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04/24/2023
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature
Transformer fault diagnosis (TFD) is a critical aspect of power system m...
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11/13/2022
Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging
To acquire a snapshot spectral image, coded aperture snapshot spectral i...
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06/27/2022
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation
In this paper, we present a comprehensive point cloud semantic segmentat...
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03/02/2022
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
A well-known challenge in applying deep-learning methods to omnidirectio...
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02/02/2022
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
Omnidirectional 3D information is essential for a wide range of applicat...
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09/23/2021
Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation
We present a novel lightweight convolutional neural network for point cl...
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09/23/2021
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
Feature encoding is essential for point cloud analysis. In this paper, w...
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12/29/2019
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation
Semantic instance segmentation is the task of simultaneously partitionin...
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12/05/2019
RED-NET: A Recursive Encoder-Decoder Network for Edge Detection
In this paper, we introduce RED-NET: A Recursive Encoder-Decoder Network...
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12/02/2019