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Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik International Journal of Computer Vision (IJCV), 2019 abstract / bibtex / website / arXiv link / code+simulation environment. We introduce a neural architecture for navigation in novel environments.
Saurabh Gupta, Ross Girshick, Pablo Arbel´aez, and Jitendra Malik. Learning rich fea-tures from RGB-D images for object detection and segmentation. In European Conference on Computer Vision (ECCV), 2014. (Acceptance rate: 27.9%.) 6. 6. Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, and Margaret Mitchell. Language models for image captioning: The quirks and what
Scaling up Robot Learning by Understanding Internet Videos. This NSF-funded project seeks to develop techniques to understand videos so as to scale up policy learning for robots. We are pursuing a four step approach: Collection and curation of appropriate video datasets. Development of techniques for video understanding that enable policy learning.
CS543/ECE549 Computer Vision (Spring 2024) Instructor: Saurabh Gupta. TAs: David Yao (dyyao2), Refik Mert Cam (rcam2), Xiaodan Hu (xiaodan8), Shun-Hsiang Hsu (hsus2) Lecture Times: 09:30AM - 10:45AM on Wednesdays and Fridays. Lecture Location: 1404 Siebel Center For Computer Science.
Arjun Gupta (ECE BS 2021), next PhD student at UIUC. Sahil Modi (CS BS 2021), next BS+MS student at UIUC. Sanjeev Venkatesan (CS BS 2021), next MS student at USC. Rohini Sharma (CS BS 2022) next Microsoft. Peiyi Chen (ECE BS 2022), next Meta. Max E.Shepherd (ECE BS 2023). Pranav Kumar (CS BS 2024).
Arjun Gupta, Max Shepherd, Saurabh Gupta International Conference on Robotics and Automation (ICRA), 2023 webpage / dataset. Abstract: Mobile manipulation tasks such as opening a door, pulling open a drawer, or lifting a toilet lid require constrained motion of the end-effector under environmental and task constraints. This, coupled with ...
Mar 31, 2021 · CS543/ECE549 Computer Vision (Spring 2021) Instructor: Saurabh Gupta. TAs: Wilfredo Torres Calderon (trrscld2), Bowen Cheng (bcheng9), Amir Ibrahim (aaelsay2) Lecture Times: Wednesday/Friday 11:00AM - 12:15PM. Lecture Location: Zoom Meeting ID: 99531780977, password: 111000. Illinois login needed. Break-out Discussion Question.
Instructor: Saurabh Gupta (saurabhg) TAs: Anshul Bheemreddy (anshulb3), Chaoran Cheng (chaoran7), Xiaodan Hu (xiaodan8), Yana Zhao (yuanyaz2). Lecture Times: 11:00AM - 12:15AM on Wednesdays and Fridays. Lecture Location: 1310 Digital Computer Laboratory.
Abstract In this paper, we address the problems of contour detection, bottom-up grouping, object detec-tion and semantic segmentation on RGB-D data. We fo-cus on the challenging setting of cluttered indoor scenes, and evaluate our approach on the recently introduced NYU-Depth V2 (NYUD2) dataset [45].
Aug 23, 2022 · Be able to critique recent literature in robot learning. Be able to design machine learning sub-systems for robotics problems taking design consideration into account. Be able to design experiments, conduct analysis, and compile experimental findings to validate different learning approaches.
