2 citations · 2 across the 7 of their papers we have counts for
8 papers
EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer
Munish Monga, Vishal Chudasama, Pankaj Wasnik +1
Real-world object detection must operate in evolving environments where new classes emerge, domains shift, and unseen objects must be identified as "unknown": all without accessing…
Face Time Traveller : Travel Through Ages Without Losing Identity
Purbayan Kar, Ayush Ghadiya, Vishal Chudasama +2
Face aging, an ill-posed problem shaped by environmental and genetic factors, is vital in entertainment, forensics, and digital archiving, where realistic age transformations must…
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
Munish Monga, Vishal Chudasama, Pankaj Wasnik +1
Real-world object detection systems, such as those in autonomous driving and surveillance, must continuously learn new object categories and simultaneously adapt to changing enviro…
Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
Sanchayan Santra, Vishal Chudasama, Pankaj Wasnik +1
Precise Event Spotting (PES) aims to identify events and their class from long, untrimmed videos, particularly in sports. The main objective of PES is to detect the event at the ex…
Open-Set Object Detection By Aligning Known Class Representations
Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe +2
Open-Set Object Detection (OSOD) has emerged as a contemporary research direction to address the detection of unknown objects. Recently, few works have achieved remarkable performa…
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection
Ayush Ghadiya, Purbayan Kar, Vishal Chudasama +1
Recently, weakly supervised video anomaly detection (WS-VAD) has emerged as a contemporary research direction to identify anomaly events like violence and nudity in videos using on…
Beyond Few-shot Object Detection: A Detailed Survey
Vishal Chudasama, Hiran Sarkar, Pankaj Wasnik +2
Object detection is a critical field in computer vision focusing on accurately identifying and locating specific objects in images or videos. Traditional methods for object detecti…
Fiducial Focus Augmentation for Facial Landmark Detection
Purbayan Kar, Vishal Chudasama, Naoyuki Onoe +2
Deep learning methods have led to significant improvements in the performance on the facial landmark detection (FLD) task. However, detecting landmarks in challenging settings, suc…