default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJun Li 0027
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, Nanjing, China
- affiliation (2015 - 2018): Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- affiliation (PhD 2015): Nanjing University of Science and Technology, School of Computer Science and Technology, China
Other persons with the same name
- Jun Li — disambiguation page
- Jun Li 0001
![[0000-0002-5308-5672]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5308-5672")
— University of Oregon, Eugene, OR, USA (and 1 more) - Jun Li 0002 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China (and 1 more)
- Jun Li 0003 — Tsinghua University, RIIT / TNList, Beijing, China
- Jun Li 0004 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China (and 5 more)
- Jun Li 0005 — Institute for Infocomm Research, Singapore (and 1 more)
- Jun Li 0006 — Communications Research Centre Canada
- Jun Li 0007 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China (and 1 more)
- Jun Li 0008 — eBay, USA (and 1 more)
- Jun Li 0009 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China (and 2 more)
- Jun Li 0010 — Elephant Tech LLC, Shenzhen, China (and 2 more)
- Jun Li 0011 — Southeast University, School of Automation, Nanjing, China (and 3 more)
- Jun Li 0012 — China West Normal University, School of Mathematics and Information, Nanchong, China
- Jun Li 0013 — University of Cambridge, Department of Land Economy, Cambridge, UK
- Jun Li 0014 — Communication University of China, School of Science, Beijing, China (and 2 more)
- Jun Li 0015 — YINGDATAIHE Property Insurance Co., LTD, Beijing, China (and 2 more)
- Jun Li 0016 — State Grid Energy Research Institute, Beijing, China (and 2 more)
- Jun Li 0017 — City University of New York, Queens College, Department of Computer Science, NY, USA (and 3 more)
- Jun Li 0019 — Zhejiang Wanli University, Department of Telecommunications, Ningbo, China (and 1 more)
- Jun Li 0020 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Jun Li 0021 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 1 more)
- Jun Li 0022 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jun Li 0023 — University of California Riverside, Department of Statistics, CA, USA (and 1 more)
- Jun Li 0024 — University of California, San Diego
- Jun Li 0025 — University of Hertfordshire, UK
- Jun Li 0026 — University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, USA
- Jun Li 0028 — Huawei Technologies Co., Ltd., Qingshuihe, Shenzhen, China
- Jun Li 0030 — Kansas State University, Department of Chemistry, Manhattan, KS, USA (and 1 more)
- Jun Li 0032 — Huawei Technologies Company, Ltd., Wuhan, China (and 1 more)
- Jun Li 0033 — Southeast University, School of Automation, Nanjing, China (and 1 more)
- Jun Li 0034 — Rutgers University, WINLAB, New Brunswick, NJ, USA
- Jun Li 0035 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China (and 2 more)
- Jun Li 0036 — Guangzhou University, School of Mechanical and Electrical Engineering, China (and 1 more)
- Jun Li 0037 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Jun Li 0038 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Jun Li 0039 — China Electronics Technology Group Corporation, Second Research Institute, Taiyuan, China
- Jun Li 0040 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
- Jun Li 0041 — Philips Research North America, Cambridge, MA, USA
- Jun Li 0042 — National University of Defense Technology, School of Computer Science, China (and 1 more)
- Jun Li 0043 — Chinese Academy of Sciences, Haixi Institute, Quanzhou Institute of Equipment Manufacturing, Quanzhou, China (and 1 more)
- Jun Li 0045 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Jun Li 0046 — Jiangsu Yitong High-tech Co., Ltd., China
- Jun Li 0047 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Jun Li 0048 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jun Li 0049 — University of Michigan, Ross School of Business, Ann Arbor, MI, USA (and 1 more)
- Jun Li 0050 — China Industrial Control Systems Cyber Emergency Response Team, Informatization Standard Research Division, Beijing, China (and 1 more)
- Jun Li 0051 — City University of Hong Kong, Department of Infectious Diseases and Public Health, Hong Kong (and 2 more)
