activity
20172022
most citedC-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

30 citations · 137 across the 12 of their papers we have counts for

collaborators

18 papers

cs.CV20221 cited

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

Yunjie Tian, Lingxi Xie, Jiemin Fang +6

The past year has witnessed a rapid development of masked image modeling (MIM). MIM is mostly built upon the vision transformers, which suggests that self-supervised visual represe…

cs.CV2022

P2P-Loc: Point to Point Tiny Person Localization

Xuehui Yu, Di Wu, Qixiang Ye +2

Bounding-box annotation form has been the most frequently used method for visual object localization tasks. However, bounding-box annotation relies on a large amount of precisely a…

cs.CV20218 cited

Long-tailed Distribution Adaptation

Zhiliang Peng, Wei Huang, Zonghao Guo +3

Recognizing images with long-tailed distributions remains a challenging problem while there lacks an interpretable mechanism to solve this problem. In this study, we formulate Long…

cs.CV202116 cited

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

Weixi Zhao, Yunjie Tian, Qixiang Ye +2

Exploiting relations among 2D joints plays a crucial role yet remains semi-developed in 2D-to-3D pose estimation. To alleviate this issue, we propose GraFormer, a novel transformer…

cs.CV2021

Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

Binghao Liu, Yao Ding, Jianbin Jiao +2

Encouraging progress in few-shot semantic segmentation has been made by leveraging features learned upon base classes with sufficient training data to represent novel classes with…

cs.CV2021

Conformer: Local Features Coupling Global Representations for Visual Recognition

Zhiliang Peng, Wei Huang, Shanzhi Gu +4

Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global representations. Within visu…