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.

[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!

CV   /   Google Scholar   /   tarasha@cmu.edu

	Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting Tarasha Khurana*, Peiyun Hu*, David Held, Deva Ramanan IEEE/CVF Conferece on Computer Vision and Pattern Recognition (CVPR), '23. [pdf] [project page] [code]
	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]