53 citations · 82 across the 6 of their papers we have counts for
6 papers
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts
Zizhang Wu, Yuanzhu Gan, Lei Wang +2
Monocular 3D object detection reveals an economical but challenging task in autonomous driving. Recently center-based monocular methods have developed rapidly with a great trade-of…
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
Zizhang Wu, Wenkai Zhang, Jizheng Wang +5
The 3D visual perception for vehicles with the surround-view fisheye camera system is a critical and challenging task for low-cost urban autonomous driving. While existing monocula…
VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
Yuan Gan, Yawei Luo, Xin Yu +2
In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots. We propose a pure transforme…
A New Automatic Tool for CME Detection and Tracking with Machine Learning Techniques
Pengyu Wang, Yan Zhang, Li Feng +7
With the accumulation of big data of CME observations by coronagraphs, automatic detection and tracking of CMEs has proven to be crucial. The excellent performance of convolutional…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…
3D Shape Segmentation via Shape Fully Convolutional Networks
Pengyu Wang, Yuan Gan, Panpan Shui +4
We desgin a novel fully convolutional network architecture for shapes, denoted by Shape Fully Convolutional Networks (SFCN). 3D shapes are represented as graph structures in the SF…