Hongyang Li
Hongyang Li
Research Scientist, SenseTime
Verified email at sensetime.com - Homepage
Cited by
Cited by
Inner and Inter Label Propagation: Salient Object Detection in the Wild
H Li, H Lu, Z Lin, X Shen, B Price
IEEE Transactions on Image Processing 24 (10), 3176-3186, 2015
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Y Liu*, H Li*, X Wang (*equal contribution)
Advances in Neural Information Processing Systems (NIPS) Deep Learning Workshop, 2017
Dual Deep Network for Visual Tracking
Z Chi, H Li, H Lu, MH Yang
IEEE Transactions on Image Processing 26 (4), 2005-2015, 2017
CNN for Saliency Detection with Low-level Feature Integration
H Li, J Chen, H Lu, Z Chi
Neurocomputing 226, 212-220, 2017
Finding Task-relevant Features for Few-shot Learning by Category Traversal
H Li, D Eigen, S Dodge, M Zeiler, X Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection
H Li, Y Liu, W Ouyang, X Wang
International Journal of Computer Vision (IJCV), 2018
Recurrent Scale Approximation for Object Detection in CNN
Y Liu, H Li, J Yan, F Wei, X Wang, X Tang
IEEE International Conference on Computer Vision (ICCV), 2017
DeepID-Net: Object detection with deformable part based convolutional neural networks
W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1320-1334, 2016
Multi-bias Non-linear Activation in Deep Neural Networks
H Li, W Ouyang, X Wang
International Conference on Machine Learning (ICML), 2016
Neural Network Encapsulation
H Li, X Guo, B Dai, W Ouyang, X Wang
European Conference on Computer Vision (ECCV), 2018
Learning Deep Representation With Large-Scale Attributes
W Ouyang, H Li, X Zeng, X Wang
IEEE International Conference on Computer Vision (ICCV), 2015
Feature Intertwiner for Object Detection
H Li, B Dai, S Shi, W Ouyang, X Wang
International Conference on Learning Representation (ICLR), 2019
Do We Really Need More Training Data for Object Localization
H Li, Y Liu, X Zhang, Z An, J Wang, Y Chen, J Tong
IEEE International Conference on Image Processing (ICIP), 2017
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