Publications

Alexander Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi (2023). Language Model Tokenizers Introduce Unfairness Between Languages. in NeurIPS23.

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Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Gregory Rogéz, Philip H.S. Torr (2023). Catastrophic Overfitting is a Bug but also a Feature. In TMLPR23.

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Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem (2023). Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?. in ICCV23.

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Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H.S. Torr, Adel Bibi (2023). Certifying Ensembles: A General Certification Theory with S-Lipschitzness. In ICML23.

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Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H.S. Torr, Bernard Ghanem (2023). Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. In CVPRW23.

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Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem (2023). Real-Time Evaluation in Online Continual Learning: A New Hope. Highlight in CVPR23.

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Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi (2023). Computationally Budgeted Continual Learning: What Does Matter?. In CVPR23.

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Taras Rumezhak, Francisco Eiras, Philip H. S. Torr, Adel Bibi (2022). RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing. In WACV23.

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Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Gregory Rogéz, Puneet K. Dokania (2022). Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. In NeurIPS22.

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Francisco Eiras, Motasem Alfarra, Philip H.S. Torr, Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi (2022). ANCER: Anisotropic Certification via Sample-wise Volume Maximization. In TMLPR22.

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Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem (2022). On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. In PAMI22.

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Motasem Alfarra, Adel Bibi, Philip H.S. Torr, Bernard Ghanem (2022). Data Dependent Randomized Smoothing. In UAI22.

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Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H.S. Torr, Bernard Ghanem (2022). DeformRS: Certifying Input Deformations with Randomized Smoothing. Oral in AAAI22.

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Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H.S. Torr, Bernard Ghanem (2022). Combating Adversaries with Anti-Adversaries. In AAAI22.

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Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem (2021). ClusTR: Clustering Training for Robustness. In BMVC21.

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Salman Alsubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem (2021). Expected Tight Bounds for Robust Deep Neural Network Training. In RobustML @ICLR21.

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Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez (2020). Gabor Layers Enhance Network Robustness. In ECCV20.

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Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtarik (2020). A Stochastic Derivative Free Optimization Method with Momentum. In ICLR20.

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Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtarik (2020). A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. Oral in AAAI20.

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Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl (2019). Deep Layers as Stochastic Solvers. In ICLR19.

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Rafał Protasiuk, Adel Bibi, Bernard Ghanem (2019). Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. In WACV19.

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Matthias Mueller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, Bernard Ghanem (2018). TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. In ECCV18.

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Adel Bibi, Modar Alfadly, Bernard Ghanem (2018). Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input. Oral in CVPR18.

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Adel Bibi, Bernard Ghanem (2017). High Order Tensor Formulation for Convolutional Sparse Coding. In ICCV17.

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Adel Bibi, Hani Itani, Bernard Ghanem (2017). FFTLasso: Large-Scale Lasso in the Fourier Domain. Oral in CVPR17.

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Adel Bibi, Matthias Mueller, Bernard Ghanem (2016). Target Response Adaptation for Correlation Filter Tracking. Spotlight in ECCV16.

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Tianzhu Zhang, Adel Bibi, Bernard Ghanem (2016). In Defense of Sparse Tracking: Circulant Sparse Tracker. Spotlight in CVPR16.

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Adel Bibi, Tianzhu Zhang, Bernard Ghanem (2016). 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. In CVPR16.

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Adel Bibi, Bernard Ghanem (2016). Multi-Template Scale-Adaptive Kernelized Correlation Filters. In ICCVW15 (VOT15).

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