yusuke1997/dblp-id-title huggingface dataset:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
Novel Views of Objects from a Single Image
A New One-Parametric Fitting Method for Planar Objects
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation
Estimation of Occlusion and Dense Motion Fields in a Bidirectional Bayesian Framework
Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination
ℓ 0 TV: A Sparse Optimization Method for Impulse Noise Image Restoration
An Iterated Estimation of the Motion Parameters of a Rigid Body from Noisy Displacement Vectors
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Bailando++: 3D Dance GPT With Choreographic Memory
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
Non-Stationary Rician Noise Estimation in Parallel MRI Using a Single Image: A Variance-Stabilizing Approach
Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation
Remote Sensing: The Quantitative Approach
A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images
Learning Multivariate Distributions by Competitive Assembly of Marginals
Dynamic 3D Point Cloud Sequences as 2D Videos
Estimation and Compensation of Subpixel Edge Localization Error
A Numerical Solution to the Generalized Mapmaker's Problem: Flattening Nonconvex Polyhedral Surfaces
CARAFE++: Unified Content-Aware ReAssembly of FEatures
The Impact of Adversarial Attacks on Federated Learning: A Survey
A General Discrete Contour Model in Two, Three, and Four Dimensions for Topology-Adaptive Multichannel Segmentation
Introduction of New Associate Editor
Bayesian Function Learning Using MCMC Methods
Structural Indexing: Efficient 2D Object Recognition
Background-Aware Classification Activation Map for Weakly Supervised Object Localization
Correction to "Decomposition of Three-Dimensional Objects into Spheres"
ELD-Net: An Efficient Deep Learning Architecture for Accurate Saliency Detection
C 4 : Exploring Multiple Solutions in Graphical Models by Cluster Sampling
Hashing with Mutual Information
Cooperative Robust Estimation Using Layers of Support
Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning
Ranking Saliency
Correction to 'Markov Random Field Models for Unsupervised Segmentation of Textured Color Images'
Convergence and Consistency of Fuzzy c-means/ISODATA Algorithms
Utilization of Hierarchical, Stochastic Relationship Modeling for Hangul Character Recognition
Minimum Latency Deep Online Video Stabilization and Its Extensions
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
A Hybrid Loss for Multiclass and Structured Prediction
On the Verification of Hypothesized Matches in Model-Based Recognition
Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model
Building k Edge-Disjoint Spanning Trees of Minimum Total Length for Isometric Data Embedding
Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning
Spherical and Hyperbolic Embeddings of Data
Synthesis and Estimation of Random Fields Using Long-Correlation Models
On Distributional Assumptions and Whitened Cosine Similarities
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
Class Conditional Nearest Neighbor for Large Margin Instance Selection
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
The Use of Shrinkage Estimators in Linear Discriminant Analysis
Revisiting Stochastic Multi-Level Compositional Optimization
Learning Race from Face: A Survey
Generalized Spatio-Chromatic Diffusion
Infinite Factorial Unbounded-State Hidden Markov Model
Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms
Design and Estimation of Coded Exposure Point Spread Functions
Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
A Fast 2D Shape Recovery Approach by Fusing Features and Appearance
Motion and Structure from Orthographic Projections
Determining the Camera Response from Images: What Is Knowable?
