[2024]        [2023]       [2022]       [2021]       [2020]       [2019]       [2018]       [2017]       [2016]       [Before 2016]

Journal Papers

  • Ziwei Wang, Jiwen Lu, Ziyi Wu, and Jie Zhou, Learning Efficient Binarized Object Detectors with Information Compression, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 6, pp. 3082-3095, 2022.
  • Cheng Ma, Yongming Rao, Jiwen Lu, and Jie Zhou, Structure-Preserving Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, pp. 7898-7911, 2022.
  • Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, and Feiping Nie, Adaptive Neighborhood Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, pp. 4591-4604, 2022.
  • Wencheng Zhu, Yucheng Han, Jiwen Lu, and Jie Zhou, Relational Reasoning over Spatial-Temporal Graphs for Video Summarization, IEEE Transactions on Image Processing, vol. 31, pp. 3017-3031, 2022.
  • Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, and Jiwen Lu, Probabilistic Temporal Modeling for Unintentional Action Localization, IEEE Transactions on Image Processing, vol. 31, pp. 3081-3094, 2022.
  • Jinglin Xu, Guangyi Chen, Jiwen Lu, and Jie Zhou, Unintentional Action Localization via Counterfactual Examples, IEEE Transactions on Image Processing, vol. 31, pp. 3281-3294, 2022.
  • Cheng Ma, Peiqi Yu, Jiwen Lu, and Jie Zhou, Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution, IEEE Transactions on Image Processing, vol. 31, pp. 3669-3683, 2022.
  • Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, and Jie Zhou, MetaAge: Meta-Learning Personalized Age Estimators, IEEE Transactions on Image Processing, vol. 31, pp. 4761-4765, 2022.
  • An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, and Jie Zhou, SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation, IEEE Transactions on Image Processing, vol. 31, pp. 4952-4965, 2022.
  • Yu Zheng, Xiuwei Xu, Jiwen Lu, and Jie Zhou, PointRas: Point Cloud Segmentation as Rasterization, IEEE Transactions on Image Processing, vol. 31, pp. 6002-6016, 2022.
  • Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, and Jiwen Lu, VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning, IEEE Transactions on Image Processing, vol. 31, pp. 6048-6061, 2022.
  • Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, and Jiwen Lu, Video Saliency Forecasting Transformer, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 10, pp. 6850-6862, 2022.
  • Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Ambiguousness-Aware State Evolution for Action Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 9, pp. 6058-6072, 2022.
  • Muheng Li, Lei Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Order-Constrained Representation Learning for Instructional Video Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5438-5452, 2022.
  • Yi Wei, Hengkai Guo, Jiwen Lu, and Jie Zhou, Iterative Feature Matching for Self-Supervised Indoor Depth Estimation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 3839-3852, 2022.
  • Shuyan Li, Xiu Li, Jiwen Lu, and Jie Zhou, Structure-adaptive Neighborhood Preserving Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 4, pp. 2441-2454, 2022.
  • Wencheng Zhu, Jiahao Li, Jiwen Lu, and Jie Zhou, Separable Structure Modeling for Semi-Supervised Video Object Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 330-344, 2022.
  • Bingyao Yu, Jiwen Lu, Xiu Li, and Jie Zhou, Salience-Aware Face Anti-Spoofing via Deep Reinforcement Learning, IEEE Transactions on Information Forensics and Security, vol. 17, pp. 413-427, 2022.
  • Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, and Jie Zhou, Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 18, no. 2, pp. 1-24, 2022.
  • Wencheng Zhu, Jiwen Lu, Yucheng Han, and Jie Zhou, Learning Multiscale Hierarchical Attention for Video Summarization, Pattern Recognition, vol. 122, article no. 108312, 2022.
  • Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, and Yang Gao, Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation, IEEE Transactions on Medical Imaging, vol. 41, no. 3, pp. 608-620, 2022.


Conference Papers

  • Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, and Jiwen Lu, HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions, NeurIPS, 2022.
  • Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, and Jiwen Lu, P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting, NeurIPS, 2022.
  • Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, and Jiwen Lu, OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression, NeurIPS, 2022.
  • Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou and Jiwen Lu, Label2Label: A Language Modeling Framework for Multi-Attribute Learning, ECCV, 2022.
  • Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou and Jiwen Lu, Dynamic Metric Learning with Cross-Level Concept Distillation, ECCV, 2022.
  • Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, and Jiwen Lu, Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis, ECCV, 2022.
  • Yongming Rao, Wenliang Zhao, Jie Zhou and Jiwen Lu, AdaMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers, ECCV, 2022.
  • Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou and Jiwen Lu, LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection, ECCV, 2022.
  • Cheng Ma, Jingyi Zhang, Jie Zhou and Jiwen Lu, Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution, ECCV, 2022.
  • Quan Zheng, Ziwei Wang, Jie Zhou and Jiwen Lu, Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value, ECCV, 2022.
  • Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, and Tiejun Huang, Spike Transformer: Monocular Depth Estimation for Spiking Camera, ECCV, 2022.
  • Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, and Jie Zhou, SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation, CoRL, 2022.
  • Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, and Jiwen Lu, GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutters, IROS, 2022.
  • Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, and Jiwen Lu, FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment, CVPR, 2022. (oral)
  • Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, and Qi Tian, HyperDet3D: Learning a Scene-conditioned 3D Object Detector, CVPR, 2022. (oral)
  • Borui Zhang, Wenzhao Zheng, Jie Zhou, and Jiwen Lu, Attributable Visual Similarity Learning, CVPR, 2022.
  • Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu, Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, CVPR, 2022.
  • Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, and Jiwen Lu, DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting, CVPR, 2022.
  • Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, and Jiwen Lu, Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos, CVPR, 2022.
  • Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, and Jiwen Lu, Dimension Embeddings for Monocular 3D Object Detection, CVPR, 2022.
  • Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, and Jiwen Lu, Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement, CVPR, 2022.
  • Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, and Jiwen Lu, SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation, CVPR, 2022.
  • Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, and Jiwen Lu, Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling, CVPR, 2022.
  • Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, and Jiwen Lu, Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search, CVPR, 2022.
  • Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, and Jiwen Lu, Uncertainty-Aware Representation Learning for Action Segmentation, IJCAI, 2022.