Agneet Chatterjee

I am a 2nd year PhD student at Arizona State University, where I am fortunate to be advised by Chitta Baral and Yezhou Yang. My current research interests are : Investigating and improving spatial reasoning abilities in text-to-image and multimodal large language models.

I received my Bachelors, in Computer Science from Jadavpur University, India in 2019. Before I started my PhD, I spent 3 years as a software engineer at Salesforce.

Email / CV / Google Scholar / Twitter / GitHub

News

April, 2024 - New preprint out. More details on our website.
March, 2024 - 1 paper accepted to NAACL 2024.
March, 2024 - Received the SCAI Conference Award.
February, 2024 - 1 paper accepted to CVPR 2024.
February, 2024 - Received the SCAI Doctoral Fellowship.
March, 2023 - Received the SCAI Engineering Fellowship.
January, 2023 - Started my PhD.

Research

Representative papers are highlighted.

	Getting it Right: Improving Spatial Consistency in Text-to-Image Models Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal , Chitta Baral , Yezhou Yang Under Review Paper \| Project \| Code
	On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang CVPR 2024 Paper \| Project \| Code
	Accelerating LLM Inference by Enabling Intermediate Layer Decoding Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral NAACL 2024 Paper

This website's source code is borrowed from Jon Barron. Much thanks!