yusuke1997/dblp-id-title huggingface dataset:
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation
Parameterized Point Pattern Matching and Its Application to Recognition of Object Families
Robust Radiometric Calibration and Vignetting Correction
Anchors Crash Tensor: Efficient and Scalable Tensorial Multi-View Subspace Clustering
Self-Supervised 3D Action Representation Learning With Skeleton Cloud Colorization
A Parametrical Model for Instance-Dependent Label Noise
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
Universal and Adapted Vocabularies for Generic Visual Categorization
End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior
Illumination from Shadows
Automatic Correction of Ma and Sonka's Thinning Algorithm Using P-Simple Points
Structural and Probabilistic Knowledge for Abductive Reasoning
Image Restoration via Frequency Selection
Tag Completion for Image Retrieval
From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis
Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
Optimal Correspondence of String Subsequences
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
Unsupervised Organization of Image Collections: Taxonomies and Beyond
Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
Elastic Functional Coding of Riemannian Trajectories
Synthesis of Multi-View 3D Fingerprints to Advance Contactless Fingerprint Identification
Properties of Standard and Sketched Kernel Fisher Discriminant
Fine-Grained Visual Text Prompting
Deduction Plans: A Basis for Intelligent Backtracking
Accurate Recovery of Three-Dimensional Shape from Image Focus
Learning on Attribute-Missing Graphs
Unsupervised Pre-Training With Language-Vision Prompts for Low-Data Instance Segmentation
Kruppa's Equations Derived from the Fundamental Matrix
The Bayesian Cut
Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations
Dot Pattern Processing Using Voronoi Neighborhoods
Rule-Based Learning for More Accurate ECG Analysis
Context-Based Meta-Reinforcement Learning With Bayesian Nonparametric Models
Understanding Whitening Loss in Self-Supervised Learning
Co-Labeling for Multi-View Weakly Labeled Learning
Term Weighting Schemes for Question Categorization
Segmentation of Random Fields Via Borrowed Strength Density Estimation
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching
Purely Attention Based Local Feature Integration for Video Classification
Learning With Multiclass AUC: Theory and Algorithms
Inverse Perspective Transform Using Zero-Curvature Contour Points: Application to the Localization of Some Generalized Cylinders from a Single View
Error Guided Design of a 3D Vision System
Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment
TextFinder: An Automatic System to Detect and Recognize Text In Images
Sparse Bayesian Learning for Efficient Visual Tracking
SMART: Syntax-Calibrated Multi-Aspect Relation Transformer for Change Captioning
Detection of 3-D Simple Points for Topology Preserving Transformations with Application to Thinning
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold
Robust Tracking of Position and Velocity With Kalman Snakes
Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners
Places: A 10 Million Image Database for Scene Recognition
Online Kernel Principal Component Analysis: A Reduced-Order Model
The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition
CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields
The Invariant Representations of a Quadric Cone and a Twisted Cubic
Depth Map Calculation for a Variable Number of Moving Objects using Markov Sequential Object Processes
A Review of State-of-the-art Mixed-Precision Neural Network Frameworks
Using Line Segments as Structuring Elements for Sampling-Invariant Measurements
Towards a General Multi-View Registration Technique
A Framework for Analysis of Computational Imaging Systems: Role of Signal Prior, Sensor Noise and Multiplexing
Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes
Hand-Object Contact Force Estimation from Markerless Visual Tracking
Efficient Nearest Neighbor Search Using Dynamic Programming
Flexible Clustered Multi-Task Learning by Learning Representative Tasks
Hierarchical Classifier Design Using Mutual Information
Benchmarking a Reduced Multivariate Polynomial Pattern Classifier
Comments, with Reply, on 'Fast Convolution with Laplacian-of-Gaussian Masks' by J. S. Chen et al
A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
Computing Smooth Time Trajectories for Camera and Deformable Shape in Structure from Motion with Occlusion
Motion Regularization for Matting Motion Blurred Objects
Zero-Shot Hyperspectral Sharpening
An Evaluation Based Theorem Prover
CoVR-2: Automatic Data Construction for Composed Video Retrieval
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis
Adversarial Attack and Defense in Deep Ranking
