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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
- Tiejun Huang 0003 — Beijing Academy of Artificial Intelligence, China
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2020 – today
- 2025
[j137]Yang Liu, Xinlong Wang
, Muzhi Zhu, Yue Cao, Tiejun Huang, Chunhua Shen:
Masked Channel Modeling for Bootstrapping Visual Pre-training. Int. J. Comput. Vis. 133(2): 760-780 (2025)- [j136]Xueyin Wei, Jing Li, Xudong He, Weizhou Peng, Ying Zhu, Rongbin Gu, Yunlong Zhu, Tie-Jun Huang:
Extracting microservices from monolithic applications using consistent graph enhanced Graph Transformer. J. Syst. Softw. 222: 112345 (2025) - [j135]Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Shuyuan Zhu, Jin Wang, Tie-Jun Huang:
Dynamic Scene Reconstruction for Color Spike Camera via Zero-Shot Learning. IEEE Trans. Computational Imaging 11: 129-141 (2025) - [j134]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2881-2893 (2025) - [j133]Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu:
Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3396-3409 (2025) - [c255]Yijia Guo, Liwen Hu, Yuanxi Bai, Jiawei Yao, Lei Ma, Tiejun Huang:
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera. AAAI 2025: 3293-3301 - [c254]Jiaoyang Yin, Bin Fan, Chao Xu, Tiejun Huang, Boxin Shi:
Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi-Scale State Space Models. WACV 2025: 9342-9352 - [c253]Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang:
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. WWW 2025: 2366-2377 - [i97]Kang Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu:
Rethinking High-speed Image Reconstruction Framework with Spike Camera. CoRR abs/2501.04477 (2025) - [i96]Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang:
Towards High-performance Spiking Transformers from ANN to SNN Conversion. CoRR abs/2502.21193 (2025) - [i95]Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang:
Differential Coding for Training-Free ANN-to-SNN Conversion. CoRR abs/2503.00301 (2025) - [i94]Hanwen Liang, Xian Zhong, Wenxuan Liu, Yajing Zheng, Wenxin Huang, Zhaofei Yu, Tiejun Huang:
SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams. CoRR abs/2503.20315 (2025) - 2024
- [j132]Yuchen Hong, Yakun Chang, Jinxiu Liang, Lei Ma, Tiejun Huang, Boxin Shi:
Light Flickering Guided Reflection Removal. Int. J. Comput. Vis. 132(9): 3933-3953 (2024) - [j131]Mingyang Zhao, Xiaohong Jia, Lei Ma, Yuke Shi, Jingen Jiang, Qizhai Li, Dong-Ming Yan, Tiejun Huang:
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10106-10123 (2024) - [j130]Minggui Teng, Hanyue Lou, Yixin Yang, Tiejun Huang, Boxin Shi:
Hybrid All-in-Focus Imaging From Neuromorphic Focal Stack. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10124-10137 (2024) - [j129]Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang:
Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition. IEEE Trans. Cogn. Dev. Syst. 16(4): 1533-1545 (2024) - [j128]Rui Zhao, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Shuyuan Zhu, Lei Ma, Tiejun Huang:
Spike Camera Image Reconstruction Using Deep Spiking Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5207-5212 (2024) - [j127]Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects With Spike Camera. IEEE Trans. Circuits Syst. Video Technol. 34(7): 5856-5867 (2024) - [j126]Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang:
Learning a Deep Demosaicing Network for Spike Camera With Color Filter Array. IEEE Trans. Image Process. 33: 3634-3647 (2024) - [j125]Zhixuan Li, Weining Ye, Tingting Jiang, Tie-Jun Huang:
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation. IEEE Trans. Multim. 26: 3924-3936 (2024) - [c252]Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI 2024: 492-502 - [c251]Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. AAAI 2024: 637-645 - [c250]Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang:
Joint Demosaicing and Denoising for Spike Camera. AAAI 2024: 1582-1590 - [c249]Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang:
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images. AAAI 2024: 4847-4855 - [c248]Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. AAAI 2024: 7478-7486 - [c247]Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang:
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion. AAAI 2024: 7496-7504 - [c246]Luntian Mou, Peize Li, Wenjie Chen, Lei Ma, Tiejun Huang:
E/I Balanced Adaptive Sequential Neural Posterior Estimation for Inferring the Connection Weights in Mouse V1 Model. BIBM 2024: 1626-1629 - [c245]Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang:
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios. CVPR 2024: 2814-2823 - [c244]Muyang He, Shuo Yang, Tiejun Huang, Bo Zhao:
Large-scale Dataset Pruning with Dynamic Uncertainty. CVPR Workshops 2024: 7713-7722 - [c243]Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang:
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams. CVPR 2024: 24871-24880 - [c242]Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang:
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations. CVPR 2024: 24955-24965 - [c241]Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang:
Intensity-Robust Autofocus for Spike Camera. CVPR 2024: 25018-25027 - [c240]Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment. CVPR 2024: 25047-25057 - [c239]Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu, Bin Fan, Zhaojun Huang, Tiejun Huang, Boxin Shi:
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings. CVPR 2024: 25117-25127 - [c238]Meng Wang, Yuyao Huang, Henghui Ding, Xinlong Wang, Tiejun Huang, Yao Zhao, Yunchao Wei, Shuicheng Yan:
Region-Native Visual Tokenization. ECCV (74) 2024: 19-36 - [c237]Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tie-Jun Huang:
Learning to Robustly Reconstruct Dynamic Scenes from Low-Light Spike Streams. ECCV (17) 2024: 88-105 - [c236]Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang:
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR 2024 - [c235]Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang:
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model. ICLR 2024 - [c234]Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu:
Online Stabilization of Spiking Neural Networks. ICLR 2024 - [c233]Yijia Guo, Yuanxi Bai, Liwen Hu, Mianzhi Liu, Ziyi Guo, Lei Ma, Tiejun Huang:
Spike-NeRF: Neural Radiance Field Based On Spike Camera. ICME 2024: 1-6 - [c232]Liwen Hu, Lei Ma, Yijia Guo, Tiejun Huang:
SCSim: A Realistic Spike Cameras Simulator. ICME 2024: 1-6 - [c231]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
