Xiao Ma
Xiao Ma
Research Scientist, SEA AI Lab
Verified email at - Homepage
Cited by
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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
C Yu*, X Ma*, J Ren, H Zhao, S Yi
European Conference on Computer Vision (ECCV), 2020
Balanced meta-softmax for long-tailed visual recognition
J Ren, C Yu, S Sheng, X Ma, H Zhao, S Yi, H Li
Advances in Neural Information Processing Systems 33, 2020
Particle Filter Recurrent Neural Networks
X Ma, P Karkus, D Hsu, WS Lee
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
Differentiable algorithm networks for composable robot learning
P Karkus, X Ma, D Hsu, LP Kaelbling, WS Lee, T Lozano-Pérez
Robotics: Science and Systems (RSS), 2019
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
X Ma, S Chen, D Hsu, WS Lee
4th Conference on Robot Learning (CoRL), 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
X Ma, P Karkus, D Hsu, WS Lee, N Ye
International Conference on Learning Representations (ICLR), 2020
Learning latent graph dynamics for deformable object manipulation
X Ma, D Hsu, WS Lee
International Conference on Robotics and Automation (ICRA), 2022
Beep: A bayesian perspective early stage event prediction model for online social networks
X Ma, X Gao, G Chen
2017 IEEE International Conference on Data Mining (ICDM), 973-978, 2017
Ab Initio Particle-based Object Manipulation
S Chen, X Ma, Y Lu, D Hsu
Robotics: Science and Systems (RSS), 2021
Trust-based time series data model for mobile crowdsensing
X Ma, Z Zheng, F Wu, G Chen
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
Towards Overcoming False Positives in Visual Relationship Detection
D Jin*, X Ma*, C Zhang, Y Zhou, J Tao, M Zhang, Zhoujun, X Li
British Machine Vision Conference (BMVC), 2021
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
S Chen, X Ma, D Hsu
In IL workshop, Robotics: Science and Systems (RSS), 2020
Imitation Learning via Differentiable Physics
S Chen, X Ma, Z Xu
arXiv preprint arXiv:2206.04873, 2022
Hierarchical Reinforcement Learning under Mixed Observability
H Nguyen, Z Yang, A Baisero, X Ma, R Platt, C Amato
arXiv preprint arXiv:2204.00898, 2022
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
J Ren*, X Ma*, C Xu*, H Zhao, S Yi
arXiv preprint arXiv:2101.02568, 2021
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