Huang, Tiejun

115 publications

CVPR 2025 Code-as-Monitor: Constraint-Aware Visual Programming for Reactive and Proactive Robotic Failure Detection Enshen Zhou, Qi Su, Cheng Chi, Zhizheng Zhang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, He Wang

ICML 2025 Differential Coding for Training-Free ANN-to-SNN Conversion Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang

ICML 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang

NeurIPS 2025 High Dynamic Range Imaging with Time-Encoding Spike Camera Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie, Yuanlin Wang, Xinfeng Zhang, Tiejun Huang

ICCV 2025 ISP2HRNet: Learning to Reconstruct High Resolution Image from Irregularly Sampled Pixels via Hierarchical Gradient Learning Yuanlin Wang, Ruiqin Xiong, Rui Zhao, Jin Wang, Xiaopeng Fan, Tiejun Huang

CVPR 2025 MLVU: Benchmarking Multi-Task Long Video Understanding Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Zhengyang Liang, Shitao Xiao, Minghao Qin, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu

AAAI 2025 Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis Yu Zhu, Bo Lei, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

ICML 2025 Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment Yu Zhu, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

CVPR 2025 OmniGen: Unified Image Generation Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, Zheng Liu

NeurIPS 2025 Orochi: Versatile Biomedical Image Processor Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang

AAAI 2025 Rethinking High-Speed Image Reconstruction Framework with Spike Camera Kang Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu

NeurIPS 2025 RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics Enshen Zhou, Jingkun An, Cheng Chi, Yi Han, Shanyu Rong, Chi Zhang, Pengwei Wang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, Shanghang Zhang

ICCV 2025 SAMPLE: Semantic Alignment Through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition Jing Wang, Rui Zhao, Ruiqin Xiong, Xingtao Wang, Xiaopeng Fan, Tiejun Huang

ICML 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang

IJCAI 2025 SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-Bias Videos Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang

CVPR 2025 Self-Supervised Learning for Color Spike Camera Reconstruction Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang

AAAI 2025 SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera Yijia Guo, Liwen Hu, Yuanxi Bai, Jiawei Yao, Lei Ma, Tiejun Huang

WACV 2025 Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi-Scale State Space Models Jiaoyang Yin, Bin Fan, Chao Xu, Tiejun Huang, Boxin Shi

CVPR 2025 Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering Yuanlin Wang, Yiyang Zhang, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Tiejun Huang

CVPR 2025 USP-Gaussian: Unifying Spike-Based Image Reconstruction, Pose Correction and Gaussian Splatting Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu

CVPR 2025 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding Yan Shu, Zheng Liu, Peitian Zhang, Minghao Qin, Junjie Zhou, Zhengyang Liang, Tiejun Huang, Bo Zhao

CVPR 2025 You See It, You Got It: Learning 3D Creation on Pose-Free Videos at Scale Baorui Ma, Huachen Gao, Haoge Deng, Zhengxiong Luo, Tiejun Huang, Lulu Tang, Xinlong Wang

ICLR 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-Hierarchical Model Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang

CVPR 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 Continuous Spatiotemporal Events Decoupling Through Spike-Based Bayesian Computation Yajing Zheng, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang

ICLR 2024 Emu: Generative Pretraining in Multimodality Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

ICML 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

AAAI 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

AAAI 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang

CVPR 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang

CVPR 2024 Generative Multimodal Models Are In-Context Learners Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang

CVPR 2024 Intensity-Robust Autofocus for Spike Camera Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang

AAAI 2024 Joint Demosaicing and Denoising for Spike Camera Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang

NeurIPS 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart Through Learnable Multi-Hierarchical Threshold Model Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

CVPRW 2024 Large-Scale Dataset Pruning with Dynamic Uncertainty Muyang He, Shuo Yang, Tiejun Huang, Bo Zhao

NeurIPS 2024 Learning from Pattern Completion: Self-Supervised Controllable Generation Zhiqiang Chen, Guofan Fan, Jinying Gao, Lei Ma, Bo Lei, Tiejun Huang, Shan Yu

ECCV 2024 Learning to Robustly Reconstruct Dynamic Scenes from Low-Light Spike Streams Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tiejun Huang

ICLR 2024 Online Stabilization of Spiking Neural Networks Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu

AAAI 2024 Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang

AAAI 2024 Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang

ECCV 2024 Region-Native Visual Tokenization Mengyu Wang, Yuyao Huang, Henghui Ding, Xinlong Wang, Tiejun Huang, Yao Zhao, Yunchao Wei, Shuicheng Yan

NeurIPS 2024 Retrospective for the Dynamic Sensorium Competition for Predicting Large-Scale Mouse Primary Visual Cortex Activity from Videos Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

ICML 2024 Robust Stable Spiking Neural Networks Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 SegVol: Universal and Interactive Volumetric Medical Image Segmentation Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao

