Search Results for author: Abdullah Hamdi

Found 9 papers, 5 papers with code

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

no code implementations30 Nov 2021 Abdullah Hamdi, Silvio Giancola, Bernard Ghanem

This novel 3D Voint cloud representation combines the compactness of 3D point cloud representation with the natural view-awareness of multi-view representation.

3D Classification 3D Semantic Segmentation

MVTN: Multi-View Transformation Network for 3D Shape Recognition

1 code implementation ICCV 2021 Abdullah Hamdi, Silvio Giancola, Bernard Ghanem

MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.

3D Classification 3D Object Retrieval +5

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

1 code implementation ECCV 2020 Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem

Our proposed attack increases the attack success rate by up to 40% for those transferred to unseen networks (transferability), while maintaining a high success rate on the attacked network.

Adversarial Attack Classify 3D Point Clouds

Expected Tight Bounds for Robust Deep Neural Network Training

no code implementations25 Sep 2019 Salman AlSubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem

al. that bounded input intervals can be inexpensively propagated from layer to layer through deep networks.

Expected Tight Bounds for Robust Training

2 code implementations28 May 2019 Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem

In this paper, we closely examine the bounds of a block of layers composed in the form of Affine-ReLU-Affine.

IAN: Combining Generative Adversarial Networks for Imaginative Face Generation

no code implementations16 Apr 2019 Abdullah Hamdi, Bernard Ghanem

Generative Adversarial Networks (GANs) have gained momentum for their ability to model image distributions.

Face Generation

Towards Analyzing Semantic Robustness of Deep Neural Networks

1 code implementation9 Apr 2019 Abdullah Hamdi, Bernard Ghanem

Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high sensitivity toward semantic primitives (e. g. object pose).

Adversarial Attack Autonomous Driving +1

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

1 code implementation5 Dec 2018 Abdullah Hamdi, Matthias Müller, Bernard Ghanem

In contrast, we present a general framework for adversarial attacks on trained agents, which covers semantic perturbations to the environment of the agent performing the task as well as pixel-level attacks.

Adversarial Attack Autonomous Driving +3

Learning Rotation for Kernel Correlation Filter

no code implementations11 Aug 2017 Abdullah Hamdi, Bernard Ghanem

Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks.

Frame Visual Tracking

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