5 citations · 5 across the 5 of their papers we have counts for
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cs.CV2026
Multi-Cue Anomaly Detection and Localization under Data Contamination
Anindya Sundar Das, Monowar Bhuyan
Visual anomaly detection in real-world industrial settings faces two major limitations. First, most existing methods are trained on purely normal data or on unlabeled datasets assu…
cs.CV2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
Visual anomaly detection targets to detect images that notably differ from normal pattern, and it has found extensive application in identifying defective parts within the manufact…
cs.CV2021★ 5 cited
Self-Supervised Image-to-Text and Text-to-Image Synthesis
Anindya Sundar Das, Sriparna Saha
A comprehensive understanding of vision and language and their interrelation are crucial to realize the underlying similarities and differences between these modalities and to lear…