activity
20142023
most citedScene Text Detection via Holistic, Multi-Channel Prediction

212 citations · 838 across the 55 of their papers we have counts for

collaborators
Showing 2020Show all

12 papers · 1 filter

cs.CV2020★ 3 cited

Exploiting Learnable Joint Groups for Hand Pose Estimation

Moran Li, Yuan Gao, Nong Sang

In this paper, we propose to estimate 3D hand pose by recovering the 3D coordinates of joints in a group-wise manner, where less-related joints are automatically categorized into d…

cs.CV2020★ 8 cited

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians

Shizhen Zhao, Changxin Gao, Jun Zhang +7

In the conventional person Re-ID setting, it is widely assumed that cropped person images are for each individual. However, in a crowded scene, off-shelf-detectors may generate bou…

cs.CV2020★ 2 cited

Representative Graph Neural Network

Changqian Yu, Yifan Liu, Changxin Gao +2

Non-local operation is widely explored to model the long-range dependencies. However, the redundant computation in this operation leads to a prohibitive complexity. In this paper,…

cs.CV2020★ 2 cited

Multi-Level Temporal Pyramid Network for Action Detection

Xiang Wang, Changxin Gao, Shiwei Zhang +1

Currently, one-stage frameworks have been widely applied for temporal action detection, but they still suffer from the challenge that the action instances span a wide range of time…

cs.CV2020★ 3 cited

Adversarial Semantic Data Augmentation for Human Pose Estimation

Yanrui Bin, Xuan Cao, Xinya Chen +7

Human pose estimation is the task of localizing body keypoints from still images. The state-of-the-art methods suffer from insufficient examples of challenging cases such as symmet…

cs.CV2020★ 7 cited

CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)

Xiang Wang, Baiteng Ma, Zhiwu Qing +4

In this report, we present our solution for the task of temporal action localization (detection) (task 1) in ActivityNet Challenge 2020. The purpose of this task is to temporally l…