Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTiejun Huang 0001
TieJun Huang 0001 – Tie-jun Huang 0001 – Tie-Jun Huang 0001 – 黄铁军
Person information
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation (PhD 1998): Huazhong University of Science and Technology, Wuhan, China
- unicode name: 黄铁军
Other persons with the same name
- Tie-Jun Huang 0002 (aka: Tiejun Huang 0002) — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Tiejun Huang 0003 — Beijing Academy of Artificial Intelligence, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j122]Yichen Zhang
, Kai Du, Tiejun Huang:
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation. Neural Comput. 35(4): 627-644 (2023)- [j121]Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang, Si Wu:
Visual information processing through the interplay between fine and coarse signal pathways. Neural Networks 166: 692-703 (2023) - [j120]Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1233-1249 (2023) - [j119]Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Tie-Jun Huang, Song Wang:
Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8127-8142 (2023) - [j118]Jin Han, Yixin Yang, Peiqi Duan, Chu Zhou, Lei Ma, Chao Xu, Tie-Jun Huang, Imari Sato, Boxin Shi:
Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8553-8565 (2023) - [j117]Peiqi Duan, Yi Ma, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang, Boxin Shi:
NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15219-15232 (2023) - [j116]Luntian Mou, Yiyuan Zhao, Chao Zhou, Bahareh Nakisa, Mohammad Naim Rastgoo, Lei Ma, Tiejun Huang, Baocai Yin, Ramesh C. Jain, Wen Gao:
Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework. IEEE Trans. Affect. Comput. 14(4): 2970-2981 (2023) - [j115]Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tie-Jun Huang, Yonghong Tian:
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Trans. Circuits Syst. Video Technol. 33(1): 16-29 (2023) - [j114]Yajing Zheng, Zhaofei Yu, Song Wang, Tie-Jun Huang:
Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning. IEEE Trans. Image Process. 32: 335-349 (2023) - [j113]Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tie-Jun Huang:
A Residual Learning Approach to Deblur and Generate High Frame Rate Video With an Event Camera. IEEE Trans. Multim. 25: 5826-5839 (2023) - [j112]Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian:
Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1742-1753 (2023) - [j111]Jingyao Wang, Luntian Mou, Lei Ma, Tiejun Huang, Wen Gao:
AMSA: Adaptive Multimodal Learning for Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 135:1-135:21 (2023) - [c208]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI 2023: 11-21 - [c207]Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI 2023: 137-147 - [c206]Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. AAAI 2023: 350-358 - [c205]Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang:
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. AAAI 2023: 2910-2918 - [c204]Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang:
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. AAAI 2023: 3579-3587 - [c203]Yakun Chang, Chu Zhou, Yuchen Hong, Liwen Hu, Chao Xu, Tiejun Huang, Boxin Shi:
1000 FPS HDR Video with a Spike-RGB Hybrid Camera. CVPR 2023: 22180-22190 - [c202]Zhixuan Li, Ruohua Shi, Tiejun Huang, Tingting Jiang:
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation. ICASSP 2023: 1-5 - [c201]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR 2023 - [c200]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML 2023: 8103-8119 - [c199]Yanchen Dong, Rui Zhao, Ruiqin Xiong, Shuyuan Zhu, Xiaopeng Fan, Tiejun Huang:
Optimization-Inspired Deep Network for Image Restoration from Partial Random Samples. ISCAS 2023: 1-5 - [c198]Junwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing High-Speed Moving Objects with Spike Camera. ACM Multimedia 2023: 7657-7665 - [c197]Dongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao:
HumVis: Human-Centric Visual Analysis System. ACM Multimedia 2023: 9396-9398 - [c196]Kenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu:
When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X. HotMobile 2023: 42-48 - [i63]Mingyang Zhao, Lei Ma, Xiaohong Jia, Dong-Ming Yan, Tiejun Huang:
GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing. CoRR abs/2302.01109 (2023) - [i62]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR abs/2302.02091 (2023) - [i61]Chuang Zhu, Kebin Liu, Wenqi Tang, Ke Mei, Jiaqi Zou, Tiejun Huang:
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation. CoRR abs/2302.06992 (2023) - [i60]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. CoRR abs/2302.10685 (2023) - [i59]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR abs/2303.04347 (2023) - [i58]Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu:
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR abs/2303.10571 (2023) - [i57]Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
SpikeCV: Open a Continuous Computer Vision Era. CoRR abs/2303.11684 (2023) - [i56]Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang:
Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios. CoRR abs/2303.16783 (2023) - [i55]Liwen Hu, Lei Ma, Zhaofei Yu, Boxin Shi, Tiejun Huang:
Spike Stream Denoising via Spike Camera Simulation. CoRR abs/2304.03129 (2023) - [i54]Muyang He, Shuo Yang, Tiejun Huang, Bo Zhao:
