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2020 – today
- 2024
[j2]Wenhao Wu
, Zhun Sun, Yuxin Song, Jingdong Wang, Wanli Ouyang:
Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective. Int. J. Comput. Vis. 132(2): 392-409 (2024)- [c19]Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou:
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). ICML 2024 - [i16]Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao:
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR abs/2402.02456 (2024) - 2023
- [c18]Wenhao Wu, Zhun Sun, Wanli Ouyang:
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. AAAI 2023: 2847-2855 - [c17]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV 2023: 13666-13676 - [c16]Shentong Mo, Zhun Sun, Chao Li:
Representation Disentanglement in Generative Models with Contrastive Learning. WACV 2023: 1531-1540 - [c15]Shentong Mo, Zhun Sun, Chao Li:
Multi-level Contrastive Learning for Self-Supervised Vision Transformers. WACV 2023: 2777-2786 - [i15]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? CoRR abs/2307.08908 (2023) - [i14]Shentong Mo, Zhun Sun, Chao Li:
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. CoRR abs/2310.18850 (2023) - 2022
- [c14]Shentong Mo, Zhun Sun, Chao Li:
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. BMVC 2022: 299 - [c13]Yiyong Li, Zhun Sun, Chao Li:
Are we pruning the correct channels in image-to-image translation models? BMVC 2022: 551 - [i13]Wenhao Wu, Zhun Sun, Wanli Ouyang:
Transferring Textual Knowledge for Visual Recognition. CoRR abs/2207.01297 (2022) - [i12]Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. CoRR abs/2208.08819 (2022) - [i11]Zhun Sun:
Design of the topology for contrastive visual-textual alignment. CoRR abs/2209.02127 (2022) - [i10]Shentong Mo, Zhun Sun, Chao Li:
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. CoRR abs/2210.10194 (2022) - 2021
- [c12]Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao:
On the Memory Mechanism of Tensor-Power Recurrent Models. AISTATS 2021: 3682-3690 - [c11]Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. BMVC 2021: 185 - [c10]Zhun Sun, Chao Li, Qibin Zhao:
Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. ICASSP 2021: 2370-2374 - [c9]Pu Ge, Qiushi Huang, Wei Xiang, Xue Jing, Yule Li, Yiyong Li, Zhun Sun:
Focus and retain: Complement the Broken Pose in Human Image Synthesis. WACV 2021: 3369-3378 - [i9]Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao:
On the Memory Mechanism of Tensor-Power Recurrent Models. CoRR abs/2103.01521 (2021) - 2020
- [j1]Hao Li, Zhengda Bian, Peng Zhang, Zhun Sun, Chengchen Hu, Qiang Fu, Tian Pan, Jia Lv:
Application-Oblivious L7 Parsing Using Recurrent Neural Networks. IEEE/ACM Trans. Netw. 28(5): 2009-2022 (2020) - [c8]Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao:
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. AAAI 2020: 4602-4609 - [c7]Chao Li, Zhun Sun:
Evolutionary Topology Search for Tensor Network Decomposition. ICML 2020: 5947-5957
2010 – 2019
- 2019
- [c6]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CVPR 2019: 7007-7016 - [c5]Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao:
Guaranteed Matrix Completion Under Multiple Linear Transformations. CVPR 2019: 11136-11145 - [c4]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG 2019: 1-5 - [c3]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP 2019: 3022-3026 - [i8]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CoRR abs/1903.08817 (2019) - [i7]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR abs/1905.08609 (2019) - 2018
- [c2]Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani:
Feature Quantization for Defending Against Distortion of Images. CVPR 2018: 7957-7966 - [i6]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR abs/1810.13098 (2018) - 2017
- [i5]Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani:
Information Potential Auto-Encoders. CoRR abs/1706.04635 (2017) - [i4]Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR abs/1707.07830 (2017) - [i3]Zhun Sun, Mete Ozay, Takayuki Okatani:
Linear Discriminant Generative Adversarial Networks. CoRR abs/1707.07831 (2017) - [i2]Zhun Sun, Mete Ozay, Takayuki Okatani:
HyperNetworks with statistical filtering for defending adversarial examples. CoRR abs/1711.01791 (2017) - 2016
- [c1]Zhun Sun, Mete Ozay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) 2016: 51-66 - 2015
- [i1]Zhun Sun, Mete Özay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. CoRR abs/1511.09231 (2015)
Coauthor Index
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