yusuke1997/dblp-id-title huggingface dataset:
Identification of Man-Made Regions in Unmanned Aerial Vehicle Imagery and Videos
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
HCP: A Flexible CNN Framework for Multi-Label Image Classification
Matching Aerial Images to 3-D Terrain Maps
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting
Image Representation Using Block Pattern Models and Its Image Processing Applications
Heterophily-Aware Representation Learning on Heterogeneous Graphs
Adversarial Attacks on Time Series
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
Linear Object Classes and Image Synthesis From a Single Example Image
Robust Point Correspondence Applied to Two-and Three-Dimensional Image Registration
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style Transfer
Measuring Photolithographic Overlay Accuracy and Critical Dimensions by Correlating Binarized Laplacian of Gaussian Convolutions
A New In-Camera Imaging Model for Color Computer Vision and Its Application
Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps
Geometric Back-Propagation in Morphological Neural Networks
Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
On the Intrinsic Reconstruction of Shape from Its Symmetries
Image Restoration by Matching Gradient Distributions
Model-Based Shape Matching with Structural Feature Grouping
Curved Glide-Reflection Symmetry Detection
Maurer-Cartan Forms for Fields on Surfaces: Application to Heart Fiber Geometry
On the Probabilistic Interpretation of Neural Network Classifiers and Discriminative Training Criteria
A Syntactic Approach to 3-D Object Representation
Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach
A Medial Axis Transformation for Grayscale Pictures
Transformation-Invariant Clustering Using the EM Algorithm
Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images
Fast Exact Search in Hamming Space With Multi-Index Hashing
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering
Linear RGB-D SLAM for Structured Environments
HOLI-1-to-3: Transient-Enhanced Holistic Image-to-3D Generation
Learning Full Pairwise Affinities for Spectral Segmentation
An HMM-Based Segmentation Method for Traffic Monitoring Movies
Uncertainty-Boosted Robust Video Activity Anticipation
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Multiple Human Association and Tracking From Egocentric and Complementary Top Views
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
A Practical Approach for Writer-Dependent Symbol Recognition Using a Writer-Independent Symbol Recognizer
Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
Sparse Decompositions for Exploratory Pattern Analysis
Sequential Point Clouds: A Survey
A Morphologically Optimal Strategy for Classifier Combination: Multiple Expert Fusion as a Tomographic Process
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation
Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
Font Recognition Based on Global Texture Analysis
STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image
Probabilistic Finite-State Machines-Part I
PhysMLE: Generalizable and Priors-Inclusive Multi-Task Remote Physiological Measurement
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching
A Trained Spin-Glass Model for Grouping of Image Primitives
Gradient Matters: Designing Binarized Neural Networks via Enhanced Information-Flow
A New Distance Measure for Model-Based Sequence Clustering
Shape Recognition with Spectral Distances
Reply to: Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks'
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces
Pyramidal Semantic Correspondence Networks
Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification
Automated Latent Fingerprint Recognition
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks
On Active Camera Control and Camera Motion Recovery with Foveate Wavelet Transform
On Navigating Between Friends and Foes
From Keypoints to Object Landmarks via Self-Training Correspondence: A Novel Approach to Unsupervised Landmark Discovery
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation
Introduction of New Editor-in-Chief
Boundary Detection by Constrained Optimization
Fast Bundle Algorithm for Multiple-Instance Learning
Computing the Hough Transform on a Scan Line Array Processor (Image Processing)
Facial Video-Based Remote Physiological Measurement via Self-Supervised Learning
Hessian-Aware Zeroth-Order Optimization
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
A Language for Construction of Belief Networks
DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors
Image Quality Assessment: Unifying Structure and Texture Similarity
Learning Frequency Domain Priors for Image Demoireing
Distributed Multi-Agent Gaussian Regression via Finite-Dimensional Approximations
Synthetic Data in Human Analysis: A Survey
Subspace Clustering by Block Diagonal Representation
DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor
Optimal Combination of Nested Clusters by a Greedy Approximation Algorithm
