161 citations · 1k across the 45 of their papers we have counts for
8 papers · 1 filter
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Yanwei Pang, Jiale Cao, Yazhao Li +3
Vehicles, pedestrians, and riders are the most important and interesting objects for the perception modules of self-driving vehicles and video surveillance. However, the state-of-t…
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
Jiale Cao, Yanwei Pang, Jin Xie +2
Pedestrian detection is an important but challenging problem in computer vision, especially in human-centric tasks. Over the past decade, significant improvement has been witnessed…
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal +3
Single-stage instance segmentation approaches have recently gained popularity due to their speed and simplicity, but are still lagging behind in accuracy, compared to two-stage met…
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
Haoran Wang, Ying Zhang, Zhong Ji +2
Image-text matching plays a central role in bridging vision and language. Most existing approaches only rely on the image-text instance pair to learn their representations, thereby…
Hierarchical Human Parsing with Typed Part-Relation Reasoning
Wenguan Wang, Hailong Zhu, Jifeng Dai +3
Human parsing is for pixel-wise human semantic understanding. As human bodies are underlying hierarchically structured, how to model human structures is the central theme in this t…
Learning Compositional Neural Information Fusion for Human Parsing
Wenguan Wang, Zhijie Zhang, Siyuan Qi +3
This work proposes to combine neural networks with the compositional hierarchy of human bodies for efficient and complete human parsing. We formulate the approach as a neural infor…
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
Yazhao Li, Yanwei Pang, Jianbing Shen +2
Due to the advantages of real-time detection and improved performance, single-shot detectors have gained great attention recently. To solve the complex scale variations, single-sho…
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian Detection
Jin Xie, Yanwei Pang, Hisham Cholakkal +3
Detecting pedestrians, especially under heavy occlusions, is a challenging computer vision problem with numerous real-world applications. This paper introduces a novel approach, te…