Yujun Shi (施宇钧)
Yujun Shi (施宇钧)
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Tokens-to-token vit: Training vision transformers from scratch on imagenet
L Yuan, Y Chen, T Wang, W Yu, Y Shi, Z Jiang, FEH Tay, J Feng, S Yan
ICCV 2021, 2021
All tokens matter: Token labeling for training better vision transformers
ZH Jiang, Q Hou, L Yuan, D Zhou, Y Shi, X Jin, A Wang, J Feng
Advances in Neural Information Processing Systems 34, 18590-18602, 2021
Leveraging instance-, image-and dataset-level information for weakly supervised instance segmentation
Y Liu, YH Wu, PS Wen, YJ Shi, Y Qiu, MM Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Rethinking the usage of batch normalization and dropout in the training of deep neural networks
G Chen, P Chen, Y Shi, CY Hsieh, B Liao, S Zhang
arXiv preprint arXiv:1905.05928, 2019
Refiner: Refining Self-attention for Vision Transformers
D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng
arXiv preprint arXiv:2106.03714, 2021
Continual Learning via Bit-Level Information Preserving
Y Shi, L Yuan, Y Chen, J Feng
CVPR 2021, 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Y Shi, K Zhou, J Liang, Z Jiang, J Feng, P Torr, S Bai, VYF Tan
CVPR 2022, 2022
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Y Shi, C Xue, J Pan, W Zhang, VYF Tan, S Bai
arXiv preprint arXiv:2306.14435, 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Y Shi, J Liang, W Zhang, VYF Tan, S Bai
International Conference on Learning Representations (ICLR), 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ...
arXiv preprint arXiv:2305.18292, 2023
Understanding adversarial behavior of dnns by disentangling non-robust and robust components in performance metric
Y Shi, B Liao, G Chen, Y Liu, MM Cheng, J Feng
arXiv preprint arXiv:1906.02494, 2019
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Z Song, Y Zhao, Y Shi, P Peng, L Yuan, Y Tian
CVPR 2023, 2023
Learning Pixel-wise Labeling from the Internet without Human Interaction
Y Liu, Y Shi, JW Bian, L Zhang, MM Cheng, J Feng
arXiv preprint arXiv:1805.07548, 2018
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