Articles with public access mandates - Yinlin HuLearn more
Not available anywhere: 3
A Stepwise Domain Adaptive Segmentation Network with Covariate Shift Alleviation for Remote Sensing Imagery
J Li, S Zi, R Song, Y Li, Y Hu, Q Du
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Mandates: National Natural Science Foundation of China
Highly Accurate Optical Flow Estimation on Superpixel Tree
Y Hu, R Song, Y Li, P Rao, Y Wang
Image and Vision Computing (IVC), 2016
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Minimum Barrier Superpixel Segmentation
Y Hu, Y Li, R Song, P Rao, Y Wang
Image and Vision Computing (IVC), 2018
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Available somewhere: 13
Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow
Y Hu, R Song, Y Li
Computer Vision and Pattern Recognition (CVPR), 2016
Mandates: Chinese Academy of Sciences
Robust Interpolation of Correspondences for Large Displacement Optical Flow
Y Hu, Y Li, R Song
Computer Vision and Pattern Recognition (CVPR), 2017
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
VN Nguyen, Y Hu, Y Xiao, M Salzmann, V Lepetit
Computer Vision and Pattern Recognition (CVPR), 2022
Mandates: Agence Nationale de la Recherche
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses
Z Dang, K Moo Yi, Y Hu, F Wang, P Fua, M Salzmann
European Conference on Computer Vision (ECCV), 2018
Mandates: National Natural Science Foundation of China
Coarse-to-Fine PatchMatch for Dense Correspondence
Y Li, Y Hu, R Song, P Rao, Y Wang
Circuits and Systems for Video Technology (CSVT), 2017
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Z Dang, KM Yi, Y Hu, F Wang, P Fua, M Salzmann
Pattern Analysis and Machine Intelligence (PAMI), 2020
Mandates: National Natural Science Foundation of China
NOPE: Novel Object Pose Estimation from a Single Image
VN Nguyen, T Groueix, G Ponimatkin, Y Hu, R Marlet, M Salzmann, ...
Computer Vision and Pattern Recognition (CVPR), 2024
Mandates: European Commission
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects
C Zhao, Y Hu, M Salzmann
European Conference on Computer Vision (ECCV), 2022
Mandates: Swiss National Science Foundation
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
Z Li, Y Hu, M Salzmann, X Ji
AAAI Conference On Artificial Intelligence (AAAI), 2021
Mandates: National Natural Science Foundation of China
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
S Guo, Y Hu, JM Alvarez, M Salzmann
Computer Vision and Pattern Recognition (CVPR), 2023
Mandates: Swiss National Science Foundation
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation
C Zhao, Y Hu, M Salzmann
International Conference on 3D Vision (3DV), 2024
Mandates: Swiss National Science Foundation
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
F Liu, Y Hu, M Salzmann
International Conference on Computer Vision (ICCV), 2023
Mandates: National Natural Science Foundation of China
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Y Hai, R Song, J Li, D Ferstl, Y Hu
International Conference on Computer Vision (ICCV), 2023
Mandates: National Natural Science Foundation of China
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