Maxim Berman

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 25

Top Topics

Image Segmentation

Top Venues

ECCV Workshops (3)

Publications

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)
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)
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 (2023)
Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. CoRR (2022)
Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. CVPR (2020)
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 (2020)
Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni
AOWS: Adaptive and optimal network width search with latency constraints. CoRR (2020)
Maxim Berman, Matthew B. Blaschko
Discriminative Training of Conditional Random Fields with Probably Submodular Constraints. Int. J. Comput. Vis. 128 (6) (2020)
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) (2020)
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia
Adaptive Compression-based Lifelong Learning. BMVC (2019)
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 (2019)
Thomas Verelst, Matthew B. Blaschko, Maxim Berman
Generating superpixels using deep image representations. CoRR (2019)
Amal Rannen Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko
Function Norms for Neural Networks. ICCV Workshops (2019)
Maxim Berman, Hervé Jégou, Andrea Vedaldi, Iasonas Kokkinos, Matthijs Douze
MultiGrain: a unified image embedding for classes and instances. CoRR (2019)
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)
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia
Adaptive Compression-based Lifelong Learning. CoRR (2019)
Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko
A Bayesian Optimization Framework for Neural Network Compression. ICCV (2019)
Maxim Berman, Matthew B. Blaschko
Discriminative training of conditional random fields with probably submodular constraints. CoRR (2019)
Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu
Yes, IoU loss is submodular - as a function of the mispredictions. CoRR (2018)
Maxim Berman, Matthew B. Blaschko
Supermodular Locality Sensitive Hashes. CoRR (2018)
Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko
Efficient semantic image segmentation with superpixel pooling. CoRR (2018)
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)
Maxim Berman, Matthew B. Blaschko
Optimization of the Jaccard index for image segmentation with the Lovász hinge. CoRR (2017)
Amal Rannen Triki, Maxim Berman, Matthew B. Blaschko
Stochastic Weighted Function Norm Regularization. CoRR (2017)
Stefan Kinauer, Maxim Berman, Iasonas Kokkinos
Monocular Surface Reconstruction Using 3D Deformable Part Models. ECCV Workshops (3) (2016)