Robust Stable Spiking Neural Networks. ICML 2024 - [c230]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML 2024 - [c229]Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. ICRA 2024: 9109-9116 - [c228]Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, Tie-Jun Huang, Tingting Jiang:
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation. MICCAI (12) 2024: 731-741 - [c227]Yijia Guo, Yuanxi Bai, Liwen Hu, Ziyi Guo, Mianzhi Liu, Yu Cai, Tiejun Huang, Lei Ma:
PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting. ACM Multimedia 2024: 5112-5120 - [c226]Bo Xiong, Changqing Su, Zihan Lin, Yanqin Chen, You Zhou, Zhen Cheng, Zhaofei Yu, Tiejun Huang:
Real-time Parameter Evaluation of High-speed Microfluidic Droplets using Continuous Spike Streams. ACM Multimedia 2024: 6833-6841 - [c225]Jiyuan Zhang, Kang Chen, Shiyan Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion. ACM Multimedia 2024: 9194-9203 - [c224]Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. ACM Multimedia 2024: 9828-9836 - [c223]Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Towards High-performance Spiking Transformers from ANN to SNN Conversion. ACM Multimedia 2024: 10688-10697 - [c222]Bin Fan, Jiaoyang Yin, Yuchao Dai, Chao Xu, Tiejun Huang, Boxin Shi:
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras. NeurIPS 2024 - [c221]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. 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, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c220]Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams. NeurIPS 2024 - [c219]Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao:
SegVol: Universal and Interactive Volumetric Medical Image Segmentation. NeurIPS 2024 - [c218]Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. NeurIPS 2024 - [c217]Polina Turishcheva, Paul G. Fahey, Michaela Vystrcilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker:
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos. NeurIPS 2024 - [c216]Yajing Zheng, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang:
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation. NeurIPS 2024 - [c215]Wenjie Chen, Ming Li, Peize Li, Tiejun Huang:
Iterative Fine-Grained Genetic Algorithm for Inferring Connection Weights in Large-Scale Biophysical Mouse V1 Model. PRICAI (4) 2024: 397-409 - [c214]Luntian Mou, Peize Li, Haiwu Zhao, Qiang Fu, Hong Luo, Cong Liu, Nan Ma, Tie-Jun Huang, Wen Gao:
Flying Together with Audio and Video: Enhancing Communication for the Hearing-Impaired Through an Emerging Closed Captioning Standard. ICSR + InnoBiz 2024: 282-292 - [i93]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR abs/2401.05444 (2024) - [i92]Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tiejun Huang:
Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams. CoRR abs/2401.10461 (2024) - [i91]Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. CoRR abs/2402.00411 (2024) - [i90]Muyang He, Yexin Liu, Boya Wu, Jianhao Yuan, Yueze Wang, Tiejun Huang, Bo Zhao:
Efficient Multimodal Learning from Data-centric Perspective. CoRR abs/2402.11530 (2024) - [i89]Xuelin Qian, Yu Wang, Simian Luo, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue, Bo Zhao, Tiejun Huang, Yunsheng Wu, Yanwei Fu:
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability. CoRR abs/2402.12225 (2024) - [i88]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Noisy Spiking Actor Network for Exploration. CoRR abs/2403.04162 (2024) - [i87]Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams. CoRR abs/2403.09486 (2024) - [i86]Yijia Guo, Yuanxi Bai, Liwen Hu, Mianzhi Liu, Ziyi Guo, Lei Ma, Tiejun Huang:
Spike-NeRF: Neural Radiance Field Based On Spike Camera. CoRR abs/2403.16410 (2024) - [i85]Fan Bai, Yuxin Du, Tiejun Huang, Max Qinghu Meng, Bo Zhao:
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models. CoRR abs/2404.00578 (2024) - [i84]Gaole Dai, Zhenyu Wang, Qinwen Xu, Ming Lu, Wen Chen, Boxin Shi, Shanghang Zhang, Tie-Jun Huang:
SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera. CoRR abs/2404.06710 (2024) - [i83]Liwen Hu, Lei Ma, Yijia Guo, Tiejun Huang:
SCSim: A Realistic Spike Cameras Simulator. CoRR abs/2405.16790 (2024) - [i82]Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang:
Implicit Neural Image Field for Biological Microscopy Image Compression. CoRR abs/2405.19012 (2024) - [i81]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR abs/2405.20355 (2024) - [i80]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang:
Robust Stable Spiking Neural Networks. CoRR abs/2405.20694 (2024) - [i79]Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang:
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions. CoRR abs/2406.00383 (2024) - [i78]Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Shitao Xiao, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu:
MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding. CoRR abs/2406.04264 (2024) - [i77]Yijia Guo, Liwen Hu, Lei Ma, Tie-Jun Huang:
SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors. CoRR abs/2407.03771 (2024) - [i76]Jiyuan Zhang, Kang Chen, Shiyan Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu:
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion. CoRR abs/2407.10062 (2024) - [i75]Mingyang Zhao, Xiaohong Jia, Lei Ma, Yuke Shi, Jingen Jiang, Qizhai Li, Ming-Hsuan Yang, Tiejun Huang:
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting. CoRR abs/2407.19269 (2024) - [i74]Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen:
Multimodal Large Language Models for Bioimage Analysis. CoRR abs/2407.19778 (2024) - [i73]Yijia Guo, Yuanxi Bai, Liwen Hu, Ziyi Guo, Mianzhi Liu, Yu Cai, Tiejun Huang, Lei Ma:
PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting. CoRR abs/2408.03538 (2024) - [i72]Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, TieJun Huang, Tingting Jiang:
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation. CoRR abs/2408.14114 (2024) - [i71]Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang:
Discovering Long-Term Effects on Parameter Efficient Fine-tuning. CoRR abs/2409.06706 (2024) - [i70]Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. CoRR abs/2409.12507 (2024) - [i69]Yan Shu, Peitian Zhang, Zheng Liu, Minghao Qin, Junjie Zhou, Tie-Jun Huang, Bo Zhao:
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding. CoRR abs/2409.14485 (2024) - [i68]Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang:
Comprehensive Online Training and Deployment for Spiking Neural Networks. CoRR abs/2410.07547 (2024) - [i67]Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu:
