Sai Vemprala

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Temporally Consistent

Stereoscopic Images

Aerial Vehicles

Top Venues

Publications

Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV (2024)
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access 12 (2024)
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. ICRA (2024)
Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR (2023)
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
ConBaT: Control Barrier Transformer for Safe Policy Learning. CoRR (2023)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
LATTE: LAnguage Trajectory TransformEr. ICRA (2023)
Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor
GRID: A Platform for General Robot Intelligence Development. CoRR (2023)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS (2023)
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
ChatGPT for Robotics: Design Principles and Model Abilities. CoRR (2023)
Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
Learning Modular Simulations for Homogeneous Systems. CoRR (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. ICLR (2022)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR (2022)
Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. CoRR (2022)
Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
Learning Modular Simulations for Homogeneous Systems. NeurIPS (2022)
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. NeurIPS (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. IROS (2022)
Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. CoRR (2022)
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)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
LaTTe: Language Trajectory TransformEr. CoRR (2022)
Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR (2022)
Sai Vemprala, Ashish Kapoor
Adversarial Attacks on Optimization based Planners. ICRA (2021)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS (2021)
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 (2021)
Sai Vemprala, Sami Mian, Ashish Kapoor
Representation Learning for Event-based Visuomotor Policies. NeurIPS (2021)
Sai Vemprala, Srikanth Saripalli
Collaborative Localization for Micro Aerial Vehicles. IEEE Access 9 (2021)
Sai Vemprala, Sami Mian, Ashish Kapoor
Representation Learning for Event-based Visuomotor Policies. CoRR (2021)
Daniel J. 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 (2021)
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS (2020)
Sai Vemprala, Ashish Kapoor
Adversarial Attacks on Optimization based Planners. CoRR (2020)
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 (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. CoRR (2020)
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR (2020)
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 (2020)
Sai Vemprala, Srikanth Saripalli
Collaborative Localization for Micro Aerial Vehicles. CoRR (2019)
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)
Sai Vemprala, Srikanth Saripalli
Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms. CoRR (2018)
Sai Vemprala, Srikanth Saripalli
Vision Based Collaborative Path Planning for Micro Aerial Vehicles. ICRA (2018)
Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy
Drone Detection Using Depth Maps. IROS (2018)
Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy
Drone Detection Using Depth Maps. CoRR (2018)
Sai Vemprala, Srikanth Saripalli, Carlos Vargas, Martin Bues, Yanle Hu, Jiajian Shen
Real-Time Tumor Tracking for Pencil Beam Scanning Proton Therapy. IROS (2018)
Sai Vemprala, Srikanth Saripalli
Vision based collaborative localization for multirotor vehicles. IROS (2016)