Caner Hazirbas
Caner Hazirbas
Facebook AI
Verified email at hazirbas.com - Homepage
Title
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Year
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
2852*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
3792016
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
3392017
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
2182017
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
1342018
CAPTCHA Recognition with Active Deep Learning
F Stark, C Hazirbas, R Triebel, D Cremers
German Conference on Pattern Recognition Workshop (GCPRW), 94, 2015
992015
Deep depth from focus
C Hazirbas, SG Soyer, MC Staab, L Leal-Taixé, D Cremers
Asian Conference on Computer Vision (ACCV), 2018
492018
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
142015
Deep Learning for Image-Based Localization
F Walch, D Cremers, S Hilsenbeck, C Hazirbas, L Leal-Taix
Master’s thesis, 2016
72016
Towards measuring fairness in AI: the Casual Conversations dataset
C Hazirbas, J Bitton, B Dolhansky, J Pan, A Gordo, CC Ferrer
arXiv preprint arXiv:2104.02821, 2021
62021
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
Localized Uncertainty Attacks
OA Dia, T Karaletsos, C Hazirbas, CC Ferrer, IK Kabul, E Meijer
CVPRW on Adversarial Machine Learning in Real-World Computer Vision Systems …, 2021
2021
Image processing using a convolutional neural network
C Schroers, F Perazzi, C Hazirbas
US Patent 10,706,503, 2020
2020
Learning Geometry and Semantics for Deep Image Restoration
C Hazırbaş
Technische Universität München, 2019
2019
TUM RGB-D Scribble-based Segmentation Benchmark
C Hazirbas, A Wiedemann, R Maier, L Leal-Taixe, D Cremers
https://github.com/tum-vision/rgbd_scribble_benchmark, 2018
2018
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