Scholar
Agniv Chatterjee
Google Scholar ID: C69lK0gAAAAJ
Student
Citations & Impact
Citations
136
H-index
4
i10-index
3
Publications
5
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'DECO: Dense Estimation of 3D Human-Scene Contact In The Wild' accepted at International Conference on Computer Vision (ICCV), 2023 (Oral). Paper 'TrichANet: An Attentive Network for Trichogramma Classification' accepted for oral presentation at International Conference on Computer Vision Theory and Applications (VISAPP), 2023. Paper 'PICO: Reconstructing 3D People In Contact with Objects' accepted at Conference on Computer Vision and Pattern Recognition (CVPR), 2025. Paper 'An Exceedingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation' proposed a method leveraging segmentation of the interpolation of two unlabeled data for Semi-Supervised Cardiac MRI segmentation.
Research Experience
- Undergraduate Research Intern at Max Planck Institute for Intelligent Systems, Tübingen, December 2021 - Present. Developed a discrete contact annotation tool for vertex-level contact annotation, created a vertex-level human contact dataset, and developed a framework for the detection of contact from natural images of humans. This work has been accepted at ICCV 2023. Also part of a project to jointly reconstruct human and object meshes from natural images, which has been accepted at CVPR 2025. Undergraduate Research Intern at INRIA, Sophia Antipolis, STARS Team, May 2022 - August 2022. Developed a combined detection-classification pipeline for High-Resolution images of Trichogramma wasps, published at VISAPP 2023. Undergraduate Research Intern at Indian Institute of Science, Spire Lab, January 2021 - May 2023. Developed a framework for the diagnosis of patients as ALS/PD or Normal based on phoneme utterance audios. Undergraduate Research Intern at Indian Institute of Technology, Delhi, August 2021 - September 2022. Developed a framework for Automatic Pose Identification and Recommendation for Yoga asanas. Undergraduate Research Assistant at Department of Electrical Engineering, May 2021 – March 2023. Performed independent research on Glaucoma detection using deep learning methods, published in Biomedical Signal Processing and Control, Elsevier.
Education
- Bachelor of Electrical Engineering from Jadavpur University, Sept 2019 - June 2023, CGPA: 8.7/10.0; Ph.D. in Computer Science from the University of Texas at Austin, August 2024 - present, GPA: 4.0/4.0.
Background
- 2nd year doctoral student at the University of Texas at Austin, under the supervision of Dr. Georgios Pavlakos. Research area is understanding how humans interact with their surroundings, especially with objects, and quantifying this interaction using 3D representations. Worked on projects in Pose Classification and Contact Estimation, Tiny Object Detection and Classification, Audio Classification, and Biomedical Image Segmentation.
Co-authors