- Jun Li 0052 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Jun Li 0053 — Curtin University, Department of Civil Engineering, Perth, WA, Australia (and 1 more)
- Jun Li 0054 — Lanzhou University of Technology, School of Science, China
- Jun Li 0055 — Tsinghua University, Department of Chemistry, Beijing, China (and 3 more)
- Jun Li 0056 — Wuhan University of Technology, School of Logistics Engineering, China
- Jun Li 0057 — University of Science and Technology of China, Laboratory for Future Networks, Hefei, China
- Jun Li 0058 — University of Science and Technology of China, School of Management, Hefei, China
- Jun Li 0059 — KTH Royal Institute of Technology, Optical Networks Laboratory, Stockholm, Sweden
- Jun Li 0060 — Xinxiang Medical University, Modern Educational Technology Center, China
- Jun Li 0061 — Wenzhou University, School of Mathematical and Electronic Information Engineering, China
- Jun Li 0062 — Southwest University, College of Computer and Information Science, Chongqing, China
- Jun Li 0063 — Guilin University of Electronic Technology, School of Information and Communication, China
- Jun Li 0064 — Shanghai Maritime University, Institute of Logistics Science & Engineering, China
- Jun Li 0065 — Nanjing University of Information Science and Technology, Binjiang College, Wuxi, China (and 3 more)
- Jun Li 0066 — University of Arizona Tucson, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Jun Li 0067 — Wuhan University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Jun Li 0068 — University of Texas, MD Anderson Cancer Center, Houston, TX, USA (and 1 more)
- Jun Li 0069 — Chang'an University, School of Geological Engineering and Geomatics, Xi'an, China
- Jun Li 0070 — Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, China
- Jun Li 0071 — Hunan University, Changsha, China
- Jun Li 0072 — Capital Normal University, Information Engineering College, Beijing, China (and 1 more)
- Jun Li 0073 — Tianjin Normal University, School of Mathematics, China
- Jun Li 0074 — Qilu University of Technology (Shandong Academy of Sciences), School of Electrical Engineering and Automation, Jinan, China (and 1 more)
- Jun Li 0075 — Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China (and 1 more)
- Jun Li 0076 — Beijing Information Science and Technology University, China (and 1 more)
- Jun Li 0077 — Hubei Minzu University, School of Information Engineering, Enshi, China
- Jun Li 0078 — Ningbo University of Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jun Li 0079 — Wuhan University, School of Electrical Engineering and Automation, China (and 1 more)
- Jun Li 0080 — South China Normal University, School of Physics and Telecommunication Engineering, Guangzhou, China
- Jun Li 0081 — Lakehead University, Thunder Bay, ON, Canada
- Jun Li 0082 — Tsinghua University, State Key Laboratory of Automotive Safety and Energy, Beijing, China (and 2 more)
- Jun Li 0084 — Central South University, School of Computer Science and Engineering, Changsha, China
- Jun Li 0085 — Chinese Academy of Sciences, Institute Information of Engineering, Beijing, China (and 1 more)
- Jun Li 0086 — Xidian University, School of Electro-Mechanical Engineering, Xi'an, China
- Jun Li 0087 — Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China
- Jun Li 0088 — Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, Harbin, China
- Jun Li 0089 — South China Agricultural University, College of Engineering, Guangzhou, China
- Jun Li 0090 — Nanjing University of Science and Technology, School of Automation, Nanjing, China
- Jun Li 0091 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, New York, NY, USA
- Jun Li 0092 — King Fahd University of Petroleum & Minerals, Center for Integrative Petroleum Research, Saudi Arabia (and 1 more)
- Jun Li 0093 — University of South Australia, UniSA STEM, Mawson Lakes, Australia
- Jun Li 0094 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Jun Li 0095 — Xidian University, School of Cyber Engineering, Xi'an, China
- Jun Li 0096 — Sun Yat-sen University, School of International Relations, Guangzhou, China (and 1 more)
- Jun Li 0097 — University of Essex, Business School, Essex, UK
- Jun Li 0098 — Fudan University, IICS Lab, Shanghai, China (and 3 more)
- Jun Li 0099 — Second Affiliated Hospital of Zhejiang University Medical School, Department of Surgical Oncology, Hangzhou, China
