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Siddharth Ancha
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2020 – today
- 2024
- [j1]Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held:
Active velocity estimation using light curtains via self-supervised multi-armed bandits. Auton. Robots 48(6-7): 15 (2024) - [i10]Karnik Ram, Shobhit Aggarwal, Robert Tamburo, Siddharth Ancha, Srinivasa G. Narasimhan
:
Robot Safety Monitoring using Programmable Light Curtains. CoRR abs/2404.03556 (2024) - 2023
- [c9]Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan
, David Held:
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits. Robotics: Science and Systems 2023 - [i9]Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan
, David Held:
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits. CoRR abs/2302.12597 (2023) - [i8]Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How:
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR abs/2311.06234 (2023) - 2021
- [c8]Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan
:
Exploiting & Refining Depth Distributions With Triangulation Light Curtains. CVPR 2021: 7434-7442 - [c7]Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan
, David Held:
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. Robotics: Science and Systems 2021 - [i7]Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held:
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. CoRR abs/2107.04000 (2021) - 2020
- [c6]Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held:
Active Perception Using Light Curtains for Autonomous Driving. ECCV (5) 2020: 751-766 - [c5]Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held:
Uncertainty-aware Self-supervised 3D Data Association. IROS 2020: 8125-8132 - [i6]Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held:
Active Perception using Light Curtains for Autonomous Driving. CoRR abs/2008.02191 (2020) - [i5]Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held:
Uncertainty-aware Self-supervised 3D Data Association. CoRR abs/2008.08173 (2020) - [i4]Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held:
Robust Instance Tracking via Uncertainty Flow. CoRR abs/2010.04367 (2020)
2010 – 2019
- 2019
- [c4]Siddharth Ancha, Junyu Nan, David Held:
Combining Deep Learning and Verification for Precise Object Instance Detection. CoRL 2019: 122-141 - [i3]Siddharth Ancha, Junyu Nan, David Held:
Combining Deep Learning and Verification for Precise Object Instance Detection. CoRR abs/1912.12270 (2019) - 2018
- [c3]Yao Qin, Konstantinos Kamnitsas
, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell
, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. MICCAI (3) 2018: 603-611 - [i2]Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. CoRR abs/1805.08403 (2018) - 2016
- [c2]Loïc Le Folgoc
, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi:
Lifted Auto-Context Forests for Brain Tumour Segmentation. BrainLes@MICCAI 2016: 171-183 - [c1]Roger B. Grosse, Siddharth Ancha, Daniel M. Roy:
Measuring the reliability of MCMC inference with bidirectional Monte Carlo. NIPS 2016: 2451-2459 - [i1]Roger B. Grosse, Siddharth Ancha, Daniel M. Roy:
Measuring the reliability of MCMC inference with bidirectional Monte Carlo. CoRR abs/1606.02275 (2016)
Coauthor Index
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last updated on 2024-08-18 23:09 CEST by the dblp team
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