Qin Han is a first-year master’s student in the MSCV program at CMU. Prior to this, she earned her bachelor’s degree in Computer Science from Peking University. Her research interests focus on 3D vision, particularly in neural scene representation, neural rendering, and dynamic motion modeling, along with 3D vision-assisted robotic manipulation.

Anisha Jain is a graduate student at Carnegie Mellon University currently pursuing her Master of Science in Computer Vision. She completed her undergraduate degree from National Institute of Technology, Warangal. Prior to joining CMU, she worked at Microsoft on phish and spam campaign detection in mail flow. Her current research interests lie in the intersection of Machine Learning and Computer Vision.

Shubhika Garg is a graduate student at the Robotics Institute, Carnegie Mellon University and she is pursuing a Masters in Computer Vision. She completed her undergraduate degree in Mathematics and Computing from the Indian Institute of Technology Kharagpur, India. Her research interests are in the domain of 3D Computer Vision, Generative AI and Computer Graphics.


Prof Lazlo A Jeni is an Assistant Research Professor in the Robotics Institute at Carnegie-Mellon University. His research interests are in Computer Vision, Digital Humans, and Computational Behavior Science, specifically in areas of modeling, understanding, and synthesizing human motion and behavior using diverse sensors. He is also heading the CUBE Lab.

Dr Michael Zollhoefer is a director and research scientist at Meta Reality Labs. The goal of his research is to enable fully immersive remote communication and interaction in the virtual world at a level that is indistinguishable from reality.

Dr. Christian Richardt is a Research Scientist at Meta Reality Labs. His research interests cover the fields of image processing, computer graphics and computer vision, and his research combines insights from vision, graphics and perception to reconstruct visual information from images and videos, to create high-quality visual experiences with a focus on 6-degree-of-freedom VR video.