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
On Fusers that Perform Better than Best Sensor
The CMU Pose, Illumination, and Expression Database
Matching Sets of 3D Line Segments with Application to Polygonal Arc Matching
Online Empirical Evaluation of Tracking Algorithms
DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning
The Binary Consistency Checking Scheme and Its Applications to Seismic Horizon Detection
Contextual Transformer Networks for Visual Recognition
Few-Shot Partial Multi-View Learning
Dense Estimation of Fluid Flows
An Improved Power Cepstrum Based Stereo Correspondence Method for Textured Scenes
Probability Intervals Over Influence Diagrams
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces
Vision and Inertial Sensor Cooperation Using Gravity as a Vertical Reference
Wavelet Approximation-Aware Residual Network for Single Image Deraining
2D Affine and Projective Shape Analysis
Learning Efficient and Effective Trajectories for Differential Equation-Based Image Restoration
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
Combinatorial Clustering and the Beta Negative Binomial Process
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Classification Using Adaptive Wavelets for Feature Extraction
Dynamic Quantization: Two Adaptive Data Structures for Multidimensional Spaces
Feature Selection for Multiclass Discrimination via Mixed-Integer Linear Programming
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
Novelty Detection and Online Learning for Chunk Data Streams
Shape Classification Using the Inner-Distance
Variational Level Set Evolution for Non-Rigid 3D Reconstruction From a Single Depth Camera
An Adaptive Contour Closure Algorithm and Its Experimental Evaluation
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis
Advanced Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
PnP-GA+: Plug-and-Play Domain Adaptation for Gaze Estimation Using Model Variants
A New Image Representation Algorithm Inspired by Image Submodality Models, Redundancy Reduction, and Learning in Biological Vision
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling
Viewpoint-Consistent 3D Face Alignment
Adaptive Split-and-Merge Segmentation Based on Piecewise Least-Square Approximation
Model-Based Image Enhancement of Far Infrared Images
Parametric Regression on the Grassmannian
Baselines Extraction from Curved Document Images via Slope Fields Recovery
PhlatCam: Designed Phase-Mask Based Thin Lensless Camera
Neighborhood Preserving Kernels for Attributed Graphs
Complementary to Multiple Labels: A Correlation-Aware Correction Approach
Rolling Shutter Homography and its Applications
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Texture Segmentation using 2-D Gabor Elementary Functions
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization
Image Projective Invariants
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
ViTPose++: Vision Transformer for Generic Body Pose Estimation
Fast Foveating Cameras for Dense Adaptive Resolution
Multiple Widths Yield Reliable Finite Differences (Computer Vision)
OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection
A Hierarchical Compositional Model for Face Representation and Sketching
EasyOutPainter: One Step Image Outpainting With Both Continuous Multiple and Resolution
Enhancing Sound Source Localization via False Negative Elimination
Experiments in Text Recognition with Binary n-Gram and Viterbi Algorithms
Proposal-Free Network for Instance-Level Object Segmentation
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics
Stereo Calibration from Rigid Motions
Correction to "Segmentation of Images Having Unimodal Distributions"
Mutual-Assistance Learning for Object Detection
Homomorphic Interpolation Network for Unpaired Image-to-Image Translation
Bayesian Estimation of Turbulent Motion
Operational Support Estimator Networks
Error-Tolerant Retrieval of Trees
Dense Semantic 3D Reconstruction
Color to Gray: Visual Cue Preservation
USTEP: Spatio-Temporal Predictive Learning Under a Unified View
Global Shape Analysis by k-Syntactic Similarity
Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
Studies in Global and Local Histogram-Guided Relaxation Algorithms
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Shape Matching and Object Recognition Using Shape Contexts
Multiview Face Detection and Registration Requiring Minimal Manual Intervention
Erratum to "Deep Back-Projection Networks for Single Image Super-Resolution"
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
Intelligent Bionic Polarization Orientation Method Using Biological Neuron Model for Harsh Conditions
Web Image Re-Ranking UsingQuery-Specific Semantic Signatures
Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity
Non-Rigid Graph Registration Using Active Testing Search
Towards Zero-Shot Sign Language Recognition
Geometric and Illumination Invariants for Object Recognition
A Microcomputer System for Processing Natural Languages
