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Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation


Jan 05, 2022
Vincent Mai, Kaustubh Mani, Liam Paull

* Submitted to ICLR 2022 

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$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception


Sep 28, 2021
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy, Hanju Lee, Liam Paull

* For more details about $f$-Cal, visit https://f-cal.github.io 

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AutoLay: Benchmarking amodal layout estimation for autonomous driving


Aug 20, 2021
Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

* published in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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MonoLayout: Amodal scene layout from a single image


Feb 19, 2020
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

* To be presented at WACV 2020 Video: https://www.youtube.com/watch?v=HcroGyo6yRQ Project page: https://hbutsuak95.github.io/monolayout 

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Multi-Document Summarization using Distributed Bag-of-Words Model


Jun 11, 2018
Kaustubh Mani, Ishan Verma, Hardik Meisheri, Lipika Dey


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BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification


Dec 02, 2016
Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra

* 8 pages, 10 figures, Submitted to IEEE TGRS, Code available at: https://github.com/kaustubh0mani/BASS-Net 

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