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2024

Joint Demosaicing and Denoising for Spike CameraYanchen Dong 0001, Ruiqin Xiong, Jing Zhao, Jian Zhang 0018, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang 0001. AAAI 2024: 1582-1590 [doi]

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike FusionRui Zhao 0010, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang 0001. AAAI 2024: 7496-7504 [doi]

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating MechanismsJianhao Ding, Zhaofei Yu, Tiejun Huang 0001, Jian K. Liu. AAAI 2024: 492-502 [doi]

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM ImagesRuohua Shi, Lingyu Duan, Tiejun Huang 0001, Tingting Jiang 0001. AAAI 2024: 4847-4855 [doi]

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike CameraJiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang 0001. AAAI 2024: 637-645 [doi]

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike CameraJunwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang 0001. AAAI 2024: 7478-7486 [doi]

2023

Optimization-Inspired Deep Network for Image Restoration from Partial Random SamplesYanchen Dong 0001, Rui Zhao 0010, Ruiqin Xiong, Shuyuan Zhu, Xiaopeng Fan, Tiejun Huang 0001. iscas 2023: 1-5 [doi]

Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike CameraJing Zhao 0011, Ruiqin Xiong, Jian Zhang 0018, Rui Zhao 0010, Hangfan Liu, Tiejun Huang 0001. AAAI 2023: 3579-3587 [doi]

Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron ModelLin Zhu 0012, Siwei Dong, Jianing Li, Tiejun Huang 0001, Yonghong Tian 0001. pami, 45(1):1233-1249, 2023. [doi]

1000 FPS HDR Video with a Spike-RGB Hybrid CameraYakun Chang, Chu Zhou, Yuchen Hong, Liwen Hu, Chao Xu 0002, Tiejun Huang 0001, Boxin Shi. cvpr 2023: 22180-22190 [doi]

Enhancing Motion Deblurring in High-Speed Scenes with Spike StreamsShiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang 0001, Zhaofei Yu. nips 2023: [doi]

Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking CameraShiyan Chen, Zhaofei Yu, Tiejun Huang 0001. AAAI 2023: 350-358 [doi]

Entity Divider with Language Grounding in Multi-Agent Reinforcement LearningZiluo Ding, Wanpeng Zhang 0002, Junpeng Yue, Xiangjun Wang, Tiejun Huang 0001, Zongqing Lu. icml 2023: 8103-8119 [doi]

NeuroZoom: Denoising and Super Resolving Neuromorphic Events and SpikesPeiqi Duan, Yi Ma 0001, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang 0001, Boxin Shi. pami, 45(12):15219-15232, December 2023. [doi]

Bridging the Gap between ANNs and SNNs by Calibrating Offset SpikesZecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang 0001, Zhaofei Yu. iclr 2023: [doi]

Reducing ANN-SNN Conversion Error through Residual Membrane PotentialZecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang 0001, Zhaofei Yu. AAAI 2023: 11-21 [doi]

OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance SegmentationZhixuan Li, Ruohua Shi, Tiejun Huang 0001, Tingting Jiang. icassp 2023: 1-5 [doi]

MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping ScenarioZhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang 0001. iccv 2023: 23447-23456 [doi]

Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural DynamicsXiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang 0001, Yuanyuan Mi, Si Wu 0001. nips 2023: [doi]

Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion FrameworkLuntian Mou, Yiyuan Zhao, Chao Zhou, Bahareh Nakisa, Mohammad Naim Rastgoo, Lei Ma 0008, Tiejun Huang 0001, Baocai Yin, Ramesh C. Jain, Wen Gao 0001. taffco, 14(4):2970-2981, October - December 2023. [doi]

AMSA: Adaptive Multimodal Learning for Sentiment AnalysisJingyao Wang, Luntian Mou, Lei Ma 0008, Tiejun Huang 0001, Wen Gao 0001. tomccap, 19(3s), 2023. [doi]

HumVis: Human-Centric Visual Analysis SystemDongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian 0001, Tiejun Huang 0001, Wen Gao 0001. mm 2023: 9396-9398 [doi]

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike CameraLujie Xia, Ziluo Ding, Rui Zhao 0010, Jiyuan Zhang, Lei Ma 0008, Zhaofei Yu, Tiejun Huang 0001, Ruiqin Xiong. nips 2023: [doi]

