MB
Maxim Berman
cs.CVcs.LGstat.MLcs.AIcs.CLcs.DMcs.DScs.RODiagnostic Imagingeess.IV
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
16 papers in the corpus · 2017–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing2607.00124v1 · Luca Barsellotti, Martin Sundermeyer, Mattia Segu et al.2026 · 0 citationsarXiv
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union2310.19252v1 · Zifu Wang, Maxim Berman, Amal Rannen-Triki et al.2023 · 19 citationsarXiv
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations2203.06127v1 · Thomas Verelst, Paul K. Rubenstein, Marcin Eichner et al.2022 · 21 citationsarXiv
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index.32746113 · Eelbode, Tom, Bertels, Jeroen, Berman, Maxim et al.2021 · 422 citationsIEEE transactions on medical imaging. 2020;39(11):3679-3690
AOWS: Adaptive and optimal network width search with latency constraints2005.10481v1 · Maxim Berman, Leonid Pishchulin, Ning Xu et al.2020 · 27 citationsarXiv
Discriminative training of conditional random fields with probably submodular constraints1911.10819v1 · Maxim Berman, Matthew B. Blaschko2019 · 0 citationsarXiv
Adaptive Compression-based Lifelong Learning1907.09695v1 · Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko et al.2019 · 5 citationsarXiv
Generating superpixels using deep image representations1903.04586v1 · Thomas Verelst, Matthew Blaschko, Maxim Berman2019 · 2 citationsarXiv
MultiGrain: a unified image embedding for classes and instances1902.05509v2 · Maxim Berman, Herv'e J'egou, Andrea Vedaldi et al.2019 · 69 citationsarXiv
Yes, IoU loss is submodular - as a function of the mispredictions1809.01845v1 · Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki et al.2018 · 1 citationarXiv
Supermodular Locality Sensitive Hashes1807.06686v1 · Maxim Berman, Matthew B. Blaschko2018 · 1 citationarXiv
Efficient semantic image segmentation with superpixel pooling1806.02705v1 · Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko2018 · 17 citationsarXiv
Function Norms and Regularization in Deep Networks1710.06703v2 · Amal Rannen Triki, Maxim Berman, Matthew B. Blaschko2017 · 5 citationsarXiv
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks1705.08790v2 · Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko2017 · 39 citationsarXiv
Career total: 26 works. 16 are in this corpus.
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