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Yizhou Yu
Yizhou Yu
The University of Hong Kong, ACM Fellow & IEEE Fellow
Email confirmado em acm.org - Página inicial
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Citado por
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Ano
Visual Saliency Based on Multiscale Deep Features
G Li, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5455-5463, 2015
13872015
Deep Contrast Learning for Salient Object Detection
G Li, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 478-487, 2016
8852016
Efficient view-dependent image-based rendering with projective texture-mapping
PE Debevec, Y Yu, G Borshukov
Eurographics Workshop on Rendering 98, 105-116, 1998
8441998
Mesh editing with poisson-based gradient field manipulation
Y Yu, K Zhou, D Xu, X Shi, H Bao, B Guo, HY Shum
SIGGRAPH 2004, TOG 23 (3), 644-651, 2004
8222004
Neural Style Transfer: A Review
Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song
IEEE Transactions on Visualization and Computer Graphics 26 (11), 3365-3385, 2020
7292020
Inverse global illumination: Recovering reflectance models of real scenes from photographs
Y Yu, P Debevec, J Malik, T Hawkins
SIGGRAPH 1999, 215-224, 1999
6621999
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu
IEEE International Conference on Computer Vision (ICCV), 2015, 2015
536*2015
Visual Saliency Detection Based on Multiscale Deep CNN Features
G Li, Y Yu
IEEE Transactions on Image Processing 25 (11), 5012-5024, 2016
3942016
Particle-based simulation of granular materials
N Bell, Y Yu, PJ Mucha
ACM SIGGRAPH/EG Symposium on Computer Animation, 77-86, 2005
3272005
Feature matching and deformation for texture synthesis
Q Wu, Y Yu
SIGGRAPH 2004, TOG 23 (3), 364-367, 2004
314*2004
Instance-Level Salient Object Segmentation
G Li, Y Xie, L Lin, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
3062017
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
H Wu, J Zhang, K Huang, K Liang, Y Yu
arXiv preprint arXiv:1903.11816, 2019
3022019
Automatic Photo Adjustment Using Deep Neural Networks
Z Yan, H Zhang, B Wang, S Paris, Y Yu
ACM Transactions on Graphics (TOG) 35 (2), 11, 2016
3022016
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
X Han, Z Li, H Huang, E Kalogerakis, Y Yu
IEEE International Conference on Computer Vision (ICCV), 2017
2972017
Recovering photometric properties of architectural scenes from photographs
Y Yu, J Malik
SIGGRAPH 1998, 207-217, 1998
2821998
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
W Ge, X Lin, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
2692019
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
W Ge, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2552017
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer
HY Zhou, J Guo, Y Zhang, X Han, L Yu, L Wang
IEEE Transactions on Image Processing 32, 4036-4045, 2023
237*2023
Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning
W Ge, S Yang, Y Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1277-1286, 2018
2252018
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Z Li, Y Gan, X Liang, Y Yu, H Cheng, L Lin
European Conference on Computer Vision (ECCV), 541-557, 2016
2172016
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