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
An Efficient Algorithm for Calculating the Exact Hausdorff Distance
Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics
Digital Analysis of Rotated Images
Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks
Lower Bounds for Bayes Error Estimation
Differentiable Multi-Granularity Human Parsing
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
Rank-Based Decomposable Losses in Machine Learning: A Survey
The Design and Use of Steerable Filters
Isometric Non-Rigid Shape-from-Motion with Riemannian Geometry Solved in Linear Time
Pruning Self-Attentions Into Convolutional Layers in Single Path
Super Normal Vector for Human Activity Recognition with Depth Cameras
Weakly Supervised Object Localization and Detection: A Survey
Analysis of a Sampling Technique Applied to Biological Images
Retrieving Similar Styles to Parse Clothing
Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Spatiotemporal GMM for Background Subtraction with Superpixel Hierarchy
Blind Deblurring of Barcodes via Kullback-Leibler Divergence
A Comparison of Decision Tree Ensemble Creation Techniques
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis
Detecting Every Object From Events
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning
A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning
A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data
Deep Visual Odometry With Adaptive Memory
Using Angular Dispersion of Gradient Direction for Detecting Edge Ribbons
Calibrating a Cartesian Robot with Eye-on-Hand Configuration Independent of Eye-to-Hand Relationship
Biometrics from Brain Electrical Activity: A Machine Learning Approach
A Comprehensive Survey of Dataset Distillation
Extraction of Shift Invariant Wavelet Features for Classification of Images with Different Sizes
Ray-Space Epipolar Geometry for Light Field Cameras
SPARE: Symmetrized Point-to-Plane Distance for Robust Non-Rigid 3D Registration
Learning to Follow and Generate Instructions for Language-Capable Navigation
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
A Statistical Model for Contours in Images
Forward Basis Selection for Pursuing Sparse Representations over a Dictionary
On the Convergence of Tsetlin Machines for the XOR Operator
Robust Object Recognition with Cortex-Like Mechanisms
Randomness Regularization With Simple Consistency Training for Neural Networks
Multi-Label Learning With Multiple Complementary Labels
Improved Variance Reduction Methods for Riemannian Non-Convex Optimization
Advancing 3D Object Detection With Depth-Aware Spatial Knowledge Distillation
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
Projective Multiview Structure and Motion from Element-Wise Factorization
Fast Support Vector Classification for Large-Scale Problems
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering
Wasserstein Graph Neural Networks for Graphs With Missing Attributes
Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks
Reidentification by Relative Distance Comparison
Detecting Road Obstacles by Erasing Them
State of the Journal
Retrieving Multispectral Satellite Images Using Physics-Based Invariant Representations
A Flexible Vision-Based Algorithm for a Book Sorting System
Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
OpenGait: A Comprehensive Benchmark Study for Gait Recognition Toward Better Practicality
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses
Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation
Reliability-Aware Restoration Framework for 4D Spectral Photoacoustic Data
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Statistical Pattern Recognition: A Review
Comment on Using the Uniformity Measure for Performance Measure in Image Segmentation
Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions
Camera Calibration from Images of Spheres
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Dynamic Stereo: Passive Ranging to Moving Objects from Relative Image Flows
Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing
Enhanced Tensor RPCA and its Application
Learning Optimal Embedded Cascades
Detection of Edges Using Range Information
Information Bottleneck and Aggregated Learning
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Label-Embedding for Image Classification
The Probability Distribution of Conditional Classification Error
Modified Matched Filter for Cloud Clutter Suppression
Tracking People on a Torus
Semi-Continuity of Skeletons in Two-Manifold and Discrete Voronoi Approximation
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Gradient Harmonization in Unsupervised Domain Adaptation
View Variation of Point-Set and Line-Segment Features
3D Face Reconstruction from a Single Image Using a Single Reference Face Shape
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
New Editor-in-Chief Introduction
Predicting and Estimating the Accuracy of a Subpixel Registration Algorithm
Solving Square Jigsaw Puzzle by Hierarchical Loop Constraints
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications
A Probabilistic Framework for 3D Visual Object Representation
About Neighborhood Counting Measure Metric and Minimum Risk Metric
Learning Across Tasks for Zero-Shot Domain Adaptation From a Single Source Domain
Joint Segmentation and Path Classification of Curvilinear Structures
Object-Level Scene Context Prediction