- Jun Li 0100 — China West Normal University, Institute of Education, Department of Psychology, Nanchong, China
- Jun Li 0101 — University of Virginia, Department of Anesthesiology, Charlottesville, VA, USA
- Jun Li 0102 — Shanghai Tech University, School of Information Science and Technology, Shanghai, China
- Jun Li 0103 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Jun Li 0104 — Chinese Academy of Sciences, Institute of Microelectronics, System Packaging and Integration Research Center, Beijing, China
- Jun Li 0105 — Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j33]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6454-6470 (2024)- [j32]Xiaobo Chen, Shilin Zhang, Jun Li, Jian Yang:
Pedestrian Crossing Intention Prediction Based on Cross-Modal Transformer and Uncertainty-Aware Multi-Task Learning for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(9): 12538-12549 (2024) - [j31]Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Guangyu Li, Jun Li, Jian Yang:
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5616-5626 (2024) - [j30]Zhiqiang Yan, Yupeng Zheng, Deng-Ping Fan, Xiang Li, Jun Li, Jian Yang:
Learnable differencing center for nighttime depth perception. Vis. Intell. 2(1): 15 (2024) - [c48]Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang:
Tri-Perspective view Decomposition for Geometry-Aware Depth Completion. CVPR 2024: 4874-4884 - [c47]Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang:
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. CVPR 2024: 26109-26119 - [c46]Chaoqun Gong, Yuqin Dai, Ronghui Li, Achun Bao, Jun Li, Jian Yang, Yachao Zhang, Xiu Li:
Text2Avatar: Text to 3d Human Avatar Generation with Codebook-Driven Body Controllable Attribute. ICASSP 2024: 16-20 - [c45]Ronghui Li, Yuqin Dai, Yachao Zhang, Jun Li, Jian Yang, Jie Guo, Xiu Li:
Exploring Multi-Modal Control in Music-Driven Dance Generation. ICASSP 2024: 8281-8285 - [i40]Chaoqun Gong, Yuqin Dai, Ronghui Li, Achun Bao, Jun Li, Jian Yang, Yachao Zhang, Xiu Li:
Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute. CoRR abs/2401.00711 (2024) - [i39]Ronghui Li, Yuqin Dai, Yachao Zhang, Jun Li, Jian Yang, Jie Guo, Xiu Li:
Exploring Multi-Modal Control in Music-Driven Dance Generation. CoRR abs/2401.01382 (2024) - [i38]Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Xiu Li, Jun Li, Jian Yang:
Harmonious Group Choreography with Trajectory-Controllable Diffusion. CoRR abs/2403.06189 (2024) - [i37]Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang:
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion. CoRR abs/2403.15008 (2024) - [i36]Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang:
Diff-Reg v1: Diffusion Matching Model for Registration Problem. CoRR abs/2403.19919 (2024) - [i35]Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang:
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. CoRR abs/2405.09996 (2024) - [i34]Renke Wang, Meng Zhang, Jun Li, Jian Yang:
Garment Animation NeRF with Color Editing. CoRR abs/2407.19774 (2024) - 2023
- [j29]Chuanwei Zhou, Chunyan Xu, Jun Li, Zhen Cui, Jian Yang:
Quality-aware pattern diffusion for video object segmentation. Neurocomputing 528: 148-159 (2023) - [j28]Yesong Xu, Shuo Chen, Jun Li, Chunyan Xu, Jian Yang:
Fast subspace clustering by learning projective block diagonal representation. Pattern Recognit. 135: 109152 (2023) - [j27]Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu:
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2670-2681 (2023) - [j26]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4440-4450 (2023) - [j25]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6955-6967 (2023) - [c44]Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang:
Curriculum Temperature for Knowledge Distillation. AAAI 2023: 1504-1512 - [c43]Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. AAAI 2023: 3109-3117 - [c42]Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Recurrent Structure Attention Guidance for Depth Super-resolution. AAAI 2023: 3331-3339 - [c41]Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Structure Flow-Guided Network for Real Depth Super-resolution. AAAI 2023: 3340-3348 - [c40]Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang:
Creative Birds: Self-Supervised Single-View 3D Style Transfer. ICCV 2023: 8741-8750 - [c39]Fei Guo, Junkai Fan, Jun Li, Jian Yang:
