yusuke1997/dblp-id-title huggingface dataset:
TLLFusion: An End-to-End Transformer-Based Method for Low-Light Infrared and Visible Image Fusion
Taming Diffusion for Fashion Clothing Generation with Versatile Condition
Probabilistic Visual Prompt Tuning
A Frequency and Physics-Aware Real-Time Snow Removal Network for Traffic Scene Image Enhancement
Multimodal Causal Relations Enhanced CLIP for Image-to-Text Retrieval
MCKIE: Multi-class Key Information Extraction from Complex Documents Based on Graph Convolutional Network
Spherical Transformer: Adapting Spherical Signal to Convolutional Networks
EVCPP:Example-Driven Virtual Camera Pose Prediction for Cloud Performing Arts Scenes
Learning Scene Graph for Better Cross-Domain Image Captioning
Video-Based Reconstruction of Smooth 3D Human Body Motion
Feature Refinement from Multiple Perspectives for High Performance Salient Object Detection
A Visibility-Guided Fusion Framework for Fast Nighttime Image Dehazing
RefineNet4Dehaze: Single Image Dehazing Network Based on RefineNet
Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features
HOSENet: Higher-Order Semantic Enhancement for Few-Shot Object Detection
Table Detection Using Boundary Refining via Corner Locating
Retrieval by Classification: Discriminative Binary Embedding for Sketch-Based Image Retrieval
Privacy-Preserving Action Recognition: A Survey
H-AT: Hybrid Attention Transfer for Knowledge Distillation
CEDP-YOLO: UAV Object Detection Based on Context Enhancement and Dynamic Perception
Large Kernel Convolutional Attention Based U-Net Network for Inpainting Oracle Bone Inscription
Multi-modal Feature Fusion Based on Variational Autoencoder for Visual Question Answering
VH3D-LSFM: Video-Based Human 3D Pose Estimation with Long-Term and Short-Term Pose Fusion Mechanism
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds
SEDS: Semantic Emphasis and Detail Supplementation for Accurate and Comprehensive Video Captioning
3D Multi-object Detection and Tracking with Sparse Stationary LiDAR
SLPNet: Towards End-to-End Car License Plate Detection and Recognition Using Lightweight CNN
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification
Axial Data Modeling with Collapsed Nonparametric Watson Mixture Models and Its Application to Depth Image Analysis
Semantic Object and Plane SLAM for RGB-D Cameras
Multi-3D Occlusion Mask Learning for Flexible Occlusion Removal in Neural Radiance Fields
Multi-Cue and Temporal Attention for Person Recognition in Videos
From Point to Surface: Realistic and Perceptually-Plausible Hazy Image Generation with Glow-Diffusion
Enhancing Open-Set Object Detection via Uncertainty-Boxes Identification
Low-Light Light-Field Image Enhancement With Geometry Consistency
Deliberate Multi-Attention Network for Image Captioning
Learning Key Actors and Their Interactions for Group Activity Recognition
ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow
VIFuser: High-Order Degradation Aware Model for Visible and Infrared Image Fusion
Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting
Object Detection Based on Embedding Internal and External Knowledge
GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels
Illumination-Aware Image Quality Assessment for Enhanced Low-Light Image
Long Short-Term Perception Network for Dynamic Facial Expression Recognition
A GAN-Based Image Generation Method for X-Ray Security Prohibited Items
A Dual-Path Approach for Gaze Following in Fisheye Meeting Scenes
3D Tooth Segmentation Network Based on Geometric Boundary Enhancement and Curvature Guidance
Automatic Measurement of Cup-to-Disc Ratio for Retinal Images
Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning
Perceptual Image Compression with Text-Guided Multi-level Fusion
Lightweight Defog Detection for Autonomous Vehicles: Balancing Clarity, Efficiency, and Accuracy
CABF-Net: A Dual-Branch Network for Detection and Localization of Diffusion Model-Based Image Tampering
Advancing Surveillance Video Clarity and Transmission: A Real-Time Video Super-Resolution Model with Background Information Awareness
PAT-Unet: Paired Attention Transformer for Efficient and Accurate Segmentation of 3D Medical Images
Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification
Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition
Face Recognition Based on Multi-view - Ensemble Learning
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors
Connectivity Relationship Recognition in Piping and Instrumentation Diagrams Using Graph Neural Networks
EEP-Net: Enhancing Local Neighborhood Features and Efficient Semantic Segmentation of Scale Point Clouds
An Entropy-Based Pseudo-Label Mixup Method for Source-Free Domain Adaptation
Multiscale Entropy Analysis of EEG Based on Non-uniform Time
AD 2 : Anomaly Detection During Training an Distillation-Based Anomaly Detection Model
Language-Skeleton Pre-training to Collaborate with Self-Supervised Human Action Recognition
Joint Multi-cue Learning for Emotion Recognition in Human-Computer Interaction
VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation
Self-supervised Co-salient Object Detection via Unified Multi-granularity Feature Learning
CRAMA: Cross-Attention Mamba for Trajectory Prediction in Autonomous Driving
Capturing Cross-Modal Semantics by Generating Comments for Image-Text Contents
Greedy Fusion Oriented Representations for Multimodal Sentiment Analysis
Enhancing Lidar and Radar Fusion for Vehicle Detection in Adverse Weather via Cross-Modality Semantic Consistency
Camouflage Object Segmentation with Multi-scale Feature Aggregation and Boundary Generation
Feature Matching Network for Weakly-Supervised Temporal Action Localization
VL-MPFT: Multitask Parameter-Efficient Fine-Tuning for Visual-Language Pre-trained Models via Task-Adaptive Masking
FusionNet for Interactive Image Segmentation
Multi-feature Fusion Network for Single Image Dehazing
Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition
PanoExplorer: From Single Panorama to Immersive Walkthrough via Structure-Aware Completion and Refinement
Foreground Feature Selection and Alignment for Adaptive Object Detection
Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution
Image Saliency Detection with Low-Level Features Enhancement
Unsupervised Image-to-Image Translation with Style Consistency
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data
Center-Level Verification Model for Person Re-identification
A Pixel-Level Segmentation Method for Water Surface Reflection Detection
CFMISA: Cross-Modal Fusion of Modal Invariant and Specific Representations for Multimodal Sentiment Analysis
A Hybrid Pan-Sharpening Approach Using Nonnegative Matrix Factorization for WorldView Imageries
Learning to Cluster Faces with Mixed Face Quality
Evolutionary Approach for Infinite Time Domain Optimal Control Problems Under Multiple Constraints and Uncertainty
Knowledge Transfer via Leveraging Teacher-Student Network with Visual Attention to Enhance Atmospheric Sand Image Restoration
WSCF-MVCC: Weakly-Supervised Calibration-Free Multi-view Crowd Counting
DA-CCQ: Visually Explainable Image Forgery Localization via Difference Amplification and Cross-Clue Querying
KDFAS: Multi-stage Knowledge Distillation Vision Transformer for Face Anti-spoofing
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Temporal Invariant Factor Disentangled Model for Representation Learning
Local Point Matching for Collaborative Image Registration and RGBT Anti-UAV Tracking
MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting
Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion
DMDet: Dynamic Multi-modal Object Detection Network for UAV Aerial Imagery
A Multi-level Equilibrium Clustering Approach for Unsupervised Person Re-identification
Small Target Detector Based on Adaptive Re-parameterized Spatial Feature Fusion Mechanism
A Multimodal Fake News Detection Model Leveraging Image Frequency and Spatial Domain Analysis with Deep Dynamic Trade-Off Fusion
Enhancing Active Visual Tracking Under Distractor Environments
Image Magnification Network for Vessel Segmentation in OCTA Images
Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels
Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation
Multi-scale Progressive Low-Light Image Enhancement Networks
Mitigating Hallucination in Visual-Language Models via Re-balancing Contrastive Decoding
Foundational and Specialized Continual Learning for Unsupervised Video Object Segmentation via Lie Group Structural Adapter
IMO-Net: Integrated Memory Optimization Network for Video Instance Lane Detection
I3En: A Multi-Level Iterative Low-Light Enhancement Network Based on Sketch Prior Guidance
Out-of-Distribution with Text-to-Image Diffusion Models
Learning Efficient Representations for Image-Based Patent Retrieval
Boundary-Aware Polyp Segmentation Network
MSED: A Robust Ellipse Detector with Multi-scale Merging and Validation
Boundary-Aware Dual Attention Network for Camouflaged Object Detection
Multi-attention Guided Activation Propagation in CNNs
Bi-stream Multiscale Hamhead Networks with Contrastive Learning for Image Forgery Localization
Clinical Pathway Optimal Scheduling Based on Hybrid Intelligent Optimization Algorithm
QEA-Net: Quantum-Effects-based Attention Networks
State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology
BiReNet: Bilateral Network with Feature Aggregation and Edge Detection for Remote Sensing Images Road Extraction
A Single-Stage 3D Object Detection Method Based on Sparse Attention Mechanism
Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID
MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination
Confidence-Weighted Teacher: Semi-Supervised Object Detection Based on Confidence Correction
Lung Parenchymal Segmentation Algorithm Based on Improved Marker Watershed for Lung CT Images
Group Re-Identification Based on Single Feature Attention Learning Network (SFALN)
NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning
Person Re-identification with Neural Architecture Search
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks
GDMETracker: Multi-Object Tracking Through Grouped Diffusion-Based Nonlinear Motion Prediction
Unsupervised Underwater Image Enhancement Combining Imaging Restoration and Prompt Learning
DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for Cross-domain 3D Neonatal Brain MRI Segmentation
A Two-Stream Hybrid CNN-Transformer Network for Skeleton-Based Human Interaction Recognition
Conditioners for Adaptive Regression Tracking
Adaptive Partial Momentum Hamiltonian Monte Carlo
Spatio-Temporal Contrastive Learning for Compositional Action Recognition
STVMamba: A Spatio-Temporal-Variable Modeling Network with Selective State Space Mechanism for Long-Horizon Traffic Forecasting
ADAL-GCN: Action Description Aided Learning Graph Convolution Network for Early Action Prediction
FreCap: Retrieval-Augmented Image Captioning with Frequency-Driven Sentence Breakdown
Synthesizing Large-Scale Datasets for License Plate Detection and Recognition in the Wild
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II
Incremental Feature Forest for Real-Time SLAM on Mobile Devices
Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression
LSFNet: A Lightweight Spatial-Frequency Integrated Framework for Efficient Motion Deblurring
Encoder Activation Diffusion and Decoder Transformer Fusion Network for Medical Image Segmentation
SemanticCrop: Boosting Contrastive Learning via Semantic-Cropped Views
Automatic Robotic High-Precision 3D Modeling System Based on Active Speckle-Assisted Multi-view Registration and Global Optimization
Semantic-Guided Completion Network for Video Inpainting in Complex Urban Scene
Inter-image Discrepancy Knowledge Distillation for Semantic Segmentation
AO-AutoTrack: Anti-occlusion Real-Time UAV Tracking Based on Spatio-temporal Context
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring
Learning Attention Regularization Correlation Filter for Visual Tracking
CPNet: Cross Prototype Network for Few-Shot Medical Image Segmentation
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations
A Pose-Aware Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from Partial Point Clouds
Function-Guided Energy-Precision Optimization with Precision-Rate-Complexity Bivariate Models
JLInst: Boundary-Mask Joint Learning for Instance Segmentation
Violence Detection Based on Spatio-Temporal Feature and Fisher Vector
Geometry-Aware Diffusion for Controllable Multi-view Aerial Generation
Retinex Based Flicker-Free Low-Light Video Enhancement
Intermediate Category-Driven Balancing Adjustment Method for Long-Tail Classification
Shallow Feature Enhancement in JamMa
Unifying Vision and Language in SAM for Robust Curvilinear Structure Segmentation
CoMoFusion: Fast and High-Quality Fusion of Infrared and Visible Image with Consistency Model
MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models
Diffusion-Based Cross-Modal Fusion Model for Pedestrian Trajectory Prediction
Improving Zero-Shot Image Captioning Efficiency with Metropolis-Hastings
Blendshape-Based Migratable Speech-Driven 3D Facial Animation with Overlapping Chunking-Transformer
Blind Deblurring Using Discriminative Image Smoothing
Weakly Supervised Video Anomaly Detection with Temporal and Abnormal Information
An End-to-End Mutual Enhancement Network Toward Image Compression and Semantic Segmentation
Fusing Rigid Skeletal Nodes to Graph Convolutional Networks for Fuzzy Action Recognition
MonoBite: Scale-Aware 3D Reconstruction and Volume Estimation from Monocular Multi-food Images
Robust Face Detector with Fully Convolutional Networks
Power Line Corridor LiDAR Point Cloud Segmentation Using Convolutional Neural Network
FairMoE: Decoupled Expert Learning for Unbiased Customized Face Generation
Relation-Based Knowledge Distillation for Anomaly Detection
Multi-scale Densely 3D CNN for Hyperspectral Image Classification
FedCD: A Hybrid Federated Learning Framework for Adaptive Training Under Data Heterogeneity
CE 2 : A Copula Entropic Mutual Information Estimator for Enhancing Adversarial Robustness
Crime Scene Sketches Classification Based on CNN
Underwater Enhancement Model via Reverse Dark Channel Prior
An Infrared Moving Small Object Detection Method Based on Trajectory Growth
Infrared Small Target Detection Based on Prior Constraint Network and Efficient Patch-Tensor Model
HiFeFace: Dual-Branch Facial Expression Recognition with Learnable Contour Fusion
Federated Twin Support Vector Machine
Multi-level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area
Skin Lesion Segmentation Method Based on Global Pixel Weighted Focal Loss
Incorporating Spiking Neural Network for Dynamic Vision Emotion Analysis
ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
Simple Fault Localization Using Execution Traces
Quick Repair of Semantic Errors for Debugging
What Can Program Repair Learn From Code Review?
Program Repair Competition 2024
Challenging the Stigma of Formal Program Repair
IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2024, Lisbon, Portugal, April 20, 2024
Revisiting Object Similarity-based Patch Ranking in Automated Program Repair: An Extensive Study
BUGFIX: Towards a Common Language and Framework for the Automatic Program Repair Community
3rd IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2022, Pittsburgh, PA, USA, May 19, 2022
2nd IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2021, Madrid, Spain, June 1, 2021
Figra: Evaluating a larger search space for Cardumen in Automatic Program Repair
Can OpenAI's Codex Fix Bugs?: An evaluation on QuixBugs
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
Language Models Can Prioritize Patches for Practical Program Patching
Memorization in LLM-Based Program Repair
Automated Code Repair to Ensure Spatial Memory Safety
An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair
FixEval: Execution-based Evaluation of Program Fixes for Programming Problems
Studying and Understanding the Effectiveness and Failures of Conversational LLM-Based Repair
Automated Program Repair for Introductory Programming Assignments via Bidirectional Refactoring
IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2025, Ottawa, ON, Canada, April 29, 2025
Bogus Bugs, Duplicates, and Revealing Comments: Data Quality Issues in NPR
RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated Programs
IEEE/ACM International Workshop on Automated Program Repair, APR@ICSE 2023, Melbourne, Australia, May 16, 2023
Which Inputs Trigger My Patch?
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
Some Automatically Generated Patches are More Likely to be Correct than Others: An Analysis of Defects4J Patch Features
SCHOLIA- An XAI Framework for APR
Refining Fitness Functions for Search-Based Program Repair
Large Language Models in Automated Repair of Haskell Type Errors
ARJA-e for the First International Competition on Automated Program Repair
An Analysis of the Automatic Bug Fixing Performance of ChatGPT
International Workshop on Automated Program Repair APR 2023: Message from the APR 2023 Chairs
Framing Program Repair as Code Completion
Towards the Self-Healing of Infrastructure as Code Projects Using Constrained LLM Technologies
F1X at APR-COMP 2024
Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2)
Please hold on: more time = more patches? Automated program repair as anytime algorithms
Exploring Plausible Patches Using Source Code Embeddings in JavaScript
Beyond Code Generation: The Need for Type-Aware Language Models
Towards Developing Effective Fault Localization Techniques for Termination Bugs in Loop Programs
Program Repair Competition
Scaling Genetic Improvement and Automated Program Repair
Domain invariant-based spreadsheet debugging
Be Realistic: Automated Program Repair is a Combination of Undecidable Problems
Towards Unveiling Vulnerability Remediation Tactics from OSS Community
Automated Program Repair with the GPT Family, Including GPT-2, GPT-3 and CodeX
BOSS: A Dataset to Train ML-Based Systems to Repair Programs with Out-of-Bounds Write Flaws
Mining Fix Patterns with Context Information for Automatic Program Repair
The ET Program Repair Tool for Java
Enhancing Spectrum Based Fault localization Via Emphasizing Its Formulas With Importance Weight
Tackling Software Architecture Erosion: Joint Architecture and Implementation Repairing by a Knowledge-based Approach
Extractive Summarization of Related Bug-fixing Comments in Support of Bug Repair
FusionRepair: Iterative Multi-Line APR via Fusion
Agents for Games and Simulations II - Trends in Techniques, Concepts and Design [AGS 2010, The Second International Workshop on Agents for Games and Simulations, May 10, 2010, Toronto, Canada]
Architecture for Affective Social Games
Using Agent Technology to Build a Real-World Training Application
Design of a Decision Maker Agent for a Distributed Role Playing Game - Experience of the SimParc Project
On Evaluating Agents for Serious Games
Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach
Two Case Studies for Jazzyk BSM
Intelligent Agent Modeling as Serious Game
NonKin Village: An Embeddable Training Game Generator for Learning Cultural Terrain and Sustainable Counter-Insurgent Operations
Implicitly and Intelligently Influencing the Interactive Experience
A Periphery of Pogamut: From Bots to Agents and Back Again
Adaptive Serious Games Using Agent Organizations
Making Games ALIVE: An Organisational Approach
Guiding User Adaptation in Serious Games
Towards an Architecture for Collaborative Human/AI Control of Interactive Characters
Enhancing Embodied Conversational Agents with Social and Emotional Capabilities
An Architecture for Directing Value-Driven Artificial Characters
Semi-Automated Dialogue Act Classification for Situated Social Agents in Games
Agent-Based Aircraft Control Strategies in a Simulated Environment
Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems
Agents for Games and Simulations, Trends in Techniques, Concepts and Design [AGS 2009, The First International Workshop on Agents for Games and Simulations, May 11, 2009, Budapest, Hungary]
The MMOG Layer: MMOG Based on MAS
Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents
Goal-Based Communication Using BDI Agents as Virtual Humans in Training: An Ontology Driven Dialogue System
A PDDL-Based Planning Architecture to Support Arcade Game Playing
Intelligent NPCs for Educational Role Play Game
Building Quests for Online Games with Virtual Institutions
A Teamwork Infrastructure for Computer Games with Real-Time Requirements
Distributed Platform for Large-Scale Agent-Based Simulations
Using Exclusion Logic to Model Social Practices
UnrealGoal Bots - Conceptual Design of a Reusable Interface
Robust interactive segmentation via coloring
Multiscale annotation of still images with GAT
A multi-view annotation tool for people detection evaluation
Synthetic ground truth dataset to detect shadows cast by static objects in outdoors
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications, VIGTA@ICVS 2013, St. Petersburg, Russia, July 15, 2013
Automatic selection of regions of interest in a video by a depth-color image matting
"Tell me more": how semantic technologies can help refining internet image search
Approximate nearest neighbor search to support manual image annotation of large domain-specific datasets
A crowdsourcing approach to support video annotation
An annotation tool for dermoscopic image segmentation
Ground truth design principles: an overview
Manual labeling strategy for ground truth estimation in MRI glial tumor segmentation
An interactive tool for extremely dense landmarking of faces
Efficient annotation of image data sets for computer vision applications
CoVidA: pen-based collaborative video annotation
Evaluation of manually created ground truth for multi-view people localization
A multi-tool for ground-truth stereo correspondence, object outlining and points-of-interest selection
Human nonverbal behavior multi-sourced ontological annotation
Comparative study of segmentation methods for tree leaves extraction
Efficient annotation of traffic video data
Combinatorial enlargement of ground-truth datasets and efficient evaluation of segmentation algorithms
Semi-supervised evaluation of face recognition in videos
A semi-automatic tool for detection and tracking ground truth generation in videos
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications, VIGTA@AVI 2012, Capri, Italy, May 21, 2012
Reliable Artificial Intelligence Approach for Sustainable Flood Susceptibility Forecasting
A Hybrid Deep Learning Approach for Breast Cancer Classification Based on Histology Images
Theory and Application of Post Evaluation in Power Grid Construction Projects
Winding Deformation Detection of Transformer Based on Sweep Frequency Impedance