Yunpeng Liu

According to our database, Yunpeng Liu authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters.

Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

CoRR, 2024

Semantically Consistent Video Inpainting with Conditional Diffusion Models.

Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

CoRR, 2024

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning.

Jason Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss

CoRR, 2024

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning.

Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nearest Neighbour Score Estimators for Diffusion Generative Models.

Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Conditional Permutation Invariant Flows.

Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood

Trans. Mach. Learn. Res., 2023

Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models.

Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior

CoRR, 2023

Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images.

Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood

CoRR, 2023

A Diffusion-Model of Joint Interactive Navigation.

Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images.

Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Critic Sequential Monte Carlo.

Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Anticipating and eliminating redundant computations in accelerated sparse training.

Jonathan S. Lew, Yunpeng Liu, Wenyi Gong, Negar Goli, R. David Evans, Tor M. Aamodt

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Vehicle Type Specific Waypoint Generation.

Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022