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting. CoRR abs/2411.10504 (2024) - [i66]Yijia Guo, Wenkai Huang, Yang Li, Gaolei Li, Hang Zhang, Liwen Hu, Jianhua Li, Tiejun Huang, Lei Ma:
Splats in Splats: Embedding Invisible 3D Watermark within Gaussian Splatting. CoRR abs/2412.03121 (2024) - [i65]Enshen Zhou, Qi Su, Cheng Chi, Zhizheng Zhang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, He Wang:
Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection. CoRR abs/2412.04455 (2024) - [i64]Zecheng Hao, Zhaofei Yu, Tiejun Huang:
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation. CoRR abs/2412.13610 (2024) - 2023
- [j124]Ruohua Shi, Keyan Bi, Kai Du, Lei Ma, Fang Fang, Lingyu Duan, Tingting Jiang, Tie-Jun Huang:
PS-Net: human perception-guided segmentation network for EM cell membrane. Bioinform. 39(8) (2023) - [j123]Yichen Zhang, Kai Du, Tiejun Huang:
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation. Neural Comput. 35(4): 627-644 (2023) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang:
Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10254-10265 (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) - [c213]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI 2023: 11-21 - [c212]Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI 2023: 137-147 - [c211]Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. AAAI 2023: 350-358 - [c210]Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang:
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. AAAI 2023: 2910-2918 - [c209]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 - [c208]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 - [c207]Zhixuan Li, Ruohua Shi, Tiejun Huang, Tingting Jiang:
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation. ICASSP 2023: 1-5 - [c206]Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang:
MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario. ICCV 2023: 23447-23456 - [c205]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR 2023 - [c204]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 - [c203]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 - [c202]Junwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing High-Speed Moving Objects with Spike Camera. ACM Multimedia 2023: 7657-7665 - [c201]Dongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao:
HumVis: Human-Centric Visual Analysis System. ACM Multimedia 2023: 9396-9398 - [c200]Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams. NeurIPS 2023 - [c199]Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu:
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics. NeurIPS 2023 - [c198]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. NeurIPS 2023 - [c197]Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu:
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. NeurIPS 2023 - [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]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) - [c158]Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Retina-Like Visual Image Reconstruction via Spiking Neural Model. CVPR 2020: 1435-1443 - [c157]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 - [c156]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 - [c155]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 - [c154]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 - [c153]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 - [c152]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c151]Jing Zhao, Ruiqin Xiong, Tiejun Huang:
High-Speed Motion Scene Reconstruction for Spike Camera via Motion Aligned Filtering. ISCAS 2020: 1-5 - [c150]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 - [c149]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 - [c148]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [c147]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 - [c146]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 - [c145]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 - [c144]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) - [c143]Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification. AAAI 2019: 8618-8625 - [c142]Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao:
Pyramid Convolutional Network for Single Image Deraining. CVPR Workshops 2019: 9-16 - [c141]Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
Bi-Directional Cascade Network for Perceptual Edge Detection. CVPR 2019: 3828-3837 - [c140]Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals. DCC 2019: 568 - [c139]Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang:
Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. DCC 2019: 572 - [c138]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 - [c137]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 - [c136]Jing Zhao, Ruiqin Xiong, Jizheng Xu, Feng Wu, Tiejun Huang:
Learning a Deep Convolutional Network for Subband Image Denoising. ICME 2019: 1420-1425 - [c135]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-Inspired Sampling Method for Visual Texture Reconstruction. ICME 2019: 1432-1437 - [c134]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 - [c133]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 - [c132]Gengshuo Tian, Tiejun Huang, Si Wu:
Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing. SMC 2019: 249-252 - [c131]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]Ronggang Wang, Zhenyu Wang, Kui Fan, Tiejun Huang, Wenmin Wang, Ge Li, Wen Gao:
MPEG Internet Video Coding Standard and Its Performance Evaluation. IEEE Trans. Circuits Syst. Video Technol. 28(3): 719-733 (2018) - [j62]Shiqing Zhang, Shiliang Zhang, Tiejun Huang, Wen Gao, Qi Tian:
Learning Affective Features With a Hybrid Deep Model for Audio-Visual Emotion Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3030-3043 (2018) - [j61]Ling-Yu Duan, Wei Sun, Xinfeng Zhang, Shiqi Wang, Jie Chen, Jianxiong Yin, Simon See, Tiejun Huang, Alex C. Kot, Wen Gao:
Fast MPEG-CDVS Encoder With GPU-CPU Hybrid Computing. IEEE Trans. Image Process. 27(5): 2201-2216 (2018) - [j60]Shiqing Zhang, Shiliang Zhang, Tiejun Huang, Wen Gao:
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching. IEEE Trans. Multim. 20(6): 1576-1590 (2018) - [c130]Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao:
SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. AAAI 2018: 6951-6958 - [c129]Bing Li, Chia-Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, C.-C. Jay Kuo:
