Siddharth Seth

I am a graduate student in the Vision and Learning Lab at UC Merced working under Prof. Ming-Hsuan Yang. Earlier, I graduated with a Masters from the Indian Institute of Science, where I worked under the supervision of Dr. Anirban Chakraborty and Prof. R. Venkatesh Babu.

Email / Google Scholar / Github / LinkedIn

Research

I am interested in computer vision and machine learning, particularly 2D/3D generation. In the past, I have also worked on 3D human pose estimation and person re-identification.

News

November 2024. Recognized as one of the top reviewers for NeurIPS 2024

October 2024. Our work on modeling 3D human avatars with loose clothing has been accepted at WACV 2025

June 2024. Attending CVPR 2024 in Seattle. Excited!

May 2024. Joined Bosch USA as a Research Intern

August 2023. Joined Vision and Learning Lab as a PhD student

December 2022. Started as a Research Intern in the VCAI department at the Max Planck Institute for Informatics

April 2022. Our work on Image Forensics has been accepted at the Media Forensics Workshop, CVPR 2022

April 2022. Promoted to Senior Data Scientist at Verisk Analytics

March 2022. Our work on 3D human pose estimation has been accepted at CVPR 2022

October 2021. Our work on unsupervised person re-identification has been accepted at BMVC 2021

September 2021. Our work on 3D human pose estimation has been accepted at NeurIPS 2021

September 2021. Started as AI/ML Engineer at Verisk Analytics in the AI R&D team

January 2021. Joining Intel Labs, Bengaluru as a Graduate Technical Intern

August 2020. Our research was highlighted in IISc Featured Research space

July 2020. Attending LxMLS 2020 virtually

June 2020. Attending CVPR virtually

February 2020. Attending AAAI in New York

February 2020. Our paper on 3D human pose estimation has been accepted at CVPR 2020

November 2020. Our paper on 3D human pose estimation has been accepted at AAAI 2020

Publications

	PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing Siddharth Seth, Rishabh Dabral, Diogo C Luvizon Marc Habermann, Ming-Hsuan Yang, Christian Theobalt, Adam Kortylewski, WACV, 2025 Project page / Paper
	Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty R. Venkatesh Babu, CVPR, 2022 Project page / Paper
	Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification Siddharth Seth, Akash Sonth, Anirban Chakraborty BMVC, 2021 Project page / Paper
	Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, R. Venkatesh Babu, Anirban Chakraborty NeurIPS, 2021 Project page / Paper
	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Rakesh Mugalodi, R. Venkatesh Babu, Anirban Chakraborty CVPR, 2020 (Oral) Project page / Paper
	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Rahul M. Venkatesh, Rakesh Mugalodi, R. Venkatesh Babu, Anirban Chakraborty AAAI*, 2020 (Oral) Project page / Paper

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