yusuke1997/dblp-id-title huggingface dataset:
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features
HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-Body Mesh Recovery
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Dynamic Scene Recognition with Complementary Spatiotemporal Features
Simulating the Grassfire Transform Using an Active Contour Model
Geometric Reasoning for Recognition of Three-Dimensional Object Features
Optimal Registration of Object Views Using Range Data
Bias-Compensated Integral Regression for Human Pose Estimation
Gaussian Process-Gated Hierarchical Mixtures of Experts
Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information
A Fast Parallel Algorithm for Blind Estimation of Noise Variance
Spatial Steerability of GANs via Self-Supervision from Discriminator
Active Vision for Complete Scene Reconstruction and Exploration
Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference
A Computational Model of View Degeneracy
Similarity and Affine Invariant Distances Between 2D Point Sets
A Dual-Bound Algorithm for Very Fast and Exact Template Matching
Text Detection and Recognition in Imagery: A Survey
Improving Generative Adversarial Networks With Local Coordinate Coding
Feature-Preserving Clustering of 2-D Data for Two-Class Problems Using Analytical Formulas: An Automatic and Fast Approach
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction
Multilayer Adaptive Linear Predictors for Real-Time Tracking
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
Complex Autoregressive Model for Shape Recognition
A Convex Hull Inclusion Test
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Image Approximation by Variable Knot Bicubic Splines
Structured Light Using Pseudorandom Codes
Automatic Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
Res2Net: A New Multi-Scale Backbone Architecture
Learning to Super-Resolve Blurry Images With Events
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360$^{\circ }$∘ Videos
Learning Efficient Binarized Object Detectors With Information Compression
Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification
Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization
On curve matching
A Framework for Weighted Fusion of Multiple Statistical Models of Shape and Appearance
Performance Assessment Through Bootstrap
A Flexible EM-Like Clustering Algorithm for Noisy Data
Optimal Decision Rule with Class-Selective Rejection and Performance Constraints
Dissimilarity-Based Sparse Subset Selection
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
A Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
Hilbert Curve Projection Distance for Distribution Comparison
Measuring the Objectness of Image Windows
Mask2Anomaly: Mask Transformer for Universal Open-Set Segmentation
Nonparametric Discriminant Analysis for Face Recognition
Inequality-Constrained 3D Morphable Face Model Fitting
Finite-Resolution Aspect Graphs of Polyhedral Objects
A Projection Operator for the Restoration of Divergence-Free Vector Fields
Tighter Regret Analysis and Optimization of Online Federated Learning
WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy
Towards Open-World Person Re-Identification by One-Shot Group-Based Verification
Application of k-Nearest-Neighbor Decision Rule in Vowel Recognition
Deep Neural Network Compression by In-Parallel Pruning-Quantization
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
Graph Cuts via l 1 Norm Minimization
Grid Anchor Based Image Cropping: A New Benchmark and An Efficient Model
A New Algorithm for Image Edge Extraction Using a Statistical Classifier Approach
Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction
Shape Description by Time Series
VMarker-Pro: Probabilistic 3D Human Mesh Estimation From Virtual Markers
Precision Tracking Based on Segmentation with Optimal Layering for Imaging Sensors
Penrose Pixels for Super-Resolution
VISTA: Visual Interpretation System for Technical Applications-Architecture and Use
Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples
NeuMesh++: Toward Versatile and Efficient Volumetric Editing With Disentangled Neural Mesh-Based Implicit Field
HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input
Earning Extra Performance From Restrictive Feedbacks
On the Detection of Dominant Points on Digital Curves
Global Instance Tracking: Locating Target More Like Humans
On Kleinberg's Stochastic Discrimination Procedure
Dynamic Programming Generation of Curves on Brain Surfaces
Skewed Rotation Symmetry Group Detection
Nonlinear Image Filtering with Edge and Corner Enhancement
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions
A Separable Low Complexity 2D HMM with Application to Face Recognition
Information Loss of the Mahalanobis Distance in High Dimensions: Application to Feature Selection
Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing
Disparity Analysis of Images
SphereFace Revived: Unifying Hyperspherical Face Recognition
On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments
Learning by Restoring Broken 3D Geometry
Quantization Error in Hexagonal Sensory Configurations
Learning of 3D Graph Convolution Networks for Point Cloud Analysis
Automatic Script Identification From Document Images Using Cluster-Based Templates
360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-View Geometric Consistency Perception
A Syntactic Approach for Handwritten Mathematical Formula Recognition
PVNet: Pixel-Wise Voting Network for 6DoF Object Pose Estimation
Efficient Globally Optimal Consensus Maximisation with Tree Search
Skeleton-Based Online Action Prediction Using Scale Selection Network
ONNXPruner: ONNX-Based General Model Pruning Adapter
