activity
20202026
most citedCertified Defenses for Adversarial Patches

78 citations · 112 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models

Yu Jiang, Hanwen Jiang, Ahmed Abdelkader +4

With the emergence of 3D foundation models, there is growing interest in fine-tuning them for downstream tasks, where LoRA is the dominant fine-tuning paradigm. As 3D datasets exhi…

cs.CV2026

Marginalized Bundle Adjustment: Multi-View Camera Pose from Monocular Depth Estimates

Shengjie Zhu, Ahmed Abdelkader, Mark J. Matthews +2

Structure-from-Motion (SfM) is a fundamental 3D vision task for recovering camera parameters and scene geometry from multi-view images. While recent deep learning advances enable a…

cs.CV2025

Mull-Tokens: Modality-Agnostic Latent Thinking

Arijit Ray, Ahmed Abdelkader, Chengzhi Mao +5

Reasoning goes beyond language; the real world requires reasoning about space, time, affordances, and much more that words alone cannot convey. Existing multimodal models exploring…

cs.CV2021★ 23 cited

The Intrinsic Dimension of Images and Its Impact on Learning

Phillip Pope, Chen Zhu, Ahmed Abdelkader +2

It is widely believed that natural image data exhibits low-dimensional structure despite the high dimensionality of conventional pixel representations. This idea underlies a common…

cs.CV2020★ 4 cited

Detection as Regression: Certified Object Detection by Median Smoothing

Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader +3

Despite the vulnerability of object detectors to adversarial attacks, very few defenses are known to date. While adversarial training can improve the empirical robustness of image…