Hello, I'm Siddharth!

I am a graduate student at UC Merced working under Prof. Ming-Hsuan Yang at the intersection of computer vision and generative AI.

In the past, I have worked on various exciting problems including image generation for autonomous driving, 3D human avatars, and image forensics. Feel free to reach out to chat about exciting research projects.

During my research life, I have had the opportunity to collaborate with some amazing researchers and mentors at the Max Planck Institute for Informatics and Indian Institute of Science.

I am actively seeking full-time opportunities. If my experience aligns with your team's needs, feel free to reach out!

Siddharth Seth

News

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

October 2024: Our work on 3D human avatars was 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 at Max Planck Institute.

April 2022: Our work on Image Forensics was accepted at CVPR 2022.

April 2022: Promoted to Senior Data Scientist at Verisk Analytics.

March 2022: Our work on 3D human pose estimation was accepted at CVPR 2022.

October 2021: Our work on unsupervised person re-identification was accepted at BMVC 2021.

September 2021: Our work on 3D human pose estimation was 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.

Experience

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Robert Bosch
Research Intern
May 2024 - Aug 2024

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University of California, Merced
Research Assistant
Aug 2023 - April 2024

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Max Planck Institue for Informatics
Research Intern
Dec 2022 - May 2023

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Verisk Analytics
Senior Data Scientist
Sep 2021 - Nov 2022

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Intel Labs
Graduate Technical Intern
Jan 2021 - July 2021

Selected Publications

WACV 2025
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

Winter Conference on Applications of Computer Vision (WACV), 2025

Project Page | Paper
CVPR2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth*, Pradyumna YM*, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu

Computer Vision and Pattern Recognition (CVPR), 2022

Project Page | Paper
BMVC 2021
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification Siddharth Seth, Akash Sonth, Anirban Chakraborty

British Machine Vision Conference (BMVC), 2021

Project Page | Paper
NeurIPS 2021
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Varun Jampani, R. Venkatesh Babu, Anirban Chakraborty

Neural Information Processing Systems (NeurIPS), 2021

Project Page | Paper
CVPR 2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis Siddharth Seth*, Jogendra Nath Kundu*, Varun Jampani, Rakesh Mugalodi, R. Venkatesh Babu, Anirban Chakraborty

Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)

Project Page | Paper
AAAI 2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Siddharth Seth*, Jogendra Nath Kundu*, Rahul M. Venkatesh*, Rakesh Mugalodi, R. Venkatesh Babu, Anirban Chakraborty

Association for the Advancement of Artificial Intelligence (AAAI), 2020 (Oral)

Project Page | Paper

Conference Reviewer

NeurIPS '25 '24, CVPR '25 '24, ICLR '25, AISTATS '25, WACV '25, ACMM '24, AAAI '22 '21

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