Payam Nikdel - RankMe

17 papers A* 4A 2Misc 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRL Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2024	J	`jnl`	Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRR Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2023	A*	`conf`	DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network. ICRA Payam Nikdel, Mohammad Mahdavian, Mo Chen
2023	A*	`conf`	STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead. ICRA Mohammad Mahdavian, Payam Nikdel, Mahdi Taherahmadi, Mo Chen
2022	J	`jnl`	DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network. CoRR Payam Nikdel, Mohammad Mahdavian, Mo Chen
2022	Misc	`conf`	Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRL Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022	J	`jnl`	Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRR Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022	A	`conf`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	J	`jnl`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	J	`jnl`	STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead. CoRR Mohammad Mahdavian, Payam Nikdel, Mahdi Taherahmadi, Mo Chen
2021	A*	`conf`	LBGP: Learning Based Goal Planning for Autonomous Following in Front. ICRA Payam Nikdel, Richard Vaughan, Mo Chen
2020	J	`jnl`	LBGP: Learning Based Goal Planning for Autonomous Following in Front. CoRR Payam Nikdel, Richard Vaughan, Mo Chen
2020	—	`conf`	Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. CRV Payam Nikdel, Mo Chen, Richard Vaughan
2020	A	`conf`	Relational Graph Learning for Crowd Navigation. IROS Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
2019	J	`jnl`	Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. CoRR Payam Nikdel, Richard Vaughan
2019	J	`jnl`	Relational Graph Learning for Crowd Navigation. CoRR Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
2018	A*	`conf`	The Hands-Free Push-Cart: Autonomous Following in Front by Predicting User Trajectory Around Obstacles. ICRA Payam Nikdel, Rakesh Shrestha, Richard Vaughan