| Unsupervised semantic correspondence using stable diffusion E Hedlin, G Sharma, S Mahajan, H Isack, A Kar, A Tagliasacchi, KM Yi Advances in Neural Information Processing Systems 36, 8266-8279, 2023 | 71 | 2023 |
| Unsupervised keypoints from pretrained diffusion models E Hedlin, G Sharma, S Mahajan, X He, H Isack, A Kar, H Rhodin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| NESI: Shape Representation via Neural Explicit Surface Intersection C Zhang, J Yang, E Hedlin, S Takikawa, N Vining, KM Yi, W Wang, ... arXiv preprint arXiv:2409.06030, 2024 | 4 | 2024 |
| A simple method to boost human pose estimation accuracy by correcting the joint regressor for the human3. 6m Dataset E Hedlin, H Rhodin, KM Yi 2022 19th Conference on Robots and Vision (CRV), 1-7, 2022 | 4 | 2022 |
| HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories E Hedlin, M Hayat, F Porikli, KM Yi, S Mahajan arXiv preprint arXiv:2412.17040, 2024 | | 2024 |
| CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes E Hedlin, J Yang, N Vining, KM Yi, A Sheffer arXiv preprint arXiv:2304.13141, 2023 | | 2023 |
| Human pose and stride length estimation E Hedlin University of British Columbia, 2021 | | 2021 |
| CRV 2022 E Hedlin, H Rhodin | | |
