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09/21/2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Stochastic Gradient Descent (SGD), a widely used optimization algorithm ...
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08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
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08/14/2023
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow
Multiple object tracking (MOT) has been successfully investigated in com...
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05/15/2023
Improving ChatGPT Prompt for Code Generation
Automated code generation can be a powerful technique for software devel...
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05/03/2023
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
We present a one-shot method to infer and render a photorealistic 3D rep...
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04/20/2023
Is ChatGPT a Good Recommender? A Preliminary Study
Recommendation systems have witnessed significant advancements and have ...
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04/14/2023
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning
Automatic and periodic recompiling of building databases with up-to-date...
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03/08/2023
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales
Gabor wavelet is an essential tool for image analysis and computer visio...
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12/07/2022
Generalized Hamming Weights of Linear Codes from Quadratic Forms over Finite Fields of Even Characteristic
The generalized Hamming weight of linear codes is a natural generalizati...
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09/13/2022
Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold
The core problem of text-based person retrieval is how to bridge the het...
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09/13/2022
CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
Given a natural language description, text-based person retrieval aims t...
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08/28/2022
Asynchronous Training Schemes in Distributed Learning with Time Delay
In the context of distributed deep learning, the issue of stale weights ...
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07/14/2022
Immunofluorescence Capillary Imaging Segmentation: Cases Study
Nonunion is one of the challenges faced by orthopedics clinics for the t...
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06/27/2022
SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds
Registering urban point clouds is a quite challenging task due to the la...
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04/27/2022
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Knowledge graph embedding methods are important for knowledge graph comp...
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04/25/2022
Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks
With the multi-dimensional exploration towards oceans, enormous sensing ...
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04/09/2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Single-stage detectors suffer from extreme foreground-background class i...
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03/28/2022
MixNN: A design for protecting deep learning models
In this paper, we propose a novel design, called MixNN, for protecting d...
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03/26/2022
Implementation of an Automated Learning System for Non-experts
Automated machine learning systems for non-experts could be critical for...
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03/07/2022
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context
Task-oriented dialogue systems have become overwhelmingly popular in rec...
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01/13/2022
Recursive Least Squares Policy Control with Echo State Network
The echo state network (ESN) is a special type of recurrent neural netwo...
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01/11/2022
A Low-Cost, Highly Customizable Solution for Position Estimation in Modular Robots
Accurate position sensing is important for state estimation and control ...
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01/04/2022
Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network
Static graph neural networks have been widely used in modeling and repre...
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01/04/2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Graph neural networks can be effectively applied to find solutions for m...
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12/01/2021
Trusted And Confidential Program Analysis
We develop the concept of Trusted and Confidential Program Analysis (TCP...
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10/31/2021
Learned Image Compression with Separate Hyperprior Decoders
Learned image compression techniques have achieved considerable developm...
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09/05/2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Adversarial attacks attempt to disrupt the training, retraining and util...
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08/19/2021
Learned Video Compression with Residual Prediction and Loop Filter
In this paper, we propose a learned video codec with a residual predicti...
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08/10/2021
MiB: Asynchronous BFT with More Replicas
State-of-the-art asynchronous Byzantine fault-tolerant (BFT) protocols, ...
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07/31/2021
Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion
Truss robots are highly redundant parallel robotic systems and can be ap...
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06/16/2021
2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection
In an autonomous driving system, it is essential to recognize vehicles, ...
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04/06/2021
A Quadratic Programming Approach to Manipulation in Real-Time Using Modular Robots
Motion planning in high-dimensional space is a challenging task. In orde...
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04/01/2021
SMORES-EP, a Modular Robot with Parallel Self-assembly
Self-assembly of modular robotic systems enables the construction of com...
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03/04/2021
BLOCKEYE: Hunting For DeFi Attacks on Blockchain
Decentralized finance, i.e., DeFi, has become the most popular type of a...
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12/24/2020
LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
Restoring images from low-light data is a challenging problem. Most exis...
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12/24/2020
UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
Low-light image enhancement, such as recovering color and texture detail...
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11/04/2020
Opportunities and Challenges in Code Search Tools
Code search is a core software engineering task. Effective code search t...
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11/02/2020
FeatherTTS: Robust and Efficient attention based Neural TTS
Attention based neural TTS is elegant speech synthesis pipeline and has ...
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10/25/2020
A QP-adaptive Mechanism for CNN-based Filter in Video Coding
Convolutional neural network (CNN)-based filters have achieved great suc...
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09/06/2020
A Convolutional Neural Network-Based Low Complexity Filter
Convolutional Neural Network (CNN)-based filters have achieved significa...
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09/05/2020
Reverse-engineering Bar Charts Using Neural Networks
Reverse-engineering bar charts extracts textual and numeric information ...
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06/25/2020
On the Replicability and Reproducibility of Deep Learning in Software Engineering
Deep learning (DL) techniques have gained significant popularity among s...
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05/29/2020
Simplifying Deep-Learning-Based Model for Code Search
To accelerate software development, developers frequently search and reu...
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01/28/2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study an
Background: Elderly patients with MODS have high risk of death and poor ...
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11/22/2019
Dual Learning-based Video Coding with Inception Dense Blocks
In this paper, a dual learning-based method in intra coding is introduce...
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10/21/2019
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net
The clinical treatment of degenerative and developmental lumbar spinal s...
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09/30/2019
MIOpen: An Open Source Library For Deep Learning Primitives
Deep Learning has established itself to be a common occurrence in the bu...
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09/29/2019
Salient Instance Segmentation via Subitizing and Clustering
The goal of salient region detection is to identify the regions of an im...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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01/09/2019
