Kaustubh Mani

According to our database1, Kaustubh Mani authored at least 10 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception.
CoRR, 2021

2020
MonoLayout: Amodal scene layout from a single image.
CoRR, 2020

Mono Lay out: Amodal scene layout from a single image.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

AutoLay: Benchmarking amodal layout estimation for autonomous driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Learning Adaptive Driving Behavior Using Recurrent Deterministic Policy Gradients.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018
Multi-Document Summarization Using Distributed Bag-of-Words Model.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Multi-Document Summarization using Distributed Bag-of-Words Model.
CoRR, 2017


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