20 citations · 74 across the 14 of their papers we have counts for
6 papers · 1 filter
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
Haoxiang Ma, Di Huang
In this paper, we focus on the problem of feature learning in the presence of scale imbalance for 6-DoF grasp detection and propose a novel approach to especially address the diffi…
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
Bing Li, Jiaxin Chen, Dongming Zhang +2
Compressed video action recognition has recently drawn growing attention, since it remarkably reduces the storage and computational cost via replacing raw videos by sparsely sample…
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
Jiaxi Wu, Jiaxin Chen, Di Huang
Active learning is a promising alternative to alleviate the issue of high annotation cost in the computer vision tasks by consciously selecting more informative samples to label. A…
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
Jiaxi Wu, Jiaxin Chen, Mengzhe He +7
Domain adaptive object detection (DAOD) is a promising way to alleviate performance drop of detectors in new scenes. Albeit great effort made in single source domain adaptation, a…
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
Yanan Zhang, Jiaxin Chen, Di Huang
In autonomous driving, LiDAR point-clouds and RGB images are two major data modalities with complementary cues for 3D object detection. However, it is quite difficult to sufficient…
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
Yecheng Huang, Jiaxin Chen, Di Huang
This paper proposes a novel approach to object detection on drone imagery, namely Multi-Proxy Detection Network with Unified Foreground Packing (UFPMP-Det). To deal with the numero…