| Dynamic Neural Relational Inference C Graber, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 54 | 2020 |
| Dynamic Neural Relational Inference for Forecasting Trajectories C Graber, A Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 32 | 2020 |
| Deep structured prediction with nonlinear output transformations C Graber, O Meshi, A Schwing Advances in Neural Information Processing Systems, 6320-6331, 2018 | 24 | 2018 |
| Panoptic Segmentation Forecasting C Graber, G Tsai, M Firman, G Brostow, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |
| Graph structured prediction energy networks C Graber, A Schwing Advances in Neural Information Processing Systems, 8690-8701, 2019 | 15 | 2019 |
| Towards problem solving agents that communicate and learn A Narayan-Chen, C Graber, M Das, MR Islam, S Dan, S Natarajan, ... Proceedings of the First Workshop on Language Grounding for Robotics, 95-103, 2017 | 12 | 2017 |
| Joint Forecasting of Panoptic Segmentations with Difference Attention C Graber, C Jazra, W Luo, L Gui, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| Unsupervised Discovery of Dynamic Neural Circuits C Graber, R Loh, Y Vlasov, A Schwing | 2 | 2019 |
| Image processing method and apparatus A Schwing, C Graber, R Yeh, J Kim, HAN JaeJoon US Patent App. 17/228,760, 2021 | 1 | 2021 |
| Graph Structured Prediction Energy Net Algorithms C Graber, A Schwing | | |
