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. I hold a B.E. degree in Computer Engineering from the University of Delhi and have had the fortune to work at amazing companies - Google Research, Argo AI, Staqu Technologies.

News
[07/22] Detecting Invisible People was covered by NBC Universal!
[01/22] I'll be at Google Research this summer, working with Alireza Fathi and Cordelia Schmid!
[07/21] My favorite work, Detecting Invisible People, was accepted to ICCV '21!
[04/21] I accepted CMU's PhD offer for Fall '21!
[07/20] The ECCV TAO Challenge is now live!
[07/20] TAO was accepted to ECCV '20 as a spotlight paper! Check out the manuscript.
[04/20] I'll be at Argo AI for the summer as a Research Intern!
[02/20] Our workshop titled, 'Object Tracking and its Many Guises' was accepted at ECCV 2020!
Recent Work
Differentiable Raycasting for Self-supervised Planning
Tarasha Khurana*, Peiyun Hu*, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
European Conference on Computer Vision (ECCV), '22.
[pdf] [project page] [code]
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Videos
Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan
In Submission.
[arXiv] [benchmark & API]
Detecting Invisible People
Tarasha Khurana, Achal Dave, Deva Ramanan
International Conference on Computer Vision (ICCV), '21.
[arXiv] [project page] [code]
Detecting Invisible People's media coverage by NBC Universal.
[article]
TAO: A Large-Scale Benchmark for Tracking Any Object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
European Conference on Computer Vision (ECCV) '20. Spotlight.
[arXiv] [project page] [workshop] [dataset]
Exploiting Texture Cues for Clothing Parsing in Fashion Images
Tarasha Khurana, Kushagra Mahajan, Chetan Arora, Atul Rai
25th IEEE International Conference on Image Processing (ICIP) '18.
[pdf] [poster] [Xplore]
Pose Aware Fine Grained Visual Classification Using Pose Experts
Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, Atul Rai
25th IEEE International Conference on Image Processing (ICIP) '18.
[pdf] [poster] [Xplore]


I also have experience in the following research topics - earth observation, audio-video lip reading, lung cancer prediction, table detection in documents, text recognition, adversarial example generation.