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Hongsheng Li (李鸿升)
Hongsheng Li (李鸿升)
The Chinese University of Hong Kong
Dirección de correo verificada de ee.cuhk.edu.hk - Página principal
Título
Citado por
Citado por
Año
StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks
H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang, D Metaxas
IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017
36892017
PointRCNN: 3D object proposal generation and detection from point cloud
S Shi, X Wang, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
26672019
PV-RCNN: Point-voxel feature set abstraction for 3D object detection
S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
19952020
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 41 (8), 1947-1962, 2019
15902019
Cross-scene crowd counting via deep convolutional neural networks
C Zhang, H Li, X Wang, X Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
14422015
Saliency detection by multi-context deep learning
R Zhao, W Ouyang, H Li, X Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
12072015
Learning deep feature representations with domain guided dropout for person re-identification
T Xiao, H Li, W Ouyang, X Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
11752016
From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network
S Shi, Z Wang, J Shi, X Wang, H Li
IEEE transactions on pattern analysis and machine intelligence 43 (8), 2647-2664, 2020
1031*2020
From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network
S Shi, Z Wang, J Shi, X Wang, H Li
IEEE transactions on pattern analysis and machine intelligence 43 (8), 2647-2664, 2020
9002020
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, 2017
751*2017
Clip-adapter: Better vision-language models with feature adapters
P Gao, S Geng, R Zhang, T Ma, R Fang, Y Zhang, H Li, Y Qiao
International Journal of Computer Vision 132 (2), 581-595, 2024
7422024
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Y Ge, D Chen, H Li
International Conference on Learning Representations (ICLR) 2020, 2020
7162020
Group-wise correlation stereo network
X Guo, K Yang, W Yang, X Wang, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
6502019
T-CNN: Tubelets with convolutional neural networks for object detection from videos
K Kang, H Li, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ...
IEEE Transactions on Circuits and Systems for Video Technology, 2017
6362017
Self-paced contrastive learning with hybrid memory for domain adaptive object re-ID
Y Ge, F Zhu, D Chen, R Zhao, H Li
Advances in Neural Information Processing Systems 33, 11309-11321, 2020
6032020
Learning feature pyramids for human pose estimation
W Yang, S Li, W Ouyang, H Li, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 1281-1290, 2017
6022017
DeepID-net: Deformable deep convolutional neural networks for object detection
W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
5932015
Internimage: Exploring large-scale vision foundation models with deformable convolutions
W Wang, J Dai, Z Chen, Z Huang, Z Li, X Zhu, X Hu, T Lu, L Lu, H Li, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
5872023
Cylindrical and asymmetrical 3d convolution networks for LiDAR segmentation
X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
5622021
Llama-adapter: Efficient fine-tuning of language models with zero-init attention
R Zhang, J Han, C Liu, P Gao, A Zhou, X Hu, S Yan, P Lu, H Li, Y Qiao
arXiv preprint arXiv:2303.16199, 2023
5502023
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Artículos 1–20