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling
Linear Discriminant Analysis for Two Classes via Removal of Classification Structure
The Active Recovery of 3D Motion Trajectories and Their Use in Prediction
PAMI Editorial Board Changes
Multi-Language Online Handwriting Recognition
Hybrid Genetic Algorithms for Feature Selection
Principal Surfaces from Unsupervised Kernel Regression
MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration
Anti-Forgetting Adaptation for Unsupervised Person Re-Identification
Adaptation Strategies for Automated Machine Learning on Evolving Data
Detection of Dimension Sets in Engineering Drawings
The Recovery and Understanding of a Line Drawing from Indoor Scenes
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling
MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations
The Integration of Image Segmentation Maps using Region and Edge Information
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild
Probabilistic Context-Free Grammars Estimated from Infinite Distributions
Top-Down Induction of Model Trees with Regression and Splitting Nodes
Perception of 3-D Surfaces from 2-D Contours
Virtual and Real World Adaptationfor Pedestrian Detection
Deep$\mathrm {M^{2}}$M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network
Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation
Efficient Space-Time Sampling with Pixel-Wise Coded Exposure for High-Speed Imaging
Panoptic Studio: A Massively Multiview System for Social Interaction Capture
Geometric Feature Extraction by a Multimarked Point Process
Toward Understanding the Generalizability of Delayed Stochastic Gradient Descent
A Survey on Deep Learning Technique for Video Segmentation
Recognizing Predictive Substructures With Subgraph Information Bottleneck
Rotation Invariant Kernels and Their Application to Shape Analysis
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method
Automatic Inspection System for Printed Circuit Boards
Learning to See Through With Events
Contingency Space: A Semimetric Space for Classification Evaluation
Transformations Based on Continuous Piecewise-Affine Velocity Fields
Difference Subspace and Its Generalization for Subspace-Based Methods
How Easy is Matching 2D Line Models Using Local Search?
High Accuracy Optical Character Recognition Using Neural Networks with Centroid Dithering
Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning
Guest Editorial: Best of CVPR 2015
Difference-Based Image Noise Modeling Using Skellam Distribution
Query-Oriented Micro-Video Summarization
Finsler Active Contours
Continuous 3D Label Stereo Matching Using Local Expansion Moves
One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Medical Federated Model With Mixture of Personalized and Shared Components
Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade
Symmetry as a Continuous Feature
Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning
Tractable Maximum Likelihood Estimation for Latent Structure Influence Models With Applications to EEG & ECoG Processing
Ranking-Based Color Constancy With Limited Training Samples
Robust Light Field Depth Estimation Using Occlusion-Noise Aware Data Costs
Recovering the Position and Orientation of Free-Form Objects from Image Contours Using 3D Distance Maps
Detailed 3D Representations for Object Recognition and Modeling
Graph Regularized Nonnegative Matrix Factorization for Data Representation
Temporal Segment Networks for Action Recognition in Videos
Order-Preserving Moves for Graph-Cut-Based Optimization
Unsupervised Discriminative Feature Selection With $\ell _{2,0}$ℓ2,0-Norm Constrained Sparse Projection
Three-Dimensional Vision Structure for Robot Applications
Locally Orderless Registration
Modeling 3D Environments through Hidden Human Context
Representing Images Using Nonorthogonal Haar-Like Bases
Part-Based Object Retrieval in Cluttered Environment
Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging
Searching in Symmetric Solution Space for Permutation-Related Optimization Problems
A Sphere-Description-Based Approach for Multiple-Instance Learning
Latent Fingerprint Matching: Performance Gain via Feedback from Exemplar Prints
Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-Constraints
Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging
Robust 3-D-3-D Pose Estimation
FedIPR: Ownership Verification for Federated Deep Neural Network Models
Connected Line Drawing Extraction from a Perspective View of a Polyhedron
The K1-Map Reduction for Pattern Classifications
Recognizing Human Facial Expressions From Long Image Sequences Using Optical Flow
Siamese Cooperative Learning for Unsupervised Image Reconstruction From Incomplete Measurements
On Bayesian Network Classifiers with Reduced Precision Parameters
Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds
Translation of Fuzzy Queries for Relational Database System
Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search
A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation
Direct Least Square Fitting of Hyperellipsoids
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Fast Component Tree Computation for Images of Limited Levels
Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-Driven Learning
A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema
Convex Digital Solids
Pair Then Relation: Pair-Net for Panoptic Scene Graph Generation
Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data
A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
Structured Highlight Inspection of Specular Surfaces
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
Multi-Class Supervised Novelty Detection
MILES: Multiple-Instance Learning via Embedded Instance Selection
Semi-Supervised Video Segmentation Using Tree Structured Graphical Models
