Rohan Sarkar — accepted AI-conference papers

2026

ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis

Pan Wang, Lipeng Ke, Huajun Ying, Pritish Mohapatra, Rohan Sarkar, Suresh Lakhani +2

ICML 2026poster

Multimodal sentiment analysis (MSA) aims to predict human sentiments by integrating signals from different modalities such as text, video, and audio. However, raw multimodal sequences often suffer from semantic inconsistencies--exhibiting redundancy or conflicts within and across modalities--which h…

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2024

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

Rohan Sarkar, Avinash Kak

CVPR 2024poster

In the context of pose-invariant object recognition and retrieval we demonstrate that it is possible to achieve significant improvements in performance if both the category-based and the object-identity-based embeddings are learned simultaneously during training. In hindsight that sounds intuitive b…

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