Multi-modal Streaming 3D Object Detection

no code implementations • 12 Sep 2022 • Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward

Recent streaming perception works proposed directly processing LiDAR slices and compensating for the narrow field of view (FOV) of a slice by reusing features from preceding slices.

3D Object Detection Autonomous Vehicles +3

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework

no code implementations • 31 Jul 2021 • Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang

Deep learning based image classification models are shown vulnerable to adversarial attacks by injecting deliberately crafted noises to clean images.

Adversarial Defense Image Classification +1

Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection

no code implementations • 17 Mar 2021 • Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward

The dense RGB input contributed more to the success of the adversarial attacks on both cascaded and fusion models.

Adversarial Attack Autonomous Vehicles

Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models

no code implementations • 26 Jan 2021 • Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward

We attack a prominent cascaded multi-modal DNN, the Frustum-Pointnet model.

3D Object Detection Adversarial Attack +2