794 citations · 5.6k across the 185 of their papers we have counts for
12 papers · 2 filters
Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang, Xiaogang Wang +4
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural…
Person Search via A Mask-Guided Two-Stream CNN Model
Di Chen, Shanshan Zhang, Wanli Ouyang +2
In this work, we tackle the problem of person search, which is a challenging task consisted of pedestrian detection and person re-identification~(re-ID). Instead of sharing represe…
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu, Hongjun Wang, Guanbin Li +2
Crowd counting from unconstrained scene images is a crucial task in many real-world applications like urban surveillance and management, but it is greatly challenged by the camera'…
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking
Hui Zhou, Wanli Ouyang, Jian Cheng +2
Online Multi-Object Tracking (MOT) is a challenging problem and has many important applications including intelligence surveillance, robot navigation and autonomous driving. In exi…
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
Yikang Li, Wanli Ouyang, Bolei Zhou +3
Generating scene graph to describe all the relations inside an image gains increasing interests these years. However, most of the previous methods use complicated structures with s…
Attention-Aware Compositional Network for Person Re-identification
Jing Xu, Rui Zhao, Feng Zhu +2
Person re-identification (ReID) is to identify pedestrians observed from different camera views based on visual appearance. It is a challenging task due to large pose variations, c…