| 2023 | WACV | Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. | Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman |
| 2020 | CVPR | AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. | Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Grard G. Medioni |
| 2019 | BMVC | Adaptive Compression-based Lifelong Learning. | Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia |
| 2019 | ICCV | A Bayesian Optimization Framework for Neural Network Compression. | Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Cal, Matthew B. Blaschko |
| 2019 | MICCAI | 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 |
| 2018 | CVPR | The Lovsz-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 |
| 2016 | ECCV | Monocular Surface Reconstruction Using 3D Deformable Part Models. | Stefan Kinauer, Maxim Berman, Iasonas Kokkinos |