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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
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2020 – today
- 2022
[j104]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)- [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [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) - [c176]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI 2022: 11-20 - [c175]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 - [c174]Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI 2022: 1332-1340 - [c173]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 - [c172]Junwei Zhao, Shiliang Zhang, Tiejun Huang:
Transformer-Based Domain Adaptation for Event Data Classification. ICASSP 2022: 4673-4677 - [c171]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 - [c170]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 - [i42]Liwen Hu, Lei Ma, Dawei Weng, Tiejun Huang:
A Robust Visual Sampling Model Inspired by Receptive Field. CoRR abs/2201.01030 (2022) - [i41]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) - [i40]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. CoRR abs/2201.09754 (2022) - [i39]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) - [i38]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR abs/2202.01440 (2022) - [i37]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) - 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) - [c169]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 - [c168]Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang:
Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. CVPR 2021: 11996-12005 - [c167]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 - [c166]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 - [c165]Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang:
Super Resolve Dynamic Scene from Continuous Spike Streams. ICCV 2021: 2513-2522 - [c164]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 - [c163]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 - [c162]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 - [c161]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c160]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 - [c159]Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu:
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. NeurIPS 2021: 16791-16804 - [c158]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [i36]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i35]Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. CoRR abs/2104.04669 (2021) - [i34]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR abs/2105.04916 (2021) - [i33]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR abs/2105.11654 (2021) - [i32]Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. CoRR abs/2109.04871 (2021) - [i31]Liwen Hu, Rui Zhao, Ziluo Ding, Ruiqin Xiong, Lei Ma, Tiejun Huang:
SCFlow: Optical Flow Estimation for Spiking Camera. CoRR abs/2110.03916 (2021) - [i30]Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CoRR abs/2111.14819 (2021) - 2020
- [j87]Gengshuo Tian, Shangyang Li, Tiejun Huang, Si Wu:
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection. Frontiers Comput. Neurosci. 14: 79 (2020) - [j86]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-Shot Feature Learning via Self-Supervised Training. Frontiers Comput. Neurosci. 14: 83 (2020) - [j85]Xiaobin Liu, Shiliang Zhang, Tiejun Huang, Qi Tian:
E2BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval. Neurocomputing 395: 188-198 (2020) - [j84]Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu:
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks 125: 19-30 (2020) - [j83]Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian:
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks 126: 42-51 (2020) - [j82]Ingo Wald, Nate Morrical, Stefan Zellmann, Lei Ma, Will Usher, Tiejun Huang, Valerio Pascucci:
Using Hardware Ray Transforms to Accelerate Ray/Primitive Intersections for Long, Thin Primitive Types. Proc. ACM Comput. Graph. Interact. Tech. 3(2): 17:1-17:16 (2020) - [j81]Jianming Ye, Shiliang Zhang, Tiejun Huang, Yong Rui:
CDbin: Compact Discriminative Binary Descriptor Learned With Efficient Neural Network. IEEE Trans. Circuits Syst. Video Technol. 30(3): 862-874 (2020) - [j80]Lin Ding, Yonghong Tian, Hongfei Fan, Changhuai Chen, Tiejun Huang:
Joint Coding of Local and Global Deep Features in Videos for Visual Search. IEEE Trans. Image Process. 29: 3734-3749 (2020) - [j79]Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-Scale Temporal Cues Learning for Video Person Re-Identification. IEEE Trans. Image Process. 29: 4461-4473 (2020) - [j78]Bing Li, Chia-Wen Lin, Shan Liu, Tiejun Huang, Wen Gao, C.-C. Jay Kuo:
Perceptual Temporal Incoherence-Guided Stereo Video Retargeting. IEEE Trans. Image Process. 29: 5767-5782 (2020) - [j77]Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Dong Liu, Feng Wu, Tiejun Huang, Wen Gao:
Compressed Image Restoration via Artifacts-Free PCA Basis Learning and Adaptive Sparse Modeling. IEEE Trans. Image Process. 29: 7399-7413 (2020) - [j76]Lingyu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao:
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics. IEEE Trans. Image Process. 29: 8680-8695 (2020) - [c157]Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Retina-Like Visual Image Reconstruction via Spiking Neural Model. CVPR 2020: 1435-1443 - [c156]Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi:
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. CVPR 2020: 1606-1616 - [c155]Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
Neuromorphic Camera Guided High Dynamic Range Imaging. CVPR 2020: 1727-1736 - [c154]Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian:
Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC 2020: 400 - [c153]Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu:
An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification. ECCV (28) 2020: 20-36 - [c152]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) 2020: 507-522 - [c151]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c150]Jing Zhao, Ruiqin Xiong, Tiejun Huang:
High-Speed Motion Scene Reconstruction for Spike Camera via Motion Aligned Filtering. ISCAS 2020: 1-5 - [c149]Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR 2020: 157-160 - [c148]Peiyin Xing, Yaowei Wang, Peixi Peng, Yonghong Tian, Tiejun Huang:
End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. MIPR 2020: 233-236 - [c147]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [c146]Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. NeurIPS 2020 - [c145]Jing Zhao, Ruiqin Xiong, Rui Zhao, Jin Wang, Siwei Ma, Tiejun Huang:
Motion Estimation for Spike Camera Data Sequence via Spike Interval Analysis. VCIP 2020: 371-374 - [c144]Rui Zhao, Ruiqin Xiong, Shuyuan Zhu, Bing Zeng, Tiejun Huang, Wen Gao:
Optical Flow Estimation Between Images of Different Resolutions via Variational Method. VCIP 2020: 427-430 - [c143]Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian:
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. WACV 2020: 575-583 - [i29]Ling-Yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao:
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics. CoRR abs/2001.03569 (2020) - [i28]Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tiejun Huang:
Learning to Deblur and Generate High Frame Rate Video with an Event Camera. CoRR abs/2003.00847 (2020) - [i27]Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. CoRR abs/2003.05148 (2020) - [i26]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR abs/2006.06455 (2020) - [i25]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. CoRR abs/2009.05101 (2020) - [i24]Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang:
Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation. CoRR abs/2010.08209 (2020) - [i23]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. CoRR abs/2011.00178 (2020)
2010 – 2019
- 2019
- [j75]Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang:
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access 7: 157341-157352 (2019) - [j74]Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot:
Compact Descriptors for Video Analysis: The Emerging MPEG Standard. IEEE Multim. 26(2): 44-54 (2019) - [j73]Li Ma, Yonghong Tian, Peiyin Xing, Tiejun Huang:
Residual-Based Post-Processing for HEVC. IEEE Multim. 26(4): 67-79 (2019) - [j72]Liuqing Yang, Xiang Cheng, Mounir Ghogho, Ender Ayanoglu, Tiejun Huang, Nanning Zheng:
Guest Editorial Special Issue on IoT on the Move: Enabling Technologies and Driving Applications for Internet of Intelligent Vehicles (IoIV). IEEE Internet Things J. 6(1): 1-5 (2019) - [j71]Siwei Dong, Zhichao Bi, Yonghong Tian, Tiejun Huang:
Spike Coding for Dynamic Vision Sensor in Intelligent Driving. IEEE Internet Things J. 6(1): 60-71 (2019) - [j70]Ziqian Chen, Ling-Yu Duan, Shiqi Wang, Yihang Lou, Tiejun Huang, Dapeng Oliver Wu, Wen Gao:
Toward Knowledge as a Service Over Networks: A Deep Learning Model Communication Paradigm. IEEE J. Sel. Areas Commun. 37(6): 1349-1363 (2019) - [j69]Rui Chen, Fei Zhao, Changshui Yang, Yuan Li, Tiejun Huang:
Robust estimation for image noise based on eigenvalue distributions of large sample covariance matrices. J. Vis. Commun. Image Represent. 63 (2019) - [j68]Yuanyuan Yang, Yonghong Tian, Tiejun Huang:
Multiscale video sequence matching for near-duplicate detection and retrieval. Multim. Tools Appl. 78(1): 311-336 (2019) - [c142]Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification. AAAI 2019: 8618-8625 - [c141]Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao:
Pyramid Convolutional Network for Single Image Deraining. CVPR Workshops 2019: 9-16 - [c140]Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
Bi-Directional Cascade Network for Perceptual Edge Detection. CVPR 2019: 3828-3837 - [c139]Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals. DCC 2019: 568 - [c138]Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang:
Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. DCC 2019: 572 - [c137]Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. ICCV 2019: 3602-3611 - [c136]Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. ICME 2019: 1396-1401 - [c135]Jing Zhao, Ruiqin Xiong, Jizheng Xu, Feng Wu, Tiejun Huang:
Learning a Deep Convolutional Network for Subband Image Denoising. ICME 2019: 1420-1425 - [c134]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-Inspired Sampling Method for Visual Texture Reconstruction. ICME 2019: 1432-1437 - [c133]Luntian Mou, Hao Liu, Hao Ji, Tiejun Huang, Wen Gao:
Fine-granularity ownership identification of multimedia content components: a mechanism for smart media streaming. MIPR 2019: 366-370 - [c132]Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently. NeurIPS 2019: 5702-5711 - [c131]Gengshuo Tian, Tiejun Huang, Si Wu:
Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing. SMC 2019: 249-252 - [c130]Sheng Li, Tingting Jiang, Yonghong Tian, Tiejun Huang:
3D Human Skeleton Data Compression for Action Recognition. VCIP 2019: 1-4 - [i22]Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian:
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR abs/1902.08411 (2019) - [i21]Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
Bi-Directional Cascade Network for Perceptual Edge Detection. CoRR abs/1902.10903 (2019) - [i20]Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR abs/1904.13007 (2019) - [i19]Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian:
P-ODN: Prototype based Open Deep Network for Open Set Recognition. CoRR abs/1905.01851 (2019) - [i18]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-inspired Sampling Method for Visual Texture Reconstruction. CoRR abs/1907.08769 (2019) - [i17]Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu:
Spatiotemporal Information Processing with a Reservoir Decision-making Network. CoRR abs/1907.12071 (2019) - [i16]Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. CoRR abs/1910.02224 (2019) - [i15]Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera using Inter-Spike Intervals. CoRR abs/1912.09669 (2019) - [i14]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-shot Learning via Self-supervised Training. CoRR abs/1912.12178 (2019) - 2018
- [j67]Jun Zhu, Tiejun Huang, Wenguang Chen, Wen Gao:
The future of artificial intelligence in China. Commun. ACM 61(11): 44-45 (2018) - [j66]Yonghong Tian, Jiaying Yan, Siwei Dong, Tiejun Huang:
PA-Search: Predicting units adaptive motion search for surveillance video coding. Comput. Vis. Image Underst. 170: 14-27 (2018) - [j65]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang:
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1625-1638 (2018) - [j64]Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu:
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j63]