Enhanced Frequency Information for Image Dehazing. ICIG (1) 2023: 216-228 - [c38]Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang:
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion. ICML 2023: 39099-39109 - [c37]Jun Li, Guangyu Li, Haobo Jiang, Weili Guo, Chen Gong:
An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection. ICONIP (6) 2023: 252-263 - [c36]Haibo Chen, Lei Zhao, Jun Li, Jian Yang:
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer. ACM Multimedia 2023: 6878-6887 - [c35]Jun Li, Ning Ding, Chen Gong, Zhong Jin, Guangyu Li:
Effective Small Ship Detection with Enhanced-YOLOv7. PRCV (10) 2023: 249-260 - [i33]Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Structure Flow-Guided Network for Real Depth Super-Resolution. CoRR abs/2301.13416 (2023) - [i32]Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Recurrent Structure Attention Guidance for Depth Super-Resolution. CoRR abs/2301.13419 (2023) - [i31]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR abs/2302.09886 (2023) - [i30]Junkai Fan, Fei Guo, Jianjun Qian, Xiang Li, Jun Li, Jian Yang:
Non-aligned supervision for Real Image Dehazing. CoRR abs/2303.04940 (2023) - [i29]Kun Wang, Zhiqiang Yan, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang:
Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image. CoRR abs/2306.05145 (2023) - [i28]Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang:
Learnable Differencing Center for Nighttime Depth Perception. CoRR abs/2306.14538 (2023) - [i27]Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang:
Creative Birds: Self-Supervised Single-View 3D Style Transfer. CoRR abs/2307.14127 (2023) - [i26]Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang:
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. CoRR abs/2308.10001 (2023) - [i25]Zhiqiang Yan, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
RigNet++: Efficient Repetitive Image Guided Network for Depth Completion. CoRR abs/2309.00655 (2023) - [i24]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. CoRR abs/2309.04430 (2023) - [i23]Haibo Chen, Lei Zhao, Jun Li, Jian Yang:
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer. CoRR abs/2309.06004 (2023) - 2022
- [j24]Wei Zheng, Shuo Chen, Zhenyong Fu, Jun Li, Jian Yang:
Streaming feature selection via graph diffusion. Inf. Sci. 618: 150-168 (2022) - [j23]Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li:
Fast Multi-View Outlier Detection via Deep Encoder. IEEE Trans. Big Data 8(4): 1047-1058 (2022) - [j22]Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang:
Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. IEEE Trans. Cybern. 52(6): 5408-5418 (2022) - [j21]Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu:
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. IEEE Trans. Cybern. 52(9): 9090-9100 (2022) - [j20]Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang:
Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j19]Hao Chen, Yangzhun Zhou, Jun Li, Xiu-Shen Wei, Liang Xiao:
Self-Supervised Multi-Category Counting Networks for Automatic Check-Out. IEEE Trans. Image Process. 31: 3004-3016 (2022) - [j18]Jiaxin Chen, Xiang Li, Jin Xie, Jun Li, Jianjun Qian, Jian Yang:
CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection. IEEE Trans. Intell. Transp. Syst. 23(12): 23124-23135 (2022) - [j17]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1119-1133 (2022) - [j16]Shuhui Jiang, Jun Li, Yun Fu:
Deep Learning for Fashion Style Generation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4538-4550 (2022) - [c34]Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian:
Linearity-Aware Subspace Clustering. AAAI 2022: 8770-8778 - [c33]Jingyi Mu, Yong Li, Jun Li, Jian Yang:
Learning Clothes-irrelevant Cues for Clothes-Changing Person Re-identification. BMVC 2022: 337 - [c32]Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang:
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CVPR 2022: 7824-7833 - [c31]Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
RigNet: Repetitive Image Guided Network for Depth Completion. ECCV (27) 2022: 214-230 - [c30]Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang:
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion. ECCV (1) 2022: 378-395 - [c29]Huang Tian, Xiang Li, Lingfeng Yang, Jun Li, Jian Yang, Weidong Du:
