| Real-world multiobject, multigrasp detection FJ Chu, R Xu, PA Vela IEEE Robotics and Automation Letters 3 (4), 3355-3362, 2018 | 395 | 2018 |
| 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 | 54 | 2019 |
| 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 | 50 | 2015 |
| 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 | 43 | 2021 |
| 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 | 43 | 2020 |
| Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 40 | 2024 |
| 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 | 40 | 2019 |
| Deep grasp: Detection and localization of grasps with deep neural networks FJ Chu, PA Vela arXiv preprint arXiv:1802.00520 1, 2018 | 40 | 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 | 33 | 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 | 21 | 2018 |
| Recognizing object affordances to support scene reasoning for manipulation tasks FJ Chu, R Xu, C Tang, PA Vela arXiv preprint arXiv:1909.05770, 2019 | 14* | 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 | 7 | 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 | 7 | 2018 |
| 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 | 6 | 2023 |
| Supervised collective classification for crowdsourcing PY Chen, CW Lien, FJ Chu, PS Ting, SM Cheng 2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015 | 6 | 2015 |
| Primitive shape recognition for object grasping Y Lin, C Tang, FJ Chu, R Xu, PA Vela arXiv preprint arXiv:2201.00956, 2022 | 5 | 2022 |
| EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences C Zhang, X Yang, J Hou, K Kitani, W Cai, FJ Chu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| 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 | | 2024 |
| Abridged Jacquard Dataset for GKNet: Grasp Keypoint Network for Grasp Candidates Detection R Xu, FJ Chu, PA Vela Georgia Institute of Technology, 2021 | | 2021 |
| Improving vision-based robotic manipulation with affordance understanding. FJ Chu Georgia Institute of Technology, Atlanta, GA, USA, 2020 | | 2020 |
Patricio A. VelaAssociate Professor of Electrical and Computer Engineering在 gatech.edu 的电子邮件经过验证
