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09/09/2023
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is al...
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09/05/2023
Monotone Tree-Based GAMI Models by Adapting XGBoost
Recent papers have used machine learning architecture to fit low-order f...
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09/04/2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
The prediction of molecular properties is a crucial task in the field of...
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09/04/2023
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
High Performance and Energy Efficiency are critical requirements for Int...
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08/31/2023
Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information
For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) ...
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08/31/2023
LightGrad: Lightweight Diffusion Probabilistic Model for Text-to-Speech
Recent advances in neural text-to-speech (TTS) models bring thousands of...
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08/16/2023
Learning to Distill Global Representation for Sparse-View CT
Sparse-view computed tomography (CT) – using a small number of projectio...
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08/07/2023
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface
This paper proposes a technique for efficiently modeling dynamic humans ...
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08/07/2023
Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Near-infrared (NIR) image spectrum translation is a challenging problem ...
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07/11/2023
Considerations for Master Protocols Using External Controls
There has been an increasing use of master protocols in oncology clinica...
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07/07/2023
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model
Hyperspectral images (HSI) have a large amount of spectral information r...
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07/07/2023
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency
Hyperspectral images (HSI) with abundant spectral information reflected ...
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07/01/2023
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising
Spectral unmixing has been extensively studied with a variety of methods...
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07/01/2023
A Direct Approach to Simultaneous Tests of Superiority and Noninferiority with Multiple Endpoints
In clinical trials it is often desirable to test for superiority and non...
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06/29/2023
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems
When adopting a model-based formulation, solving inverse problems encoun...
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06/28/2023
Online Game with Time-Varying Coupled Inequality Constraints
In this paper, online game is studied, where at each time, a group of pl...
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06/19/2023
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation
The top-down and bottom-up methods are two mainstreams of referring segm...
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06/02/2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
Learning an effective global model on private and decentralized datasets...
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05/29/2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Recent advances in robust semi-supervised learning (SSL) typically filte...
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05/26/2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Graph convolutional networks (GCNs) are discriminative models that direc...
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05/25/2023
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons
In the early days of machine learning (ML), the emphasis was on developi...
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05/20/2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
Text-video retrieval is a challenging cross-modal task, which aims to al...
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05/18/2023
Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection
Heatmap-based anatomical landmark detection is still facing two unresolv...
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05/11/2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Denoising diffusion probabilistic models (DDPMs) have shown promising pe...
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05/04/2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Training and inference with graph neural networks (GNNs) on massive grap...
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04/25/2023
Dynamic Video Frame Interpolation with integrated Difficulty Pre-Assessment
Video frame interpolation(VFI) has witnessed great progress in recent ye...
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04/21/2023
Deep Multiview Clustering by Contrasting Cluster Assignments
Multiview clustering (MVC) aims to reveal the underlying structure of mu...
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04/13/2023
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer
Precise segmentation of residual tumor in breast cancer (PSRTBC) after n...
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03/25/2023
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Contrastive learning-based video-language representation learning approa...
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03/23/2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Interactive segmentation enables users to segment as needed by providing...
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03/17/2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Existing text-video retrieval solutions are, in essence, discriminant mo...
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03/16/2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
Vertical federated learning (VFL) is a distributed learning paradigm, wh...
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03/14/2023
Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders
Unsupervised spectral unmixing consists of representing each observed pi...
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03/13/2023
Parallel Vertex Diffusion for Unified Visual Grounding
Unified visual grounding pursues a simple and generic technical route to...
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03/09/2023
Mastering Strategy Card Game (Hearthstone) with Improved Techniques
Strategy card game is a well-known genre that is demanding on the intell...
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03/07/2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Deep Reinforcement Learning combined with Fictitious Play shows impressi...
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03/02/2023
A Coarse to Fine Framework for Object Detection in High Resolution Image
Object detection is a fundamental problem in computer vision, aiming at ...
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03/01/2023
Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation
In conventional dual-function radar-communication (DFRC) systems, the ra...
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02/12/2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Gaussian processes (GPs) are an attractive class of machine learning mod...
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01/29/2023
TJ-FlyingFish: Design and Implementation of an Aerial-Aquatic Quadrotor with Tiltable Propulsion Units
Aerial-aquatic vehicles are capable to move in the two most dominant flu...
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01/04/2023
GUAP: Graph Universal Attack Through Adversarial Patching
Graph neural networks (GNNs) are a class of effective deep learning mode...
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12/10/2022
Position Embedding Needs an Independent Layer Normalization
The Position Embedding (PE) is critical for Vision Transformers (VTs) du...
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11/28/2022
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors
Deconvolution is a widely used strategy to mitigate the blurring and noi...
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11/25/2022
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
Recent research showed that the dual-pixel sensor has made great progres...
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11/22/2022
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is typically inspired by class a...
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11/21/2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Most video-and-language representation learning approaches employ contra...
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11/21/2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Existing Graph Neural Networks (GNNs) follow the message-passing mechani...
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11/11/2022
Dual Complementary Dynamic Convolution for Image Recognition
As a powerful engine, vanilla convolution has promoted huge breakthrough...
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11/08/2022
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation
Nonnegative Tucker Factorization (NTF) minimizes the euclidean distance ...
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11/07/2022