SVFI: Spiking-Based Video Frame Interpolation for High-Speed MotionLujie Xia, Jing Zhao 0011, Ruiqin Xiong, Tiejun Huang 0001. AAAI 2023: 2910-2918 [doi]

When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2XKenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang 0001, Chenren Xu. wmcsa 2023: 42-48 [doi]

Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet TransformsJiyuan Zhang, Shanshan Jia 0001, Zhaofei Yu, Tiejun Huang 0001. AAAI 2023: 137-147 [doi]

Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron SimulationYichen Zhang, Kai Du, Tiejun Huang 0001. neco, 35(4):627-644, 2023. [doi]

Recognizing High-Speed Moving Objects with Spike CameraJunwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang 0001. mm 2023: 7657-7665 [doi]

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural NetworksYaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang 0001, Zhaofei Yu. nips 2023: [doi]

Visual information processing through the interplay between fine and coarse signal pathwaysXiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang 0001, Si Wu 0001. NN, 166:692-703, September 2023. [doi]

2022

Representing the dynamics of high-dimensional data with non-redundant waveletsShanshan Jia 0001, Xingyi Li, Tiejun Huang 0001, Jian K. Liu, Zhaofei Yu. patterns, 3(3):100424, 2022. [doi]

Learning Optical Flow from Continuous Spike StreamsRui Zhao 0010, Ruiqin Xiong, Jing Zhao 0011, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang 0001. nips 2022: [doi]

Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike CameraJing Zhao 0011, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao 0001, Tiejun Huang 0001. tci, 8:12-27, 2022. [doi]

Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkLin Zhu 0012, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang 0001, Yonghong Tian 0001. cvpr 2022: 3584-3594 [doi]

Optimized Potential Initialization for Low-Latency Spiking Neural NetworksTong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang 0001. AAAI 2022: 11-20 [doi]

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural NetworksTong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang 0001. iclr 2022: [doi]

Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking CameraShiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang 0001. IJCAI 2022: 2859-2866 [doi]

State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural NetworksYanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang 0001, Yonghong Tian 0001. icml 2022: 3701-3715 [doi]

Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place CellsTianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang 0002, Tiejun Huang 0001, Yuanyuan Mi, Si Wu 0001. nips 2022: [doi]

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow EstimationZiluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang 0001. AAAI 2022: 525-533 [doi]

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial TrainingJianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang 0001, Jian K. Liu. nips 2022: [doi]

Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural NetworksXingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang 0001, Wenhao Zhang 0002, Si Wu 0001. nips 2022: [doi]

3D Residual Interpolation for Spike Camera DemosaicingYanchen Dong, Jing Zhao 0011, Ruiqin Xiong, Tiejun Huang 0001. icip 2022: 1461-1465 [doi]

Temporal Effective Batch Normalization in Spiking Neural NetworksChaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang 0001. nips 2022: [doi]

BDCN: Bi-Directional Cascade Network for Perceptual Edge DetectionJianzhong He, Shiliang Zhang, Ming Yang 0007, Yanhu Shan, Tiejun Huang 0001. pami, 44(1):100-113, 2022. [doi]

Optical Flow Estimation for Spiking CameraLiwen Hu, Rui Zhao 0010, Ziluo Ding, Lei Ma 0008, Boxin Shi, Ruiqin Xiong, Tiejun Huang 0001. cvpr 2022: 17823-17832 [doi]

Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object DetectionJianing Li, Jia Li 0003, Lin Zhu 0012, Xijie Xiang, Tiejun Huang 0001, Yonghong Tian 0001. TIP, 31:2975-2987, 2022. [doi]

Retinomorphic Object Detection in Asynchronous Visual StreamsJianing Li, Xiao Wang, Lin Zhu 0012, Jia Li 0003, Tiejun Huang 0001, Yonghong Tian 0001. AAAI 2022: 1332-1340 [doi]

Neural feedback facilitates rough-to-fine information retrievalXiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang 0001, K. Y. Michael Wong, Si Wu 0001. NN, 151:349-364, 2022. [doi]

Evolution of AVS video coding standards: twenty years of innovation and developmentSiwei Ma, Li Zhang 0006, Shiqi Wang 0001, Chuanmin Jia, Shanshe Wang, Tiejun Huang 0001, Feng Wu 0001, Wen Gao 0019. chinaf, 65(9):1-24, 2022. [doi]

