Cheng-Yen Hsieh

Cheng-Yen Hsieh is a student at Master of Science in Computer Vision (MSCV), Carnegie Mellon University (CMU) advised by Prof. Deva Ramanan. His research interests focus on Computer Vision and Machine Learning, including topics ranging from self-supervised representation learning, federated learning, segmentation, and object tracking.

Github, Google Scholar, Linkedin, Email:

Project Responsibility:

Develop amodal detection & tracking methods;
Implementation of segmentation, detection, and tracking;
Idea discussion and experiments design;
Experiments on TAO-Amodal Dataset;


Tarasha Khurana

I am a Ph.D. student at The Robotics Institute, Carnegie Mellon University advised by Prof. Deva Ramanan. My research focus is broadly on spatiotemporal 3D scene understanding. Previously, during my Masters at CMU RI, I worked on estimating and exploiting 3D scene geometry from single images, to reason about occlusions and densify sparse depth input.

Achal Dave

Hi! I’m a Research Scientist at Toyota Research Institute. Previously, I was an Applied Scientist at Amazon, before which I was a Ph.D. student at Carnegie Mellon University advised by Prof. Deva Ramanan, working on open-world object detection and tracking.

Deva Ramanan

Robotics Institute
Carnegie Mellon University

Deva Ramanan is a Professor in the Robotics Institute at Carnegie-
Mellon University. His research interests span computer vision and machine learning, with
a focus on visual recognition.