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation
CoDiNet: Path Distribution Modeling With Consistency and Diversity for Dynamic Routing
Information Dropout: Learning Optimal Representations Through Noisy Computation
SODFormer: Streaming Object Detection With Transformer Using Events and Frames
Learning Local and Global Temporal Contexts for Video Semantic Segmentation
On the Complexity of Discrete Feature Selection for Optimal Classification
Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation
Recurrent Shape Regression
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding
Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation Tasks
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification
Revisiting the Trade-Off Between Accuracy and Robustness via Weight Distribution of Filters
Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition
N-folded Symmetries by Complex Moments in Gabor Space and their Application to Unsupervised Texture Segmentation
Contribution to the Determination of Vanishing Points Using Hough Transform
HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks
Authors'Reply
Room-Object Entity Prompting and Reasoning for Embodied Referring Expression
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
Understanding Episode Hardness in Few-Shot Learning
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
1xN Pattern for Pruning Convolutional Neural Networks
Active Camera Relocalization from a Single Reference Image without Hand-Eye Calibration
Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery
Rotation Invariant Texture Features and Their Use in Automatic Script Identification
Guest Editorial: Special Section on CVPR 2014
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Game Theoretical Pattern Recognition: Application to Imperfect Noncooperative Learning and to Multiclass Classification
Contextual Template Matching: A Distance Measure for Patterns with Hierarchically Dependent Features
On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition
Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints via POCS
Constrained Regularized Differentiation
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision
Segmenting the Motion Components of a Video: A Long-Term Unsupervised Model
Attention Spiking Neural Networks
Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks
A New Measure for Analyzing and Fusing Sequences of Objects
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition
A Fair Comparison Should Be Based on the Same Protocol-Comments on "Trainable Convolution Filters and Their Application to Face Recognition"
GFNet: Global Filter Networks for Visual Recognition
Learning SVM in Kreĭn Spaces
Graph Matching With a Dual-Step EM Algorithm
SAS: A General Framework Induced by Sequence Association for Shape From Focus
Matching Images Using Linear Features
MIR: An Approach to Robust Clustering-Application to Range Image Segmentation
A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis
BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search
Stereo Image Restoration via Attention-Guided Correspondence Learning
Feature Selection and Kernel Learning for Local Learning-Based Clustering
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
Distance Transform for Images Represented by Quadtrees
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval
Graph Matching: Relax at Your Own Risk
Image Motion Estimation From Motion Smear-A New Computational Model
Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning
A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions
GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases
Empirical Performance Evaluation of Graphics Recognition Systems
Interpreting the Rhetoric of Visual Advertisements
Quality Metric Guided Portrait Line Drawing Generation From Unpaired Training Data
Calibration-Free Raw Image Denoising via Fine-Grained Noise Estimation
Reciprocal-Wedge Transform for Space-Variant Sensing
A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory
T-Net++: Effective Permutation-Equivariance Network for Two-View Correspondence Pruning
On Sensor Bias in Experimental Methods for Comparing Interest-Point, Saliency, and Recognition Algorithms
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture
Automatic Analysis of Facial Expressions: The State of the Art
Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs
Stereo Reconstruction of Droplet Flight Trajectories
L'Hôpital's Filter for QSIM
Detection, Localization, and Estimation of Edges
Learning to Track and Identify Players from Broadcast Sports Videos
3-D Position Sensing Using a Passive Monocular Vision System
A General Decoupled Learning Framework for Parameterized Image Operators
Measuring and Predicting Tag Importance for Image Retrieval
Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis
Unsupervised Graph Embedding via Adaptive Graph Learning
Blur-Invariant Similarity Measurement of Images
Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization
Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation
Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration
Deep Lookup Network
Progressive Instance-Aware Feature Learning for Compositional Action Recognition
From Shading to Local Shape
The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data
Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval
Interpretable Visual Question Answering by Reasoning on Dependency Trees
