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 | 78 | 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 | 56 | 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 | 53 | 2018 |
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 | 33 | 2018 |
Channel selection using Gumbel Softmax C Herrmann, RS Bowen, R Zabih Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 31* | 2020 |
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 |
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 | 26 | 2022 |
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 | 26 | 2020 |
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 | 8 | 2022 |
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 | 8 | 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 | 6 | 2020 |
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 | 5 | 2023 |
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 | 4 | 2022 |
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 | 3 | 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 |
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 | 1 | 2023 |
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 |
Substance or Style: What Does Your Image Embedding Know? C Rashtchian, C Herrmann, CS Ferng, A Chakrabarti, D Krishnan, D Sun, ... arXiv preprint arXiv:2307.05610, 2023 | | 2023 |
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 | | 2023 |