b'Tao Lu'

research

∙ 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...

0 Jianghao Wu, et al. ∙

research

∙ 09/09/2023

PyHGL: A Python-based Hardware Generation Language Framework

Hardware generation languages (HGLs) increase hardware design productivi...

0 Jintao Sun, et al. ∙

research

∙ 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...

0 Haisong Liu, et al. ∙

research

∙ 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 (...

0 Jia Fu, et al. ∙

research

∙ 03/28/2023

LinK: Linear Kernel for LiDAR-based 3D Perception

Extending the success of 2D Large Kernel to 3D perception is challenging...

0 Tao Lu, et al. ∙

research

∙ 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...

0 Haisong Liu, et al. ∙

research

∙ 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...

0 Yifeng Bie, et al. ∙

research

∙ 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...

0 Tao Lu, et al. ∙

research

∙ 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...

0 Brosnan Yuen, et al. ∙

research

∙ 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...

19 Wei Liu, et al. ∙

research

∙ 02/19/2022

Holistic Attention-Fusion Adversarial Network for Single Image Defogging

Adversarial learning-based image defogging methods have been extensively...

0 Wei Liu, et al. ∙

research

∙ 11/29/2021

Passive Indoor Localization with WiFi Fingerprints

This paper proposes passive WiFi indoor localization. Instead of using W...

0 Minh Tu Hoang, et al. ∙

research

∙ 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...

0 Haisong Liu, et al. ∙

research

∙ 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...

4 Yuanzhi Wang, et al. ∙

research

∙ 07/09/2021

A Survey on RISC-V Security: Hardware and Architecture

The Internet of Things (IoT) is an ongoing technological revolution. Emb...

0 Tao Lu, et al. ∙

research

∙ 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...

0 Zhenfeng Shao, et al. ∙

research

∙ 05/24/2021

Pan-sharpening via High-pass Modification Convolutional Neural Network

Most existing deep learning-based pan-sharpening methods have several wi...

0 Jiaming Wang, et al. ∙

research

∙ 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...

0 Zhiqiang Wang, et al. ∙

research

∙ 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 ...

0 Yuanzhi Wang, et al. ∙

research

∙ 03/29/2021

Omniscient Video Super-Resolution

Most recent video super-resolution (SR) methods either adopt an iterativ...

0 Peng Yi, et al. ∙

research

∙ 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...

0 Ahmed Elmoogy, et al. ∙

research

∙ 11/16/2020

ACDER: Augmented Curiosity-Driven Experience Replay

Exploration in environments with sparse feedback remains a challenging r...

0 Boyao Li, et al. ∙

research

∙ 11/07/2020

Universal Activation Function For Machine Learning

This article proposes a Universal Activation Function (UAF) that achieve...

0 Brosnan Yuen, et al. ∙

research

∙ 10/22/2020

Face Hallucination Using Split-Attention in Split-Attention Network

Face hallucination is a domain-specific super-resolution (SR), that gene...

0 Yuanzhi Wang, et al. ∙

research

∙ 05/13/2020

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization

This paper proposes a combined network structure between convolutional n...

10 Minh Tu Hoang, et al. ∙

research

∙ 04/01/2020

Feature-Driven Super-Resolution for Object Detection

Although some convolutional neural networks (CNNs) based super-resolutio...

0 Bin Wang, et al. ∙

research

∙ 01/08/2020

Semi-Sequential Probabilistic Model For Indoor Localization Enhancement

This paper proposes a semi-sequential probabilistic model (SSP) that app...

0 Minh Tu Hoang, et al. ∙

research

∙ 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...

1 Luyun Gan, et al. ∙

research

∙ 05/09/2019

Compositional Coding for Collaborative Filtering

Efficiency is crucial to the online recommender systems. Representing us...

0 Chenghao Liu, et al. ∙

research

∙ 04/14/2019

Localizing Discriminative Visual Landmarks for Place Recognition

We address the problem of visual place recognition with perceptual chang...

6 Zhe Xin, et al. ∙

research

∙ 03/27/2019

Recurrent Neural Networks For Accurate RSSI Indoor Localization

This paper proposes recurrent neuron networks (RNNs) for a fingerprintin...

1 Minh Tu Hoang, et al. ∙

research

∙ 03/19/2019

Hindsight Generative Adversarial Imitation Learning

Compared to reinforcement learning, imitation learning (IL) is a powerfu...

0 Naijun Liu, et al. ∙

research

∙ 05/10/2017

IOTune: A G-states Driver for Elastic Performance of Block Storage

Imagining a disk which provides baseline performance at a relatively low...

0 Tao Lu, et al. ∙

Tao Lu

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