Agniv Chatterjee

PhD Student · University of Texas at Austin

I am a 2nd-year PhD student in Computer Science at the University of Texas at Austin, advised by Dr. Georgios Pavlakos. My research focuses on understanding how humans interact with objects in 3D — specifically recovering joint reconstructions of full-body humans and objects from natural images using contact constraints and physics-informed priors.

Previously, I worked at the Perceiving Systems group at MPI for Intelligent Systems (Tübingen), under Dr. Michael Black, on dense human-scene contact estimation and human-object reconstruction. I have also done research at INRIA Sophia Antipolis, IISc, and IIT Delhi.

Publications

PICO: Reconstructing 3D People In Contact with Objects

Alpár Cseke, Shashank Tripathi, Sai Kumar Dwivedi, Arjun S. Lakshmipathy, Agniv Chatterjee, Michael J. Black, Dimitrios Tzionas

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Project Page arXiv Code

DECO: Dense Estimation of 3D Human-Scene Contact In The Wild

Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, Hongwei Yi, Dimitrios Tzionas, Michael J. Black

International Conference on Computer Vision (ICCV), 2023 Oral

Project Page arXiv Code

TrichANet: An Attentive Network for Trichogramma Classification

Agniv Chatterjee, Snehashis Majhi, Vincent Calcagno, François Brémond

International Conference on Computer Vision Theory and Applications (VISAPP), 2023 Oral

Paper Code

An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation

Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee

IEEE International Symposium on Biomedical Imaging (ISBI), 2022

arXiv Code

PY-Net: Rethinking Segmentation Frameworks with Dense Pyramidal Operations for Optic Disc and Cup Segmentation from Retinal Fundus Images

Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee, Dwipayan Paul, Saptarshi Chatterjee, Debangshu Dey

Biomedical Signal Processing and Control, Vol. 85, Elsevier, 2023

ScienceDirect

Experience

University of Texas at Austin Aug 2024 – Present

Graduate Research Assistant — Dept. of Computer Science

Joint reconstruction of full-body humans and objects from natural images, advised by Dr. Georgios Pavlakos.

Max Planck Institute for Intelligent Systems, Tübingen Dec 2021 – Jun 2025

Undergraduate Research Intern — Perceiving Systems

Developed DECO, a vertex-level human contact annotation tool and contact detection framework (ICCV 2023, Oral). Subsequently developed PICO for joint human-object mesh reconstruction using contact constraints (CVPR 2025). Advised by Dr. Michael Black.

INRIA, Sophia Antipolis May 2022 – Aug 2022

Undergraduate Research Intern — STARS Team

Built a combined detection-classification pipeline for Trichogramma wasp species identification from microscopy images (VISAPP 2023, Oral).

Indian Institute of Science Jan 2021 – May 2023

Undergraduate Research Intern — Spire Lab

Neurological disorder diagnosis (ALS / Parkinson's disease) via phoneme utterance audio analysis, advised by Dr. Prasanta Ghosh.

Indian Institute of Technology, Delhi Aug 2021 – Sep 2022

Undergraduate Research Intern

Automatic pose identification and yoga asana recommendation using deep learning, advised by Dr. Brejesh Lall.

Jadavpur University — Dept. of Electrical Engineering May 2021 – Mar 2023

Undergraduate Research Assistant

Glaucoma detection from optical fundus images using deep learning (PY-Net, Elsevier BSPC 2023), advised by Dr. Debangshu Dey.

Agniv Chatterjee

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