This paper presents a solution to the Sci-ImageMiner Competition: Task 1 (classification) at ICDAR 2026. The objective is to accurately classify individual scientific figure panels from Atomic Layer Deposition and Etching (ALD/E) literature into a domain-specific taxonomy. We formulate this challenge as a conditional t...
Soumyajyoti Mohanta, Shresth Kasyap, Sasmit Shashwat et al.· Open Conference Proceedings· 0 citations
This is the first study to formulate image-grounded review assistance as a multi-agent vision-language reasoning problem, providing a practical step toward AI-assisted review authoring in e-commerce systems.
U. Nareti, Ayush Bansal, Kumari Priya et al.· 0 citations
Experiments on multimodal intent-recognition benchmarks show that PRIME maintains competitive clean-data performance while improving robustness under missing, noisy, conflicting, and modality-imbalanced conditions.
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay et al.· 0 citations
Extensive experiments show that the proposed multi-modal anti-spoofing approach to detect spoofing attacks across face and fingerprint not only significantly outperforms previous anti-spoofing methods but also uniquely offers the ability to handle potential attack types.
Mohamed Cheniti, Z. Akhtar, Chandranath Adak· Computers· 0 citations
This paper deals with offline writer verification on complex handwriting patterns, where handcrafted feature PDFs are hybridized with auto-derived CNN features and fed into a Siamese neural network for writer verification.
Chandranath Adak, SimoneMarinai, BidyutB.Chaudhuri et al.· 0 citations
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