Yujun Shi

According to our database, Yujun Shi authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding and Mitigating Dimensional Collapse in Federated Learning.

Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation.

Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan

CoRR, 2024

InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos.

Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng

CoRR, 2024

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators.

Shenghai Yuan, Jinfa Huang, Yujun Shi, Yongqi Xu, Ruijie Zhu, Bin Lin, Xinhua Cheng, Li Yuan, Jiebo Luo

CoRR, 2024

Envision3D: One Image to 3D with Anchor Views Interpolation.

Yatian Pang, Tanghui Jia, Yujun Shi, Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Xing Zhou, Francis E. H. Tay, Li Yuan

CoRR, 2024

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing.

Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.

Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

CoRR, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.

Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning.

Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A DRL Enhanced Caching Based on Age of Information for 6G Mobile Edge Computation.

Yuhan Liu, Chaowei Wang, Yujun Shi, Danhao Deng, Tengsen Ma, Weidong Wang

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.

Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.

Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Refiner: Refining Self-attention for Vision Transformers.

Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng

CoRR, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan

CoRR, 2021

Quantitative Analysis of Back-EMF of a Dual-Permanent-Magnet-Excited Machine: Alert to Flux Density Harmonics Which Make a Negative Contribution to Back-EMF.

Yujun Shi, Junwen Zhong, Linni Jian

IEEE Access, 2021

All Tokens Matter: Token Labeling for Training Better Vision Transformers.

Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continual Learning via Bit-Level Information Preserving.

Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.

Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng

CoRR, 2019

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.

Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang

CoRR, 2019

2018

Learning Pixel-wise Labeling from the Internet without Human Interaction.

Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng

CoRR, 2018

Predictive Flux-linkage Control for Novel Dual-Permanent-Magnet-Excited Machines.

Qisheng Ye, Yujun Shi, Zhengxing Deng, Linni Jian

Proceedings of the IEEE International Conference on Information and Automation, 2018

2016

A New Perspective on the Operating Principle of Flux-Switching Permanent-Magnet Machines.

Yujun Shi, Linni Jian, Jin Wei, Ziyun Shao, Wenlong Li, C. C. Chan

IEEE Trans. Ind. Electron., 2016

Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery.

Guoqing Zhou, Tao Yue, Yujun Shi, Rongting Zhang, Jingjin Huang

Remote. Sens., 2016

2014

Extraction of exposed carbonatite in karst desertification area using co-location decision tree.

Guoqing Zhou, Rongting Zhang, Yujun Shi, Chengjie Su, Yilong Liu, Hongbo Yan

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications.

Yang Li, Bin Hu, Qinglin Zhao, Hong Peng, Yujun Shi, Yunpeng Li, Philip Moore

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013