Motion and Structure from Line Correspondences; Closed-Form Solution, Uniqueness, and Optimization
Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images
Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding
Probabilistic Tracking of Affine-Invariant Anisotropic Regions
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models
Conditional Diffusion Models for Camouflaged and Salient Object Detection
Tracking and Reconstruction in a Combined Optimization Approach
An Efficient Solution to Non-Minimal Case Essential Matrix Estimation
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning
ICP Registration Using Invariant Features
Saliency-Free and Aesthetic-Aware Panoramic Video Navigation
Vicinity Vision Transformer
Correction to "Recognition of Noisy Subsequences Using Constrained Edit Distances"
Stereo Matching as a Nearest-Neighbor Problem
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection
Adversarial Action Prediction Networks
Quantity-Quality Enhanced Self-Training Network for Weakly Supervised Point Cloud Semantic Segmentation
Reinterpreting the Application of Gabor Filters as a Manipulation of the Margin in Linear Support Vector Machines
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer
Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions
Three-View Multibody Structure from Motion
Spatial Frequency Modulation for Semantic Segmentation
Algebraic Functions For Recognition
Tracking by an Optimal Sequence of Linear Predictors
Meta-Parameter Free Unsupervised Sparse Feature Learning
VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization
HC$^{2}$2L: Hybrid and Cooperative Contrastive Learning for Cross-Lingual Spoken Language Understanding
On Distinctive Image Captioning via Comparing and Reweighting
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
A Bag-of-Features Framework to Classify Time Series
Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning
INFORMys: A Flexible Invoice-Like Form-Reader System
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
Hierarchical Decomposition and Axial Shape Description
Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
Local Invariants For Recognition
3-D Pose from 3 Points Using Weak-Perspective
Achieving Generalized Object Recognition through Reasoning about Association of Function to Structure
Real-Time Bidirectional Search: Coordinated Problem Solving in Uncertain Situations
Temporal Pixel-Level Semantic Understanding Through the VSPW Dataset
Generative Supervised Classification Using Dirichlet Process Priors
Reading 1D Barcodes with Mobile Phones Using Deformable Templates
A Theory of Photometric Stereo for a Class of Diffuse Non-Lambertian Surfaces
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation
From Images to 3D Shape Attributes
Measuring Human Perception to Improve Open Set Recognition
Ordinal Measures for Iris Recognition
Binary Graph Convolutional Network With Capacity Exploration
An Algorithm for Data-Driven Bandwidth Selection
Candid Covariance-Free Incremental Principal Component Analysis
Zero-Shot Deep Domain Adaptation With Common Representation Learning
A Minimal Solution to Radial Distortion Autocalibration
Weakly-Supervised Learning of Category-Specific 3D Object Shapes
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
Camera Calibration by Vanishing Lines for 3-D Computer Vision
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective
Generative Graph Prototypes from Information Theory
Automated X-Ray Inspection of Aluminum Castings
Implicit Meshes for Surface Reconstruction
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis
Performance Evaluations of Correlations of Digital Images Using Different Separability Measures
Motion and Structure From Two Perspective Views: Algorithms, Error Analysis, and Error Estimation
VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced With Clinical Knowledge
Learning Part-based Convolutional Features for Person Re-Identification
Structuring Free Space as a Hypergraph for Roving Robot Path Planning and Navigation
Coarse-to-fine Disentangling Demoiréing Framework for Recaptured Screen Images
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos
STADe: Sensory Temporal Action Detection via Temporal-Spectral Representation Learning
Interpreting Deep Visual Representations via Network Dissection
Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Comprehensive Use of Curvature for Robust and Accurate Online Surface Reconstruction
Adaptively Merging Large-Scale Range Data with Reflectance Properties
Three-Dimensional Surface Relief Completion Via Nonparametric Techniques
Multiple Light Source Detection
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Font Adaptive Word Indexing of Modern Printed Documents
A Simple Strategy for Calibrating the Geometry of Light Sources
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning
Spectral Grouping Using the Nyström Method
3-D Shape Recovery Using Distributed Aspect Matching
Linear Programming Fitting of Implicit Polynomials
The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective
Remote Sensing Image Generation via Object Text Decoupling
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark
The Inverted Multi-Index
Applications of Tensor Theory to Object Recognition and Orientation Determination
Learning the Information Divergence
Learning Local Metrics and Influential Regions for Classification
A Comprehensive Survey on Source-Free Domain Adaptation
Constrained Restoration and the Recovery of Discontinuities
The Constraints on Images of Rectangular Polyhedra
Simultaneous Estimation of Super-Resolved Scene and Depth Map from Low Resolution Defocused Observations
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Simultaneous Fidelity and Regularization Learning for Image Restoration
Image Representation Via a Finite Radon Transform
A Pyramidal Representation of Images and Its Feature Extraction Facility
Geometric Change Detection in Urban Environments Using Images
Fast Algorithms for Low-Level Vision
Uncertainty Inspired RGB-D Saliency Detection
Guest Editorial: Special Section on CVPR 2013
Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis
High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography
SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection
Hybrid Gaussian Deformation for Efficient Remote Sensing Object Detection
A Comprehensive Database for Benchmarking Imaging Systems
A Cost Minimization Approach to Edge Detection Using Simulated Annealing
A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform
Evidential Reasoning for Object Recognition
SymPS: BRDF Symmetry Guided Photometric Stereo for Shape and Light Source Estimation
MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network
Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks
In Memoriam, Azriel Rosenfeld(1931-2004)
Differential Geometric Inference in Surface Stereo
Transformer-Based Visual Segmentation: A Survey
Leveraging Hand-Object Interactions in Assistive Egocentric Vision
Colour Constancy Beyond the Classical Receptive Field
Visual Word Ambiguity
STAR: A First-Ever Dataset and a Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
Construction of a Distributed Associative Memory on the Basis of Bayes Discriminant Rule
Methods for Fine Registration of Cadastre Graphs to Images
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
Semi-Calibrated Photometric Stereo
A Similarity Measure Between Patterns with Nonindependent Attributes
Guest Editorial: Automated Machine Learning
Representing Noisy Image Without Denoising
Searching for Network Width With Bilaterally Coupled Network
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space
Partial Scene Text Retrieval
Student Loss: Towards the Probability Assumption in Inaccurate Supervision
Image Noise Induced Errors in Camera Positioning
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization
Depth Restoration in Under-Display Time-of-Flight Imaging
Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition
Video Imprint
Determination of the Script and Language Content of Document Images
Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment"
Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation
Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks
Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data
Space and Time Bounds on Indexing 3D Models from 2D Images
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Ranking-Preserving Cross-Source Learning for Image Retargeting Quality Assessment
The Sensitivity of the Modified Viterbi Algorithm to the Source Statistics
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
Estimating the Number of Correct Matches Using Only Spatial Order
Object and Texture Classification Using Higher Order Statistics
Local Shading Analysis
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
Linear Subspace Ranking Hashing for Cross-Modal Retrieval
A Maximum Variance Cluster Algorithm
Accurate and Scalable Surface Representation and Reconstruction from Images
Latent Palmprint Matching
An End-to-End Learning Framework for Video Compression
Switchable Novel Object Captioner
Trace Inference, Curvature Consistency, and Curve Detection
Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data
DREAM: A Dual Variational Framework for Unsupervised Graph Domain Adaptation
Automatic Alignment of Genus-Zero Surfaces
Regularized Image Recovery in Scattering Media
Edge-Region-Based Segmentation of Range Images
The Second Order Local-Image-Structure Solid
Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification
Generalized One-Class Learning Using Pairs of Complementary Classifiers
Efficient and Robust Specular Highlight Removal
Organization of Relational Models for Scene Analysis
Multidimensional Indexing for Recognizing Visual Shapes
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference
Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters
Optimal Transport for Domain Adaptation
Learning Compatibility Coefficients for Relaxation Labeling Processes
Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
Correction to "Best Linear Unbiased Estimators for Properties of Digitized Straight Lines"
Structured Labels in Random Forests for Semantic Labelling and Object Detection
Cluster Definition by the Optimization of Simple Measures
A New Pattern Representation Scheme Using Data Compression
On the Relationship Between Dependence Tree Classification Error and Bayes Error Rate
Mean Shift: A Robust Approach Toward Feature Space Analysis
Re-Identification in the Function Space of Feature Warps
Face Search at Scale
Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems
Training Hidden Markov Models with Multiple Observations-A Combinatorial Method
Hypergraph Isomorphism Computation
Approximate Geometric Pattern Matching Under Rigid Motions
The Performance of Camera Translation Direction Estimators From Optical Flow: Analysis, Comparison, and Theoretical Limits
Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks
Video Transformers: A Survey
Predicting the Required Number of Training Samples
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
Discriminative Face Alignment
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images
Heterogeneous Feature Re-Sampling for Balanced Pedestrian Attribute Recognition
Efficient Group-n Encoding and Decoding for Facial Age Estimation
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework
Multiple Constraints to Compute Optical Flow
Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
A(DP) 2 2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model
Probabilistic Models for Inference about Identity
Enhanced Iterative-Deepening Search
Antifaces: A Novel, Fast Method for Image Detection
Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
Distribution Cognisant Loss for Cross-Database Facial Age Estimation With Sensitivity Analysis
Markov Edit Distance
LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
Symbolic and Geometric Connectivity Graph Methods for Route Planning in Digitized Maps
Robust Adaptive Segmentation of Range Images
Conceptual Clustering in Knowledge Organization
Coherence Constrained Graph LSTM for Group Activity Recognition
Face and Gesture Recognition: Overview
Animatable Implicit Neural Representations for Creating Realistic Avatars From Videos
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients
Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?
Revised Definition of Optical Flow: Integration of Radiometric and Geometric Cues for Dynamic Scene Analysis
Robust Clustering with Applications in Computer Vision
Algorithm-Dependent Generalization Bounds for Multi-Task Learning
Automatic Model Construction and Pose Estimation From Photographs Using Triangular Splines
Computation of Surface Geometry and Segmentation Using Covariance Techniques
VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision Tuning
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning
BuildingFusion: Semantic-Aware Structural Building-Scale 3D Reconstruction
A Multilevel Parallel Processing Approach to Scene Labeling Problems
Low-Rank Matrix Completion Theory via Plücker Coordinates
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem
MoE-Adapters++: Toward More Efficient Continual Learning of Vision-Language Models Via Dynamic Mixture-of-Experts Adapters
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: Faster and Better
A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping
Efficient Optimization of Performance Measures by Classifier Adaptation
Active Fine-Tuning From gMAD Examples Improves Blind Image Quality Assessment
Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review
Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition
Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain
An Optimal Line Following Algorithm
Analysis of the Hands in Egocentric Vision: A Survey
Lift: Multi-Label Learning with Label-Specific Features
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation
Shape Smoothing Using Medial Axis Properties
Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning
Distilling the Unknown to Unveil Certainty
JointFormer: A Unified Framework With Joint Modeling for Video Object Segmentation
Comments on "Algorithms for Shape Analysis of Contours and Waveforms"
Computational versus Psychophysical Bottom-Up Image Saliency: A Comparative Evaluation Study
A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain
Fast Nonparametric Clustering of Structured Time-Series
Semi-Supervised Hierarchical Graph Classification