Real-Time Tracking of Moving Persons by Exploiting Spatio-Temporal Image Slices
Joint Depth and Color Camera Calibration with Distortion Correction
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
The Action Similarity Labeling Challenge
An Empirical Comparison of Backtracking Algorithms
A Markov Random Field Groupwise Registration Framework for Face Recognition
Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
ACLI: A CNN Pruning Framework Leveraging Adjacent Convolutional Layer Interdependence and $\gamma$γ-Weakly Submodularity
Memory Efficient Max Flow for Multi-Label Submodular MRFs
Person Re-Identification by Contour Sketch Under Moderate Clothing Change
Robust Point Set Registration Using Gaussian Mixture Models
Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos
Active Clustering with Model-Based Uncertainty Reduction
A Behavioral Handwriting Model for Static and Dynamic Signature Synthesis
Normalized-Full-Palmar-Hand: Toward More Accurate Hand-Based Multimodal Biometrics
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification
Deep Photometric Stereo for Non-Lambertian Surfaces
Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes
Multi-Camera Trajectory Forecasting With Trajectory Tensors
A Survey on Vision Transformer
Segmenting Simply Connected Moving Objects in a Static Scene
SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-World Object Detector
Transforming Complex Problems Into K-Means Solutions
Clustering by Minimum Cut Hyperplanes
Active Visual Segmentation
On the Comparison of Conceptual Clustering and Numerical Taxonomy
Spatial Re-Parameterization for N:M Sparsity
Towards Robust Person Re-Identification by Defending Against Universal Attackers
Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice
Geometry of Single Axis Motions Using Conic Fitting
Learning to Segment Human by Watching YouTube
Generative Multi-Label Zero-Shot Learning
Motion-Based Motion Deblurring
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm
Differential Earth Mover's Distance with Its Applications to Visual Tracking
Structural Analysis of Natural Textures
Making Trillion Correlations Feasible in Feature Grouping and Selection
Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics
Shape from Shading with a Linear Triangular Element Surface Model
Physics-Guided Reflection Separation From a Pair of Unpolarized and Polarized Images
Guest Editorial: Non-Euclidean Machine Learning
Learning Human Actions by Combining Global Dynamics and Local Appearance
Perspective Camera Model With Refraction Correction for Optical Velocimetry Measurements in Complex Geometries
Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Active Curve Recovery of Region Boundary Patterns
Revisiting Computer-Aided Tuberculosis Diagnosis
Object Tracking Benchmark
DeepCloth: Neural Garment Representation for Shape and Style Editing
Flexible Syntactic Matching of Curves and Its Application to Automatic Hierarchical Classification of Silhouettes
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval
Unpaired Person Image Generation With Semantic Parsing Transformation
Depth Estimation and Image Restoration Using Defocused Stereo Pairs
A Methodology for Mapping Scores to Probabilities
Feature Completion for Occluded Person Re-Identification
Bayesian Embeddings for Few-Shot Open World Recognition
Attention in Attention Networks for Person Retrieval
Graph Theory Based Large-Scale Machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases
Effects of Sample Size in Classifier Design
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
Segmentation of Frame Sequences Obtained by a Moving Observer
Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane
AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition
ComPtr: Toward Diverse Bi-Source Dense Prediction Tasks via a Simple Yet General Complementary Transformer
Deterministic Approximate Methods for Maximum Consensus Robust Fitting
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
Object Recognition Robust Under Translations, Deformations, and Changes in Background
MGNR: A Multi-Granularity Neighbor Relationship and Its Application in KNN Classification and Clustering Methods
Face-from-Depth for Head Pose Estimation on Depth Images
Matching Forensic Sketches to Mug Shot Photos
Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
Adaptive Relaxation Labeling
Exact Optimization for Markov Random Fields with Convex Priors
Pixel Transposed Convolutional Networks
MixFormer: End-to-End Tracking With Iterative Mixed Attention
A Compositional and Dynamic Model for Face Aging
Local Estimation of the Uniform Error Threshold
Robust and Efficient Ridge-Based Palmprint Matching
An A-Contrario Approach for Subpixel Change Detection in Satellite Imagery
Separation of Diffuse and Specular Components of Surface Reflection by Use of Polarization and Statistical Analysis of Images
Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification
Task-Oriented Generation of Visual Sensing Strategies in Assembly Tasks
Re-weighting and 1-Point RANSAC-Based P n nP Solution to Handle Outliers
Approximate Fisher Kernels of Non-iid Image Models for Image Categorization
Effective Proximity Retrieval by Ordering Permutations
ED-Pose++: Enhanced Explicit Box Detection for Conventional and Interactive Multi-Object Keypoint Detection
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Representational Gradient Boosting: Backpropagation in the Space of Functions
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach
A Linear Programming Approach for the Weighted Graph Matching Problem
Best Fitting Hyperplanes for Classification
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination
Object-Centric Representation Learning for Video Scene Understanding
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
Prototype-Based Semantic Segmentation
Bayesian Approaches to Gaussian Mixture Modeling
A Mechanism of Automatic 3D Object Modeling
On the Optimality of Sufficient Statistics-Based Quantizers
New Characterizations of Simple Points in 2D, 3D, and 4D Discrete Spaces
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
Model-Based Three-Dimensional Interpretations of Two-Dimensional Images
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Optimal Edge Detector Design I: Parameter Selection and Noise Effects
Old Photo Restoration via Deep Latent Space Translation
Robust Correlated and Individual Component Analysis
Bayesian Clustering of Fuzzy Feature Vectors Using a Quasi-Likelihood Approach
Range Image Acquisition with a Single Binary-Encoded Light Pattern
Shading-Based Surface Detail Recovery Under General Unknown Illumination
Bin Ratio-Based Histogram Distances and Their Application to Image Classification
Learning Compact Discriminant Representation via Low-Rank Bilinear Pooling
Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping
The Infinite-Order Conditional Random Field Model for Sequential Data Modeling
Making Use of Contradictory Behavior Information in Qualitative Reasoning
Multi-View Representation Learning With Deep Gaussian Processes
Fast Weakly Supervised Action Segmentation Using Mutual Consistency
Hierarchical Image Saliency Detection on Extended CSSD
Learning AND-OR Templates for Object Recognition and Detection
Introduction to the Special Section on Learning in Computer Vision
2-D Shape Classification Using Hidden Markov Model
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Late Fusion Incomplete Multi-View Clustering
Single Day Outdoor Photometric Stereo
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Modal Matching for Correspondence and Recognition
Unique Geometry and Texture From Corresponding Image Patches
The Number of N-Point Digital Discs
A Field Model for Human Detection and Tracking
Identification of Fork Points on the Skeletons of Handwritten Chinese Characters
Correction to "Gaussian Process Dynamical Models for Human Motion"
APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction
Decomposition of Convex Polygonal Morphological Structuring Elements into Neighborhood Subsets
Person Re-Identification by Camera Correlation Aware Feature Augmentation
A Correlation-Relaxation-Labeling Framework for Computing Optical Flow - Template Matching from a New Perspective
Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing
Probabilistic Finite-State Machines-Part II
Arbitrarily Tight Upper and Lower Bounds on the Bayesian Probability of Error
Oriented Structure of the Occlusion Distortion: Is It Reliable?
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs
The Wedge Filter Technique for Convex Boundary Estimation
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum
On the Optimal Parameter Choice for v-Support Vector Machines
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Informed Adaptive Sensing
Learning Deep Binary Descriptor with Multi-Quantization
Defensive Few-Shot Learning
Mathematical Structures of Line Drawings of Polyhedrons-Toward Man-Machine Communication by Means of Line Drawings
Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings
Corrections to "General Scheme of Region Competition Based on Scale Space"
A Multichannel Approach to Fingerprint Classification
Breakpoint Detection Using Covariance Propagation
Graph Prompt Clustering
Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning
Edge-Preserving Filtering of Images with Low Photon Counts
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
Frequent Pattern Mining in Continuous-Time Temporal Networks
Weakly Supervised Learning of Interactions between Humans and Objects
Learning Image Descriptors with Boosting
Deep Learning for 3D Point Clouds: A Survey
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns
Prototype Completion for Few-Shot Learning
Finding Line Segments by Stick Growing
Learning Deep Binary Descriptors via Bitwise Interaction Mining
Multiple Kernel Learning for Visual Object Recognition: A Review
Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback
Personalized Age Progression with Bi-Level Aging Dictionary Learning