152 citations · 1.1k across the 56 of their papers we have counts for
5 papers · 1 filter
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
Zhaopeng Dou, Zhongdao Wang, Yali Li +1
This paper aims to learn a domain-generalizable (DG) person re-identification (ReID) representation from large-scale videos \textbf{without any annotation}. Prior DG ReID methods e…
VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes
Yuhao Lu, Yixuan Fan, Beixing Deng +3
Robotic grasping faces new challenges in human-robot-interaction scenarios. We consider the task that the robot grasps a target object designated by human's language directives. Th…
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Yujiang Pu, Xiaoyu Wu, Lulu Yang +1
Video anomaly detection under weak supervision presents significant challenges, particularly due to the lack of frame-level annotations during training. While prior research has ut…
Spectral Convolutional Neural Network Chip for In-sensor Edge Computing of Incoherent Natural Light
Kaiyu Cui, Shijie Rao, Sheng Xu +9
Convolutional neural networks (CNNs) are representative models of artificial neural networks (ANNs). However, the considerable power consumption and limited computing speed of elec…
Detecting Everything in the Open World: Towards Universal Object Detection
Zhenyu Wang, Yali Li, Xi Chen +4
In this paper, we formally address universal object detection, which aims to detect every scene and predict every category. The dependence on human annotations, the limited visual…