Shubham Tulsiani

Shubham is a Research Scientist at FAIR Pittsburgh. Prior to that, he obtained his Ph.D. from UC, Berkeley where he was a part of the Computer Vision Group. Shubham is interested in learning about and inferring the structure underlying the visual world.

Shubham's Publications

April 07, 2020

RESEARCH

COMPUTER VISION

Object-centric Forward Modeling for Model Predictive Control

We present an approach to learn an object-centric forward model, and show that this allows us to plan for sequences of actions to achieve distant desired goals. We propose to model a scene as a collection of objects, each with an explicit…

Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani,

April 07, 2020

April 07, 2020

RESEARCH

Canonical Surface Mapping via Geometric Cycle Consistency

We explore the task of Canonical Surface Mapping (CSM). Specifically, given an image, we learn to map pixels on the object to their corresponding locations on an abstract 3D model of the category. But how do we learn such a mapping? A…

Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani,

April 07, 2020

April 07, 2020

RESEARCH

Order-Aware Generative Modeling Using the 3D-Craft Dataset

Research on 2D and 3D generative models typically focuses on the final artifact being created, e.g., an image or a 3D structure. Unlike 2D image generation, the generation of 3D objects in the real world is commonly constrained by the process…

Zhuoyuan Chen, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Haonan Yu, Jonathan Gray, Kavya Srinet, Haoqi Fan, Jerry Ma, Charles R. Qi, Shubham Tulsiani, Arthur Szlam, Larry Zitnick,

April 07, 2020