Tarasha Khurana (original) (raw)

Tarasha Khurana

I am a Ph.D. candidate at The Robotics Institute, Carnegie Mellon University advised by Prof. Deva Ramanan. My research focus is broadly on spatiotemporal 4D scene understanding and its applications. Previously, I did my Masters in Robotics at CMU and Bachelors in Computer Engineering at University of Delhi.

I have had the fortune to work at amazing companies - Boston Dynamics AI Institute, Google Research, Argo AI, Staqu Technologies.

I am a trained Kathak dancer, and Hindustani classical vocalist. I love baking, taking care of plants, and hiking. My life is made easier by my husband, Akash Sharma, who does research in robotics.

Looking for an undergrad / masters student for Summer-Fall 2025 to work in 4D forecasting. E-mail me, especially if you are at CMU!

Recent Work

	Why is Sparse-View 4D Reconstruction Hard? Zihan Wang, Jeff Tan, Tarasha Khurana*, Neehar Peri*, Deva Ramanan. In submission.
	Using Diffusion Priors for Video Amodal Segmentation Kaihua Chen, Deva Ramanan, Tarasha Khurana IEEE/CVF Conferece on Computer Vision and Pattern Recognition (CVPR), '25. [**pdf**] [**project page**] [**code**]
	Predicting Long-horizon Futures by Conditioning on Geometry and Time Tarasha Khurana, Deva Ramanan arXiv preprint arXiv:2404.11554, 2024. [**pdf**] [**project page**]
	TAO-Amodal: A Benchmark for Tracking any Object Amodally Cheng-Yen Hseih, Kaihua Chen, Achal Dave, Tarasha Khurana, Deva Ramanan arXiv preprint arXiv:2312.12433, 2023. [**pdf**] [**project page**] [**code**]
	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 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [**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.