I am working on perception problems for Optimus, Tesla's humanoid robot. I got my PhD in Robotics 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.

[10/25] I started at Tesla. The energy around is electric!
[09/25] I defended my PhD thesis! Recording is available here and draft is here.
[09/25] Kaihua's work CogNVS was accepted at NeurIPS '25! He is looking for PhD positions.
[06/25] Zihan's work on sparse-view reconstruction was accepted to ICCV '25!
[06/25] I was selected for the CVPR 2025 Doctoral Consortium. A summary of my PhD work is here.
[04/25] I gave a guest lecture in CMU's 16-720: Introduction to Computer Vision. Slides are here.
[02/25] Kaihua's work on video amodal segmentation was accepted at CVPR '25!
[12/24] Our workshop on 4D Vision: Modeling the Dynamic World was accepted at CVPR '25. I'm serving as the Program Chair.
[03/24] We launched the 2nd iteration of Argoverse2.0 Occupancy Forecasting Challenge.
[02/24] I'll be at the Boston Dynamics AI Institute this summer.
[08/23] I was chosen as a Rising Star in EECS!
[07/23] I gave a talk on building 4D foundation models at Waabi AI.
[06/23] We are all set to organize the Argoverse2.0 Challenges at CVPR 2023!
[03/23] Our work on 4D occupancy forecasting was accepted to CVPR 2023!
[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.

CV   /   Google Scholar   /   tarasha@cmu.edu

	Reconstruct, Inpaint, Finetune: Dynamic Novel-view Synthesis from Monocular Videos Kaihua Chen*, Tarasha Khurana*, Deva Ramanan. Neural Information Processing Systems (NeurIPS), '25. [pdf] [project page] [code]
	MonoFusion: Sparse-view 4D Reconstruction via Monocular Fusion Zihan Wang, Jeff Tan, Tarasha Khurana*, Neehar Peri*, Deva Ramanan. International Conference on Computer Vision (ICCV), '25. [pdf] [code]
	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]