Pooja Guhan — accepted AI-conference papers

2024

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra +2

ACL 2024findings

Given a source and its edited version performed based on human instructions in natural language, how do we extract the underlying edit operations, to automatically replicate similar edits on other images? This is the problem of reverse designing, and we present TAME-RD, a model to solve this problem…

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2020

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle

Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

CVPR 2020poster

We present EmotiCon, a learning-based algorithm for context-aware perceived human emotion recognition from videos and images. Motivated by Frege's Context Principle from psychology, our approach combines three interpretations of context for emotion recognition. Our first interpretation is based on u…

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