| Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 113* | 2023 |
| Microscopy cell segmentation via convolutional LSTM networks A Arbelle, TR Raviv 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 99 | 2019 |
| Microscopy cell segmentation via adversarial neural networks A Arbelle, TR Raviv 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 64 | 2018 |
| The Cell Tracking Challenge: 10 years of objective benchmarking M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ... Nature Methods 20 (7), 1010-1020, 2023 | 54 | 2023 |
| Teaching structured vision & language concepts to vision & language models S Doveh, A Arbelle, S Harary, E Schwartz, R Herzig, R Giryes, R Feris, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45* | 2023 |
| Unsupervised domain generalization by learning a bridge across domains S Harary, E Schwartz, A Arbelle, P Staar, S Abu-Hussein, E Amrani, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos A Arbelle, J Reyes, JY Chen, G Lahav, TR Raviv Medical image analysis 47, 140-152, 2018 | 30 | 2018 |
| Deephist: Differentiable joint and color histogram layers for image-to-image translation M Avi-Aharon, A Arbelle, TR Raviv arXiv preprint arXiv:2005.03995, 2020 | 24 | 2020 |
| Dual-task ConvLSTM-UNet for instance segmentation of weakly annotated microscopy videos A Arbelle, S Cohen, TR Raviv IEEE Transactions on Medical Imaging 41 (8), 1948-1960, 2022 | 23 | 2022 |
| Detector-free weakly supervised grounding by separation A Arbelle, S Doveh, A Alfassy, J Shtok, G Lev, E Schwartz, H Kuehne, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
| Dense and aligned captions (dac) promote compositional reasoning in vl models S Doveh, A Arbelle, S Harary, R Herzig, D Kim, P Cascante-Bonilla, ... Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Incorporating structured representations into pretrained vision & language models using scene graphs R Herzig, A Mendelson, L Karlinsky, A Arbelle, R Feris, T Darrell, ... arXiv preprint arXiv:2305.06343, 2023 | 15 | 2023 |
| Analysis of high-throughput microscopy videos: Catching up with cell dynamics A Arbelle, N Drayman, M Bray, U Alon, A Carpenter, TR Raviv Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 15 | 2015 |
| MAEDAY: MAE for few-and zero-shot AnomalY-Detection E Schwartz, A Arbelle, L Karlinsky, S Harary, F Scheidegger, S Doveh, ... Computer Vision and Image Understanding, 103958, 2024 | 14 | 2024 |
| Construct-vl: Data-free continual structured vl concepts learning JS Smith, P Cascante-Bonilla, A Arbelle, D Kim, R Panda, D Cox, D Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Feta: Towards specializing foundational models for expert task applications A Alfassy, A Arbelle, O Halimi, S Harary, R Herzig, E Schwartz, R Panda, ... Advances in Neural Information Processing Systems 35, 29873-29888, 2022 | 13 | 2022 |
| Promptonomyvit: Multi-task prompt learning improves video transformers using synthetic scene data R Herzig, O Abramovich, E Ben Avraham, A Arbelle, L Karlinsky, A Shamir, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 11 | 2024 |
| Differentiable histogram loss functions for intensity-based image-to-image translation M Avi-Aharon, A Arbelle, TR Raviv IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
| QANet--Quality Assurance Network for Image Segmentation A Arbelle, E Elul, TR Raviv arXiv preprint arXiv:1904.08503, 2019 | 4 | 2019 |
| FlowchartQA: the first large-scale benchmark for reasoning over flowcharts S Tannert, MG Feighelstein, J Bogojeska, J Shtok, A Arbelle, PWJ Staar, ... Proceedings of the 1st Workshop on Linguistic Insights from and for …, 2023 | 3 | 2023 |
Leonid KarlinskyPrincipal Research Scientist, MIT-IBM Watson AI Lab, IBM Research在 ibm.com 的电子邮件经过验证
