research
∙
10/28/2022
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition
Fine tuning self supervised pretrained models using pseudo labels can ef...
share
research
∙
12/09/2021
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Recently, records on stereo matching benchmarks are constantly broken by...
research
∙
08/17/2021
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Camera and 3D LiDAR sensors have become indispensable devices in modern ...
research
∙
02/15/2021
Measuring the Internet during Covid-19 to Evaluate Work-from-Home
The Covid-19 pandemic has radically changed our lives. Under different c...
research
∙
11/27/2020
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
The strong demand of autonomous driving in the industry has lead to stro...
research
∙
08/04/2020
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
research
∙
04/09/2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
research
∙
03/05/2019
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Recently, leveraging on the development of end-to-end convolutional neur...
research
∙
08/27/2018
Discriminative Representation Combinations for Accurate Face Spoofing Detection
Three discriminative representations for face presentation attack detect...
research
∙
03/14/2018
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching
Recently convolutional neural network (CNN) promotes the development of ...
research
∙
03/13/2018