most citedMask-Guided Attention Network for Occluded Pedestrian Detection

36 citations · 103 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202028 cited

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…

cs.CV20207 cited

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…

cs.CV20208 cited

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…

cs.CV201924 cited

Deep Contextual Attention for Human-Object Interaction Detection

Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan +4

Human-object interaction detection is an important and relatively new class of visual relationship detection tasks, essential for deeper scene understanding. Most existing approach…

cs.CV201936 cited

Mask-Guided Attention Network for Occluded Pedestrian Detection

Yanwei Pang, Jin Xie, Muhammad Haris Khan +3

Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance…