Published in IEEE Transactions on Pattern Analysis and Machine Intelligence., 2023
Constructing a differentiable histogram loss function with application to image-to-image translation.
Recommended citation: Avi-Aharon, M., Arbelle, A. and Raviv, T.R., 2023. "Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation." IEEE Transactions on Pattern Analysis and Machine Intelligence. https://ieeexplore.ieee.org/iel7/34/4359286/10133915.pdf</p> </article> </div>Published in Nature Methods, 2023
The Cell Tracking Challenge is an ongoing benchmarking.
Recommended citation: Maška, M., Ulman, V., Delgado-Rodriguez, P., Gómez-de-Mariscal, E., Nečasová, T., Guerrero Peña, F.A., Ren, T.I., Meyerowitz, E.M., Scherr, T., Löffler, K. and Mikut, R., 2023. "The Cell Tracking Challenge: 10 years of objective benchmarking." Nature Methods, pp.1-11 https://www.nature.com/articles/s41592-023-01879-y</p> </article> </div>Published in ArXiv, 2023
Recommended citation: Herzig, R., Mendelson, A., Karlinsky, L., Arbelle, A., Feris, R., Darrell, T. and Globerson, A., 2023. "Incorporating structured representations into pretrained vision & language models using scene graphs." arXiv preprint arXiv:2305.06343. https://arxiv.org/pdf/2305.06343
Published in ArXiv, 2022
Recommended citation: Herzig, R., Abramovich, O., Ben-Avraham, E., Arbelle, A., Karlinsky, L., Shamir, A., Darrell, T. and Globerson, A., 2022. Promptonomyvit: Multi-task prompt learning improves video transformers using synthetic scene data. arXiv preprint arXiv:2212.04821. https://arxiv.org/pdf/2212.04821
Published in NuerIPS, 2022
Recommended citation: Alfassy, A., Arbelle, A., Halimi, O., Harary, S., Herzig, R., Schwartz, E., Panda, R., Dolfi, M., Auer, C., Staar, P. and Saenko, K., 2022. FETA: Towards Specializing Foundational Models for Expert Task Applications. Advances in Neural Information Processing Systems, 35, pp.29873-29888. https://proceedings.neurips.cc/paper_files/paper/2022/file/c12dd3034259fc000d80db823041c187-Paper-Datasets_and_Benchmarks.pdf
Published in ArXiv, 2022
Recommended citation: Schwartz, E., Arbelle, A., Karlinsky, L., Harary, S., Scheidegger, F., Doveh, S. and Giryes, R., 2022. MAEDAY: MAE for few and zero shot AnomalY-Detection. arXiv preprint arXiv:2211.14307. https://arxiv.org/pdf/2211.14307
