Fu-Jen Chu
Fu-Jen Chu
Research Scientist @ Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
Real-world multiobject, multigrasp detection
FJ Chu, R Xu, PA Vela
IEEE Robotics and Automation Letters 3 (4), 3355-3362, 2018
When crowdsourcing meets mobile sensing: A social network perspective
PY Chen, SM Cheng, PS Ting, CW Lien, FJ Chu
IEEE Communications Magazine 53 (10), 157-163, 2015
Learning affordance segmentation for real-world robotic manipulation via synthetic images
FJ Chu, R Xu, PA Vela
IEEE Robotics and Automation Letters 4 (2), 1140-1147, 2019
Using synthetic data and deep networks to recognize primitive shapes for object grasping
Y Lin, C Tang, FJ Chu, PA Vela
2020 IEEE International Conference on Robotics and Automation (ICRA), 10494 …, 2020
An affordance keypoint detection network for robot manipulation
R Xu, FJ Chu, C Tang, W Liu, PA Vela
IEEE Robotics and Automation Letters 6 (2), 2870-2877, 2021
Toward affordance detection and ranking on novel objects for real-world robotic manipulation
FJ Chu, R Xu, L Seguin, PA Vela
IEEE Robotics and Automation Letters 4 (4), 4070-4077, 2019
Deep grasp: Detection and localization of grasps with deep neural networks
FJ Chu, PA Vela
arXiv preprint arXiv:1802.00520 1, 2018
GKNet: Grasp keypoint network for grasp candidates detection
R Xu, FJ Chu, PA Vela
The International Journal of Robotics Research 41 (4), 361-389, 2022
The helping hand: An assistive manipulation framework using augmented reality and tongue-drive interfaces
FJ Chu, R Xu, Z Zhang, PA Vela, M Ghovanloo
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ...
arXiv preprint arXiv:2311.18259, 2023
Recognizing object affordances to support scene reasoning for manipulation tasks
FJ Chu, R Xu, C Tang, PA Vela
arXiv preprint arXiv:1909.05770, 2019
Hands-free assistive manipulator using augmented reality and tongue drive system
FJ Chu, R Xu, Z Zhang, PA Vela, M Ghovanloo
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Learning to navigate: Exploiting deep networks to inform sample-based planning during vision-based navigation
JS Smith, JH Hwang, FJ Chu, PA Vela
arXiv preprint arXiv:1801.05132, 2018
Supervised collective classification for crowdsourcing
PY Chen, CW Lien, FJ Chu, PS Ting, SM Cheng
2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015
Relational space-time query in long-form videos
X Yang, FJ Chu, M Feiszli, R Goyal, L Torresani, D Tran
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Primitive shape recognition for object grasping
Y Lin, C Tang, FJ Chu, R Xu, PA Vela
arXiv preprint arXiv:2201.00956, 2022
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
N Mehta, KJ Liang, J Huang, FJ Chu, L Yin, T Hassner
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
Abridged Jacquard Dataset for GKNet: Grasp Keypoint Network for Grasp Candidates Detection
R Xu, FJ Chu, PA Vela
Georgia Institute of Technology, 2021
Improving vision-based robotic manipulation with affordance understanding.
FJ Chu
Georgia Institute of Technology, Atlanta, GA, USA, 2020
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