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Caner Hazirbas
Caner Hazirbas
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Flownet: Learning optical flow with convolutional networks
A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...
International Conference on Computer Vision (ICCV), 2758-2766, 2015
4991*2015
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture
C Hazirbas, L Ma, C Domokos, D Cremers
Asian Conference on Computer Vision (ACCV), 2016
8452016
Image-based localization using LSTMs for structured feature correlation
F Walch, C Hazirbas, L Leal-Taixé, T Sattler, S Hilsenbeck, D Cremers
International Conference on Computer Vision (ICCV), 2017
6252017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
T Meinhardt, M Möller, C Hazirbas, D Cremers
International Conference on Computer Vision (ICCV), 2017
3942017
What makes good synthetic training data for learning disparity and optical flow estimation?
N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy, T Brox
International Journal of Computer Vision (IJCV), 1-19, 2018
2392018
CAPTCHA Recognition with Active Deep Learning
F Stark, C Hazirbas, R Triebel, D Cremers
German Conference on Pattern Recognition Workshop (GCPRW), 94, 2015
1362015
Deep depth from focus
C Hazirbas, SG Soyer, MC Staab, L Leal-Taixé, D Cremers
Asian Conference on Computer Vision (ACCV), 2018
1012018
Towards measuring fairness in ai: the casual conversations dataset
C Hazirbas, J Bitton, B Dolhansky, J Pan, A Gordo, CC Ferrer
IEEE Transactions on Biometrics, Behavior, and Identity Science 4 (3), 324-332, 2021
852021
Generating high fidelity data from low-density regions using diffusion models
V Sehwag, C Hazirbas, A Gordo, F Ozgenel, C Canton
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
412022
A whac-a-mole dilemma: Shortcuts come in multiples where mitigating one amplifies others
Z Li, I Evtimov, A Gordo, C Hazirbas, T Hassner, CC Ferrer, C Xu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
342023
Imagenet-x: Understanding model mistakes with factor of variation annotations
BY Idrissi, D Bouchacourt, R Balestriero, I Evtimov, C Hazirbas, N Ballas, ...
arXiv preprint arXiv:2211.01866, 2022
332022
Towards measuring fairness in speech recognition: Casual conversations dataset transcriptions
C Liu, M Picheny, L Sarı, P Chitkara, A Xiao, X Zhang, M Chou, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
312022
Fairness indicators for systematic assessments of visual feature extractors
P Goyal, AR Soriano, C Hazirbas, L Sagun, N Usunier
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
252022
Interactive Multi-label Segmentation of RGB-D Images
J Diebold, N Demmel, C Hazirbas, M Möller, D Cremers
Scale Space and Variational Methods in Computer Vision (SSVM), 294-306, 2015
182015
Casual conversations: A dataset for measuring fairness in ai
C Hazirbas, J Bitton, B Dolhansky, J Pan, A Gordo, CC Ferrer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
The casual conversations v2 dataset
B Porgali, V Albiero, J Ryda, CC Ferrer, C Hazirbas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Deep Learning for Image-Based Localization
F Walch, D Cremers, S Hilsenbeck, C Hazirbas, L Leal-Taixé
Master’s thesis, 2016
92016
Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation
C Hazirbas, J Diebold, D Cremers
Scale Space and Variational Methods in Computer Vision (SSVM) 9087, 243-255, 2015
5*2015
Pinpointing why object recognition performance degrades across income levels and geographies
L Gustafson, M Richards, M Hall, C Hazirbas, D Bouchacourt, M Ibrahim
arXiv preprint arXiv:2304.05391, 2023
4*2023
Casual conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C Hazirbas, Y Bang, T Yu, P Assar, B Porgali, V Albiero, S Hermanek, ...
arXiv preprint arXiv:2211.05809, 2022
42022
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