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09/17/2023
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation
We propose Neural Gradient Learning (NGL), a deep learning approach to l...
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09/05/2023
Design of a New CIM-DCSK-Based Ambient Backscatter Communication System
To improve the data rate in differential chaos shift keying (DCSK) based...
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07/20/2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Despite the rapid progress in self-supervised learning (SSL), end-to-end...
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07/17/2023
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Dense retrieval (DR) converts queries and documents into dense embedding...
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05/10/2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
We propose a novel method called SHS-Net for oriented normal estimation ...
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10/28/2022
Design of Protograph LDPC-Coded MIMO-VLC Systems with Generalized Spatial Modulation
This paper investigates the bit-interleaved coded generalized spatial mo...
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10/13/2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
We propose a novel normal estimation method called HSurf-Net, which can ...
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10/06/2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Surface reconstruction for point clouds is an important task in 3D compu...
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09/17/2022
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
Deep learning has made great strides for object detection in images. The...
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08/27/2022
SR-DCSK Cooperative Communication System with Code Index Modulation: A New Design for 6G New Radios
This paper proposes a high-throughput short reference differential chaos...
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08/17/2022
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision
People with blindness and low vision (pBLV) experience significant chall...
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08/16/2022
Asymmetric Dual-Mode Constellation and Protograph LDPC Code Design for Generalized Spatial MPPM Systems
To achieve reliable and efficient transmissions in free-space optical (F...
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07/11/2022
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging t...
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07/06/2022
Perceptual Quality Assessment of Omnidirectional Images
Omnidirectional images and videos can provide immersive experience of re...
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05/14/2022
Design of a Reconfigurable Intelligent Surface-Assisted FM-DCSK-SWIPT Scheme with Non-linear Energy Harvesting Model
In this paper, we propose a reconfigurable intelligent surface (RIS)-ass...
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04/16/2022
Multi-organ Segmentation Network with Adversarial Performance Validator
CT organ segmentation on computed tomography (CT) images becomes a signi...
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03/26/2022
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder
Learning representations for point clouds is an important task in 3D com...
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03/21/2022
DIANES: A DEI Audit Toolkit for News Sources
Professional news media organizations have always touted the importance ...
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03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
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02/10/2022
A Multi-task Learning Framework for Product Ranking with BERT
Product ranking is a crucial component for many e-commerce services. One...
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02/01/2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Structure information extraction refers to the task of extracting struct...
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12/25/2021
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See” More, Farther and Faster
Advanced wearable devices are increasingly incorporating high-resolution...
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12/16/2021
Protograph-based Bit-Interleaved Coded Modulation: A Promising Bandwidth-Efficient Design Paradigm
As an established bandwidth-efficient coded modulation technique, bit-in...
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11/23/2021
Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network
The neural machine translation model assumes that syntax knowledge can b...
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10/08/2021
Meta-Learning 3D Shape Segmentation Functions
Learning robust 3D shape segmentation functions with deep neural network...
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10/08/2021
3D Meta-Segmentation Neural Network
Though deep learning methods have shown great success in 3D point cloud ...
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10/07/2021
RAR: Region-Aware Point Cloud Registration
This paper concerns the research problem of point cloud registration to ...
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09/21/2021
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
With the popularity of 3D sensors in self-driving and other robotics app...
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08/07/2021
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Lane segmentation is a challenging issue in autonomous driving system de...
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08/02/2021
Performance Analysis of a Two-Hop Relaying LoRa System
The conventional LoRa system is not able to sustain long-range communica...
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06/22/2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
Analyzing the structure of proteins is a key part of understanding their...
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06/22/2021
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Non-linear (large) time warping is a challenging source of nuisance in t...
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03/22/2021
Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs
In this work, we develop a pair of rate-diverse encoder and decoder for ...
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11/06/2020
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
For short distance traveling in crowded urban areas, bike share services...
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06/26/2020
Meta Deformation Network: Meta Functionals for Shape Correspondence
We present a new technique named "Meta Deformation Network" for 3D shape...
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04/07/2020
Design of Link-Selection Strategies for Buffer-Aided DCSK-SWIPT Relay System
Adaptive link selection for buffer-aided relaying can achieve significan...
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03/16/2020
Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT
Code index modulated multi-carrier M-ary differential chaos shift keying...
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11/06/2019
Analysis and Optimization of Tail-Biting Spatially Coupled Protograph LDPC Codes for BICM-ID Systems
As a typical example of bandwidth-efficient techniques, bit-interleaved ...
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10/14/2019
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
To better address challenging issues of the irregularity and inhomogenei...
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09/28/2019
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
Learning to predict scene depth and camera motion from RGB inputs only i...
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09/10/2019
Structure-Attentioned Memory Network for Monocular Depth Estimation
Monocular depth estimation is a challenging task that aims to predict a ...
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09/09/2019
Learning Object-specific Distance from a Monocular Image
Environment perception, including object detection and distance estimati...
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06/07/2019
Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration
Given new pairs of source and target point sets, standard point set regi...
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04/16/2019
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
This paper focuses on robotic picking tasks in cluttered scenario. Becau...
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04/02/2019
Non-Rigid Point Set Registration Networks
Point set registration is defined as a process to determine the spatial ...
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03/04/2019
Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications
Block-fading (BF) channel, also known as slow-fading channel, is a type ...
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02/12/2019
QoS-Aware Buffer-Aided Relaying Implant WBAN for Healthcare IoT: Opportunities and Challenges
Internet of Things (IoT) have motivated a paradigm shift in the developm...
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07/04/2018
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
Due to the large cross-modality discrepancy between 2D sketches and 3D s...
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04/29/2018
Collaborative Memory Network for Recommendation Systems
Recommendation systems play a vital role to keep users engaged with pers...
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02/10/2018
