1 citations · 1 across the 12 of their papers we have counts for
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MAVISEG: Manifold Propagation and Visual Prototypes for Zero-Shot Open-Vocabulary Segmentation in Diffusion Transformers
Rajatsubhra Chakraborty, Xujun Che, Ritabrata Chakraborty +2
Text-to-image diffusion transformers learn about objects and scenes by learning to generate them, making them strong candidates for training-free zero-shot open-vocabulary semantic…
Andha-Dhun: A First Look at Audio Descriptions in Hindi
Ritabrata Chakraborty, Divy Kala, Nisheeth Bhooshan Gupta +3
Audio Descriptions (ADs) narrate visual content for Blind and Low Vision (BLV) audiences during gaps in audiovisual media. There is growing momentum around ADs in movies and TV sho…
Towards Robust Cross-Dataset Object Detection Generalization under Domain Specificity
Ritabrata Chakraborty, Hrishit Mitra, Shivakumara Palaiahnakote +1
Object detectors often perform well in-distribution, yet degrade sharply on a different benchmark. We study cross-dataset object detection (CD-OD) through a lens of setting specifi…
CAMBench-QR : A Structure-Aware Benchmark for Post-Hoc Explanations with QR Understanding
Ritabrata Chakraborty, Avijit Dasgupta, Sandeep Chaurasia
Visual explanations are often plausible but not structurally faithful. We introduce CAMBench-QR, a structure-aware benchmark that leverages the canonical geometry of QR codes (find…
Mask & Match: Learning to Recognize Handwritten Math with Self-Supervised Attention
Shree Mitra, Ritabrata Chakraborty, Nilkanta Sahu
Recognizing handwritten mathematical expressions (HMER) is a challenging task due to the inherent two-dimensional structure, varying symbol scales, and complex spatial relationship…
A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features
Ayush Lodh, Ritabrata Chakraborty, Shivakumara Palaiahnakote +1
We posit that handwriting recognition benefits from complementary cues carried by the rasterized complex glyph and the pen's trajectory, yet most systems exploit only one modality.…
Do We Need Large VLMs for Spotting Soccer Actions?
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Avijit Dasgupta +1
Traditional video-based tasks like soccer action spotting rely heavily on visual inputs, often requiring complex and computationally expensive models to process dense video data. W…
TruthLens:A Training-Free Paradigm for DeepFake Detection
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Ali Khaleghi Rahimian +1
The proliferation of synthetic images generated by advanced AI models poses significant challenges in identifying and understanding manipulated visual content. Current fake image d…
A Lightweight Context-Driven Training-Free Network for Scene Text Segmentation and Recognition
Ritabrata Chakraborty, Shivakumara Palaiahnakote, Umapada Pal +1
Modern scene text recognition systems often depend on large end-to-end architectures that require extensive training and are prohibitively expensive for real-time scenarios. In suc…