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

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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. Details soon!
  • February, 2024 - Received the SCAI Doctoral Fellowship.
  • March, 2023 - Received the SCAI Engineering Fellowship.
  • January, 2023 - Started my PhD.

Research

Representative papers are highlighted.

spright
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

lang_depth
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

lite
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!