Large-scale Dataset Pruning with Dynamic Uncertainty. CoRR abs/2306.05175 (2023) - [i53]Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Spike timing reshapes robustness against attacks in spiking neural networks. CoRR abs/2306.05654 (2023) - [i52]Wang Yu, Xuelin Qian, Jingyang Huo, Tiejun Huang, Bo Zhao, Yanwei Fu:
Pushing the Limits of 3D Shape Generation at Scale. CoRR abs/2306.11510 (2023) - [i51]Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views. CoRR abs/2307.00821 (2023) - [i50]Bo Zhao, Boya Wu, Tiejun Huang:
SVIT: Scaling up Visual Instruction Tuning. CoRR abs/2307.04087 (2023) - [i49]Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong:
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. CoRR abs/2307.06003 (2023) - [i48]Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao:
SegVol: Universal and Interactive Volumetric Medical Image Segmentation. CoRR abs/2311.13385 (2023) - 2022
- [j110]Siwei Ma, Li Zhang, Shiqi Wang, Chuanmin Jia, Shanshe Wang, Tiejun Huang, Feng Wu, Wen Gao:
Evolution of AVS video coding standards: twenty years of innovation and development. Sci. China Inf. Sci. 65(9): 1-24 (2022) - [j109]Liuyuan He, Yutao He, Lei Ma, Tie-Jun Huang:
A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels. Frontiers Comput. Neurosci. 16 (2022) - [j108]Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang:
U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms. Frontiers Comput. Neurosci. 16: 842760 (2022) - [j107]Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang:
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches. Int. J. Autom. Comput. 19(5): 350-365 (2022) - [j106]Xiaolong Zou, Tie-Jun Huang, Si Wu:
Towards a New Paradigm for Brain-inspired Computer Vision. Int. J. Autom. Comput. 19(5): 412-424 (2022) - [j105]Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang:
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. Neural Comput. 34(6): 1369-1397 (2022) - [j104]Yaoyu Zhu, Yu Zhang, Xiaodong Xie, Tie-Jun Huang:
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera. Neural Comput. 34(8): 1812-1839 (2022) - [j103]Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
Neural feedback facilitates rough-to-fine information retrieval. Neural Networks 151: 349-364 (2022) - [j102]Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 100-113 (2022) - [j101]Peiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tie-Jun Huang, Aggelos K. Katsaggelos:
Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8261-8275 (2022) - [j100]Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu:
Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns 3(3): 100424 (2022) - [j99]Jing Zhao, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao, Tiejun Huang:
Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera. IEEE Trans. Computational Imaging 8: 12-27 (2022) - [j98]Rui Zhao, Ruiqin Xiong, Ziluo Ding, Xiaopeng Fan, Jian Zhang, Tiejun Huang:
MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4639-4652 (2022) - [j97]Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52(1): 39-50 (2022) - [j96]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu:
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52(6): 4772-4783 (2022) - [j95]Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian:
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection. IEEE Trans. Image Process. 31: 2975-2987 (2022) - [j94]Mingyang Zhao, Lei Ma, Xiaohong Jia, Dong-Ming Yan, Tiejun Huang:
GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal Processing. IEEE Trans. Image Process. 31: 7449-7464 (2022) - [j93]Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tie-Jun Huang, Yonghong Tian:
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. IEEE Trans. Multim. 24: 2246-2258 (2022) - [j92]Shiliang Zhang, Guorong Li, Weigang Zhang, Qingming Huang, Tiejun Huang, Mubarak Shah, Nicu Sebe:
Introduction to the Special Issue on Fine-Grained Visual Recognition and Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 24:1-24:3 (2022) - [c195]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI 2022: 11-20 - [c194]Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. AAAI 2022: 525-533 - [c193]Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI 2022: 1332-1340 - [c192]Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian:
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CVPR 2022: 3584-3594 - [c191]Liwen Hu, Rui Zhao, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, Tiejun Huang:
Optical Flow Estimation for Spiking Camera. CVPR 2022: 17823-17832 - [c190]Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CVPR 2022: 19291-19300 - [c189]Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang:
Spike Transformer: Monocular Depth Estimation for Spiking Camera. ECCV (7) 2022: 34-52 - [c188]Zhixuan Li, Weining Ye, Tingting Jiang, Tie-jun Huang:
2D Amodal Instance Segmentation Guided by 3D Shape Prior. ECCV (29) 2022: 165-181 - [c187]Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang:
Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP 2022: 4653-4657 - [c186]Junwei Zhao, Shiliang Zhang, Tiejun Huang:
Transformer-Based Domain Adaptation for Event Data Classification. ICASSP 2022: 4673-4677 - [c185]Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tiejun Huang:
3D Residual Interpolation for Spike Camera Demosaicing. ICIP 2022: 1461-1465 - [c184]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR 2022 - [c183]Yixuan Wang, Jianing Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian:
Learning Stereo Depth Estimation with Bio-Inspired Spike Cameras. ICME 2022: 1-6 - [c182]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. ICME 2022: 1-6 - [c181]Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian:
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML 2022: 3701-3715 - [c180]Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang:
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. IJCAI 2022: 2859-2866 - [c179]Junwei Zhao, Shiliang Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang:
SpikingSIM: A Bio-Inspired Spiking Simulator. ISCAS 2022: 3003-3007 - [c178]Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang:
Learning Optical Flow from Continuous Spike Streams. NeurIPS 2022 - [c177]Tianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang, Tiejun Huang, Yuanyuan Mi, Si Wu:
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells. NeurIPS 2022 - [c176]Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS 2022 - [c175]Xingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang, Wenhao Zhang, Si Wu:
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks. NeurIPS 2022 - [c174]Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Temporal Effective Batch Normalization in Spiking Neural Networks. NeurIPS 2022 - [c173]Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier:
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS 2022 - [c172]Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tie-Jun Huang:
High-Speed Scene Reconstruction from Low-Light Spike Streams. VCIP 2022: 1-5 - [c171]Yiyang Zhang, Ruiqin Xiong, Tie-Jun Huang:
Spike Signal Reconstruction Based on Inter-Spike Similarity. VCIP 2022: 1-5 - [i47]Liwen Hu, Lei Ma, Dawei Weng, Tiejun Huang:
A Robust Visual Sampling Model Inspired by Receptive Field. CoRR abs/2201.01030 (2022) - [i46]Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian:
1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR abs/2201.09302 (2022) - [i45]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. CoRR abs/2201.09754 (2022) - [i44]Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian:
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CoRR abs/2201.10943 (2022) - [i43]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR abs/2202.01440 (2022) - [i42]Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang:
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. CoRR abs/2203.05395 (2022) - [i41]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. CoRR abs/2208.08721 (2022) - [i40]Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. CoRR abs/2208.12527 (2022) - [i39]Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. CoRR abs/2208.12653 (2022) - [i38]Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu:
Multi-Agent Sequential Decision-Making via Communication. CoRR abs/2209.12713 (2022) - [i37]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR abs/2210.13942 (2022) - 2021
- [j91]Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi:
A brain-inspired computational model for spatio-temporal information processing. Neural Networks 143: 74-87 (2021) - [j90]Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang:
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns 2(10): 100350 (2021) - [j89]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
Hybrid Coding of Spatiotemporal Spike Data for a Bio-Inspired Camera. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2837-2851 (2021) - [j88]Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian, Peiyin Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang:
Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4147-4161 (2021) - [c170]Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang:
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. CVPR 2021: 6358-6367 - [c169]Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang:
Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. CVPR 2021: 11996-12005 - [c168]Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian:
Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. ICASSP 2021: 8483-8487 - [c167]Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian:
NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. ICCV 2021: 2380-2389 - [c166]Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang:
Super Resolve Dynamic Scene from Continuous Spike Streams. ICCV 2021: 2513-2522 - [c165]Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian:
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV 2021: 2641-2651 - [c164]Tianxiao Gao, Ruiqin Xiong, Rui Zhao, Jian Zhang, Shuyuan Zhu, Tiejun Huang:
Recover The Residual Of Residual: Recurrent Residual Refinement Network For Image Super-Resolution. ICIP 2021: 1804-1808 - [c163]Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian:
Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition. ICME Workshops 2021: 1-6 - [c162]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c161]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI 2021: 2328-2336 - [c160]Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu:
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. NeurIPS 2021: 16791-16804 - [c159]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [i36]