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Charles Herrmann
Charles Herrmann
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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
782021
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
562022
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
532018
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
332018
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
312012
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
262022
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
262020
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
142021
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
82022
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
82021
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
62020
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
52023
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
42022
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
32023
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
22018
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
12023
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
12017
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
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