41 citations · 47 across the 6 of their papers we have counts for
6 papers · 1 filter
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising
Xiaohu Lu, Hayder Radha
Object detection using LiDAR point clouds relies on a large amount of human-annotated samples when training the underlying detectors' deep neural networks. However, generating 3D b…
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Xiaohu Lu, Hayder Radha
The adversarial robustness of a model is its ability to resist adversarial attacks in the form of small perturbations to input data. Universal adversarial attack methods such as Fa…
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu, Hayder Radha
Unsupervised domain adaptation (UDA) focuses on transferring knowledge learned in the labeled source domain to the unlabeled target domain. Despite significant progress that has be…
TransCAR: Transformer-based Camera-And-Radar Fusion for 3D Object Detection
Su Pang, Daniel Morris, Hayder Radha
Despite radar's popularity in the automotive industry, for fusion-based 3D object detection, most existing works focus on LiDAR and camera fusion. In this paper, we propose TransCA…
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Su Pang, Daniel Morris, Hayder Radha
There have been significant advances in neural networks for both 3D object detection using LiDAR and 2D object detection using video. However, it has been surprisingly difficult to…
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques
Mazin Hnewa, Hayder Radha
Advanced automotive active-safety systems, in general, and autonomous vehicles, in particular, rely heavily on visual data to classify and localize objects such as pedestrians, tra…