Dongyu Pan — accepted AI-conference papers

2026

TACO: Task-Aware Contrastive Learning for Joint LiDAR Localization and 3D Object Detection

Leyuan Xing, Huanjia Zhang, Dongyu Pan, Hai Wu, Qiming Xia, Kezheng Xiong +3

CVPR 2026

Reliable navigation and decision-making of autonomous vehicles require both accurate localization and object detection. Traditionally, these two tasks are handled separately, leading to redundant computation and limited cross-task knowledge transfer. This paper proposes TACO, the first Task-Aware CO

Cited by 0 Source ↗code ↗Scholar ↗

2025

Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception

Hongwei Lin, Dongyu Pan, Qiming Xia, Hai Wu, Cheng Wang, Siqi Shen +1

ICCV 2025poster

Recently, learning-based multi-agent cooperative perception has garnered widespread attention. However, the inherent vulnerabilities of neural networks, combined with the risks posed by cooperative communication as a wide-open backdoor, render these systems highly susceptible to adversarial attacks.…

Cited by 0 Source ↗PDF ↗Scholar ↗