An Algorithm for Finding a Common Structure Shared by a Family of Strings
Sum-Product Networks: A Survey
Statistical Optimality in Multipartite Ranking and Ordinal Regression
Dense 3D Reconstruction from High Frame-Rate Video Using a Static Grid Pattern
Conditional Allocation and Stopping Rules in Bayesian Pattern Recognition
Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation
A Decision Theory Approach to the Approximation of Discrete Probability Densities
Joint Sparse Representation for Robust Multimodal Biometrics Recognition
Robust Kronecker Component Analysis
Integrated Position Estimation Using Aerial Image Sequences
Unsupervised Texture Segmentation Using Markov Random Field Models
In Situ Image Segmentation Using the Convexity of Illumination Distribution of the Light Sources
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data
Implicit Polynomials, Orthogonal Distance Regression, and the Closest Point on a Curve
Estimation of an Observation Satellite's Attitude Using Multimodal Pushbroom Cameras
HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition
Learning Actionlet Ensemble for 3D Human Action Recognition
Detecting Motion through Dynamic Refraction
Shape Discrimination Using Fourier Descriptors
Face Detection in Color Images
Sharing Visual Features for Multiclass and Multiview Object Detection
An Evaluation of Multimodal 2D+3D Face Biometrics
Recognition of Handwritten Chinese Characters by Modified Hough Transform Techniques
Determining Surface Orientation by Projecting a Stripe Pattern
Knowledge-Induced Multiple Kernel Fuzzy Clustering
Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
PADS: A Probabilistic Activity Detection Framework for Video Data
Social-Aware Pedestrian Trajectory Prediction via States Refinement LSTM
Geodesic-Based Bayesian Coherent Point Drift
The Nearest Subclass Classifier: A Compromise between the Nearest Mean and Nearest Neighbor Classifier
Hidden Markov Models with Spectral Features for 2D Shape Recognition
A New Image Motion Estimation Algorithm Based on the EM Technique
One-Dimensional Scan Selection for Two-Dimensional Signal Restoration
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking
Emotion Recognition Based on Physiological Changes in Music Listening
The Use of Objects' Faces in Interpreting Line Drawings
Unified Detection and Tracking of Instruments during Retinal Microsurgery
A Mathematical Model for Computer Image Tracking
Reply to "On the Localization Performance Measure and Optimal Edge Detection"
Object Matching Using a Locally Affine Invariant and Linear Programming Techniques
Figure-Ground Discrimination: A Combinatorial Optimization Approach
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Universal Weighting Metric Learning for Cross-Modal Retrieval
MovieChat+: Question-Aware Sparse Memory for Long Video Question Answering
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method
Spatio-Temporal Context for Robust Multitarget Tracking
A Simple Method for Fitting Sphere-Like Surfaces
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation
Restoration of Archival Documents Using a Wavelet Technique
3-D Motion Estimation in Model-Based Facial Image Coding
Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks
The Application of Semantic Classification Trees to Natural Language Understanding
Three-Dimensional Moment Invariants
Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities
Shape from Shading: A Survey
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning
Approximate Matching of Digital Point Sets Using a Novel Angular Tree
Generalizable Black-Box Adversarial Attack With Meta Learning
3D Point-Voxel Correlation Fields for Scene Flow Estimation
HIRI-ViT: Scaling Vision Transformer With High Resolution Inputs
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction
TPAMI CVPR Special Section
Learning to Detect a Salient Object
On Bending Invariant Signatures for Surfaces
Multivariate Autoregressive Feature Extraction and the Recognition of Multichannel Waveforms
The Recognition of Human Movement Using Temporal Templates
TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation
Modeling Noisy Annotations for Point-Wise Supervision
Detecting the Number of Clusters in n-Way Probabilistic Clustering
Natural Language Modeling for Phoneme-to-Text Transcription
Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
Input Feature Selection by Mutual Information Based on Parzen Window
Computer Tracking of Moving Point Targets in Space
On Recognizing and Positioning Curved 3-D Objects from Image Contours
Extensions of Scale-Space Filtering to Machine-Sensing Systems
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM
Temporal Action Localization in the Deep Learning Era: A Survey
In the Eye of the Beholder: Gaze and Actions in First Person Video
Tracking People's Hands and Feet Using Mixed Network AND/OR Search
Dynamic Occlusion Analysis in Optical Flow Fields
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
A Spatio-Frequency Trade-Off Scale for Scale-Space Filtering
Clickstream Analysis for Crowd-Based Object Segmentation with Confidence
Generalized Canonical Time Warping
Obituary: Pierre Devijver
A Note on the Number of Solutions of the Noncoplanar P4P Problem
Fitting Optimal Piecewise Linear Functions Using Genetic Algorithms
Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling