Hengbo Ma

According to our database, Hengbo Ma authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data.

Seung-geun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee

CoRR, 2024

CMP: Cooperative Motion Prediction with Multi-Agent Communication.

Zhuoyuan Wu, Yuping Wang, Hengbo Ma, Zhaowei Li, Hang Qiu, Jiachen Li

CoRR, 2024

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation.

Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer

CoRR, 2024

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models.

Seung-geun Chi, Hyung-Gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.

Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking.

Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka

IEEE Trans. Intell. Transp. Syst., 2022

EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.

Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer

CoRR, 2022

Learning Physical Dynamics with Subequivariant Graph Neural Networks.

Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross Domain Robot Imitation with Invariant Representation.

Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li

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

Important Object Identification with Semi-Supervised Learning for Autonomous Driving.

Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi

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

Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments.

Hengbo Ma, Bike Zhang, Masayoshi Tomizuka, Koushil Sreenath

Proceedings of the European Control Conference, 2022

Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation.

Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, Chiho Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory.

Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka, Chiho Choi

IEEE Robotics Autom. Lett., 2021

Speed Planning Using Bezier Polynomials with Trapezoidal Corridors.

Jialun Li, Xiaojia Xie, Hengbo Ma, Xiao Liu, Jianping He

CoRR, 2021

Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge.

Hengbo Ma, Yaofeng Sun, Jiachen Li, Masayoshi Tomizuka

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spectral Temporal Graph Neural Network for Trajectory Prediction.

Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting.

Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.

Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka

CoRR, 2020

Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference.

Liting Sun, Zheng Wu, Hengbo Ma, Masayoshi Tomizuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction.

Hengbo Ma, Jiachen Li, Wei Zhan, Masayoshi Tomizuka

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling.

Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Conditional Generative Neural System for Probabilistic Trajectory Prediction.

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

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

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning.

Jiachen Li, Hengbo Ma, Masayoshi Tomizuka

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real.

Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Quality Inspection of Remote Radio Unit (RRU) Power Port Using IBVS.

Ali Anwar, Xiaoke Deng, Hengbo Ma, Weiyang Lin, Huijun Gao

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017

Tracking the power port of remote radio unit (RRU) using computer vision.

Ali Anwar, Weiyang Lin, Hengbo Ma, Huijun Gao, Wenbo Dong, Chenglu Liu

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017