Monocular Surface Reconstruction Using 3D Deformable Part Models. - Stefan Kinauer; Maxim Berman; Iasonas Kokkinos (ECCV Workshops (3), 2016)

Optimization of the Jaccard index for image segmentation with the Lovász hinge. - Maxim Berman; Matthew B. Blaschko (CoRR, 2017)

Stochastic Weighted Function Norm Regularization. - Amal Rannen Triki; Maxim Berman; Matthew B. Blaschko (CoRR, 2017)

The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks. - Maxim Berman; Amal Rannen Triki; Matthew B. Blaschko (CVPR, 2018)

Efficient semantic image segmentation with superpixel pooling. - Mathijs Schuurmans; Maxim Berman; Matthew B. Blaschko (CoRR, 2018)

Supermodular Locality Sensitive Hashes. - Maxim Berman; Matthew B. Blaschko (CoRR, 2018)

Yes, IoU loss is submodular - as a function of the mispredictions. - Maxim Berman; Matthew B. Blaschko; Amal Rannen Triki; Jiaqian Yu (CoRR, 2018)

Adaptive Compression-based Lifelong Learning. - Shivangi Srivastava; Maxim Berman; Matthew B. Blaschko; Devis Tuia (BMVC, 2019)

A Bayesian Optimization Framework for Neural Network Compression. - Xingchen Ma; Amal Rannen Triki; Maxim Berman; Christos Sagonas; Jacques Calì; Matthew B. Blaschko (ICCV, 2019)

Function Norms for Neural Networks. - Amal Rannen-Triki; Maxim Berman; Vladimir Kolmogorov; Matthew B. Blaschko (ICCV Workshops, 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (MICCAI (2), 2019)

MultiGrain: a unified image embedding for classes and instances. - Maxim Berman; Hervé Jégou; Andrea Vedaldi; Iasonas Kokkinos; Matthijs Douze (CoRR, 2019)

Generating superpixels using deep image representations. - Thomas Verelst; Matthew B. Blaschko; Maxim Berman (CoRR, 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (CoRR, 2019)

AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. - Maxim Berman; Leonid Pishchulin; Ning Xu; Matthew B. Blaschko; Gérard G. Medioni (CVPR, 2020)

Discriminative Training of Conditional Random Fields with Probably Submodular Constraints. - Maxim Berman; Matthew B. Blaschko (Int. J. Comput. Vis., 2020)

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. - Tom Eelbode; Jeroen Bertels; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (IEEE Trans. Medical Imaging, 2020)

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. - Zifu Wang; Maxim Berman; Amal Rannen-Triki; Philip H. S. Torr; Devis Tuia; Tinne Tuytelaars; Luc Van Gool; Jiaqian Yu; Matthew B. Blaschko (NeurIPS, 2023)

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. - Thomas Verelst; Paul K. Rubenstein; Marcin Eichner; Tinne Tuytelaars; Maxim Berman (WACV, 2023)