1 citations · 4 across the 12 of their papers we have counts for
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LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De +2
Perspective distortion (PD) leads to substantial alterations in the shape, size, orientation, angles, and spatial relationships of visual elements in images. Accurately determining…
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi, Ifza, Didier Stricker +1
The impressive advancements in semi-supervised learning have driven researchers to explore its potential in object detection tasks within the field of computer vision. Semi-Supervi…
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini +1
In the Multi-task Learning (MTL) framework, every task demands distinct feature representations, ranging from low-level to high-level attributes. It is vital to address the specifi…
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa +2
The challenge of Out-Of-Distribution (OOD) robustness remains a critical hurdle towards deploying deep vision models. Vision-Language Models (VLMs) have recently achieved groundbre…
Möbius Transform for Mitigating Perspective Distortions in Representation Learning
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De +3
Perspective distortion (PD) causes unprecedented changes in shape, size, orientation, angles, and other spatial relationships of visual concepts in images. Precisely estimating cam…