9 citations · 13 across the 5 of their papers we have counts for
5 papers · 1 filter
Autofocus for Event Cameras
Shijie Lin, Yinqiang Zhang, Lei Yu +3
Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus se…
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
Shaoqing Xu, Dingfu Zhou, Jin Fang +3
Accurate detection of obstacles in 3D is an essential task for autonomous driving and intelligent transportation. In this work, we propose a general multimodal fusion framework Fus…
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…
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…
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
Feixiang Lu, Zongdai Liu, Xibin Song +8
We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving. Our approach combines the streng…