Depth-Aware Stereo Video Retargeting. CVPR 2018: 6517-6525 - [c128]Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Xianming Liu, Tiejun Huang, Wen Gao:
Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. DCC 2018: 97-106 - [c127]Zhichao Bi, Siwei Dong, Yonghong Tian, Tiejun Huang:
Spike Coding for Dynamic Vision Sensors. DCC 2018: 117-126 - [c126]Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Temporal Attentive Network for Action Recognition. ICME 2018: 1-6 - [c125]Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu:
Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. ICONIP (3) 2018: 506-514 - [c124]Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu:
Neural Information Processing in Hierarchical Prototypical Networks. ICONIP (3) 2018: 603-611 - [c123]Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian:
Cross-Domain Adversarial Feature Learning for Sketch Re-identification. ACM Multimedia 2018: 609-617 - [c122]Bing Li, Chia-Wen Lin, Shan Liu, Tiejun Huang, Wen Gao, C.-C. Jay Kuo:
Perceptual Temporal Incoherence Aware Stereo Video Retargeting. ACM Multimedia 2018: 1501-1509 - [c121]Ziqian Chen, Shiqi Wang, Dapeng Oliver Wu, Tiejun Huang, Ling-Yu Duan:
From Data to Knowledge: Deep Learning Model Compression, Transmission and Communication. ACM Multimedia 2018: 1625-1633 - [c120]Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Implementation of Bayesian Inference In Distributed Neural Networks. PDP 2018: 666-673 - [e1]Zhongzhi Shi, Cyriel M. A. Pennartz, Tiejun Huang:
Intelligence Science II - Third IFIP TC12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings. IFIP Advances in Information and Communication Technology 539, Springer 2018, ISBN 978-3-030-01312-7 [contents] - [i13]Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang:
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. CoRR abs/1806.05882 (2018) - [i12]Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR abs/1808.00675 (2018) - [i11]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR abs/1808.03958 (2018) - [i10]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. CoRR abs/1811.02290 (2018) - [i9]Jianing Li, Shiliang Zhang, Tiejun Huang:
Multi-scale 3D Convolution Network for Video Based Person Re-Identification. CoRR abs/1811.07468 (2018) - 2017
- [j59]Tiejun Huang:
Imitating the brain with neurocomputer a "new" way towards artificial general intelligence. Int. J. Autom. Comput. 14(5): 520-531 (2017) - [j58]Yuxin Peng, Wenwu Zhu, Yao Zhao, Changsheng Xu, Qingming Huang, Hanqing Lu, Qing-Hua Zheng, Tiejun Huang, Wen Gao:
Cross-media analysis and reasoning: advances and directions. Frontiers Inf. Technol. Electron. Eng. 18(1): 44-57 (2017) - [j57]Yonghong Tian, Xilin Chen, Hongkai Xiong, Hong-Liang Li, Li-Rong Dai, Jing Chen, Junliang Xing, Jing Chen, Xihong Wu, Weiming Hu, Yu Hu, Tiejun Huang, Wen Gao:
Towards human-like and transhuman perception in AI 2.0: a review. Frontiers Inf. Technol. Electron. Eng. 18(1): 58-67 (2017) - [j56]Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang:
Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos. IEEE Trans. Image Process. 26(12): 5743-5757 (2017) - [j55]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN. IEEE Trans. Multim. 19(7): 1510-1520 (2017) - [j54]Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao:
HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. IEEE Trans. Multim. 19(9): 1968-1983 (2017) - [j53]Zhiwei Fan, Tingting Jiang, Tiejun Huang:
Active Sampling Exploiting Reliable Informativeness for Subjective Image Quality Assessment Based on Pairwise Comparison. IEEE Trans. Multim. 19(12): 2720-2735 (2017) - [j52]Shu Fang, Jia Li, Yonghong Tian, Tiejun Huang, Xiaowu Chen:
Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1095-1108 (2017) - [c119]Shu Fang, Yang Yue, Liuyuan He, Kai Du, Yonghong Tian, Tiejun Huang:
Image Saliency Analysis Based on Retina Simulation. BigMM 2017: 142-145 - [c118]Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao:
Compact Deep Invariant Descriptors for Video Retrieval. DCC 2017: 420-429 - [c117]Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. DCC 2017: 437 - [c116]Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang:
Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles. ICCV 2017: 562-570 - [c115]Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang:
Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. ICCV 2017: 716-725 - [c114]Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot:
Deep regional feature pooling for video matching. ICIP 2017: 380-384 - [c113]Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang:
A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP 2017: 1117-1121 - [c112]Jiaying Yan, Yonghong Tian, Yaowei Wang, Siwei Dong, Tiejun Huang:
A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC. ICME Workshops 2017: 157-162 - [c111]Yan Em, Feng Gao, Yihang Lou, Shiqi Wang, Tiejun Huang, Ling-Yu Duan:
Incorporating intra-class variance to fine-grained visual recognition. ICME 2017: 1452-1457 - [c110]Feng Gao, Yihang Lou, Yan Bai, Shiqi Wang, Tiejun Huang, Ling-Yu Duan:
Improving object detection with region similarity learning. ICME 2017: 1488-1493 - [c109]Daiqian Ma, Feng Gao, Yan Bai, Yihang Lou, Shiqi Wang, Tiejun Huang, Ling-Yu Duan:
From Part to Whole: Who is Behind the Painting? ACM Multimedia 2017: 1174-1182 - [i8]Yan Bai, Feng Gao, Yihang Lou, Shiqi Wang, Tiejun Huang, Ling-Yu Duan:
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition. CoRR abs/1703.00196 (2017) - [i7]Feng Gao, Yihang Lou, Yan Bai, Shiqi Wang, Tiejun Huang, Ling-Yu Duan:
Improving Object Detection with Region Similarity Learning. CoRR abs/1703.00234 (2017) - [i6]Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex ChiChung Kot, Wen Gao:
Compact Descriptors for Video Analysis: the Emerging MPEG Standard. CoRR abs/1704.08141 (2017) - [i5]Lingyu Duan, Wei Sun, Xinfeng Zhang, Jie Chen, Jianxiong Yin, Simon See, Tiejun Huang, Alex C. Kot, Wen Gao:
Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing. CoRR abs/1705.09776 (2017) - [i4]Xiaobin Liu, Shiliang Zhang, Tiejun Huang, Qi Tian:
E$^2$BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network. CoRR abs/1709.05903 (2017) - 2016
- [j51]Wei Chen, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Fixed-point Gaussian Mixture Model for analysis-friendly surveillance video coding. Comput. Vis. Image Underst. 142: 65-79 (2016) - [j50]Jia Li, Yonghong Tian, Xiaowu Chen, Tiejun Huang:
Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation. Int. J. Comput. Vis. 120(1): 44-60 (2016) - [j49]Ronggang Wang, Tiejun Huang, Sanghyo Park, Jae-Gon Kim, Euee S. Jang, Cliff Reader, Wen Gao:
The MPEG Internet Video-Coding Standard [Standards in a Nutshell]. IEEE Signal Process. Mag. 33(5): 164-172 (2016) - [j48]Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao:
Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. 25(1): 179-194 (2016) - [c108]Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes. AAAI 2016: 1102-1108 - [c107]Mengyue Geng, Yaowei Wang, Yonghong Tian, Tiejun Huang:
CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning. BigMM 2016: 186-193 - [c106]Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang:
High-Efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation. BigMM 2016: 259-265 - [c105]Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian:
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016: 1306-1315 - [c104]Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, Tiejun Huang:
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles. CVPR 2016: 2167-2175 - [c103]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang:
Joint Learning of Semantic and Latent Attributes. ECCV (4) 2016: 336-353 - [c102]Zhaoliang Liu, Ling-Yu Duan, Jie Chen, Tiejun Huang:
Depth-based local feature selection for mobile visual search. ICIP 2016: 276-280 - [c101]Tiancheng Zhi, Ling-Yu Duan, Yitong Wang, Tiejun Huang:
Two-stage pooling of deep convolutional features for image retrieval. ICIP 2016: 2465-2469 - [c100]Zhe Wang, Ling-Yu Duan, Junsong Yuan, Tiejun Huang, Wen Gao:
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes. IJCAI 2016: 2181-2188 - [c99]Shiqing Zhang, Shiliang Zhang, Tiejun Huang, Wen Gao:
Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion Recognition. ICMR 2016: 281-284 - [c98]Ke Yan, Yaowei Wang, Dawei Liang, Tiejun Huang, Yonghong Tian:
CNN vs. SIFT for Image Retrieval: Alternative or Complementary? ACM Multimedia 2016: 407-411 - [c97]Yuan Li, Huizhu Jia, Xiaodong Xie, Tiejun Huang:
Rate control for consistent video quality with inter-dependent distortion model for HEVC. VCIP 2016: 1-4 - [i3]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. CoRR abs/1609.03056 (2016) - [i2]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Joint Network based Attention for Action Recognition. CoRR abs/1611.05215 (2016) - [i1]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing. CoRR abs/1611.05216 (2016) - 2015
- [j47]Yonghong Tian, Shu-Ching Chen, Mei-Ling Shyu, Tiejun Huang, Phillip C.-Y. Sheu, Alberto Del Bimbo:
Multimedia Big Data. IEEE Multim. 22(3): 93-95 (2015) - [j46]Yonghong Tian, Jia Li, Shui Yu, Tiejun Huang:
Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes. Int. J. Comput. Vis. 111(2): 153-170 (2015) - [j45]Jia Li, Ling-Yu Duan, Xiaowu Chen, Tiejun Huang, Yonghong Tian:
Finding the Secret of Image Saliency in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2428-2440 (2015) - [j44]Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang:
Robust multiple cameras pedestrian detection with multi-view Bayesian network. Pattern Recognit. 48(5): 1760-1772 (2015) - [j43]Jia Li, Shu Fang, Yonghong Tian, Tiejun Huang, Xiaowu Chen:
Image saliency estimation via random walk guided by informativeness and latent signal correlations. Signal Process. Image Commun. 38: 3-14 (2015) - [j42]Jie Chen, Ling-Yu Duan, Feng Gao, Jianfei Cai, Alex ChiChung Kot, Tiejun Huang:
A Low Complexity Interest Point Detector. IEEE Signal Process. Lett. 22(2): 172-176 (2015) - [j41]Siwei Ma, Tiejun Huang, Cliff Reader, Wen Gao:
AVS2 ? Making Video Coding Smarter [Standards in a Nutshell]. IEEE Signal Process. Mag. 32(2): 172-183 (2015) - [j40]Bing Li, Ling-Yu Duan, Chia-Wen Lin, Tiejun Huang, Wen Gao:
Depth-Preserving Warping for Stereo Image Retargeting. IEEE Trans. Image Process. 24(9): 2811-2826 (2015) - [j39]Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao:
Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. IEEE Trans. Multim. 17(6): 828-842 (2015) - [j38]Yonghong Tian, Mengren Qian, Tiejun Huang:
TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection. ACM Trans. Inf. Syst. 33(2): 7:1-7:34 (2015) - [c96]Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification. AAAI 2015: 1882-1888 - [c95]Yaowei Wang, Yonghong Tian, Limin Su, Xiaoyu Fang, Ziwei Xia, Tiejun Huang:
Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories. BigMM 2015: 128-135 - [c94]Siwei Dong, Yonghong Tian, Tiejun Huang:
Performance Evaluation for AVS2 Scene Video Coding Techniques. BigMM 2015: 411-414 - [c93]Siwei Ma, Tiejun Huang, Wen Gao:
The second generation IEEE 1857 video coding standard. ChinaSIP 2015: 171-175 - [c92]Ling-Yu Duan, Tiejun Huang, Wen Gao:
Overview of the MPEG CDVS Standard. DCC 2015: 323-332 - [c91]Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao:
Optimizing Binary Fisher Codes for Visual Search. DCC 2015: 475 - [c90]Zhangshuai Huang, Ling-Yu Duan, Jie Lin, Shiqi Wang, Siwei Ma, Tiejun Huang:
An efficient coding framework for compact descriptors extracted from video sequence. ICIP 2015: 3822-3826 - [c89]Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang:
Hierarchical multi-VLAD for image retrieval. ICIP 2015: 4629-4633 - [c88]Zhengying Chen, Yonghong Tian, Wei Zeng, Tiejun Huang:
Detecting abnormal behaviors in surveillance videos based on fuzzy clustering and multiple Auto-Encoders. ICME 2015: 1-6 - [c87]Yemin Shi, Wei Zeng, Tiejun Huang, Yaowei Wang:
Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks. ICME 2015: 1-6 - [c86]Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao:
Hamming Compatible Quantization for Hashing. IJCAI 2015: 2298-2304 - [c85]Joanna Batstone, Touradj Ebrahimi, Tiejun Huang, Yung-Hsiang Lu, Yonggang Wen:
Opportunities and Challenges of Global Network Cameras. ACM Multimedia 2015: 47-48 - 2014
- [j37]Wen Gao, Tiejun Huang, Cliff Reader, Weibei Dou, Xilin Chen:
IEEE Standards for Advanced Audio and Video Coding in Emerging Applications. Computer 47(5): 81-83 (2014) - [j36]Tiejun Huang, Siwei Dong, Yonghong Tian:
Representing Visual Objects in HEVC Coding Loop. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(1): 5-16 (2014) - [j35]Wen Gao, Yonghong Tian, Tiejun Huang, Siwei Ma, Xianguo Zhang:
The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems. IEEE Intell. Syst. 29(5): 30-39 (2014) - [j34]Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao:
Compact Descriptors for Visual Search. IEEE Multim. 21(3): 30-40 (2014) - [j33]Jia Li, Yonghong Tian, Tiejun Huang:
Visual Saliency with Statistical Priors. Int. J. Comput. Vis. 107(3): 239-253 (2014) - [j32]Qingjun Luo, Shiliang Zhang, Tiejun Huang, Wen Gao, Qi Tian:
Indexing heterogeneous features with superimages. Int. J. Multim. Inf. Retr. 3(4): 245-257 (2014) - [j31]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding. IEEE Trans. Image Process. 23(2): 769-784 (2014) - [j30]Rongrong Ji, Lingyu Duan, Jie Chen, Tiejun Huang, Wen Gao:
Mining Compact Bag-of-Patterns for Low Bit Rate Mobile Visual Search. IEEE Trans. Image Process. 23(7): 3099-3113 (2014) - [j29]Xianguo Zhang, Yonghong Tian, Tiejun Huang, Siwei Dong, Wen Gao:
Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling. IEEE Trans. Image Process. 23(10): 4511-4526 (2014) - [j28]Ling-Yu Duan, Rongrong Ji, Zhang Chen, Tiejun Huang, Wen Gao:
Towards Mobile Document Image Retrieval for Digital Library. IEEE Trans. Multim. 16(2): 346-359 (2014) - [c84]Qingjun Luo, Shiliang Zhang, Tiejun Huang, Wen Gao, Qi Tian:
Hybrid-Indexing Multi-type Features for Large-Scale Image Search. ACCV (1) 2014: 446-460 - [c83]Zhe Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao, Miroslaw Bober:
Component hashing of variable-length binary aggregated descriptors for fast image search. ICIP 2014: 2217-2221 - [c82]Yitong Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao:
Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search. ICIP 2014: 3978-3982 - [c81]Luntian Mou, Xilin Chen, Tiejun Huang, Wen Gao:
Overview of IEEE 1857.3: Systems of advanced audio and video coding. ICME Workshops 2014: 1-4 - [c80]Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Multi-view gait recognition with incomplete training data. ICME 2014: 1-6 - [c79]Long Zhao, Yonghong Tian, Tiejun Huang:
Background-foreground division based search for motion estimation in surveillance video coding. ICME 2014: 1-6 - [c78]Qingjun Luo, Shiliang Zhang, Tiejun Huang, Wen Gao, Qi Tian:
Superimage: Packing Semantic-Relevant Images for Indexing and Retrieval. ICMR 2014: 41 - 2013
- [j27]Ling-Yu Duan, Jie Chen, Rongrong Ji, Tiejun Huang, Wen Gao:
Learning Compact Visual Descriptors for Low Bit Rate Mobile Landmark Search. AI Mag. 34(2): 67-85 (2013) - [j26]Tiejun Huang, Yonghong Tian, Wen Gao:
IEEE 1857: Boosting Video Applications in CPSS. IEEE Intell. Syst. 28(5): 24-27 (2013) - [j25]Yonghong Tian, Tiejun Huang, Menglin Jiang, Wen Gao:
Video Copy-Detection and Localization with a Scalable Cascading Framework. IEEE Multim. 20(3): 72-86 (2013) - [j24]Ling-Yu Duan, Rongrong Ji, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao:
Learning from mobile contexts to minimize the mobile location search latency. Signal Process. Image Commun. 28(4): 368-385 (2013) - [j23]Jia Li, Yonghong Tian, Lingyu Duan, Tiejun Huang:
Estimating Visual Saliency Through Single Image Optimization. IEEE Signal Process. Lett. 20(9): 845-848 (2013) - [j22]Yonghong Tian, Yaowei Wang, Zhipeng Hu, Tiejun Huang:
Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1849-1864 (2013) - [j21]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Mingchao Geng, Siwei Ma, Wen Gao:
Fast and Efficient Transcoding Based on Low-Complexity Background Modeling and Adaptive Block Classification. IEEE Trans. Multim. 15(8): 1769-1785 (2013) - [j20]Luntian Mou, Tiejun Huang, Yonghong Tian, Menglin Jiang, Wen Gao:
Content-based copy detection through multimodal feature representation and temporal pyramid matching. ACM Trans. Multim. Comput. Commun. Appl. 10(1): 5:1-5:20 (2013) - [c77]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Hierarchical-and-Adaptive Bit-Allocation with Selective Background Prediction for High Efficiency Video Coding (HEVC). DCC 2013: 535 - [c76]Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Robust fisher codes for large scale image retrieval. ICASSP 2013: 1513-1517 - [c75]Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao:
On the interoperability of local descriptors compression. ICASSP 2013: 1518-1522 - [c74]Qingjun Luo, Shiliang Zhang, Tiejun Huang, Wen Gao, Qi Tian:
Scalable mobile search with binary phrase. ICIMCS 2013: 66-70 - [c73]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Overview of the IEEE 1857 surveillance groups. ICIP 2013: 1505-1509 - [c72]Shuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang:
A novel pair-wise image matching strategy with compact descriptors. ICIP 2013: 2572-2576 - [c71]Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian, Yaowei Wang, Tiejun Huang:
A system based on sequence learning for event detection in surveillance video. ICIP 2013: 3587-3591 - [c70]Chaoran Gu, Luntian Mou, Yonghong Tian, Tiejun Huang:
MPLBoost-based mixture model for effective human detection with Deformable Part Model. ICME 2013: 1-6 - [c69]Long Zhao, Xianguo Zhang, Yonghong Tian, Ronggang Wang, Tiejun Huang:
A background proportion adaptive Lagrange multiplier selection method for surveillance video on HEVC. ICME 2013: 1-6 - [c68]Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao:
Single underwater image enhancement with a new optical model. ISCAS 2013: 753-756 - [c67]Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang:
Compact descriptors for mobile visual search and MPEG CDVS standardization. ISCAS 2013: 885-888 - [c66]Peiyin Xing, Yonghong Tian, Tiejun Huang, Wen Gao:
Surveillance video coding with quadtree partition based ROI extraction. PCS 2013: 157-160 - [c65]Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Wavelet based smoke detection method with RGB Contrast-image and shape constrain. VCIP 2013: 1-6 - [c64]Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang:
A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos. VCIP 2013: 1-6 - [c63]Yucong Xuan, Lingyu Duan, Tiejun Huang:
A local shape descriptor for mobile linedrawing retrieval. VCIP 2013: 1-6 - 2012
- [j19]Jingjing Yang, Yonghong Tian, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Group-Sensitive Multiple Kernel Learning for Object Recognition. IEEE Trans. Image Process. 21(5): 2838-2852 (2012) - [c62]Lan Wei, Yonghong Tian, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang:
Automatic Webcam-Based Human Heart Rate Measurements Using Laplacian Eigenmap. ACCV (2) 2012: 281-292 - [c61]Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang:
An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera. AVSS 2012: 160-165 - [c60]Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang:
Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. AVSS 2012: 494-499 - [c59]Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. BMVC 2012: 1-12 - [c58]Bing Li, Ling-Yu Duan, Jie Lin, Tiejun Huang:
Allocating images and selecting image collections for distributed visual search. ICIMCS 2012: 127-131 - [c57]Mingchao Geng, Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang:
A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video. ICME 2012: 61-66 - [c56]Menglin Jiang, Yonghong Tian, Tiejun Huang:
Video Copy Detection Using a Soft Cascade of Multimodal Features. ICME 2012: 374-379 - [c55]Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao:
Macro-Block-Level Selective Background Difference Coding for Surveillance Video. ICME 2012: 1067-1072 - [c54]Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang:
Robust and discriminative image authentication based on standard model feature. ISCAS 2012: 1131-1134 - [c53]Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang:
An efficient surveillance coding method based on a timely and bit-saving background updating model. VCIP 2012: 1-6 - [c52]Ling-Yu Duan, Xiangkai Liu, Jie Chen, Tiejun Huang, Wen Gao:
Optimizing JPEG quantization table for low bit rate mobile visual search. VCIP 2012: 1-6 - [c51]Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao:
Low-complexity and high-efficiency background modeling for surveillance video coding. VCIP 2012: 1-6 - 2011
- [j18]Tiejun Huang, Yonghong Tian, Jia Li, Haonan Yu:
Salient region detection and segmentation for general object recognition and image understanding. Sci. China Inf. Sci. 54(12): 2461-2470 (2011) - [j17]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Multi-Task Rank Learning for Visual Saliency Estimation. IEEE Trans. Circuits Syst. Video Technol. 21(5): 623-636 (2011) - [c50]Luntian Mou, Tiejun Huang, Yonghong Tian, Shiguo Lian, Xilin Chen:
Robust and discriminative image authentication based on sparse coding. CCNC 2011: 323-326 - [c49]Yonghong Tian, Tiejun Huang, Wen Gao:
iULib: where UDL and Wikipedia could meet. Imaging and Printing in a Web 2.0 World 2011: 78790G - [c48]Zhang Chen, Ling-Yu Duan, Chunyu Wang, Tiejun Huang, Wen Gao:
Generating vocabulary for global feature representation towards commerce image retrieval. ICIP 2011: 105-108 - [c47]Rongrong Ji, Ling-Yu Duan, Jie Chen, Shuang Yang, Hongxun Yao, Tiejun Huang, Wen Gao:
Learning the trip suggestion from landmark photos on the web. ICIP 2011: 2485-2488 - [c46]Rongrong Ji, Ling-Yu Duan, Jie Chen, Shuang Yang, Tiejun Huang, Hongxun Yao, Wen Gao:
PKUBench: A context rich mobile visual search benchmark. ICIP 2011: 2545-2548 - [c45]Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Selective eigenbackgrounds method for background subtraction in crowed scenes. ICIP 2011: 3277-3280 - [c44]Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang:
A multimodal video copy detection approach with sequential pyramid matching. ICIP 2011: 3629-3632 - [c43]Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao:
Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search. IJCAI 2011: 2456-2463 - [c42]Jun Fan, Tiejun Huang:
A Fusion of Algorithms in Near Duplicate Document Detection. PAKDD Workshops 2011: 234-242 - [c41]Menglin Jiang, Shu Fang, Yonghong Tian, Tiejun Huang, Wen Gao:
PKU-IDM @TRECVID2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. TRECVID 2011 - 2010
- [j16]Yonghong Tian, Jaideep Srivastava, Tiejun Huang, Noshir S. Contractor:
Social Multimedia Computing. Computer 43(8): 27-36 (2010) - [j15]Tiejun Huang, Yonghong Tian, Wen Gao, Jian Lu:
Mediaprinting: Identifying Multimedia Content for Digital Rights Management. Computer 43(12): 28-35 (2010) - [j14]Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang:
Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv. 42(4): 15:1-15:57 (2010) - [j13]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video. Int. J. Comput. Vis. 90(2): 150-165 (2010) - [j12]Jia Li, Han-nan Yu, Yonghong Tian, Tiejun Huang, Wen Gao:
Salient object extraction for user-targeted video content association. J. Zhejiang Univ. Sci. C 11(11): 850-859 (2010) - [j11]Ya-li Cao, Tiejun Huang, Yonghong Tian:
A ranking SVM based fusion model for cross-media meta-search engine. J. Zhejiang Univ. Sci. C 11(11): 903-910 (2010) - [j10]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation. IEEE Signal Process. Lett. 17(6): 591-594 (2010) - [j9]Yuanning Li, Yonghong Tian, Ling-Yu Duan, Jingjing Yang, Tiejun Huang, Wen Gao:
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context. IEEE Trans. Multim. 12(8): 814-828 (2010) - [c40]Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang:
Automatic interesting object extraction from images using complementary saliency maps. ACM Multimedia 2010: 891-894 - [c39]Min Wang, Jia Li, Tiejun Huang, Yonghong Tian, Lingyu Duan, Guochen Jia:
Saliency detection based on 2D log-gabor wavelets and center bias. ACM Multimedia 2010: 979-982 - [c38]Guochen Jia, Yonghong Tian, Yaowei Wang, Tiejun Huang, Min Wang:
Dynamic multi-cue tracking with detection responses association. ACM Multimedia 2010: 1171-1174 - [c37]Xianguo Zhang, Luhong Liang, Qian Huang, Tiejun Huang, Wen Gao:
A background model based method for transcoding surveillance videos captured by stationary camera. PCS 2010: 78-81 - [c36]Kaihua Jiang, Guangcheng Zhang, Xihong Wu, Zhipeng Hu, Guochen Jia, Teng Xu, Yaowei Wang, Yonghong Tian, Wen Gao, Zhongwei Chen, Qiong Hu, Lei Qin, Yuanning Li, Luntian Mou, Chi Su, Xiaoyu Fang, Mengren Qian, Menglin Jiang, Tiejun Huang:
PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video. TRECVID 2010 - [c35]Xianguo Zhang, Luhong Liang, Qian Huang, Yazhou Liu, Tiejun Huang, Wen Gao:
An efficient coding scheme for surveillance videos captured by stationary cameras. VCIP 2010: 77442A
2000 – 2009
- 2009
- [j8]Dandan Ding, Honggang Qi, Lu Yu, Tiejun Huang, Wen Gao:
Reconfigurable video coding framework and decoder reconfiguration instantiation of AVS. Signal Process. Image Commun. 24(4): 287-299 (2009) - [j7]Luntian Mou, Tiejun Huang, Longshe Huo, Weiping Li, Wen Gao, Xilin Chen:
A secure media streaming mechanism combining encryption, authentication, and transcoding. Signal Process. Image Commun. 24(10): 825-833 (2009) - [c34]Xing Su, Tiejun Huang, Wen Gao:
Robust video fingerprinting based on visual attention regions. ICASSP 2009: 1525-1528 - [c33]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
A dataset and evaluation methodology for visual saliency in video. ICME 2009: 442-445 - [c32]Xinghua Yu, Tiejun Huang:
A SIFT-based Image Fingerprinting Approach Robust to Geometric Transformations. ISCAS 2009: 1665-1668 - [c31]Dandan Ding, Honggang Qi, Lu Yu, Tiejun Huang, Wen Gao:
A Proposed AVS Decoder Configuration in the Reconfigurable Video Coding Framework. ISCAS 2009: 1934 - [c30]Rong Yang, Yonghong Tian, Tiejun Huang:
DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion. PCM 2009: 797-806 - [p2]Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao:
