6 citations · 8 across the 8 of their papers we have counts for
8 papers
DrawMotion: Generating 3D Human Motions by Freehand Drawing
Tao Wang, Lei Jin, Zhihua Wu +7
Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions throug…
Never compromise with vulnerabilities: a comprehensive survey on AI governance
Yuchu Jiang, Jian Zhao, Yuchen Yuan +62
The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, t…
StickMotion: Generating 3D Human Motions by Drawing a Stickman
Tao Wang, Zhihua Wu, Qiaozhi He +6
Text-to-motion generation, which translates textual descriptions into human motions, has been challenging in accurately capturing detailed user-imagined motions from simple text in…
DiffBrush:Just Painting the Art by Your Hands
Jiaming Chu, Lei Jin, Tao Wang +2
The rapid development of image generation and editing algorithms in recent years has enabled ordinary user to produce realistic images. However, the current AI painting ecosystem p…
The SkatingVerse Workshop & Challenge: Methods and Results
Jian Zhao, Lei Jin, Jianshu Li +16
The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
Chen Min, Dawei Zhao, Liang Xiao +10
Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vi…
UniParser: Multi-Human Parsing with Unified Correlation Representation Learning
Jiaming Chu, Lei Jin, Junliang Xing +1
Multi-human parsing is an image segmentation task necessitating both instance-level and fine-grained category-level information. However, prior research has typically processed the…
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
Ziqi Gao, Yuntao Wang, Jianguo Chen +4
Multimodal sensors provide complementary information to develop accurate machine-learning methods for human activity recognition (HAR), but introduce significantly higher computati…