Siddharth Ancha

25 papers A* 3A 1Misc 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation.
CoRR
Siddharth Ancha, Sunshine Jiang, Travis Manderson, Laura Brandt, Yilun Du, Philip R. Osteen, Nicholas Roy
2025 A* conf
Anomalies-by-Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation.
ICRA
Sunshine Jiang, Siddharth Ancha, Travis Manderson, Laura Brandt, Yilun Du, Philip R. Osteen, Nicholas Roy
2025 J jnl
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories.
CoRR
Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha
2024 J jnl
Active velocity estimation using light curtains via self-supervised multi-armed bandits.
Auton. Robots
Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2024 A* conf
Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles.
ICRA
Siddharth Ancha, Philip R. Osteen, Nicholas Roy
2024 J jnl
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy.
IEEE Trans. Robotics
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2024 J jnl
Robot Safety Monitoring using Programmable Light Curtains.
CoRR
Karnik Ram, Shobhit Aggarwal, Robert Tamburo, Siddharth Ancha, Srinivasa G. Narasimhan
2023 — conf
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits.
Robotics: Science and Systems
Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2023 J jnl
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits.
CoRR
Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2023 J jnl
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy.
CoRR
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2021 — conf
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees.
Robotics: Science and Systems
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
2021 J jnl
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees.
CoRR
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
2021 A* conf
Exploiting & Refining Depth Distributions With Triangulation Light Curtains.
CVPR
Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan
2020 — conf
Active Perception Using Light Curtains for Autonomous Driving.
ECCV (5)
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
2020 J jnl
Active Perception using Light Curtains for Autonomous Driving.
CoRR
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
2020 J jnl
Robust Instance Tracking via Uncertainty Flow.
CoRR
Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held
2020 A conf
Uncertainty-aware Self-supervised 3D Data Association.
IROS
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
2020 J jnl
Uncertainty-aware Self-supervised 3D Data Association.
CoRR
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
2019 Misc conf
Combining Deep Learning and Verification for Precise Object Instance Detection.
CoRL
Siddharth Ancha, Junyu Nan, David Held
2019 J jnl
Combining Deep Learning and Verification for Precise Object Instance Detection.
CoRR
Siddharth Ancha, Junyu Nan, David Held
2018 — conf
Autofocus Layer for Semantic Segmentation.
MICCAI (3)
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
2018 J jnl
Autofocus Layer for Semantic Segmentation.
CoRR
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori
2016 — conf
Lifted Auto-Context Forests for Brain Tumour Segmentation.
BrainLes@MICCAI
Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi
2016 — conf
Measuring the reliability of MCMC inference with bidirectional Monte Carlo.
NIPS
Roger B. Grosse, Siddharth Ancha, Daniel M. Roy
2016 J jnl
Measuring the reliability of MCMC inference with bidirectional Monte Carlo.
CoRR
Roger B. Grosse, Siddharth Ancha, Daniel M. Roy