| Fully convolutional grasp detection network with oriented anchor box X Zhou, X Lan, H Zhang, Z Tian, Y Zhang, N Zheng IROS 2018, 7223-7230, 2018 | 241 | 2018 |
| ROI-based Robotic Grasp Detection in Object Overlapping Scenes H Zhang, X Lan, S Bai, X Zhou, Z Tian, N Zheng IROS 2019, 2019 | 203 | 2019 |
| Vision-language foundation models as effective robot imitators X Li, M Liu, H Zhang, C Yu, J Xu, H Wu, C Cheang, Y Jing, W Zhang, ... ICLR 2024, 2023 | 106 | 2023 |
| Regnet: region-based grasp network for single-shot grasp detection in point clouds B Zhao, H Zhang, X Lan, H Wang, Z Tian, N Zheng ICRA 2021, 2021 | 96* | 2021 |
| A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes H Zhang, X Lan, S Bai, L Wan, C Yang, N Zheng IROS 2019, 2019 | 89* | 2019 |
| Visual manipulation relationship network for autonomous robotics H Zhang, X Lan, X Zhou, Z Tian, Y Zhang, N Zheng HUMANOIDS 2018, 118-125, 2018 | 80 | 2018 |
| INVIGORATE: Interactive Visual Grounding and Grasping in Clutter H Zhang, Y Lu, C Yu, D Hsu, X Lan, N Zheng RSS 2021, 2021 | 70 | 2021 |
| A real-time robotic grasping approach with oriented anchor box H Zhang, X Zhou, X Lan, J Li, Z Tian, N Zheng IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (5), 3014-3025, 2019 | 69 | 2019 |
| What matters in training a gpt4-style language model with multimodal inputs? Y Zeng, H Zhang, J Zheng, J Xia, G Wei, Y Wei, Y Zhang, T Kong NAACL 2024, 2023 | 66 | 2023 |
| Robotic grasping from classical to modern: A survey H Zhang, J Tang, S Sun, X Lan arXiv preprint arXiv:2202.03631, 2022 | 44 | 2022 |
| Regrad: A large-scale relational grasp dataset for safe and object-specific robotic grasping in clutter H Zhang, D Yang, H Wang, B Zhao, X Lan, J Ding, N Zheng ICRA 2022 & RA-L, 2022 | 39 | 2022 |
| Gr-2: A generative video-language-action model with web-scale knowledge for robot manipulation CL Cheang, G Chen, Y Jing, T Kong, H Li, Y Li, Y Liu, H Wu, J Xu, Y Yang, ... Technical Report, 2024 | 27 | 2024 |
| Task-oriented grasping in object stacking scenes with crf-based semantic model C Yang, X Lan, H Zhang, N Zheng IROS 2019, 6427-6434, 2019 | 24 | 2019 |
| Visual manipulation relationship recognition in object-stacking scenes H Zhang, X Lan, X Zhou, Z Tian, Y Zhang, N Zheng Pattern Recognition Letters 140, 34-42, 2020 | 22 | 2020 |
| Towards Open-World Interactive Disambiguation for Robotic Grasping Y Mo, H Zhang, T Kong ICRA 2023, CoRL 2022 Workshop on Learning, Perception, and Abstraction for …, 2023 | 21 | 2023 |
| Hindsight Trust Region Policy Optimization H Zhang, S Bai, X Lan, D Hsu, N Zheng IJCAI 2021, 2021 | 11 | 2021 |
| Autonomous tool construction with gated graph neural network C Yang, X Lan, H Zhang, N Zheng ICRA 2020, 9708-9714, 2020 | 9 | 2020 |
| Visual manipulation relationship detection with fully connected CRFs for autonomous robotic grasp C Yang, X Lan, H Zhang, X Zhou, N Zheng ROBIO 2018, 393-400, 2018 | 7 | 2018 |
| Invig: Benchmarking interactive visual grounding with 500k human-robot interactions H Zhang, J Xu, Y Mo, T Kong CVPR 2024 Workshop on JRDB, 2023 | 4 | 2023 |
| Vision-based robotic grasp success determination with convolutional neural network H Zhang, X Lan, X Zhou, J Wang, N Zheng 2017 IEEE 7th Annual International Conference on CYBER Technology in …, 2017 | 4 | 2017 |
Tao KongResearch Scientist, ByteDance Researchכתובת אימייל מאומתת בדומיין bytedance.com