E-LIB Suche - Ergebnisse für: Berman, Maxim

1

Spatial Consistency Loss for Training Multi-Label Classifie..:

, In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Verelst, Thomas ; Rubenstein, Paul K. ; Eichner, Marcin.. - p. 3868-3878 , 2023

Link: https://doi.org/10.1109/..

2

Discriminative Training of Conditional Random Fields with P..:

Berman, Maxim ; Blaschko, Matthew B.
International Journal of Computer Vision. 128 (2020) 6 - p. 1722-1735 , 2020

Link: https://doi.org/10.1007/..

3

AOWS: Adaptive and Optimal Network Width Search With Latenc..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Berman, Maxim ; Pishchulin, Leonid ; Xu, Ning.. - p. 11214-11223 , 2020

Link: https://doi.org/10.1109/..

4

A Bayesian Optimization Framework for Neural Network Compre..:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),

Ma, Xingchen ; Triki, Amal Rannen ; Berman, Maxim... - p. 10273-10282 , 2019

Link: https://doi.org/10.1109/..

5

Optimizing the Dice Score and Jaccard Index for Medical Ima..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2019,

Bertels, Jeroen ; Eelbode, Tom ; Berman, Maxim... - p. 92-100 , 2019

Link: https://doi.org/10.1007/..

6

Function Norms for Neural Networks:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),

Rannen-Triki, Amal ; Berman, Maxim ; Kolmogorov, Vladimir. - p. 748-752 , 2019

Link: https://doi.org/10.1109/..

7

Revisiting Evaluation Metrics for Semantic Segmentation: Op..:

Wang, Zifu ; Berman, Maxim ; Rannen-Triki, Amal...
http://arxiv.org/abs/2310.19252. , 2023

Link: http://arxiv.org/abs/231..

8

Spatial Consistency Loss for Training Multi-Label Classifie..:

Verelst, Thomas ; Rubenstein, Paul K ; Eichner, Marcin..
http://arxiv.org/abs/2203.06127. , 2022

Link: http://arxiv.org/abs/220..

9

AOWS: Adaptive and optimal network width search with latenc..:

Berman, Maxim ; Pishchulin, Leonid ; Xu, Ning..
http://arxiv.org/abs/2005.10481. , 2020

Link: http://arxiv.org/abs/200..

10

Optimization for Medical Image Segmentation: Theory and Pra..:

Eelbode, Tom ; Bertels, Jeroen ; Berman, Maxim...
http://arxiv.org/abs/2010.13499. , 2020

Link: http://arxiv.org/abs/201..

11

Generating superpixels using deep image representations:

Verelst, Thomas ; Blaschko, Matthew ; Berman, Maxim
http://arxiv.org/abs/1903.04586. , 2019

Link: http://arxiv.org/abs/190..

12

Optimizing the Dice Score and Jaccard Index for Medical Ima..:

Bertels, Jeroen ; Eelbode, Tom ; Berman, Maxim...
http://arxiv.org/abs/1911.01685. , 2019

Link: http://arxiv.org/abs/191..

13

MultiGrain: a unified image embedding for classes and insta..:

Berman, Maxim ; Jégou, Hervé ; Vedaldi, Andrea..
http://arxiv.org/abs/1902.05509. , 2019

Link: http://arxiv.org/abs/190..

14

Adaptive Compression-based Lifelong Learning:

Srivastava, Shivangi ; Berman, Maxim ; Blaschko, Matthew B.
http://arxiv.org/abs/1907.09695. , 2019

Link: http://arxiv.org/abs/190..

15

Discriminative training of conditional random fields with p..:

Berman, Maxim ; Blaschko, Matthew B
http://arxiv.org/abs/1911.10819. , 2019

Link: http://arxiv.org/abs/191..