research
∙
02/24/2023
Revisiting Modality Imbalance In Multimodal Pedestrian Detection
Multimodal learning, particularly for pedestrian detection, has recently...
share
research
∙
06/15/2022
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Most of the existing works on pedestrian pose estimation do not consider...
research
∙
03/29/2022
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Shadows are frequently encountered natural phenomena that significantly ...
research
∙
05/26/2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Pedestrian Detection is the most critical module of an Autonomous Drivin...
research
∙
02/15/2020
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
Pose estimation in the wild is a challenging problem, particularly in si...
research
∙
02/15/2020
Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
Automatic detection of scene texts in the wild is a challenging problem,...
research
∙
12/21/2019
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian
Studies of object detection and localization, particularly pedestrian de...
research
∙
01/29/2018