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cs.CV2026

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale

Parth Parag Kulkarni, Rohit Gupta, Prakash Chandra Chhipa +1

The task of video geolocalization aims to determine the precise GPS coordinates of a video's origin and map its trajectory; with applications in forensics, social media, and explor…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions

Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa +4

In recent years, deep perceptual loss has been widely and successfully used to train machine learning models for many computer vision tasks, including image synthesis, segmentation…