Kong, Tao
8 papers on CoChatORCID 0000-0002-9412-1457
Most cited papers
- Verified
A Survey on Deep Transfer Learning
Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., & Liu, C. (2018) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 3,165
- Verified
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 1,617
- Verified
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
Kong, T., Yao, A., Chen, Y., & Sun, F. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 934
- Verified
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Wang, X., Zhang, R., Shen, C., Kong, T., & Li, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 660
- Verified
SOLOv2: Dynamic and Fast Instance Segmentation
Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (2020) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 549
- Verified
Vision-Language Foundation Models as Effective Robot Imitators
Li, X., Liu, M., Zhang, H., Yu, C., Xu, J., Wu, H., Cheang, C., Jing, Y., Zhang, W., Liu, H., et al. (2023) · arXiv
Robot Manipulation and LearningMultimodal Machine Learning Applications
Cited by 28
- Verified
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Wu, H., Jing, Y., Cheang, C., Chen, G., Xu, J., Li, X., Liu, M., Li, H., & Kong, T. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 11
- Verified
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
Cheang, C.-L., Chen, G., Jing, Y., Kong, T., Li, H., Li, Y., Liu, Y., Wu, H., Xu, J., Yang, Y., et al. (2024) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 7
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