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09/16/2023
Unsupervised Green Object Tracker (GOT) without Offline Pre-training
Supervised trackers trained on labeled data dominate the single object t...
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09/16/2023
Bias and Fairness in Chatbots: An Overview
Chatbots have been studied for more than half a century. With the rapid ...
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06/06/2023
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
A novel learning solution to image steganalysis based on the green learn...
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06/02/2023
An Overview on Generative AI at Scale with Edge-Cloud Computing
As a specific category of artificial intelligence (AI), generative artif...
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04/25/2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ensuring the realism of computer-generated synthetic images is crucial t...
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04/01/2023
Knowledge Graph Embedding with 3D Compound Geometric Transformations
The cascade of 2D geometric transformations were exploited to model rela...
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03/20/2023
A Tiny Machine Learning Model for Point Cloud Object Classification
The design of a tiny machine learning model, which can be deployed in mo...
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03/10/2023
An Overview on Language Models: Recent Developments and Outlook
Language modeling studies the probability distributions over strings of ...
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02/27/2023
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds
An efficient 3D scene flow estimation method called PointFlowHop is prop...
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02/27/2023
LSR: A Light-Weight Super-Resolution Method
A light-weight super-resolution (LSR) method from a single image targeti...
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02/22/2023
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Many point cloud classification methods are developed under the assumpti...
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01/21/2023
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
Cardiac cine magnetic resonance imaging (MRI) has been used to character...
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12/22/2022
SALVE: Self-supervised Adaptive Low-light Video Enhancement
A self-supervised adaptive low-light video enhancement (SALVE) method is...
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11/02/2022
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem
Recovering unknown, missing, damaged, distorted or lost information in D...
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10/07/2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Being different from deep-learning-based (DL-based) image generation met...
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10/03/2022
Green Learning: Introduction, Examples and Outlook
Rapid advances in artificial intelligence (AI) in the last decade have l...
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09/23/2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier
We offer a method for one-shot image synthesis that allows controlling m...
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08/19/2022
GreenKGC: A Lightweight Knowledge Graph Completion Method
Knowledge graph completion (KGC) aims to discover missing relationships ...
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08/16/2022
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
Unsupervised domain adaptation (UDA) has been widely used to transfer kn...
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08/16/2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) has been successfully applied to tr...
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08/15/2022
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing
Built upon the decision tree (DT) classification and regression idea, th...
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08/03/2022
Statistical Attention Localization (SAL): Methodology and Application to Object Classification
A statistical attention localization (SAL) method is proposed to facilit...
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07/31/2022
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics
Language modality within the vision language pretraining framework is in...
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07/24/2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Normalizing flow models have been used successfully for generative image...
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07/15/2022
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
Supervised and unsupervised deep trackers that rely on deep learning tec...
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07/12/2022
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations
Translation, rotation, and scaling are three commonly used geometric man...
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06/20/2022
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
Word Mover's Distance (WMD) computes the distance between words and mode...
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06/18/2022
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking
The design of robust learning systems that offer stable performance unde...
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06/05/2022
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training
Unsupervised domain adaptation (UDA) has been vastly explored to allevia...
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06/01/2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
This work presents a generative modeling approach based on successive su...
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05/11/2022
Subspace Learning Machine (SLM): Methodology and Performance
Inspired by the feedforward multilayer perceptron (FF-MLP), decision tre...
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04/30/2022
DefakeHop++: An Enhanced Lightweight Deepfake Detector
On the basis of DefakeHop, an enhanced lightweight Deepfake detector cal...
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03/28/2022
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation
A high-performance unsupervised nuclei instance segmentation (HUNIS) met...
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03/22/2022
On Supervised Feature Selection from High Dimensional Feature Spaces
The application of machine learning to image and video data often yields...
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03/05/2022
Just Rank: Rethinking Evaluation with Word and Sentence Similarities
Word and sentence embeddings are useful feature representations in natur...
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02/16/2022
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation
An unsupervised point cloud object retrieval and pose estimation method,...
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12/23/2021
A Survey on Perceptually Optimized Video Coding
Videos are developing in the trends of Ultra High Definition (UHD), High...
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12/19/2021
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
Entity type prediction is an important problem in knowledge graph (KG) r...
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12/17/2021
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Knowledge base completion is formulated as a binary classification probl...
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12/08/2021
GPCO: An Unsupervised Green Point Cloud Odometry Method
Visual odometry aims to track the incremental motion of an object using ...
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11/15/2021
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
An unsupervised, lightweight and high-performance single object tracker,...
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11/07/2021
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
A novel method for detecting CNN-generated images, called Attentive Pixe...
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10/29/2021
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
A neural network targeting at unsupervised image anomaly localization, c...
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10/26/2021
Task-Specific Dependency-based Word Embedding Methods
Two task-specific dependency-based word embedding methods are proposed f...
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10/19/2021
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
A robust fake satellite image detection method, called Geo-DefakeHop, is...
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10/14/2021
Unsupervised Data-Driven Nuclei Segmentation For Histology Images
An unsupervised data-driven nuclei segmentation method for histology ima...
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10/05/2021
UHP-SOT: An Unsupervised High-Performance Single Object Tracker
An unsupervised online object tracking method that exploits both foregro...
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09/24/2021
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
An efficient solution to semantic segmentation of large-scale indoor sce...
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08/10/2021
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
Vision-and-language(V L) models take image and text as input and learn...
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07/29/2021