Članki z zahtevami za javni dostop - Alexander SchwingVeč o tem
Ni na voljo nikjer: 2
Enhancing the motion estimate in bundle adjustment using projective Newton-type optimization on the manifold
M Sarkis, K Diepold, A Schwing
Image Processing: Machine Vision Applications II 7251, 125-136, 2009
Zahteve: German Research Foundation
Semantic Autoencoder for Modeling BEOL and MOL Dielectric Lifetime Distributions
W Yan, E Wu, AG Schwing, E Rosenbaum
2023 IEEE International Reliability Physics Symposium (IRPS), 1-9, 2023
Zahteve: US National Science Foundation
Na voljo nekje: 99
Masked-attention mask transformer for universal image segmentation
B Cheng, I Misra, AG Schwing, A Kirillov, R Girdhar
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Zahteve: US National Science Foundation
Per-pixel classification is not all you need for semantic segmentation
B Cheng, A Schwing, A Kirillov
Advances in neural information processing systems 34, 17864-17875, 2021
Zahteve: US National Science Foundation
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Zahteve: Natural Sciences and Engineering Research Council of Canada
Convolutional image captioning
J Aneja, A Deshpande, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Zahteve: US National Science Foundation, US Department of Defense
Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
HK Cheng, AG Schwing
European Conference on Computer Vision, 640-658, 2022
Zahteve: US National Science Foundation
Videomatch: Matching based video object segmentation
YT Hu, JB Huang, AG Schwing
Proceedings of the European conference on computer vision (ECCV), 54-70, 2018
Zahteve: US National Science Foundation
Out of the box: Reasoning with graph convolution nets for factual visual question answering
M Narasimhan, S Lazebnik, A Schwing
Advances in neural information processing systems 31, 2018
Zahteve: US National Science Foundation
Generative modeling using the sliced wasserstein distance
I Deshpande, Z Zhang, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Zahteve: US National Science Foundation
Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Z Ren, Z Yu, X Yang, MY Liu, YJ Lee, AG Schwing, J Kautz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Zahteve: US National Science Foundation
Sdfusion: Multimodal 3d shape completion, reconstruction, and generation
YC Cheng, HY Lee, S Tulyakov, AG Schwing, LY Gui
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
Zahteve: US National Science Foundation
Maskrnn: Instance level video object segmentation
YT Hu, JB Huang, A Schwing
Advances in neural information processing systems 30, 2017
Zahteve: US National Science Foundation
Max-sliced wasserstein distance and its use for gans
I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Zahteve: US National Science Foundation
Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space
L Wang, A Schwing, S Lazebnik
Advances in Neural Information Processing Systems 30, 2017
Zahteve: US National Science Foundation
No-frills human-object interaction detection: Factorization, layout encodings, and training techniques
T Gupta, A Schwing, D Hoiem
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Zahteve: US National Science Foundation, US Department of Defense
Fast, diverse and accurate image captioning guided by part-of-speech
A Deshpande, J Aneja, L Wang, AG Schwing, D Forsyth
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Zahteve: US National Science Foundation, US Department of Defense
Tracking anything with decoupled video segmentation
HK Cheng, SW Oh, B Price, A Schwing, JY Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Zahteve: US National Science Foundation
Calorimetry with deep learning: particle simulation and reconstruction for collider physics
D Belayneh, F Carminati, A Farbin, B Hooberman, G Khattak, M Liu, J Liu, ...
The European Physical Journal C 80 (7), 1-31, 2020
Zahteve: US National Science Foundation, US Department of Energy, European Commission
Factor graph attention
I Schwartz, S Yu, T Hazan, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Zahteve: US National Science Foundation
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