HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation.
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CoRR, February, 2025
GRAPE: Generalizing Robot Policy via Preference Alignment.
CoRR, 2024
OptiGrasp: Optimized Grasp Pose Detection Using RGB Images for Warehouse Picking Robots.
CoRR, 2024
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots.
Proceedings of the Conference on Robot Learning, 2023
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement.
Proceedings of the Computer Vision - ECCV 2022, 2022
DeepIM: Deep Iterative Matching for 6D Pose Estimation.
Int. J. Comput. Vis., 2020
Action Recognition and Localization with Instance FCNN.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018
Deformable Convolutional Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Fully Convolutional Instance-Aware Semantic Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Instance-Sensitive Fully Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016