Jun Li

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Topics

Subspace Clustering

Image Classification

Depth Perception

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Image Process.

Publications

Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang
Diff-Reg v1: Diffusion Matching Model for Registration Problem. CoRR (2024)
Renke Wang, Meng Zhang, Jun Li, Jian Yang
Garment Animation NeRF with Color Editing. CoRR (2024)
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) (2024)
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) (2024)
Zhiqiang Yan, Yupeng Zheng, Deng-Ping Fan, Xiang Li, Jun Li, Jian Yang
Learnable differencing center for nighttime depth perception. Vis. Intell. 2 (1) (2024)
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)
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)
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 (2024)
Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
Creative Birds: Self-Supervised Single-View 3D Style Transfer. ICCV (2023)
Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang
Learnable Differencing Center for Nighttime Depth Perception. CoRR (2023)
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) (2023)
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) (2023)
Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
Creative Birds: Self-Supervised Single-View 3D Style Transfer. CoRR (2023)
Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. AAAI (2023)
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
Create Your World: Lifelong Text-to-Image Diffusion. CoRR (2023)
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 (2023)
Haibo Chen, Lei Zhao, Jun Li, Jian Yang
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer. ACM Multimedia (2023)
Haibo Chen, Lei Zhao, Jun Li, Jian Yang
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer. CoRR (2023)
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) (2023)
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 (2022)
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 (2022)
Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian
Linearity-Aware Subspace Clustering. AAAI (2022)
Shuhui Jiang, Jun Li, Yun Fu
Deep Learning for Fashion Style Generation. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
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) (2022)
Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
RigNet: Repetitive Image Guided Network for Depth Completion. ECCV (27) (2022)
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) (2022)
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)
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) (2022)
Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CoRR (2022)
Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang
Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. IEEE Trans. Cybern. 52 (6) (2022)
Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CVPR (2022)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS (2022)
Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion. CoRR (2022)
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)
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)
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)
Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang
RigNet: Repetitive Image Guided Network for Depth Completion. CoRR (2021)
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 (2021)
Hongfu Liu, Jun Li, Yue Wu, Yun Fu
Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML (2021)
Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang
Learnable low-rank latent dictionary for subspace clustering. Pattern Recognit. 120 (2021)
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) (2020)
Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu
Lifelong Spectral Clustering. AAAI (2020)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR (2020)
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 (2020)
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)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27 (2020)
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 (2020)
Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
Curvilinear Distance Metric Learning. NeurIPS (2019)
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) (2019)
Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li
Data-Adaptive Metric Learning with Scale Alignment. AAAI (2019)
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 (2019)
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)
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) (2019)
Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu
Lifelong Spectral Clustering. CoRR (2019)
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
Adversarial Graph Embedding for Ensemble Clustering. IJCAI (2019)
Hongfu Liu, Jun Li, Yue Wu, Yun Fu
Clustering with Outlier Removal. CoRR (2018)
Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang
Convolutional Sparse Autoencoders for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Yue Wu, Hongfu Liu, Jun Li, Yun Fu
Improving face representation learning with center invariant loss. Image Vis. Comput. 79 (2018)
Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
Adversarial Metric Learning. CoRR (2018)
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) (2018)
Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu
Predictive Local Smoothness for Stochastic Gradient Methods. CoRR (2018)
Jun Li, Hongfu Liu, Yun Fu
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI (2018)
Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
Adversarial Metric Learning. IJCAI (2018)
Gan Sun, Yang Cong, Jun Li, Yun Fu
Robust Lifelong Multi-task Multi-view Representation Learning. ICBK (2018)
Jun Li, Hongfu Liu, Handong Zhao, Yun Fu
Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI (2017)
Yu Kong, Zhengming Ding, Jun Li, Yun Fu
Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Trans. Image Process. 26 (6) (2017)
Yue Wu, Hongfu Liu, Jun Li, Yun Fu
Deep Face Recognition with Center Invariant Loss. ACM Multimedia (Thematic Workshops) (2017)
Jun Li, Yu Kong, Yun Fu
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. AAAI (2017)
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) (2017)
Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu
Large-scale Subspace Clustering by Fast Regression Coding. IJCAI (2017)
Jun Li, Hongfu Liu, Yue Wu, Yun Fu
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. CoRR (2017)
Haiyi Mao, Yue Wu, Jun Li, Yun Fu
Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network. ACM Multimedia (2016)
Lingzheng Dai, Jundi Ding, Jinhui Chen, Jun Li, Jian Yang
Object segmentation using low-rank representation with multiple block-diagonal priors. ICPR (2016)
Jun Li, Yu Kong, Handong Zhao, Jian Yang, Yun Fu
Learning Fast Low-Rank Projection for Image Classification. IEEE Trans. Image Process. 25 (10) (2016)
Yue Wu, Jun Li, Yu Kong, Yun Fu
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. ACM Multimedia (2016)
Wei Luo, Jun Li, Wei Xu, Jian Yang
Learning Sparse Features in Convolutional Neural Networks for Image Classification. IScIDE (1) (2015)
Jun Li, Heyou Chang, Jian Yang
Sparse Deep Stacking Network for Image Classification. CoRR (2015)
Jun Li, Heyou Chang, Jian Yang
Sparse Deep Stacking Network for Image Classification. AAAI (2015)
Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang
Higher-level feature combination via multiple kernel learning for image classification. Neurocomputing 167 (2015)
Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131 (2014)
Jun Li, Heyou Chang, Jian Yang
Learning discriminative low-rank representation for image classification. IJCNN (2014)
Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR (2013)
Jun Li, Jian Yang, Weigen Wu
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix. Neurocomputing 82 (2012)
Jun Li, Jian Yang, Yongfeng Diao
Continuous attractors of recurrent neural networks with complex-valued weights. IJCNN (2012)
Xiuyan Guo, Jun Li, Jian Yang, Jinlin Wang
The Research on Dynamic Replication and Placement of File Using Dual-Threshold Dynamic File Migration Algorithm. CSSE (3) (2008)