research
∙
09/19/2023
Efficient Multi-Channel Speech Enhancement with Spherical Harmonics Injection for Directional Encoding
Multi-channel speech enhancement extracts speech using multiple micropho...
share
research
∙
09/19/2023
Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement
Multi-channel speech enhancement utilizes spatial information from multi...
research
∙
09/19/2023
PDPCRN: Parallel Dual-Path CRN with Bi-directional Inter-Branch Interactions for Multi-Channel Speech Enhancement
Multi-channel speech enhancement seeks to utilize spatial information to...
research
∙
09/07/2023
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
We present ArtiGrasp, a novel method to synthesize bi-manual hand-object...
research
∙
09/06/2023
Fast time-stepping discontinuous Galerkin method for the subdiffusion equation
The nonlocality of the fractional operator causes numerical difficulties...
research
∙
09/02/2023
S^3-MonoDETR: Supervised Shape Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
Recently, transformer-based methods have shown exceptional performance i...
research
∙
08/08/2023
Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
In the modern financial industry system, the structure of products has b...
research
∙
07/13/2023
Rician likelihood loss for quantitative MRI using self-supervised deep learning
Purpose: Previous quantitative MR imaging studies using self-supervised ...
research
∙
07/11/2023
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis
Multi-center positron emission tomography (PET) image synthesis aims at ...
research
∙
07/04/2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
Recent works have proposed to craft adversarial clothes for evading pers...
research
∙
07/03/2023
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation...
research
∙
07/03/2023
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds
Collaborative 3D object detection, with its improved interaction advanta...
research
∙
06/23/2023
Augmenting Sports Videos with VisCommentator
Visualizing data in sports videos is gaining traction in sports analytic...
research
∙
06/13/2023
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
The utilization of discrete speech tokens, divided into semantic tokens ...
research
∙
06/12/2023
A Weighted Randomized Sparse Kaczmarz Method for Solving Linear Systems
The randomized sparse Kaczmarz method, designed for seeking the sparse s...
research
∙
06/02/2023
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
Domain adaptive semantic segmentation enables robust pixel-wise understa...
research
∙
05/19/2023
When SAM Meets Shadow Detection
As a promptable generic object segmentation model, segment anything mode...
research
∙
03/24/2023
Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks
Gene regulatory relationships can be abstracted as a gene regulatory net...
research
∙
03/21/2023
Focused and Collaborative Feedback Integration for Interactive Image Segmentation
Interactive image segmentation aims at obtaining a segmentation mask for...
research
∙
03/15/2023
DiffusionAD: Denoising Diffusion for Anomaly Detection
Anomaly detection is widely applied due to its remarkable effectiveness ...
research
∙
03/14/2023
One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs
Shared-nothing architecture has been widely adopted in various commercia...
research
∙
03/09/2023
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design
Quantitative MRI (qMRI) aims to map tissue properties non-invasively via...
research
∙
01/16/2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Collaborative perception is essential to address occlusion and sensor fa...
research
∙
12/11/2022
Personalized local heating neutralizing individual, spatial and temporal thermo-physiological variances in extreme cold environments
In this paper, we investigate the feasibility, robustness and optimizati...
research
∙
12/05/2022
Prototypical Residual Networks for Anomaly Detection and Localization
Anomaly detection and localization are widely used in industrial manufac...
research
∙
11/26/2022
Fast method and convergence analysis of fractional magnetohydrodynamic coupled flow and heat transfer model for generalized second-grade fluid
In this paper, we first establish a new fractional magnetohydrodynamic (...
research
∙
09/27/2022
Searching a High-Performance Feature Extractor for Text Recognition Network
Feature extractor plays a critical role in text recognition (TR), but cu...
research
∙
09/12/2022
CSL: A Large-scale Chinese Scientific Literature Dataset
Scientific literature serves as a high-quality corpus, supporting a lot ...
research
∙
08/31/2022
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing
Recently, many new challenges in Compressed Sensing (CS), such as block ...
research
∙
07/20/2022
Schwarz methods by domain truncation
Schwarz methods use a decomposition of the computational domain into sub...
research
∙
07/05/2022
Confluent Vandermonde with Arnoldi
In this note, we extend the Vandermonde with Arnoldi method recently adv...
research
∙
07/01/2022
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
This paper demonstrates spherical convolutional neural networks (S-CNN) ...
research
∙
06/19/2022
0/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation fun...
research
∙
06/19/2022
A Unified Understanding of Deep NLP Models for Text Classification
The rapid development of deep natural language processing (NLP) models f...
research
∙
06/19/2022
Enforcing Continuous Physical Symmetries in Deep Learning Network for Solving Partial Differential Equations
As a typical application of deep learning, physics-informed neural netwo...
research
∙
06/07/2022
Neural Network Decoders for Permutation Codes Correcting Different Errors
Permutation codes were extensively studied in order to correct different...
research
∙
05/20/2022
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at fac...
research
∙
05/18/2022
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis
Potential radioactive hazards in full-dose positron emission tomography ...
research
∙
05/11/2022
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
Deep learning (DL) is gaining popularity as a parameter estimation metho...
research
∙
04/17/2022
On an interior-exterior nonoverlapping domain decomposition method for the Poisson–Boltzmann equation
A nonoverlapping domain decomposition method is studied for the lineariz...
research
∙
03/31/2022
Coverage hole detection in WSN with force-directed algorithm and transfer learning
Coverage hole detection is an important research problem in wireless sen...
research
∙
03/27/2022
Thin-Plate Spline Motion Model for Image Animation
Image animation brings life to the static object in the source image acc...
research
∙
03/03/2022
A photonic chip-based machine learning approach for the prediction of molecular properties
Machine learning methods have revolutionized the discovery process of ne...
research
∙
12/29/2021
Adaptively Sketched Bregman Projection Methods for Linear Systems
The sketch-and-project, as a general archetypal algorithm for solving li...
research
∙
12/19/2021
D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
News recommendation is an effective information dissemination solution i...
research
∙
12/16/2021
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...
research
∙
11/22/2021
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Action quality assessment (AQA) from videos is a challenging vision task...
research
∙
09/10/2021
Constructions of Binary Cross Z-Complementary Pairs With Large CZC Ratio
Cross Z-complementary pairs (CZCPs) are a special kind of Z-complementar...
research
∙
07/24/2021
New constructions of q-Ary 2-D Z-Complementary Array Pairs
This paper is devoted to sequences and focuses on designing new two-dime...
research
∙
04/10/2021