Tao Kong
Tao Kong
Research Scientist, Bytedance AI Lab
Verified email at bytedance.com - Homepage
TitleCited byYear
Hypernet: Towards accurate region proposal generation and joint object detection
T Kong, A Yao, Y Chen, F Sun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4332016
Ron: Reverse connection with objectness prior networks for object detection
T Kong, F Sun, A Yao, H Liu, M Lu, Y Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1822017
A survey on deep transfer learning
C Tan, F Sun, T Kong, W Zhang, C Yang, C Liu
International conference on artificial neural networks, 270-279, 2018
1452018
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
452018
A hybrid deep architecture for robotic grasp detection
D Guo, F Sun, H Liu, T Kong, B Fang, N Xi
2017 IEEE International Conference on Robotics and Automation (ICRA), 1609-1614, 2017
402017
Object discovery and grasp detection with a shared convolutional neural network
D Guo, T Kong, F Sun, H Liu
2016 IEEE International Conference on Robotics and Automation (ICRA), 2038-2043, 2016
392016
Foveabox: Beyond anchor-based object detector
T Kong, F Sun, H Liu, Y Jiang, J Shi
arXiv preprint arXiv:1904.03797, 2019
262019
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
232016
A hierarchical classification method for finger knuckle print recognition
T Kong, G Yang, L Yang
EURASIP Journal on Advances in Signal Processing 2014 (1), 44, 2014
142014
Consistent optimization for single-shot object detection
T Kong, F Sun, H Liu, Y Jiang, J Shi
arXiv preprint arXiv:1901.06563, 2019
122019
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 App. 16/070,483, 2019
102019
A new finger-knuckle-print ROI extraction method based on probabilistic region growing algorithm
T Kong, G Yang, L Yang
International Journal of Machine Learning and Cybernetics 5 (4), 569-578, 2014
72014
Adaptive adversarial transfer learning for electroencephalography classification
C Tan, F Sun, W Zhang, T Kong, C Yang, X Zhang
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
32018
Deep Point-Wise Prediction for Action Temporal Proposal
T Kong, L Li, F Sun, H Liu
International Conference on Neural Information Processing, 475-487, 2019
12019
SOLO: Segmenting Objects by Locations
X Wang, T Kong, C Shen, Y Jiang, L Li
arXiv preprint arXiv:1912.04488, 2019
12019
Feature Pyramid Reconfiguration with Consistent Loss for Object Detection
T Kong, F Sun, W Huang, C Tan, B Fang, H Liu
IEEE Transactions on Image Processing, 2019
12019
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
L Yuan, Y Chen, H Liu, T Kong, J Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
12019
Electroencephalography classification in brain-computer interface with manifold constraints transfer
C Tan, F Sun, W Zhang, T Kong
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
12018
Task-Aware Monocular Depth Estimation for 3D Object Detection
X Wang, W Yin, T Kong, Y Jiang, L Li, C Shen
arXiv preprint arXiv:1909.07701, 2019
2019
Robotic Grasping and Manipulation Competition@ IROS2016: Team Tsinghua
F Sun, H Liu, B Fang, D Guo, T Kong, C Yang, Y Huang, M Jing, J Che
Robotic Grasping and Manipulation Challenge, 161-171, 2016
2016
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