• Jianfeng Ren, Xudong Jiang, and Junsong Yuan, “Noise-Resistant Local Binary Pattern with an Embedded Error-Correction Mechanism”, in IEEE Transactions on Image Processing (T-IP), 2013 [PDF]
• Yang Cong, Ji Liu, Junsong Yuan, and Jiebo Luo, “Abnormal Event Detection in Crowded Scenes using Sparse Representation”, in IEEE Transactions on Image Processing (T-IP), 2013 [PDF]
• Yang Cong, Junsong Yuan, and Ji Liu, “Self-supervised Online Metric Learning with Low Rank Constraint for Scene Categorization”, in Pattern Recognition (PR), 2013 [PDF]
• Jianfeng Ren, Xudong Jiang, and Junsong Yuan, “A Complete and Fully Automated Face Verification System on Mobile Devices”, in Pattern Recognition (PR), 2013 [PDF]
• Zhou Ren, Junsong Yuan, Jingjing Meng and Zhengyou Zhang, “Robust Part-based Hand Gesture Recognition using Kinect Sensor”, in IEEE Transactions on Multimedia (T-MM), 2013 (2016 Best Paper Award of IEEE Transactions on Multimedia) [PDF] [Project]

2012

• Tran Du and Junsong Yuan, “Max-Margin Structured Output Regression for Spatio-Temporal Action Localization”, in Proc. Advances in Neural Information Processing Systems (NIPS’12), 2012 [PDF]
• Yuning Jiang, Jingjing Meng, and Junsong Yuan, “Randomized Visual Phrases for Object Search”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012 [PDF]
• Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan, “Mining Actionlet Ensemble for Action Recognition with Depth Cameras”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012 [PDF]
• Yuning Jiang, Junsong Yuan, and Gang Yu, “Randomized Spatial Partition for Scene Recognition”, in Proc. European Conference on Computer Vision (ECCV’12), 2012 [PDF]
• Gang Yu, Junsong Yuan, and Zicheng Liu, “Propagative Hough Voting for Human Activity Recognition”, in Proc. European Conference on Computer Vision (ECCV’12), 2012 [PDF]
• Rongrong Ji, Ling-Yu Duan, Hongxun Yao, Jie Chen, Junsong Yuan, Yong Rui, and Wen Gao, “Location Discriminative Vocabulary Coding for Mobile Landmark Search”, in International Journal on Computer Vision (IJCV), 2012 [PDF]
• Junsong Yuan, Gangqiang Zhao, Yun Fu, Zhu Li, Aggelos K. Katsaggelos, Ying Wu, “Discovering Thematic Objects in Image Collections and Videos”, in IEEE Transactions on Image Processing (T-IP), 2012 [PDF]
• Junsong Yuan, Ying Wu, “Mining Visual Collocation Patterns via Self-Supervised Subspace Learning”, in IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B), 2012 [PDF]

2011

• Zhou Ren, Junsong Yuan, Chunyuan Li, and Wenyu Liu, “Minimum Near-Convex Decomposition for Robust Shape Representation”, in Proc. IEEE International Conference on Computer Vision (ICCV'11), 2011 [PDF]
• Junsong Yuan, Ming Yang, and Ying Wu, “Mining Discriminative Co-occurrence Patterns for Visual Recognition”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), 2011 [PDF]
• Tran Du and Junsong Yuan, “Optimal Spatio-Temporal Path Discovery for Video Event Detection”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), 2011 [PDF]
• Yang Cong, Junsong Yuan and Ji Liu, “Sparse Reconstruction Cost for Abnormal Event Detection”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), 2011 [PDF]
• Gang Yu, Junsong Yuan, and Zicheng Liu, “Unsupervised Random Forest Indexing for Fast Action Search”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), 2011 [PDF]
• Junsong Yuan, Zicheng Liu and Ying Wu, “Discriminative Video Pattern Search for Efficient Action Detection”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2011 [PDF] [Project]
• Jiang Xu, Junsong Yuan and Ying Wu, “Learning Spatio-Temporal Dependency of Local Patches for Complex Motion Segmentation”, in Computer Vision and Image Understanding (CVIU), 2011 [PDF]
• Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris and Aggelos K. Katsaggelos, “Anomalous Video Event Detection Using Spatiotemporal Context”, in Computer Vision and Image Understanding (CVIU), 2011 [PDF]

2010 and before

• Jiang Xu, Junsong Yuan and Ying Wu, “Multimodal Partial Estimates Fusion”, in Proc. IEEE International Conference on Computer Vision (ICCV'09), 2009
• Junsong Yuan, Zicheng Liu and Ying Wu, “Discriminative Subvolume Search for Efficient Action Detection”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), 2009 (CVPR 2009 Doctoral Spotlight Award Winner)
• Junsong Yuan, Jiebo Luo and Ying Wu, “Mining Compositional Features for Boosting”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08), 2008
• Junsong Yuan and Ying Wu, “Context-Aware Clustering”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08), 2008
• Junsong Yuan and Ying Wu, “Spatial Random Partition for Common Visual Pattern Discovery”, in Proc. IEEE International Conference on Computer Vision (ICCV'07), 2007
• Junsong Yuan, Ying Wu and Ming Yang, “Discovery of Collocation Patterns: from Visual Words to Visual Phrases”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), 2007
• Ming Yang, Junsong Yuan, and Ying Wu, “Spatial Selection for Attentional Visual Tracking”, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), 2007
• Junsong Yuan, Ying Wu and Ming Yang, “From Frequent Itemsets To Semantically Meaningful Visual Patterns”, in Proc. ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD'07), 2007