Siddharth Ancha

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Semantic Segmentation

Top Venues

Robotics: Science and Systems

IEEE Trans. Robotics

Publications

Karnik Ram, Shobhit Aggarwal, Robert Tamburo, Siddharth Ancha, Srinivasa G. Narasimhan
Robot Safety Monitoring using Programmable Light Curtains. CoRR (2024)
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) (2024)
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. IEEE Trans. Robotics 40 (2024)
Siddharth Ancha, Philip R. Osteen, Nicholas Roy
Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles. ICRA (2024)
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 (2023)
Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits. CoRR (2023)
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)
Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan
Exploiting & Refining Depth Distributions With Triangulation Light Curtains. CVPR (2021)
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. Robotics: Science and Systems (2021)
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. CoRR (2021)
Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held
Robust Instance Tracking via Uncertainty Flow. CoRR (2020)
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
Active Perception using Light Curtains for Autonomous Driving. CoRR (2020)
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
Uncertainty-aware Self-supervised 3D Data Association. IROS (2020)
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
Active Perception Using Light Curtains for Autonomous Driving. ECCV (5) (2020)
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
Uncertainty-aware Self-supervised 3D Data Association. CoRR (2020)
Siddharth Ancha, Junyu Nan, David Held
Combining Deep Learning and Verification for Precise Object Instance Detection. CoRL (2019)
Siddharth Ancha, Junyu Nan, David Held
Combining Deep Learning and Verification for Precise Object Instance Detection. CoRR (2019)
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
Autofocus Layer for Semantic Segmentation. MICCAI (3) (2018)
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
Autofocus Layer for Semantic Segmentation. CoRR (2018)
Roger B. Grosse, Siddharth Ancha, Daniel M. Roy
Measuring the reliability of MCMC inference with bidirectional Monte Carlo. CoRR (2016)
Roger B. Grosse, Siddharth Ancha, Daniel M. Roy
Measuring the reliability of MCMC inference with bidirectional Monte Carlo. NIPS (2016)
Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi
Lifted Auto-Context Forests for Brain Tumour Segmentation. BrainLes@MICCAI (2016)