11 citations · 23 across the 8 of their papers we have counts for
9 papers
Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure
Saheli Hazra, Sudip Das, Rohit Choudhary +4
Applying pseudo labeling techniques has been found to be advantageous in semi-supervised 3D object detection (SSOD) in Bird's-Eye-View (BEV) for autonomous driving, particularly wh…
Revisiting Modality Imbalance In Multimodal Pedestrian Detection
Arindam Das, Sudip Das, Ganesh Sistu +5
Multimodal learning, particularly for pedestrian detection, has recently received emphasis due to its capability to function equally well in several critical autonomous driving sce…
Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Sudip Das, Pankaj Pandey, Krishna Prasad Miyapuram
There is abundant medical data on the internet, most of which are unlabeled. Traditional supervised learning algorithms are often limited by the amount of labeled data, especially…
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Arindam Das, Sudip Das, Ganesh Sistu +5
Most of the existing works on pedestrian pose estimation do not consider estimating the pose of an occluded pedestrian, as the annotations of the occluded parts are not available i…
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Subhrajyoti Dasgupta, Arindam Das, Senthil Yogamani +4
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving…
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta, Arindam Das, Sudip Das +2
Pedestrian Detection is the most critical module of an Autonomous Driving system. Although a camera is commonly used for this purpose, its quality degrades severely in low-light ni…
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya
Pose estimation in the wild is a challenging problem, particularly in situations of (i) occlusions of varying degrees and (ii) crowded outdoor scenes. Most of the existing studies…
Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
Kinjal Dasgupta, Sudip Das, Ujjwal Bhattacharya
Automatic detection of scene texts in the wild is a challenging problem, particularly due to the difficulties in handling (i) occlusions of varying percentages, (ii) widely differe…
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian
Sudip Das, Partha Sarathi Mukherjee, Ujjwal Bhattacharya
Studies of object detection and localization, particularly pedestrian detection have received considerable attention in recent times due to its several prospective applications suc…