activity
20132021
most citedCenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

407 citations · 1.3k across the 34 of their papers we have counts for

collaborators

34 papers

cs.CV2021★ 2 cited

CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking

Ramin Nabati, Landon Harris, Hairong Qi

3D multi-object tracking is a crucial component in the perception system of autonomous driving vehicles. Tracking all dynamic objects around the vehicle is essential for tasks such…

cs.CR2021★ 8 cited

Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids

Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun +2

False data injection attacks (FDIAs) pose a significant security threat to power system state estimation. To detect such attacks, recent studies have proposed machine learning (ML)…

cs.CV2020★ 407 cited

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

Ramin Nabati, Hairong Qi

The perception system in autonomous vehicles is responsible for detecting and tracking the surrounding objects. This is usually done by taking advantage of several sensing modaliti…

cs.CV2020★ 32 cited

Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles

Ramin Nabati, Hairong Qi

In this paper we present a novel radar-camera sensor fusion framework for accurate object detection and distance estimation in autonomous driving scenarios. The proposed architectu…

cs.CV2020★ 43 cited

Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification

Ying Qu, Razieh Kaviani Baghbaderani, Wei Li +2

Hyperspectral image (HSI) classification is one of the most active research topics and has achieved promising results boosted by the recent development of deep learning. However, m…

cs.CV2020

Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery

Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi +1

Land cover classification of satellite imagery is an important step toward analyzing the Earth's surface. Existing models assume a closed-set setting where both the training and te…