| Augmentation strategies for learning with noisy labels K Nishi, Y Ding, A Rich, T Hollerer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 111 | 2021 |
| Vortx: Volumetric 3d reconstruction with transformers for voxelwise view selection and fusion N Stier, A Rich, P Sen, T Höllerer 2021 International Conference on 3D Vision (3DV), 320-330, 2021 | 38 | 2021 |
| 3dvnet: Multi-view depth prediction and volumetric refinement A Rich, N Stier, P Sen, T Höllerer 2021 International Conference on 3D Vision (3DV), 700-709, 2021 | 20 | 2021 |
| Sparse fusion for multimodal transformers Y Ding, A Rich, M Wang, N Stier, M Turk, P Sen, T Höllerer arXiv preprint arXiv:2111.11992, 2021 | 8 | 2021 |
| More knots in knots: A study of classical knot diagrams KC Millett, A Rich Journal of Knot Theory and Its Ramifications 26 (08), 1750046, 2017 | 6 | 2017 |
| Improving label noise robustness with data augmentation and semi-supervised learning (student abstract) K Nishi, Y Ding, A Rich, T Höllerer Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15855 …, 2021 | 4 | 2021 |
| Using synthetic data generation to probe multi-view stereo networks P Acharya, D Lohn, V Ross, M Ha, A Rich, E Sayyad, T Höllerer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Benefits of Synthetically Pre-trained Depth-Prediction Networks for Indoor/Outdoor Image Classification KX Lin, I Cho, A Walimbe, BA Zamora, A Rich, SZ Zhang, T Höllerer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | | 2023 |
