| Multi-view convolutional neural networks for 3d shape recognition H Su, S Maji, E Kalogerakis, E Learned-Miller Proceedings of the IEEE International Conference on Computer Vision, 945-953, 2015 | 4343 | 2015 |
| SPLATNet: Sparse Lattice Networks for Point Cloud Processing H Su, V Jampani, D Sun, S Maji, E Kalogerakis, MH Yang, J Kautz Conference on Computer Vision and Pattern Recognition, 2018 | 905 | 2018 |
| The sun attribute database: Beyond categories for deeper scene understanding G Patterson, C Xu, H Su, J Hays International Journal of Computer Vision 108, 59-81, 2014 | 481 | 2014 |
| Pixel-Adaptive Convolutional Neural Networks H Su, V Jampani, D Sun, O Gallo, E Learned-Miller, J Kautz Conference on Computer Vision and Pattern Recognition, 2019 | 369 | 2019 |
| Shrec16 track: largescale 3d shape retrieval from shapenet core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... Proceedings of the eurographics workshop on 3D object retrieval 10, 2016 | 170 | 2016 |
| End-to-end face detection and cast grouping in movies using Erdos-Renyi clustering SY Jin, H Su, C Stauffer, E Learned-Miller International Conference on Computer Vision, 2017 | 54 | 2017 |
| Bilateral convolution layer network for processing point clouds V Jampani, H Su, D Sun, MH Yang, J Kautz US Patent 11,636,668, 2023 | 11 | 2023 |
| Mobile AR Depth Estimation: Challenges & Prospects A Ganj, Y Zhao, H Su, T Guo International Workshop on Mobile Computing Systems and Applications (HotMobile), 2024 | 8 | 2024 |
| Image stitching with dynamic seam placement based on ego-vehicle state for surround view visualization Y Ren, NM Arar, O Gallo, J Kautz, N Avadhanam, H Su US Patent App. 18/173,603, 2023 | 2 | 2023 |
| Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense A Singh, H Su, SY Jin, H Jiang, C Manjesh, G Luo, Z He, L Hong, ... CVPR Workshop on Vision Meets Cognition, 2019 | 2 | 2019 |
| BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs C Liu, W Nie, S Liu, A Badki, H Su, M Mardani, B Eckart, A Vahdat SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 1 | 2024 |
| FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization D Lichy, H Su, A Badki, J Kautz, O Gallo 2024 International Conference on 3D Vision (3DV), 1-10, 2024 | 1 | 2024 |
| Image stitching with dynamic seam placement based on object saliency for surround view visualization Y Ren, K Turkowski, NM Arar, O Gallo, J Kautz, N Avadhanam, H Su US Patent App. 18/173,589, 2023 | 1 | 2023 |
| HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors A Ganj, H Su, T Guo Winter Conference on Applications of Computer Vision (WACV), 2025 | | 2025 |
| Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors A Ganj, H Su, T Guo 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2024 | | 2024 |
| nvTorchCam: An Open-source Library for Camera-Agnostic Differentiable Geometric Vision D Lichy, H Su, A Badki, J Kautz, O Gallo arXiv preprint arXiv:2410.12074, 2024 | | 2024 |
| View synthesis using attribute correspondences and geometric relationship constraints H Su, C Zitian, O Gallo US Patent 11,783,532, 2023 | | 2023 |
| 3DV 2024 D Lichy, H Su, A Badki, J Kautz, O Gallo, DA Kloepfer, JF Henriques, ... | | |
Erik Learned-MillerProfessor of Computer Science, University of Massachusetts AmherstBestätigte E-Mail-Adresse bei cs.umass.edu
