Artikel dengan mandat akses publik - Fisher YuPelajari lebih lanjut
Tersedia di suatu tempat: 29
3d shapenets: A deep representation for volumetric shapes
Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Mandat: Research Grants Council, Hong Kong
Dilated Residual Networks
F Yu, V Koltun, T Funkhouser
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Mandat: US National Science Foundation
Semantic scene completion from a single depth image
S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandat: US National Science Foundation
End-to-end learning of driving models from large-scale video datasets
H Xu, Y Gao, F Yu, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandat: US National Science Foundation, US Department of Defense
Few-shot object detection via feature reweighting
B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandat: US Department of Defense
Skipnet: Learning dynamic routing in convolutional networks
X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez
Proceedings of the European conference on computer vision (ECCV), 409-424, 2018
Mandat: US National Science Foundation
Scribbler: Controlling deep image synthesis with sketch and color
P Sangkloy, J Lu, C Fang, F Yu, J Hays
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandat: US National Science Foundation
Texturegan: Controlling deep image synthesis with texture patches
W Xian, P Sangkloy, J Lu, C Fang, F Yu, J Hays
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Mandat: US National Science Foundation
Dual Aggregation Transformer for Image Super-Resolution
Z Chen, Y Zhang, J Gu, L Kong, X Yang, F Yu
International Conference on Computer Vision (ICCV), 2023
Mandat: National Natural Science Foundation of China
Unifying flow, stereo and depth estimation
H Xu, J Zhang, J Cai, H Rezatofighi, F Yu, D Tao, A Geiger
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Mandat: German Research Foundation
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
X Wang, F Yu, R Wang, T Darrell, JE Gonzalez
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Mandat: US National Science Foundation
LiDAR Snowfall Simulation for Robust 3D Object Detection
M Hahner, C Sakaridis, M Bijelic, F Heide, F Yu, D Dai, L Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Mandat: US National Science Foundation, Natural Sciences and Engineering Research …
Deep object-centric policies for autonomous driving
D Wang, C Devin, QZ Cai, F Yu, T Darrell
2019 International Conference on Robotics and Automation (ICRA), 8853-8859, 2019
Mandat: US National Science Foundation
Characterizing adversarial examples based on spatial consistency information for semantic segmentation
C Xiao, R Deng, B Li, F Yu, M Liu, D Song
Proceedings of the European Conference on Computer Vision (ECCV), 217-234, 2018
Mandat: US National Science Foundation, Natural Sciences and Engineering Research …
Prototypical cross-attention networks for multiple object tracking and segmentation
L Ke, X Li, M Danelljan, YW Tai, CK Tang, F Yu
Advances in neural information processing systems 34, 1192-1203, 2021
Mandat: Research Grants Council, Hong Kong
The tenth visual object tracking vot2022 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
European Conference on Computer Vision, 431-460, 2022
Mandat: Knut and Alice Wallenberg Foundation, Slovenian Research Agency, European …
SAGA: Stochastic Whole-Body Grasping with Contact
Y Wu, J Wang, Y Zhang, S Zhang, O Hilliges, F Yu, S Tang
European Conference on Computer Vision (ECCV), 2022
Mandat: Swiss National Science Foundation
Automatic Triage for a Photo Series
H Chang, F Yu, J Wang, D Ashley, A Finkelstein
Siggraph, 2016
Mandat: US National Science Foundation
Bibench: Benchmarking and analyzing network binarization
H Qin, M Zhang, Y Ding, A Li, Z Cai, Z Liu, F Yu, X Liu
International Conference on Machine Learning (ICML), 2023
Mandat: National Natural Science Foundation of China
QuantSR: accurate low-bit quantization for efficient image super-resolution
H Qin, Y Zhang, Y Ding, X Liu, M Danelljan, F Yu
Advances in Neural Information Processing Systems 36, 56838-56848, 2023
Mandat: National Natural Science Foundation of China
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