Caner Hazirbas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2015–2023
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. | Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim |
| 2023 | CVPR | The Casual Conversations v2 Dataset : A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models. | Bilal Porgali, Vtor Albiero, Jordan Ryda, Cristian Canton-Ferrer, Caner Hazirbas |
| 2023 | ICLR | ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. | Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim |
| 2022 | CVPR | Generating High Fidelity Data from Low-density Regions using Diffusion Models. | Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton-Ferrer |
| 2022 | ICASSP | Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions. | Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf |
| 2021 | CVPR | Casual Conversations: A Dataset for Measuring Fairness in AI. | Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer |
| 2018 | ACCV | Deep Depth from Focus. | Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taix, Daniel Cremers |
| 2017 | ICCV | Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. | Tim Meinhardt, Michael Mller, Caner Hazirbas, Daniel Cremers |
| 2017 | ICCV | Image-Based Localization Using LSTMs for Structured Feature Correlation. | Florian Walch, Caner Hazirbas, Laura Leal-Taix, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers |
| 2016 | ACCV | FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture. | Caner Hazirbas, Lingni Ma, Csaba Domokos, Daniel Cremers |
| 2015 | ICCV | FlowNet: Learning Optical Flow with Convolutional Networks. | Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Husser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox |