activity
20182021
most citedPerMO: Perceiving More at Once from a Single Image for Autonomous Driving

4 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2021

Domain Adaptive Monocular Depth Estimation With Semantic Information

Fei Lu, Hyeonwoo Yu, Jean Oh

The advent of deep learning has brought an impressive advance to monocular depth estimation, e.g., supervised monocular depth estimation has been thoroughly investigated. However,…

cs.CV2021

Robust 2D/3D Vehicle Parsing in CVIS

Hui Miao, Feixiang Lu, Zongdai Liu +3

We present a novel approach to robustly detect and perceive vehicles in different camera views as part of a cooperative vehicle-infrastructure system (CVIS). Our formulation is des…

cs.CV2021

IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image

Dingfu Zhou, Xibin Song, Yuchao Dai +5

3D object detection from a single image is an important task in Autonomous Driving (AD), where various approaches have been proposed. However, the task is intrinsically ambiguous a…

cs.CV2021

Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation

Feixiang Lu, Zongdai Liu, Hui Miao +5

Holistically understanding an object and its 3D movable parts through visual perception models is essential for enabling an autonomous agent to interact with the world. For autonom…

cs.RO20204 cited

AES: Autonomous Excavator System for Real-World and Hazardous Environments

Jinxin Zhao, Pinxin Long, Liyang Wang +5

Excavators are widely used for material-handling applications in unstructured environments, including mining and construction. The size of the global market of excavators is 44.12…

cs.CV20202 cited

DVI: Depth Guided Video Inpainting for Autonomous Driving

Miao Liao, Feixiang Lu, Dingfu Zhou +3

To get clear street-view and photo-realistic simulation in autonomous driving, we present an automatic video inpainting algorithm that can remove traffic agents from videos and syn…