U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning AlgorithmsRuohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma 0008, Kai Du, Tingting Jiang, Tiejun Huang 0001. ficn, 16:842760, 2022. [doi]

Learning Stereo Depth Estimation with Bio-Inspired Spike CamerasYixuan Wang, Jianing Li, Lin Zhu, Xijie Xiang, Tiejun Huang 0001, Yonghong Tian 0001. icmcs 2022: 1-6 [doi]

Temporal Up-Sampling for Asynchronous EventsXijie Xiang, Lin Zhu, Jianing Li, YongHong Tian, Tiejun Huang 0001. icmcs 2022: 1-6 [doi]

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning NetworksQi Yan, Yajing Zheng, Shanshan Jia 0001, Yichen Zhang, Zhaofei Yu, Feng Chen 0007, Yonghong Tian 0001, Tiejun Huang 0001, Jian K. Liu. tcyb, 52(1):39-50, 2022. [doi]

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingXumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang 0001, Jie Zhou 0001, Jiwen Lu. cvpr 2022: 19291-19300 [doi]

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual CortexYijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang 0001. neco, 34(6):1369-1397, 2022. [doi]

Introduction to the Special Issue on Fine-Grained Visual Recognition and Re-IdentificationShiliang Zhang, Guorong Li, Weigang Zhang, Qingming Huang, Tiejun Huang 0001, Mubarak Shah, Nicu Sebe. tomccap, 18(1s), 2022. [doi]

MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent DecoderRui Zhao, Ruiqin Xiong, Ziluo Ding, Xiaopeng Fan, Jian Zhang 0018, Tiejun Huang 0001. tcsv, 32(7):4639-4652, 2022. [doi]

SpikingSIM: A Bio-Inspired Spiking SimulatorJunwei Zhao, Shiliang Zhang, Lei Ma 0008, Zhaofei Yu, Tiejun Huang 0001. iscas 2022: 3003-3007 [doi]

Transformer-Based Domain Adaptation for Event Data ClassificationJunwei Zhao, Shiliang Zhang, Tiejun Huang 0001. icassp 2022: 4673-4677 [doi]

GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal ProcessingMingyang Zhao, Lei Ma 0008, Xiaohong Jia 0004, Dong-Ming Yan 0001, Tiejun Huang 0001. TIP, 31:7449-7464, 2022. [doi]

Modeling The Detection Capability Of High-Speed Spiking CamerasJunwei Zhao, Zhaofei Yu, Lei Ma 0008, Ziluo Ding, Shiliang Zhang, Yonghong Tian 0001, Tiejun Huang 0001. icassp 2022: 4653-4657 [doi]

Training Spiking Neural Networks with Event-driven BackpropagationYaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang 0001, Timothée Masquelier. nips 2022: [doi]

2021

Super Resolve Dynamic Scene from Continuous Spike StreamsJing Zhao 0011, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang 0001. iccv 2021: 2513-2522 [doi]

NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic CamerasLin Zhu 0012, Jianing Li, Xiao Wang, Tiejun Huang 0001, Yonghong Tian 0001. iccv 2021: 2380-2389 [doi]

Noisy Adaptation Generates Lévy Flights in Attractor Neural NetworksXingsi Dong, Tianhao Chu, Tiejun Huang 0001, Zilong Ji, Si Wu 0001. nips 2021: 16791-16804 [doi]

Deep Residual Learning in Spiking Neural NetworksWei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang 0001, Timothée Masquelier, Yonghong Tian 0001. nips 2021: 21056-21069 [doi]

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural NetworksWei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang 0001, Yonghong Tian 0001. iccv 2021: 2641-2651 [doi]

Recover The Residual Of Residual: Recurrent Residual Refinement Network For Image Super-ResolutionTianxiao Gao, Ruiqin Xiong, Rui Zhao, Jian Zhang, Shuyuan Zhu, Tiejun Huang 0001. icip 2021: 1804-1808 [doi]

Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute RecognitionXuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang 0001, Yonghong Tian 0001. icmcs 2021: 1-6 [doi]

2011

iULib: where UDL and Wikipedia could meetYonghong Tian 0001, Tiejun Huang 0001, Wen Gao 0001. ei-imawm 2011: [doi]

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