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Revisiting Modality Imbalance In Multimodal Pedestrian Detection
Multimodal learning, particularly for pedestrian detection, has recently...
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Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Most of the existing works on pedestrian pose estimation do not consider...
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UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Shadows are frequently encountered natural phenomena that significantly ...
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Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Pedestrian Detection is the most critical module of an Autonomous Drivin...
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An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
Pose estimation in the wild is a challenging problem, particularly in si...
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Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
Automatic detection of scene texts in the wild is a challenging problem,...
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