4 citations · 8 across the 7 of their papers we have counts for
8 papers
Learning Generalizable Human Motion Generator with Reinforcement Learning
Yunyao Mao, Xiaoyang Liu, Wengang Zhou +2
Text-driven human motion generation, as one of the vital tasks in computer-aided content creation, has recently attracted increasing attention. While pioneering research has largel…
Asymmetric Feature Fusion for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou +2
In asymmetric retrieval systems, models with different capacities are deployed on platforms with different computational and storage resources. Despite the great progress, existing…
IMD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
Yunyao Mao, Jiajun Deng, Wengang Zhou +3
Recent progresses on self-supervised 3D human action representation learning are largely attributed to contrastive learning. However, in conventional contrastive frameworks, the ri…
Text-Only Training for Visual Storytelling
Yuechen Wang, Wengang Zhou, Zhenbo Lu +1
Visual storytelling aims to generate a narrative based on a sequence of images, necessitating both vision-language alignment and coherent story generation. Most existing solutions…
UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior
Yonghui Wang, Wengang Zhou, Zhenbo Lu +1
Document images captured by mobile devices are usually degraded by uncontrollable illumination, which hampers the clarity of document content. Recently, a series of research effort…
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
Yunyao Mao, Wengang Zhou, Zhenbo Lu +2
In 3D action recognition, there exists rich complementary information between skeleton modalities. Nevertheless, how to model and utilize this information remains a challenging pro…
Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods
Qing Li, Wengang Zhou, Zhenbo Lu +1
Actor-critic Reinforcement Learning (RL) algorithms have achieved impressive performance in continuous control tasks. However, they still suffer two nontrivial obstacles, i.e., low…
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
Zeyu Fang, Jian Zhao, Mingyu Yang +3
Active Multi-Object Tracking (AMOT) is a task where cameras are controlled by a centralized system to adjust their poses automatically and collaboratively so as to maximize the cov…