Zhun Sun

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Image Deformations

Top Venues

Publications

Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR (2024)
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) (2024)
Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang
What Can Simple Arithmetic Operations Do for Temporal Modeling? CoRR (2023)
Shentong Mo, Zhun Sun, Chao Li
Multi-level Contrastive Learning for Self-Supervised Vision Transformers. WACV (2023)
Wenhao Wu, Zhun Sun, Wanli Ouyang
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. AAAI (2023)
Shentong Mo, Zhun Sun, Chao Li
Representation Disentanglement in Generative Models with Contrastive Learning. WACV (2023)
Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang
What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV (2023)
Shentong Mo, Zhun Sun, Chao Li
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. CoRR (2023)
Shentong Mo, Zhun Sun, Chao Li
Siamese Prototypical Contrastive Learning. CoRR (2022)
Shentong Mo, Zhun Sun, Chao Li
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. CoRR (2022)
Yiyong Li, Zhun Sun, Chao Li
Are we pruning the correct channels in image-to-image translation models? BMVC (2022)
Wenhao Wu, Zhun Sun, Wanli Ouyang
Transferring Textual Knowledge for Visual Recognition. CoRR (2022)
Zhun Sun
Design of the topology for contrastive visual-textual alignment. CoRR (2022)
Shentong Mo, Zhun Sun, Chao Li
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. BMVC (2022)
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)
Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao
On the Memory Mechanism of Tensor-Power Recurrent Models. AISTATS (2021)
Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao
On the Memory Mechanism of Tensor-Power Recurrent Models. CoRR (2021)
Shentong Mo, Zhun Sun, Chao Li
Siamese Prototypical Contrastive Learning. BMVC (2021)
Zhun Sun, Chao Li, Qibin Zhao
Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. ICASSP (2021)
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)
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) (2020)
Chao Li, Zhun Sun
Evolutionary Topology Search for Tensor Network Decomposition. ICML (2020)
Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CoRR (2019)
Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP (2019)
Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR (2019)
Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao
Guaranteed Matrix Completion Under Multiple Linear Transformations. CVPR (2019)
Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CVPR (2019)
Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG (2019)
Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani
Feature Quantization for Defending Against Distortion of Images. CVPR (2018)
Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR (2018)
Zhun Sun, Mete Ozay, Takayuki Okatani
Linear Discriminant Generative Adversarial Networks. CoRR (2017)
Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani
Information Potential Auto-Encoders. CoRR (2017)
Zhun Sun, Mete Ozay, Takayuki Okatani
HyperNetworks with statistical filtering for defending adversarial examples. CoRR (2017)
Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR (2017)
Zhun Sun, Mete Ozay, Takayuki Okatani
Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) (2016)
Zhun Sun, Mete Özay, Takayuki Okatani
Design of Kernels in Convolutional Neural Networks for Image Classification. CoRR (2015)