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ORCIDJun Li 0027
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Publications
- 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)- [c39]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 - [c37]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 - [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) - 2022
- [j24]Wei Zheng, Shuo Chen, Zhenyong Fu, Jun Li, Jian Yang:
Streaming feature selection via graph diffusion. Inf. Sci. 618: 150-168 (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) - [c35]Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian:
Linearity-Aware Subspace Clustering. AAAI 2022: 8770-8778 - [c33]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 - [c29]Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS 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) - 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) - [c25]Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - 2020
- [c20]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 - [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) - 2019
- [c19]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c16]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - 2018
- [c13]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. IJCAI 2018: 2021-2027 - [i5]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. CoRR abs/1802.03170 (2018)
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