Shubham Tulsiani

Shubham Tulsiani is an Assistant Professor at Carnegie Mellon University's Robotics Institute and part of the Computer Vision group. His research focuses on building perception systems that infer spatial and physical structures from visual data, with applications in 3D vision and robotics.

• University: Carnegie Mellon University
• Academic Rank: Assistant Professor
• Research Group: Computer Vision

His work emphasizes reducing reliance on manual supervision by leveraging physical world structure as a 'meta-supervisory' signal. Recent publications at CVPR, ECCV, and NeurIPS explore diffusion models for 3D reconstruction, physics-aware neural networks, and video-based perception systems.

Scientific recognition includes:

• Best Student Paper Award, CVPR 2015
• Finalist for Best Paper Award in Robot Manipulation, ICRA 2024

The group actively mentors PhD and MS students, with current advisees including Hanzhe Hu, Himangi Mittal, Qitao Zhao, and Yehonathan Litman. Former students like Yufei Ye and Homanga Bharadhwaj have moved to postdoctoral positions at Stanford and Meta respectively.