NeurIPS 2024 Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras Bin Fan, Jiaoyang Yin, Yuchao Dai, Chao Xu, Tiejun Huang, Boxin Shi

CVPR 2024 Spike-Guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

CVPR 2024 Super-Resolution Reconstruction from Bayer-Pattern Spike Streams Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang

ICLR 2024 Threaten Spiking Neural Networks Through Combining Rate and Temporal Information Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CVPR 2024 Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu, Bin Fan, Zhaojun Huang, Tiejun Huang, Boxin Shi

AAAI 2024 Transient Glimpses: Unveiling Occluded Backgrounds Through the Spike Camera Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

ICLR 2024 Uni3D: Exploring Unified 3D Representation at Scale Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang

CVPR 2023 1000 FPS HDR Video with a Spike-RGB Hybrid Camera Yakun Chang, Chu Zhou, Yuchen Hong, Liwen Hu, Chao Xu, Tiejun Huang, Boxin Shi

ICLR 2023 Bridging the Gap Between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

CVPR 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao

NeurIPS 2023 Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

ICML 2023 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu

NeurIPS 2023 Exploring Loss Functions for Time-Based Training Strategy in Spiking Neural Networks Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu

CVPR 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang

AAAI 2023 Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang

AAAI 2023 Learning to Super-Resolve Dynamic Scenes for Neuromorphic Spike Camera Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang

ICCV 2023 MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang

AAAI 2023 Reducing ANN-SNN Conversion Error Through Residual Membrane Potential Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

AAAI 2023 SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang

ICCV 2023 SegGPT: Towards Segmenting Everything in Context Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang

AAAI 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera Shiyan Chen, Zhaofei Yu, Tiejun Huang

NeurIPS 2023 Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu

NeurIPS 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong

ECCV 2022 2D Amodal Instance Segmentation Guided by 3D Shape Prior Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

NeurIPS 2022 Adaptation Accelerating Sampling-Based Bayesian Inference in Attractor Neural Networks Xingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang, Wenhao Zhang, Si Wu

CVPR 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian

NeurIPS 2022 Learning Optical Flow from Continuous Spike Streams Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang

CVPR 2022 Optical Flow Estimation for Spiking Camera Liwen Hu, Rui Zhao, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, Tiejun Huang

ICLR 2022 Optimal ANN-SNN Conversion for High-Accuracy and Ultra-Low-Latency Spiking Neural Networks Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang

AAAI 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

NeurIPS 2022 Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells Tianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang, Tiejun Huang, Yuanyuan Mi, Si Wu

CVPR 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu

AAAI 2022 Retinomorphic Object Detection in Asynchronous Visual Streams Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian

NeurIPS 2022 SNN-RAT: Robustness-Enhanced Spiking Neural Network Through Regularized Adversarial Training Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian Liu

IJCAI 2022 Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang

AAAI 2022 Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang

ECCV 2022 Spike Transformer: Monocular Depth Estimation for Spiking Camera Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang

ICML 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian

NeurIPS 2022 Temporal Effective Batch Normalization in Spiking Neural Networks Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang

NeurIPS 2022 Training Spiking Neural Networks with Event-Driven Backpropagation Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier

NeurIPS 2021 Deep Residual Learning in Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

CVPR 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang

ICCV 2021 Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian

ICCV 2021 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian

NeurIPS 2021 Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu

IJCAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang

IJCAI 2021 Pruning of Deep Spiking Neural Networks Through Gradient Rewiring Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian

CVPR 2021 Spk2ImgNet: Learning to Reconstruct Dynamic Scene from Continuous Spike Stream Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang

ICCV 2021 Super Resolve Dynamic Scene from Continuous Spike Streams Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang

ECCV 2020 An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-Identification Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu

WACV 2020 Global Co-Occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-Based Action Recognition Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian

ICLR 2020 Graph Convolutional Reinforcement Learning Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu

NeurIPS 2020 Learning Individually Inferred Communication for Multi-Agent Cooperation Ziluo Ding, Tiejun Huang, Zongqing Lu

ECCV 2020 Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian

NeurIPS 2020 UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi

AAAI 2019 Multi-Scale 3D Convolution Network for Video Based Person Re-Identification Jianing Li, Shiliang Zhang, Tiejun Huang

NeurIPS 2019 Push-Pull Feedback Implements Hierarchical Information Retrieval Efficiently Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu

CVPRW 2019 Pyramid Convolutional Network for Single Image Deraining Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao

AAAI 2018 SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao

ICCV 2017 Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang

ICCV 2017 Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang

AAAI 2016 Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao

CVPR 2016 Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, Tiejun Huang

ECCV 2016 Joint Learning of Semantic and Latent Attributes Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang

IJCAI 2016 To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes Zhe Wang, Ling-Yu Duan, Junsong Yuan, Tiejun Huang, Wen Gao

CVPR 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian

IJCAI 2015 Hamming Compatible Quantization for Hashing Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao

AAAI 2015 Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang

IJCAI 2011 Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao