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09/12/2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis
Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful a...
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09/04/2023
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data
Overloaded vehicles bring great harm to transportation infrastructures. ...
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08/27/2023
AIGC for Various Data Modalities: A Survey
AI-generated content (AIGC) methods aim to produce text, images, videos,...
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08/26/2023
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Unsupervised Domain Adaptation (UDA) is quite challenging due to the lar...
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08/25/2023
Distribution-Aligned Diffusion for Human Mesh Recovery
Recovering a 3D human mesh from a single RGB image is a challenging task...
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08/25/2023
DISGO: Automatic End-to-End Evaluation for Scene Text OCR
This paper discusses the challenges of optical character recognition (OC...
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08/23/2023
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
Translating images from a source domain to a target domain for learning ...
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08/10/2023
Learning Gabor Texture Features for Fine-Grained Recognition
Extracting and using class-discriminative features is critical for fine-...
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07/24/2023
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration
Inspired by the fact that the matrix formulated by nonlocal similar patc...
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07/21/2023
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Visual question answering requires a system to provide an accurate natur...
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07/14/2023
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
One-shot skeleton action recognition, which aims to learn a skeleton act...
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07/05/2023
Euler-Bernoulli beams with contact forces: existence, uniqueness, and numerical solutions
In this paper, we investigate the Euler-Bernoulli fourth-order boundary ...
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06/25/2023
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
The main objective of image segmentation is to divide an image into homo...
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06/16/2023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views
Large Language Models (LLMs) have achieved great success in various natu...
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05/18/2023
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
This paper proposes an actor-critic algorithm for controlling the temper...
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05/06/2023
Adaptive loose optimization for robust question answering
Question answering methods are well-known for leveraging data bias, such...
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04/20/2023
Clustered-patch Element Connection for Few-shot Learning
Weak feature representation problem has influenced the performance of fe...
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04/18/2023
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization
3D Skeleton-based human action recognition has attracted increasing atte...
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04/14/2023
Detector Design and Performance Analysis for Target Detection in Subspace Interference
It is often difficult to obtain sufficient training data for adaptive si...
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04/11/2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation (CSS) extends static semantic segmentati...
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04/10/2023
Meta Compositional Referring Expression Segmentation
Referring expression segmentation aims to segment an object described by...
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04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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04/01/2023
Progressive Channel-Shrinking Network
Currently, salience-based channel pruning makes continuous breakthroughs...
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04/01/2023
GradMDM: Adversarial Attack on Dynamic Networks
Dynamic neural networks can greatly reduce computation redundancy withou...
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03/28/2023
System-status-aware Adaptive Network for Online Streaming Video Understanding
Recent years have witnessed great progress in deep neural networks for r...
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03/14/2023
Precise Facial Landmark Detection by Reference Heatmap Transformer
Most facial landmark detection methods predict landmarks by mapping the ...
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03/07/2023
A nearly optimal explicitly-sparse representation for oscillatory kernels with curvelet-like functions
A nearly optimal explicitly-sparse representation for oscillatory kernel...
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02/01/2023
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
This paper introduces the Hamilton-Jacobi-Bellman Proximal Policy Optimi...
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01/16/2023
Modeling Uncertain Feature Representation for Domain Generalization
Though deep neural networks have achieved impressive success on various ...
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01/08/2023
STPrivacy: Spatio-Temporal Tubelet Sparsification and Anonymization for Privacy-preserving Action Recognition
Recently privacy-preserving action recognition (PPAR) has been becoming ...
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01/08/2023
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text
Logical reasoning task involves diverse types of complex reasoning over ...
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12/29/2022
GPTR: Gestalt-Perception Transformer for Diagram Object Detection
Diagram object detection is the key basis of practical applications such...
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12/12/2022
HDNet: A Hierarchically Decoupled Network for Crowd Counting
Recently, density map regression-based methods have dominated in crowd c...
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11/30/2022
DiffPose: Toward More Reliable 3D Pose Estimation
Monocular 3D human pose estimation is quite challenging due to the inher...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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11/02/2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Few-Shot Learning (FSL) alleviates the data shortage challenge via embed...
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10/09/2022
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge
Non-blind deblurring methods achieve decent performance under the accura...
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10/03/2022
Heatmap Distribution Matching for Human Pose Estimation
For tackling the task of 2D human pose estimation, the great majority of...
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09/30/2022
Downlink Compression Improves TopK Sparsification
Training large neural networks is time consuming. To speed up the proces...
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09/08/2022
nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection
Continual Learning (CL) focuses on developing algorithms with the abilit...
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09/03/2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
The goal of fine-grained action recognition is to successfully discrimin...
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07/26/2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Incremental few-shot semantic segmentation (IFSS) targets at incremental...
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07/25/2022
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
Human interaction recognition is very important in many applications. On...
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07/20/2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
Early action prediction aims to successfully predict the class label of ...
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06/23/2022
A Fast Algorithm for Robust Action Selection in Multi-Agent Systems
In this paper, we consider a robust action selection problem in multi-ag...
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06/21/2022
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
The morphological changes in knee cartilage (especially femoral and tibi...
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06/11/2022
Optimized sparse approximate inverse smoothers for solving Laplacian linear systems
In this paper we propose and analyze new efficient sparse approximate in...
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06/04/2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
Learning for control of dynamical systems with formal guarantees remains...
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05/20/2022