Content-Based Video Semantic Analysis. Semantic Mining Technologies for Multimedia Databases 2009: 211-235 - [p1]Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao:
Semantic Classification and Annotation of Images. Semantic Mining Technologies for Multimedia Databases 2009: 350-377 - 2008
- [c29]Filippo Chiariglione, Tiejun Huang, Hyon-Gon Choo:
Streaming of Governed Content - Time for a Standard. CCNC 2008: 1080-1084 - [c28]Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao:
Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. CLEF 2008: 763-770 - [c27]Zhi Zhou, Yonghong Tian, Yuanning Li, Ting Liu, Tiejun Huang, Wen Gao:
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. CLEF (Working Notes) 2008 - [c26]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Multi-polarity text segmentation using graph theory. ICIP 2008: 3008-3011 - [c25]Xinghua Yu, Tiejun Huang:
An Image Fingerprinting Method Robust to Complicated Image Modifications. IIH-MSP 2008: 227-230 - [c24]Xiaocong Zhou, Jianping Chen, Tiejun Huang:
A Scene Representation Application Implementing LASeR Using Object-Based Timing Model. PCM 2008: 830-833 - [c23]Jianping Chen, Tiejun Huang:
A Robust Feature Extraction Algorithm for Audio Fingerprinting. PCM 2008: 887-890 - 2007
- [c22]Xiaoyun Liu, Tiejun Huang, Longshe Huo, Luntian Mou:
A DRM Architecture for Manageable P2P Based IPTV System. ICME 2007: 899-902 - [c21]Xiaofan Chen, Tiejun Huang:
Interoperability Issues in DRM and DMP Solutions. ICME 2007: 907-910 - [c20]Juan Lan, Tie-Jun Huang, Junhua Qu:
A Perception-based Scalable Encryption Model for AVS Audio. ICME 2007: 1778-1781 - [c19]Tiejun Huang:
Evolvement of DRM Schema: From Encryption to Interoperability and Monitoring. MCAM 2007: 65-75 - [c18]Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang:
Towards multi-granularity multi-facet e-book retrieval. WWW 2007: 1331-1332 - 2006
- [j6]Yongliang Liu, Wen Gao, Hongxun Yao, Tiejun Huang:
Security on Aydos et al's Elliptic Curve Cryptography Based Wireless Authentication Protocol. J. Comput. Res. Dev. 43(12): 2076-2081 (2006) - [j5]Yonghong Tian, Tiejun Huang, Wen Gao:
Latent linkage semantic kernels for collective classification of link data. J. Intell. Inf. Syst. 26(3): 269-301 (2006) - [j4]YuanZhi Zou, Tiejun Huang, Wen Gao, Longshe Huo:
H.264 video encryption scheme adaptive to DRM. IEEE Trans. Consumer Electron. 52(4): 1289-1297 (2006) - [j3]Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao:
Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006) - [c17]Yonghong Tian, Tiejun Huang, Wen Gao:
Robust Collective Classification with Contextual Dependency Network Models. ADMA 2006: 173-180 - [c16]Chong Huang, Yonghong Tian, Tiejun Huang, Wen Gao:
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. ADMA 2006: 636-643 - [c15]Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang:
Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284 - [c14]Kai Song, Yonghong Tian, Wen Gao, Tiejun Huang:
Diversifying the image retrieval results. ACM Multimedia 2006: 707-710 - [c13]Kai Song, Yonghong Tian, Tiejun Huang:
Improving the Image Retrieval Results Via Topic Coverage Graph. PCM 2006: 193-200 - 2005
- [j2]Shuqiang Jiang, Jun Du, Qingming Huang, Tie-Jun Huang, Wen Gao:
Visual Ontology Construction for Digitized Art Image Retrieval. J. Comput. Sci. Technol. 20(6): 855-860 (2005) - [c12]Yongliang Liu, Xiaolin Yang, Hongxun Yao, Tiejun Huang, Wen Gao:
Watermark Detection Schemes with High Security. ITCC (2) 2005: 113-117 - 2004
- [j1]Yonghong Tian, Tiejun Huang, Wen Gao:
Two-phase Web site classification based on Hidden Markov Tree models. Web Intell. Agent Syst. 2(4): 249-264 (2004) - [c11]Yonghong Tian, Wen Gao, Tiejun Huang:
Context-Based Classification for Link Data. ICWL 2004: 233-240 - [c10]Shuqiang Jiang, Qixiang Ye, Wen Gao, Tiejun Huang:
A new method to segment playfield and its applications in match analysis in sports video. ACM Multimedia 2004: 292-295 - [c9]Shuqiang Jiang, Tiejun Huang:
Categorizing Traditional Chinese Painting Images. PCM (1) 2004: 1-8 - [c8]Shuqiang Jiang, Tiejun Huang, Wen Gao:
An Ontology-based Approach to Retrieve Digitized Art Images. Web Intelligence 2004: 131-137 - 2003
- [c7]Yonghong Tian, Tie-Jun Huang, Wen Gao, Jun Cheng, PingBo Kang:
Two-Phase Web Site Classification Based on Hidden Markov Tree Models. Web Intelligence 2003: 227-234 - 2002
- [c6]Jun Cheng, Wen Gao, Bin Liu, Tie-jun Huang, Ling Zhang:
A Cache-Based Distributed Terabyte Text Retrieval System in CADAL. ICADL 2002: 352-353 - [c5]Bin Liu, Wen Gao, Ling Zhang, Tie-jun Huang, Xiao-Ming Zhang, Jun Cheng:
Toward a distributed terabyte text retrieval system in China-US million book digital library. JCDL 2002: 336-337 - [c4]Yonghong Tian, TieJun Huang, Wen Gao:
Quantitatively evaluating the influence of online social interactions in the community-assisted digital library. JCDL 2002: 409 - [c3]Laiyun Qing, Weiqiang Wang, Tiejun Huang, Wen Gao:
A Framework for Background Detection in Video. IEEE Pacific Rim Conference on Multimedia 2002: 799-805 - 2000
- [c2]Shi Wang, Wen Gao, Tiejun Huang, Jiyong Ma, Jintao Li, Hui Xie:
Adaptive Online Retail Web Site Based on Hidden Markov Model. Web-Age Information Management 2000: 177-188 - [c1]Shi Wang, Wen Gao, Jintao Li, Tiejun Huang, Hui Xie:
Web Clustering and Association Rule Discovery for Web Broadcast. Web-Age Information Management 2000: 227-232
Coauthor Index
Ling-Yu Duan
aka: Lingyu Duan
aka: Lingyu Duan
[c249] [c228] [i72] [j124] [j88] [j76] [i29] [j74] [j70] [j61] [c121] [j54] [c118] [c114] [c113] [c111] [c110] [c109] [i8] [i7] [i6] [i5] [j48] [c108] [c102] [c101] [c100] [j45] [j42] [j40] [j39] [c92] [c91] [c90] [c89] [c86] [j34] [j30] [j28] [c83] [c82] [j27] [j24] [j23] [c76] [c75] [c72] [c67] [c63] [j19] [c58] [c52] [c48] [c47] [c46] [c43] [j9] [c39]
[c214] [j117] [j111] [c201] [j110] [j99] [j88] [j78] [j77] [j76] [c145] [i29] [j74] [j70] [c142] [c134] [j67] [j63] [j62] [j61] [j60] [c130] [c129] [c128] [c122] [j58] [j57] [j54] [c118] [i6] [i5] [j49] [j48] [c108] [c100] [c99] [j41] [j40] [j39] [c93] [c92] [c91] [c86] [j37] [j35] [j34] [j32] [j31] [j30] [j29] [j28] [c84] [c83] [c82] [c81] [c78] [j27] [j26] [j25] [j24] [j21] [j20] [c77] [c76] [c75] [c74] [c73] [c68] [c66] [j19] [c55] [c52] [c51] [j17] [c49] [c48] [c47] [c46] [c43] [c41] [j15] [j14] [j13] [j12] [j10] [j9] [c37] [c36] [c35] [j8] [j7] [c34] [c33] [c31] [p2] [p1] [c28] [c27] [c26] [j6] [j5] [j4] [j3] [c17] [c16] [c14] [j2] [c12] [j1] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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