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03/21/2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
The Lucas-Kanade (LK) method is a classic iterative homography estimatio...
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07/12/2022
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation
Point cloud semantic segmentation has attracted attentions due to its ro...
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10/19/2021
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map
LiDAR odometry and localization has attracted increasing research intere...
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09/08/2021
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
Projecting the point cloud on the 2D spherical range image transforms th...
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05/23/2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Graph convolutional networks (GCNs) are widely used in graph-based appli...
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05/04/2021
3D Vehicle Detection Using Camera and Low-Resolution LiDAR
Nowadays, Light Detection And Ranging (LiDAR) has been widely used in au...
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04/22/2021
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Estimating homography to align image pairs captured by different sensors...
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04/17/2021
A Surface Geometry Model for LiDAR Depth Completion
LiDAR depth completion is a task that predicts depth values for every pi...
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03/03/2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Point cloud patterns are hard to learn because of the implicit local geo...
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06/21/2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning
In contrast to the literature where the graph local patterns are capture...
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06/13/2020
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation
In recent years, convolutional neural network has gained popularity in m...
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06/01/2020
Review on 3D Lidar Localization for Autonomous Driving Cars
LIDAR sensors are bound to become one the core sensors in achieving full...
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06/01/2020
Automatic Building and Labeling of HD Maps with Deep Learning
In a world where autonomous driving cars are becoming increasingly more ...
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05/29/2020
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN
In this paper, a scalable neural network hardware architecture for image...
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03/12/2020
Learning to Segment 3D Point Clouds in 2D Image Space
In contrast to the literature where local patterns in 3D point clouds ar...
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09/26/2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Graph convolutional networks (GCNs) suffer from the irregularity of grap...
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05/09/2019
Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation
Channel and frequency offset estimation is a classic topic with a large ...
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09/03/2018
A CNN Accelerator on FPGA Using Depthwise Separable Convolution
Convolutional neural networks (CNNs) have been widely deployed in the fi...
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08/10/2018
RoadNet-v2: A 10 ms Road Segmentation Using Spatial Sequence Layer
In automated driving systems (ADS) and advanced driver-assistance system...
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04/14/2018
Road Segmentation Using CNN with GRU
This paper presents an accurate and fast algorithm for road segmentation...
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11/07/2017