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 …
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 …
An adaptive dual-weighted feature network for insulator detection in transmission lines
J Zhang, X Wang, Y Li, D Li, F Wang, L Li… - Neural Computing and …, 2025 - Springer
In the field of electrical power applications, high-voltage insulators necessitate routine
inspection to assure the security and stability of the whole electric power system operation …
inspection to assure the security and stability of the whole electric power system operation …
Intra-modality Self-enhancement Mirror Network for RGB-T Salient Object Detection
The inherent imaging properties of sensors result in two distinct differences between the
data from the two modalities in RGB-T Salient Object Detection (SOD) tasks. Namely …
data from the two modalities in RGB-T Salient Object Detection (SOD) tasks. Namely …
Poly-cam: high resolution class activation map for convolutional neural networks
The demand for explainable AI continues to rise alongside advancements in deep learning
technology. Existing methods such as convolutional neural networks often struggle to …
technology. Existing methods such as convolutional neural networks often struggle to …
Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method
Y Bi, P Liu, T Zhang, J Shi, C Wang - Scientific Reports, 2025 - nature.com
Semantic segmentation of LIDAR point clouds is essential for autonomous driving. However,
current methods often suffer from low segmentation accuracy and feature redundancy. To …
current methods often suffer from low segmentation accuracy and feature redundancy. To …
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 …
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 …