158 citations · 180 across the 5 of their papers we have counts for
5 papers
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
Hyunyoung Jung, Zhuo Hui, Lei Luo +5
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs. However, downsizing inputs makes the esti…
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang, Bo Sun, Haitao Yang +1
We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection of oriented object bounding boxes (or BB) and their semantic labels. The critical idea…
Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video
Li Li, Zhu Li, Xiang Ma +2
The polyhedron projection for 360-degree video is becoming more and more popular since it can lead to much less geometry distortion compared with the equirectangular projection. Ho…
An Efficient Four-Parameter Affine Motion Model for Video Coding
Li Li, Houqiang Li, Dong Liu +4
In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity.…
Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding
Yue Li, Dong Liu, Houqiang Li +4
Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block…