| A Survey on Deep Transfer Learning C Tan, F Sun, T Kong, W Zhang, C Yang, C Liu ICANN2018, 270-279, 2018 | 3926 | 2018 |
| Sparse r-cnn: End-to-end object detection with learnable proposals P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1283 | 2021 |
| HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection T Kong, A Yao, Y Chen, F Sun CVPR 2016, 845-853, 2016 | 1112 | 2016 |
| FoveaBox: Beyond Anchor-based Object Detector T Kong, F Sun, H Liu, Y Jiang, L Li, J Shi IEEE Transactions on Image Processing (TIP), 2020, 2020 | 1072 | 2020 |
| Solov2: Dynamic and fast instance segmentation X Wang, R Zhang, T Kong#, L Li, C Shen Advances in Neural information processing systems 33, 17721-17732, 2020 | 1004* | 2020 |
| iBOT: Image Bert Pre-training with Online Tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong# ICLR 2022, 2021 | 857 | 2021 |
| Solo: Segmenting objects by locations X Wang, T Kong#, C Shen, Y Jiang, L Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 842 | 2020 |
| Dense Contrastive Learning for Self-Supervised Visual Pre-Training X Wang, R Zhang, C Shen, T Kong, L Li CVPR 2021, 2020 | 772 | 2020 |
| RON: Reverse Connection with Objectness Prior Networks for Object Detection T Kong, F Sun, A Yao, H Liu, M Lu, Y Chen CVPR 2017, 5936-5944, 2017 | 520 | 2017 |
| Deep feature pyramid reconfiguration for object detection T Kong, F Sun, C Tan, H Liu, W Huang Proceedings of the European conference on computer vision (ECCV), 169-185, 2018 | 269 | 2018 |
| A Hybrid Deep Architecture for Robotic Grasp Detection D Guo, F Sun, H Liu, T Kong, B Fang, N Xi ICRA 2017, 1609-1614, 2017 | 228 | 2017 |
| Locate then Segment: A Strong Pipeline for Referring Image Segmentation Y Jing, T Kong#, W Wang, L Wang, L Li, T Tan CVPR 2021, 2021 | 147 | 2021 |
| Solo: A simple framework for instance segmentation X Wang, R Zhang, C Shen, T Kong#, L Li IEEE transactions on pattern analysis and machine intelligence 44 (11), 8587 …, 2021 | 100 | 2021 |
| Object discovery and grasp detection with a shared convolutional neural network D Guo, T Kong, F Sun, H Liu ICRA 2016, 2038-2043, 2016 | 95 | 2016 |
| 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, 2024 | 71 | 2024 |
| Task-Aware Monocular Depth Estimation for 3D Object Detection X Wang, W Yin, T Kong, Y Jiang, L Li, C Shen AAAI 2020, 2020 | 69 | 2020 |
| 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 | 68 | 2023 |
| Region proposal for image regions that include objects of interest using feature maps from multiple layers of a convolutional neural network model A Yao, T Kong, Y Chen US Patent 11,244,191, 2022 | 59 | 2022 |
| Convolutional neural network framework using reverse connections and objectness priors for object detection A Yao, T Kong, M Lu, Y Guo, Y Chen US Patent 11,188,794, 2021 | 57 | 2021 |
| Deep vision networks for real-time robotic grasp detection D Guo, F Sun, T Kong, H Liu International Journal of Advanced Robotic Systems 14 (1), 1729881416682706, 2016 | 56 | 2016 |
Xinlong WangBeijing Academy of Artificial Intelligence在 adelaide.edu.au 的电子邮件经过验证