17 citations · 33 across the 9 of their papers we have counts for
7 papers · 1 filter
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
Yiyuan Liang, Zhiying Yan, Liqun Chen +4
Vision-centric autonomous driving systems require diverse data for robust training and evaluation, which can be augmented by manipulating object positions and appearances within ex…
A Grammatical Compositional Model for Video Action Detection
Zhijun Zhang, Xu Zou, Jiahuan Zhou +2
Analysis of human actions in videos demands understanding complex human dynamics, as well as the interaction between actors and context. However, these interaction relationships us…
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong +3
Low-light images frequently occur due to unavoidable environmental influences or technical limitations, such as insufficient lighting or limited exposure time. To achieve better vi…
Category-Aware Transformer Network for Better Human-Object Interaction Detection
Leizhen Dong, Zhimin Li, Kunlun Xu +4
Human-Object Interactions (HOI) detection, which aims to localize a human and a relevant object while recognizing their interaction, is crucial for understanding a still image. Rec…
Effective Actor-centric Human-object Interaction Detection
Kunlun Xu, Zhimin Li, Zhijun Zhang +5
While Human-Object Interaction(HOI) Detection has achieved tremendous advances in recent, it still remains challenging due to complex interactions with multiple humans and objects…
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
Yanjie Wang, Xu Zou, Zhijun Zhang +5
Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images. Despite that many methods proposed recently hav…
Morphable Detector for Object Detection on Demand
Xiangyun Zhao, Xu Zou, Ying Wu
Many emerging applications of intelligent robots need to explore and understand new environments, where it is desirable to detect objects of novel classes on the fly with minimum o…