41 citations · 49 across the 10 of their papers we have counts for
10 papers
Human from Blur: Human Pose Tracking from Blurry Images
Yiming Zhao, Denys Rozumnyi, Jie Song +3
We propose a method to estimate 3D human poses from substantially blurred images. The key idea is to tackle the inverse problem of image deblurring by modeling the forward problem…
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation
Lin Bai, Yiming Zhao, Xinming Huang
Point cloud semantic segmentation has attracted attentions due to its robustness to light condition. This makes it an ideal semantic solution for autonomous driving. However, consi…
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation
Yiming Zhao, Xiao Zhang, Xinming Huang
Clustering objects from the LiDAR point cloud is an important research problem with many applications such as autonomous driving. To meet the real-time requirement, existing resear…
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
Yiming Zhao, Lin Bai, Xinming Huang
Projecting the point cloud on the 2D spherical range image transforms the LiDAR semantic segmentation to a 2D segmentation task on the range image. However, the LiDAR range image i…
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation
Yiming Zhao, Xiao Zhang, Xinming Huang
LiDAR panoptic segmentation is a newly proposed technical task for autonomous driving. In contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an…
Enabling 3D Object Detection with a Low-Resolution LiDAR
Lin Bai, Yiming Zhao, Xinming Huang
Light Detection And Ranging (LiDAR) has been widely used in autonomous vehicles for perception and localization. However, the cost of a high-resolution LiDAR is still prohibitively…
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Yiming Zhao, Xinming Huang, Ziming Zhang
Estimating homography to align image pairs captured by different sensors or image pairs with large appearance changes is an important and general challenge for many computer vision…
A Surface Geometry Model for LiDAR Depth Completion
Yiming Zhao, Lin Bai, Ziming Zhang +1
LiDAR depth completion is a task that predicts depth values for every pixel on the corresponding camera frame, although only sparse LiDAR points are available. Most of the existing…
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles
Lin Bai, Yiming Zhao, Mahdi Elhousni +1
Autonomous vehicles rely heavily on sensors such as camera and LiDAR, which provide real-time information about their surroundings for the tasks of perception, planning and control…
A CNN Accelerator on FPGA Using Depthwise Separable Convolution
Lin Bai, Yiming Zhao, Xinming Huang
Convolutional neural networks (CNNs) have been widely deployed in the fields of computer vision and pattern recognition because of their high accuracy. However, large convolution o…