PPT: Anomaly Detection Dataset of Printed Products with Templates. ICIP 2022: 506-510 - [c28]Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS 2022 - [i22]Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang:
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion. CoRR abs/2203.09855 (2022) - [i21]Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang:
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CoRR abs/2203.12835 (2022) - [i20]Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. CoRR abs/2211.10994 (2022) - [i19]Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang:
Curriculum Temperature for Knowledge Distillation. CoRR abs/2211.16231 (2022) - 2021
- [j15]Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang:
Learnable low-rank latent dictionary for subspace clustering. Pattern Recognit. 120: 108142 (2021) - [j14]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. 33(6): 2369-2379 (2021) - [c27]Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CVPR 2021: 11632-11641 - [c26]Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang:
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration. ICCV 2021: 6108-6117 - [c25]Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang:
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. ICCV 2021: 16035-16044 - [c24]Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - [c23]Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman:
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS 2021: 282-299 - [i18]Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang:
RigNet: Repetitive Image Guided Network for Depth Completion. CoRR abs/2107.13802 (2021) - [i17]Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang:
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. CoRR abs/2108.03830 (2021) - [i16]Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang:
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration. CoRR abs/2109.06619 (2021) - [i15]Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang:
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution. CoRR abs/2111.09103 (2021) - 2020
- [j13]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27: 1545-1549 (2020) - [j12]Xiang Li, Jun Li, Xiaolin Hu, Jian Yang:
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. IEEE Trans. Intell. Transp. Syst. 21(1): 248-258 (2020) - [c22]Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman:
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. AAAI 2020: 767-774 - [c21]Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. AAAI 2020: 5867-5874 - [c20]Bin Sun, Jun Li, Yun Fu:
Block Mobilenet: Align Large-Pose Faces with <1MB Model Size. FG 2020: 184-191 - [c19]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS 2020 - [i14]Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman:
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR abs/2003.10551 (2020) - [i13]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. CoRR abs/2004.04520 (2020) - [i12]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR abs/2006.04388 (2020) - [i11]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR abs/2006.13457 (2020) - [i10]Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CoRR abs/2011.12885 (2020)
2010 – 2019
- 2019
- [j11]Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu:
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying. IEEE Trans. Image Process. 28(5): 2331-2341 (2019) - [j10]Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu:
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning. IEEE Trans. Multim. 21(5): 1183-1194 (2019) - [c18]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c17]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. ICCV 2019: 8241-8250 - [c16]Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. IJCAI 2019: 3562-3568 - [c15]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [i9]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. CoRR abs/1909.04412 (2019) - [i8]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution. CoRR abs/1910.11853 (2019) - [i7]Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. CoRR abs/1911.11908 (2019) - 2018
- [j9]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Improving face representation learning with center invariant loss. Image Vis. Comput. 79: 123-132 (2018) - [j8]Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu:
