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Maxim Berman
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2020 – today
- 2023
- [c9]Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. NeurIPS 2023 - [c8]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars
, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. WACV 2023: 3868-3878 - [i14]Zifu Wang, Maxim Berman, Amal Rannen Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. CoRR abs/2310.19252 (2023) - 2022
- [i13]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. CoRR abs/2203.06127 (2022) - 2020
- [j2]Maxim Berman
, Matthew B. Blaschko
:
Discriminative Training of Conditional Random Fields with Probably Submodular Constraints. Int. J. Comput. Vis. 128(6): 1722-1735 (2020) - [j1]Tom Eelbode
, Jeroen Bertels
, Maxim Berman, Dirk Vandermeulen, Frederik Maes
, Raf Bisschops
, Matthew B. Blaschko
:
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. IEEE Trans. Medical Imaging 39(11): 3679-3690 (2020) - [c7]Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko
, Gérard G. Medioni:
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. CVPR 2020: 11214-11223 - [i12]Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni:
AOWS: Adaptive and optimal network width search with latency constraints. CoRR abs/2005.10481 (2020) - [i11]Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index. CoRR abs/2010.13499 (2020)
2010 – 2019
- 2019
- [c6]Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. BMVC 2019: 153 - [c5]Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko
:
A Bayesian Optimization Framework for Neural Network Compression. ICCV 2019: 10273-10282 - [c4]Amal Rannen-Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko
:
Function Norms for Neural Networks. ICCV Workshops 2019: 748-752 - [c3]Jeroen Bertels
, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes
, Raf Bisschops
, Matthew B. Blaschko
:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. MICCAI (2) 2019: 92-100 - [i10]Maxim Berman, Hervé Jégou, Andrea Vedaldi, Iasonas Kokkinos, Matthijs Douze:
MultiGrain: a unified image embedding for classes and instances. CoRR abs/1902.05509 (2019) - [i9]Thomas Verelst, Matthew B. Blaschko, Maxim Berman:
Generating superpixels using deep image representations. CoRR abs/1903.04586 (2019) - [i8]Shivangi Srivastava
, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. CoRR abs/1907.09695 (2019) - [i7]Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. CoRR abs/1911.01685 (2019) - [i6]Maxim Berman, Matthew B. Blaschko:
Discriminative training of conditional random fields with probably submodular constraints. CoRR abs/1911.10819 (2019) - 2018
- [c2]Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko
:
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks. CVPR 2018: 4413-4421 - [i5]Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko:
Efficient semantic image segmentation with superpixel pooling. CoRR abs/1806.02705 (2018) - [i4]Maxim Berman, Matthew B. Blaschko:
Supermodular Locality Sensitive Hashes. CoRR abs/1807.06686 (2018) - [i3]Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu:
Yes, IoU loss is submodular - as a function of the mispredictions. CoRR abs/1809.01845 (2018) - 2017
- [i2]Maxim Berman, Matthew B. Blaschko:
Optimization of the Jaccard index for image segmentation with the Lovász hinge. CoRR abs/1705.08790 (2017) - [i1]Amal Rannen Triki, Maxim Berman, Matthew B. Blaschko:
Stochastic Weighted Function Norm Regularization. CoRR abs/1710.06703 (2017) - 2016
- [c1]Stefan Kinauer, Maxim Berman, Iasonas Kokkinos:
Monocular Surface Reconstruction Using 3D Deformable Part Models. ECCV Workshops (3) 2016: 296-308
Coauthor Index
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