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2020 – today
- 2022
[c13]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR 2022: 559-575- [c12]Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. ICLR 2022 - [c11]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS 2022: 1000-1007 - [c10]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. IROS 2022: 8173-8180 - [i17]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR abs/2203.15788 (2022) - [i16]Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. CoRR abs/2204.08945 (2022) - [i15]Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LaTTe: Language Trajectory TransformEr. CoRR abs/2208.02918 (2022) - [i14]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. CoRR abs/2209.10986 (2022) - [i13]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR abs/2209.11133 (2022) - [i12]Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor:
Learning Modular Simulations for Homogeneous Systems. CoRR abs/2210.16294 (2022) - [i11]Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren:
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR abs/2211.15286 (2022) - 2021
- [j2]Sai Vemprala
, Srikanth Saripalli:
Collaborative Localization for Micro Aerial Vehicles. IEEE Access 9: 63043-63058 (2021) - [c9]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. ICRA 2021: 9943-9949 - [c8]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. NeurIPS 2021: 4712-4724 - [c7]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS 2021: 15270-15284 - [i10]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. CoRR abs/2103.00806 (2021) - [i9]Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry:
3DB: A Framework for Debugging Computer Vision Models. CoRR abs/2106.03805 (2021) - [i8]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR abs/2106.13364 (2021) - 2020
- [j1]Adrian Carrio, Jesus Tordesillas, Sai Vemprala, Srikanth Saripalli, Pascual Campoy, Jonathan P. How:
Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access 8: 30480-30490 (2020) - [c6]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS 2020: 6245-6251 - [i7]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR abs/2001.08198 (2020) - [i6]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. CoRR abs/2003.05654 (2020) - [i5]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. CoRR abs/2011.00095 (2020) - [i4]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. CoRR abs/2012.12235 (2020)
2010 – 2019
- 2019
- [c5]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - [i3]Sai Vemprala, Srikanth Saripalli:
Collaborative Localization for Micro Aerial Vehicles. CoRR abs/1905.02648 (2019) - 2018
- [c4]Sai Vemprala, Srikanth Saripalli:
Vision Based Collaborative Path Planning for Micro Aerial Vehicles. ICRA 2018: 1-7 - [c3]Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy:
Drone Detection Using Depth Maps. IROS 2018: 1034-1037 - [c2]Sai Vemprala, Srikanth Saripalli, Carlos Vargas, Martin Bues, Yanle Hu, Jiajian Shen:
Real-Time Tumor Tracking for Pencil Beam Scanning Proton Therapy. IROS 2018: 4434-4440 - [i2]Sai Vemprala, Srikanth Saripalli:
Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms. CoRR abs/1804.02510 (2018) - [i1]Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy:
Drone Detection Using Depth Maps. CoRR abs/1808.00259 (2018) - 2016
- [c1]Sai Vemprala, Srikanth Saripalli:
Vision based collaborative localization for multirotor vehicles. IROS 2016: 1653-1658
Coauthor Index
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