Poorvi is a Masters in Computer Vision (MSCV) student in the Robotics Institute at Carnegie Mellon University, advised by Prof. Shubham Tulsiani. She is currently working on extending the pipeline to include articulating objects given an RGBD video.
She completed her undergraduate education with a Major (with Honors) in Computer Science and Minor in Physics from Indian Institute of Technology, Bombay in 2021. Her experience includes working as a Quantitative Risk Analyst at Goldman Sachs, and interning with the Recommender Systems team at Google Research.
Yufei Ye (Website | Google Scholar | Github)
Yufei is a PhD student in Robotics Institute at Carnegie Mellon University, advised by Abhinav Gupta and Shubham Tulsiani. She is Poorvi’s mentor in the capstone project and helps her with brainstorming and clarifications regarding the subject.
Prior to CMU, she received her Bachelor degree majoring in Computer Science from Tsinghua Universtiy where she worked with Shi-Min Hu. Her research mainly focuses on 3D computer vision, especially perceiving everyday’s interactions. She also recently received NVIDIA Graduate Fellowship (2022-23).
Shubham Tulsiani (Website | Google Scholar)
Shubham is an Assistant Professor at Carnegie Mellon University in the Robotics Institute, where he is a part of the Computer Vision group. He is the advisor in this capstone project.
He is interested in building perception systems that can infer the spatial and physical structure of the world they observe. Prior to joining CMU, he was a Research Scientist at FAIR, Pittsburgh working with Abhinav Gupta. He previously graduated from UC, Berkeley where he was advised by Jitendra Malik, and also frequently collaborated with Alyosha Efros.