| YOLACT: Real-time Instance Segmentation D Bolya, C Zhou, F Xiao, YJ Lee International Conference of Computer Vision, 2019 | 2475 | 2019 |
| Token Merging: Your ViT But Faster D Bolya, CY Fu, X Dai, P Zhang, C Feichtenhofer, J Hoffman International Conference on Learning Representations, 2022 | 274 | 2022 |
| Tide: A general toolbox for identifying object detection errors D Bolya, S Foley, J Hays, J Hoffman European Conference on Computer Vision, 2020 | 195 | 2020 |
| Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles C Ryali, YT Hu, D Bolya, C Wei, H Fan, PY Huang, V Aggarwal, ... International Conference on Machine Learning, 2023 | 73 | 2023 |
| Hydra attention: Efficient attention with many heads D Bolya, CY Fu, X Dai, P Zhang, J Hoffman ECCV 2022 Workshops: Computational Aspects of Deep Learning, 2022 | 71 | 2022 |
| Zipit! merging models from different tasks without training G Stoica, D Bolya, J Bjorner, P Ramesh, T Hearn, J Hoffman International Conference on Learning Representations, 2024 | 50 | 2024 |
| Token merging for fast stable diffusion D Bolya, J Hoffman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 48 | 2023 |
| Scalable diverse model selection for accessible transfer learning D Bolya, R Mittapalli, J Hoffman Advances in Neural Information Processing Systems 34, 19301-19312, 2021 | 40 | 2021 |
| YOLACT++: Better real-time instance segmentation D Bolya, C Zhou, F Xiao, YJ Lee Transactions on Pattern Analysis and Machine Intelligence, 2019 | 11* | 2019 |
| Window Attention is Bugged: How not to Interpolate Position Embeddings D Bolya, C Ryali, J Hoffman, C Feichtenhofer International Conference on Learning Representations, 2024 | 4 | 2024 |
| Likelihood landscapes: A unifying principle behind many adversarial defenses F Lin, R Mittapalli, P Chattopadhyay, D Bolya, J Hoffman Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 2 | 2020 |
