| Autoflow: Learning a better training set for optical flow D Sun, D Vlasic, C Herrmann, V Jampani, M Krainin, H Chang, R Zabih, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Robust image stitching with multiple registrations C Herrmann, C Wang, RS Bowen, E Keyder, M Krainin, C Liu, R Zabih Proceedings of the European Conference on Computer Vision (ECCV), 53-67, 2018 | 56 | 2018 |
| Channel selection using Gumbel Softmax C Herrmann, RS Bowen, R Zabih Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 34* | 2020 |
| Object-centered image stitching C Herrmann, C Wang, RS Bowen, E Keyder, R Zabih Proceedings of the European Conference on Computer Vision (ECCV), 821-835, 2018 | 34 | 2018 |
| Pyramid adversarial training improves vit performance C Herrmann, K Sargent, L Jiang, R Zabih, H Chang, C Liu, D Krishnan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Accurate measurements of pointing performance from in situ observations K Gajos, K Reinecke, C Herrmann Proceedings of the SIGCHI conference on human factors in computing systems …, 2012 | 31 | 2012 |
| Learning to autofocus C Herrmann, RS Bowen, N Wadhwa, R Garg, Q He, JT Barron, R Zabih Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence J Zhang, C Herrmann, J Hur, LP Cabrera, V Jampani, D Sun, MH Yang arXiv preprint arXiv:2305.15347, 2023 | 15 | 2023 |
| Oconet: Image extrapolation by object completion RS Bowen, H Chang, C Herrmann, P Teterwak, C Liu, R Zabih Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| Disentangling architecture and training for optical flow D Sun, C Herrmann, F Reda, M Rubinstein, DJ Fleet, WT Freeman European Conference on Computer Vision, 165-182, 2022 | 13 | 2022 |
| Vq3d: Learning a 3d-aware generative model on imagenet K Sargent, JY Koh, H Zhang, H Chang, C Herrmann, P Srinivasan, J Wu, ... arXiv preprint arXiv:2302.06833, 2023 | 9 | 2023 |
| Deep survival analysis with longitudinal X-rays for COVID-19 M Shu, RS Bowen, C Herrmann, G Qi, M Santacatterina, R Zabih Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 9 | 2021 |
| TF-RAFT: A tensorflow implementation of raft D Sun, C Herrmann, V Jampani, M Krainin, F Cole, A Stone, ... ECCV Robust Vision Challenge Workshop 8, 2020 | 7 | 2020 |
| What makes raft better than pwc-net? D Sun, C Herrmann, F Reda, M Rubinstein, D Fleet, WT Freeman arXiv e-prints, arXiv: 2203.10712, 2022 | 5 | 2022 |
| The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation S Saxena, C Herrmann, J Hur, A Kar, M Norouzi, D Sun, DJ Fleet arXiv preprint arXiv:2306.01923, 2023 | 3 | 2023 |
| Self-supervised AutoFlow HP Huang, C Herrmann, J Hur, E Lu, K Sargent, A Stone, MH Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Accidental Light Probes HX Yu, S Agarwala, C Herrmann, R Szeliski, N Snavely, J Wu, D Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| PETALS: Improving Learning of Expert Skill in Humanitarian Demining L Jayatilaka, DM Sengeh, C Herrmann, L Bertuccelli, D Antos, BJ Grosz, ... Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 2 | 2018 |
| A discriminative view of MRF pre-processing algorithms C Wang, C Herrmann, R Zabih Proceedings of the IEEE International Conference on Computer Vision, 5504-5513, 2017 | 1 | 2017 |
Ramin ZabihProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
