| Learning from Models and Data for Visual Grounding R He, P Cascante-Bonilla, Z Yang, AC Berg, V Ordonez arXiv preprint arXiv:2403.13804, 2024 | | 2024 |
| Improved Visual Grounding through Self-Consistent Explanations R He, P Cascante-Bonilla, Z Yang, AC Berg, V Ordonez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Joint depth prediction and semantic segmentation with multi-view sam M Shvets, D Zhao, M Niethammer, R Sengupta, AC Berg Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Segment anything A Kirillov, E Mintun, N Ravi, H Mao, C Rolland, L Gustafson, T Xiao, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4331 | 2023 |
| Similarity search for efficient active learning and search of rare concepts C Coleman, E Chou, J Katz-Samuels, S Culatana, P Bailis, AC Berg, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6402-6410, 2022 | 30 | 2022 |
| Point-level region contrast for object detection pre-training Y Bai, X Chen, A Kirillov, A Yuille, AC Berg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Neural pseudo-label optimism for the bank loan problem A Pacchiano, S Singh, E Chou, A Berg, J Foerster Advances in Neural Information Processing Systems 34, 6580-6593, 2021 | 7 | 2021 |
| Worldsheet: Wrapping the world in a 3d sheet for view synthesis from a single image R Hu, N Ravi, AC Berg, D Pathak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 71 | 2021 |
| Boundary IoU: Improving object-centric image segmentation evaluation B Cheng, R Girshick, P Dollár, AC Berg, A Kirillov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 280 | 2021 |
| SymGAN: Orientation estimation without annotation for symmetric objects P Ammirato, J Tremblay, MY Liu, A Berg, D Fox Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 7 | 2020 |
| A mask-rcnn baseline for probabilistic object detection P Ammirato, AC Berg arXiv preprint arXiv:1908.03621, 2019 | 28 | 2019 |
| Low-power computer vision: Status, challenges, and opportunities S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 89 | 2019 |
| Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution C Feng, T Sheng, Z Liang, S Zhuo, X Zhang, L Shen, M Ardi, AC Berg, ... arXiv preprint arXiv:1903.06791, 2019 | 1 | 2019 |
| Combining multiple cues for visual madlibs question answering T Tommasi, A Mallya, B Plummer, S Lazebnik, AC Berg, TL Berg International Journal of Computer Vision 127, 38-60, 2019 | 12 | 2019 |
| RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free CY Fu, M Shvets, AC Berg arXiv preprint arXiv:1901.03353, 2019 | 155 | 2019 |
| Leveraging long-range temporal relationships between proposals for video object detection M Shvets, W Liu, AC Berg Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 104 | 2019 |
| Imp: Instance mask projection for high accuracy semantic segmentation of things CY Fu, TL Berg, AC Berg Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 21 | 2019 |
| 2018 low-power image recognition challenge S Alyamkin, M Ardi, A Brighton, AC Berg, Y Chen, HP Cheng, B Chen, ... arXiv preprint arXiv:1810.01732, 2018 | 17 | 2018 |
| Low-power image recognition challenge YH Lu, AC Berg, Y Chen AI Magazine 39 (2), 87-88, 2018 | 11 | 2018 |
| Three years of low-power image recognition challenge: Introduction to special session K Gauen, R Dailey, YH Lu, E Park, W Liu, AC Berg, Y Chen 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 700-703, 2018 | 8 | 2018 |
