Khaled S. Refaat

According to our database, Khaled S. Refaat authored at least 16 papers between 2008 and 2024.

Collaborative distances:

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

2024

CausalAgents: A Robustness Benchmark for Motion Forecasting.

Liting Sun, Rebecca Roelofs, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints.

Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, Congcong Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MotionLM: Multi-Agent Motion Forecasting as Language Modeling.

Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships.

Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai

CoRR, 2022

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction.

Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2019

Agent Prioritization for Autonomous Navigation.

Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2015

An Upper Bound on the Global Optimum in Parameter Estimation.

Khaled S. Refaat, Adnan Darwiche

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Data Compression for Learning MRF Parameters.

Khaled S. Refaat, Adnan Darwiche

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Decomposing Parameter Estimation Problems.

Khaled S. Refaat, Arthur Choi, Adnan Darwiche

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

EDML for Learning Parameters in Directed and Undirected Graphical Models.

Khaled S. Refaat, Arthur Choi, Adnan Darwiche

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

New Advances and Theoretical Insights into EDML.

Khaled S. Refaat, Arthur Choi, Adnan Darwiche

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

EDML: A Method for Learning Parameters in Bayesian Networks.

Arthur Choi, Khaled S. Refaat, Adnan Darwiche

Proceedings of the UAI 2011, 2011

2010

Efficient Stochastic Analysis of Real-Time Systems via Random Sampling.

Khaled S. Refaat, Pierre-Emmanuel Hladik

Proceedings of the 22nd Euromicro Conference on Real-Time Systems, 2010

2009

Hand-Drawn Shape Recognition Using the SVM'ed Kernel.

Khaled S. Refaat, Amir F. Atiya

Proceedings of the Artificial Neural Networks, 2009

2008

A new approach for context-independent handwritten offline diagram recognition using support vector machines.

Khaled S. Refaat, Wael N. Helmy, AbdelRahman H. Ali, Mohamed S. AbdelGhany, Amir F. Atiya

Proceedings of the International Joint Conference on Neural Networks, 2008