Toward robust 3d perception for autonomous vehicles: A review of adversarial attacks and countermeasures
At present the perception system of autonomous vehicles is grounded on 3D vision
technologies along with deep learning to process depth information. Although deep learning …
technologies along with deep learning to process depth information. Although deep learning …
Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition
Recent research has elucidated the susceptibility of face recognition models to physical
adversarial patches, thus provoking security concerns about the deployed face recognition …
adversarial patches, thus provoking security concerns about the deployed face recognition …
Enhancing rotated object detection via Anisotropic Gaussian bounding box and Bhattacharyya distance
Detecting rotated objects accurately and efficiently is a significant challenge in computer
vision, particularly in applications such as aerial imagery, remote sensing, and autonomous …
vision, particularly in applications such as aerial imagery, remote sensing, and autonomous …
Physically Realizable Adversarial Creating Attack against Vision-based BEV Space 3D Object Detection
Vision-based 3D object detection, a cost-effective alternative to LiDAR-based solutions,
plays a crucial role in modern autonomous driving systems. Meanwhile, deep models have …
plays a crucial role in modern autonomous driving systems. Meanwhile, deep models have …
3D Visual Grounding-Audio: 3D scene object detection based on audio
C Zhang, Z Cai, X Chen, F Da, S Gai - Neurocomputing, 2025 - Elsevier
Abstract 3D Visual Grounding (3DVG) is a prevalent multi-modal information fusion task
capable of accurately localizing target objects referenced in natural language descriptions …
capable of accurately localizing target objects referenced in natural language descriptions …
Prototypical Transformer as Unified Motion Learners
In this work, we introduce the Prototypical Transformer (ProtoFormer), a general and unified
framework that approaches various motion tasks from a prototype perspective. ProtoFormer …
framework that approaches various motion tasks from a prototype perspective. ProtoFormer …
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous
driving. However, various attacks target MDE models, with physical attacks posing …
driving. However, various attacks target MDE models, with physical attacks posing …