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09/19/2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Domain Adaptation (DA) is important for deep learning-based medical imag...
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09/09/2023
PyHGL: A Python-based Hardware Generation Language Framework
Hardware generation languages (HGLs) increase hardware design productivi...
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08/18/2023
SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Camera-based 3D object detection in BEV (Bird's Eye View) space has draw...
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06/20/2023
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
Accurate segmentation of the fetal brain from Magnetic Resonance Image (...
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03/28/2023
LinK: Linear Kernel for LiDAR-based 3D Perception
Extending the success of 2D Large Kernel to 3D perception is challenging...
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03/21/2023
Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
In this paper, we study the problem of jointly estimating the optical fl...
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12/30/2022
Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis
Through a study of multi-gas mixture datasets, we show that in multi-com...
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05/02/2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Point-cloud-based 3D classification task involves aggregating features f...
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03/31/2022
Wi-Fi and Bluetooth Contact Tracing Without User Intervention
A custom Wi-Fi and Bluetooth indoor contact tracing system is created to...
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02/19/2022
An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining
Single image deraining has been an important topic in low-level computer...
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02/19/2022
Holistic Attention-Fusion Adversarial Network for Single Image Defogging
Adversarial learning-based image defogging methods have been extensively...
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11/29/2021
Passive Indoor Localization with WiFi Fingerprints
This paper proposes passive WiFi indoor localization. Instead of using W...
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11/20/2021
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
In this paper, we study the problem of jointly estimating the optical fl...
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09/16/2021
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network
Recently, face super-resolution (FSR) methods either feed whole face ima...
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07/09/2021
A Survey on RISC-V Security: Hardware and Architecture
The Internet of Things (IoT) is an ongoing technological revolution. Emb...
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06/05/2021
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
In this paper, we introduce a challenging global large-scale ship databa...
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05/24/2021
Pan-sharpening via High-pass Modification Convolutional Neural Network
Most existing deep learning-based pan-sharpening methods have several wi...
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05/23/2021
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Hyperspectral images (HSIs) have been widely used in a variety of applic...
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04/18/2021
Multi-scale Self-calibrated Network for Image Light Source Transfer
Image light source transfer (LLST), as the most challenging task in the ...
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03/29/2021
Omniscient Video Super-Resolution
Most recent video super-resolution (SR) methods either adopt an iterativ...
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03/17/2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
We propose a novel image based localization system using graph neural ne...
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11/16/2020
ACDER: Augmented Curiosity-Driven Experience Replay
Exploration in environments with sparse feedback remains a challenging r...
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11/07/2020
Universal Activation Function For Machine Learning
This article proposes a Universal Activation Function (UAF) that achieve...
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10/22/2020
Face Hallucination Using Split-Attention in Split-Attention Network
Face hallucination is a domain-specific super-resolution (SR), that gene...
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05/13/2020
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
This paper proposes a combined network structure between convolutional n...
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04/01/2020
Feature-Driven Super-Resolution for Object Detection
Although some convolutional neural networks (CNNs) based super-resolutio...
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01/08/2020
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
This paper proposes a semi-sequential probabilistic model (SSP) that app...
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06/24/2019
Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis
In this paper, we implement multi-label neural networks with optimal thr...
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05/09/2019
Compositional Coding for Collaborative Filtering
Efficiency is crucial to the online recommender systems. Representing us...
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04/14/2019
Localizing Discriminative Visual Landmarks for Place Recognition
We address the problem of visual place recognition with perceptual chang...
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03/27/2019
Recurrent Neural Networks For Accurate RSSI Indoor Localization
This paper proposes recurrent neuron networks (RNNs) for a fingerprintin...
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03/19/2019
Hindsight Generative Adversarial Imitation Learning
Compared to reinforcement learning, imitation learning (IL) is a powerfu...
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05/10/2017