| How to backdoor federated learning E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov International conference on artificial intelligence and statistics, 2938-2948, 2020 | 2258 | 2020 |
| Residual networks behave like ensembles of relatively shallow networks A Veit, MJ Wilber, S Belongie Advances in neural information processing systems 29, 2016 | 1350 | 2016 |
| OpenImages: A public dataset for large-scale multi-label and multi-class image classification. I Krasin, T Duerig, N Alldrin, A Veit, S Abu-El-Haija, S Belongie, D Cai, ... Dataset available from https://github.com/openimages, 2016 | 873 | 2016 |
| Long-tail learning via logit adjustment AK Menon, S Jayasumana, AS Rawat, H Jain, A Veit, S Kumar arXiv preprint arXiv:2007.07314, 2020 | 770 | 2020 |
| Deep learning is robust to massive label noise D Rolnick arXiv preprint arXiv:1705.10694, 2017 | 671 | 2017 |
| Coco-text: Dataset and benchmark for text detection and recognition in natural images A Veit, T Matera, L Neumann, J Matas, S Belongie arXiv preprint arXiv:1601.07140, 2016 | 620 | 2016 |
| Learning from noisy large-scale datasets with minimal supervision A Veit, N Alldrin, G Chechik, I Krasin, A Gupta, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 573 | 2017 |
| Convolutional Networks with Adaptive Inference Graphs A Veit, S Belongie European Conference on Computer Vision (ECCV '18), 2017 | 483 | 2017 |
| Understanding robustness of transformers for image classification S Bhojanapalli, A Chakrabarti, D Glasner, D Li, T Unterthiner, A Veit Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 449 | 2021 |
| Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences A Veit*, B Kovacs*, S Bell, J McAuley, K Bala, S Belongie IEEE International Conference on Computer Vision, ICCV '15, 2015 | 376 | 2015 |
| Why are adaptive methods good for attention models? J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra Advances in Neural Information Processing Systems 33, 15383-15393, 2020 | 332* | 2020 |
| Conditional Similarity Networks A Veit, S Belongie, T Karaletsos Computer Vision and Pattern Recognition, (CVPR '17), 2017 | 190 | 2017 |
| Learning to evaluate image captioning Y Cui, G Yang, A Veit, X Huang, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 181 | 2018 |
| Residual networks are exponential ensembles of relatively shallow networks A Veit, M Wilber, S Belongie arXiv preprint arXiv:1605.06431 1 (2), 3, 2016 | 124 | 2016 |
| Household Electricity Demand Forecasting: Benchmarking State-of-the-Art Methods A Veit, C Goebel, R Tidke, C Doblander, HA Jacobsen e-Energy '14 5th International Conference on Future Energy System, 233-234, 2014 | 117 | 2014 |
| Large language models with controllable working memory D Li, AS Rawat, M Zaheer, X Wang, M Lukasik, A Veit, F Yu, S Kumar arXiv preprint arXiv:2211.05110, 2022 | 102 | 2022 |
| Learning to Detect and Match Keypoints with Deep Architectures H Altwaijry, A Veit, S Belongie British Machine Vision Conference (BMVC), 2016 | 91 | 2016 |
| Icdar2017 robust reading challenge on coco-text R Gomez, B Shi, L Gomez, L Numann, A Veit, J Matas, S Belongie, ... 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 79 | 2017 |
| Coping with label shift via distributionally robust optimisation J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra arXiv preprint arXiv:2010.12230, 2020 | 76 | 2020 |
| Rethinking fid: Towards a better evaluation metric for image generation S Jayasumana, S Ramalingam, A Veit, D Glasner, A Chakrabarti, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 50 | 2024 |
Serge BelongieUniversity of CopenhagenEmail verificata su di.ku.dk