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. IEEE Trans. Image Process. 27(1): 464-476 (2018) - [j7]Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang:
Convolutional Sparse Autoencoders for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3289-3294 (2018) - [c14]Jun Li, Hongfu Liu, Yun Fu:
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI 2018: 3506-3513 - [c13]Gan Sun, Yang Cong, Jun Li, Yun Fu:
Robust Lifelong Multi-task Multi-view Representation Learning. ICBK 2018: 91-98 - [c12]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. IJCAI 2018: 2021-2027 - [i6]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering with Outlier Removal. CoRR abs/1801.01899 (2018) - [i5]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. CoRR abs/1802.03170 (2018) - [i4]Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu:
Predictive Local Smoothness for Stochastic Gradient Methods. CoRR abs/1805.09386 (2018) - 2017
- [j6]Yu Kong, Zhengming Ding, Jun Li, Yun Fu:
Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Trans. Image Process. 26(6): 3028-3037 (2017) - [j5]Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang:
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1425-1438 (2017) - [c11]Jun Li, Yu Kong, Yun Fu:
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. AAAI 2017: 2189-2195 - [c10]Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu:
Large-scale Subspace Clustering by Fast Regression Coding. IJCAI 2017: 2138-2144 - [c9]Jun Li, Hongfu Liu, Handong Zhao, Yun Fu:
Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI 2017: 2145-2151 - [c8]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Deep Face Recognition with Center Invariant Loss. ACM Multimedia (Thematic Workshops) 2017: 408-414 - [i3]Jun Li, Hongfu Liu, Yue Wu, Yun Fu:
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. CoRR abs/1709.05528 (2017) - 2016
- [j4]Jun Li, Yu Kong, Handong Zhao, Jian Yang, Yun Fu:
Learning Fast Low-Rank Projection for Image Classification. IEEE Trans. Image Process. 25(10): 4803-4814 (2016) - [c7]Lingzheng Dai, Jundi Ding, Jinhui Chen, Jun Li, Jian Yang:
Object segmentation using low-rank representation with multiple block-diagonal priors. ICPR 2016: 1959-1964 - [c6]Haiyi Mao, Yue Wu, Jun Li, Yun Fu:
Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network. ACM Multimedia 2016: 322-326 - [c5]Yue Wu, Jun Li, Yu Kong, Yun Fu:
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. ACM Multimedia 2016: 1063-1067 - 2015
- [j3]Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang:
Higher-level feature combination via multiple kernel learning for image classification. Neurocomputing 167: 209-217 (2015) - [c4]Jun Li, Heyou Chang, Jian Yang:
Sparse Deep Stacking Network for Image Classification. AAAI 2015: 3804-3810 - [c3]Wei Luo, Jun Li, Wei Xu, Jian Yang:
Learning Sparse Features in Convolutional Neural Networks for Image Classification. IScIDE (1) 2015: 29-38 - [i2]Jun Li, Heyou Chang, Jian Yang:
Sparse Deep Stacking Network for Image Classification. CoRR abs/1501.00777 (2015) - 2014
- [j2]Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu:
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131: 388-396 (2014) - [c2]Jun Li, Heyou Chang, Jian Yang:
Learning discriminative low-rank representation for image classification. IJCNN 2014: 313-318 - 2013
- [i1]Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan:
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR abs/1312.5813 (2013) - 2012
- [j1]Jun Li, Jian Yang, Weigen Wu:
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix. Neurocomputing 82: 52-61 (2012) - [c1]Jun Li, Jian Yang, Yongfeng Diao:
Continuous attractors of recurrent neural networks with complex-valued weights. IJCNN 2012: 1-8
Coauthor Index
[j32] [j31] [j30] [c48] [c47] [c46] [c45] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [j29] [j28] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [i33] [i32] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [j24] [j22] [j20] [j18] [c33] [c32] [c31] [c30] [c29] [c28] [i22] [i21] [i20] [i19] [j15] [c27] [c26] [c25] [c24] [i18] [i17] [i16] [i15] [j12] [c19] [i12] [i10] [c18] [c17] [c15] [i9] [j8] [j7] [c12] [i5] [j5] [j4] [c7] [j3] [c4] [c3] [i2] [j2] [c2] [i1] [j1] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
