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07/12/2023
A Comprehensive Overview of Large Language Models
Large Language Models (LLMs) have shown excellent generalization capabil...
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07/03/2023
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input
Localization is a fundamental task in robotics for autonomous navigation...
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01/21/2023
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Precise localization is critical for autonomous vehicles. We present a s...
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12/05/2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis
Point cloud analysis is receiving increasing attention, however, most ex...
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04/16/2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Inspired by the human cognitive system, attention is a mechanism that im...
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02/11/2022
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
We propose an automatic framework for toll collection, consisting of thr...
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11/24/2021
PU-Transformer: Point Cloud Upsampling Transformer
Given the rapid development of 3D scanners, point clouds are becoming po...
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08/16/2021
PnP-3D: A Plug-and-Play for 3D Point Clouds
With the help of the deep learning paradigm, many point cloud networks h...
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08/02/2021
Investigating Attention Mechanism in 3D Point Cloud Object Detection
Object detection in three-dimensional (3D) space attracts much interest ...
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06/20/2021
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
Underwater image restoration is of significant importance in unveiling t...
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04/27/2021
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
Underwater images suffer from color casts and low contrast due to wavele...
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03/17/2021
Single Underwater Image Restoration by Contrastive Learning
Underwater image restoration attracts significant attention due to its i...
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03/12/2021
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Given the prominence of current 3D sensors, a fine-grained analysis on t...
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02/12/2021
Densely Deformable Efficient Salient Object Detection Network
Salient Object Detection (SOD) domain using RGB-D data has lately emerge...
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09/07/2020
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable
Ever since the advent of AlexNet, designing novel deep neural architectu...
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09/07/2020
Uncertainty Inspired RGB-D Saliency Detection
We propose the first stochastic framework to employ uncertainty for RGB-...
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08/25/2020
Image Colorization: A Survey and Dataset
Image colorization is an essential image processing and computer vision ...
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05/14/2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Point cloud analysis is attracting attention from Artificial Intelligenc...
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04/26/2020
Identity Enhanced Residual Image Denoising
We propose to learn a fully-convolutional network model that consists of...
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04/26/2020
Attention Prior for Real Image Restoration
Deep convolutional neural networks perform better on images containing s...
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04/15/2020
Mosaic Super-resolution via Sequential Feature Pyramid Networks
Advances in the design of multi-spectral cameras have led to great inter...
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03/24/2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
To make the best use of the underlying minute and subtle differences, fi...
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11/28/2019
Geometric Feedback Network for Point Cloud Classification
As the basic task of point cloud learning, classification is fundamental...
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10/09/2019
Deep localization of protein structures in fluorescence microscopy images
Accurate localization of proteins from fluorescence microscopy images is...
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09/17/2019
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network
This paper introduces a novel method to super-resolve multi-spectral ima...
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08/26/2019
CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
We perform classification of ancient Roman Republican coins via recogniz...
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07/17/2019
Diving Deeper into Underwater Image Enhancement: A Survey
The powerful representation capacity of deep learning has made it inevit...
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06/28/2019
Densely Residual Laplacian Super-Resolution
Super-Resolution convolutional neural networks have recently demonstrate...
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04/16/2019
A Deep Journey into Super-resolution: A survey
Deep convolutional networks based super-resolution is a fast-growing fie...
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04/16/2019
Real Image Denoising with Feature Attention
Deep convolutional neural networks perform better on images containing s...
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07/10/2018
Deep Underwater Image Enhancement
In an underwater scene, wavelength-dependent light absorption and scatte...
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12/08/2017