Watershed Cuts: Thinnings, Shortest Path Forests, and Topological Watersheds
Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning
Scaling Multidimensional Inference for Structured Gaussian Processes
Deformation Models for Image Recognition
Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks
Frequency-Domain Transient Imaging
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation
A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities
Knowledge-Directed Interpretation of Mechanical Engineering Drawings
Staff Detection with Stable Paths
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
A Survey on Information Bottleneck
Reconstructing High Quality Raw Video Using Temporal Affinity and Diffusion Prior
Gradualness Facilitates Knowledge Refinement
Height-from-Polarisation with Unknown Lighting or Albedo
Two-Dimensional Critical Point Configuration Graphs
BONSAI: 3D Object Recognition Using Constrained Search
Grouping-Based Nonadditive Verification
Attributed String Matching by Split-and-Merge for On-Line Chinese Character Recognition
A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs
Omnistereo: Panoramic Stereo Imaging
Three-View Stereo Analysis
Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation
Minimal Representations of 3D Models in Terms of Image Parameters under Calibrated and Uncalibrated Perspective
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
Gating Revisited: Deep Multi-Layer RNNs That can be Trained
A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
Low-Shot Video Object Segmentation
Evaluating the Generalization Ability of Super-Resolution Networks
Hierarchical Context Modeling for Video Event Recognition
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras
Cap4Video++: Enhancing Video Understanding With Auxiliary Captions
The Intensity Axis of Symmetry and Its Application to Image Segmentation
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Pose Estimation from Line Correspondences: A Complete Analysis and a Series of Solutions
Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions
Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank
Sparse Feature Extractionfor Pose-Tolerant Face Recognition
A Review of Domain Adaptation without Target Labels
CycleMLP: A MLP-Like Architecture for Dense Visual Predictions
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features
Generalizing to New Dynamical Systems via Frequency Domain Adaptation
Revisiting 2D Convolutional Neural Networks for Graph-Based Applications
N-Tuple Features for OCR Revisited
An Efficient Joint Formulation for Bayesian Face Verification
Fast Building Instance Proxy Reconstruction for Large Urban Scenes
FOCUSR: Feature Oriented Correspondence Using Spectral Regularization-A Method for Precise Surface Matching
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
Face Recognition Using Laplacianfaces
CLRNetV2: A Faster and Stronger Lane Detector
Efficient Human Pose Estimation from Single Depth Images
Robust Object Matching for Persistent Tracking with Heterogeneous Features
Object Affinity Learning: Towards Annotation-Free Instance Segmentation
Event-Based Vision: A Survey
2-D Invariant Object Recognition Using Distributed Associative Memory
Optimal Edge Detection using Expansion Matching and Restoration
Pattern Recognition and Valiant's Learning Framework
Topology-Aware Graph Pooling Networks
Unifying Flow, Stereo and Depth Estimation
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Hyperbolic Wasserstein Distance for Shape Indexing
A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type
Comments on "A Counterexample to a Diameter Algorithm for Convex Polygons"
Dynamic Loss for Robust Learning
Iteratively Capped Reweighting Norm Minimization With Global Convergence Guarantee for Low-Rank Matrix Learning
Rank Classification of Linear Line Structures from Images by Trifocal Tensor Determinability
Gradient Vector Flow Fast Geometric Active Contours
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching
Feature Extraction Using Problem Localization
Machine Printed Text and Handwriting Identification in Noisy Document Images
Paracatadioptric Camera Calibration
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model
Differentially Private Graph Neural Networks for Whole-Graph Classification
Adaptive Linear Regressionfor Appearance-Based Gaze Estimation
Context Disentangling and Prototype Inheriting for Robust Visual Grounding
A Coarse to Fine Minutiae-Based Latent Palmprint Matching
Improving the Clustering Performance of the Scanning n-Tuple Method by Using Self-Supervised Algorithms to Introduce Subclasses
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation
Robust Model Watermarking for Image Processing Networks via Structure Consistency
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis
Looking at People: Sensing for Ubiquitous and Wearable Computing
Second-Order Pooling for Graph Neural Networks
Performance Comparison of Scene Matching Techniques
Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes
Multi-View Intact Space Learning
A Flexible New Technique for Camera Calibration
Self-Regulated Learning for Egocentric Video Activity Anticipation
Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search
A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning
Phasic Triplet Markov Chains
Non-Negative Matrix Factorizations for Multiplex Network Analysis
Single-Image Vignetting Correction from Gradient Distribution Symmetries
Optical Font Recognition Using Typographical Features
Learning Shape Classes
Quad-Trees, Oct-Trees, and K-Trees: A Generalized Approach to Recursive Decomposition of Euclidean Space
Shape Representation by Multiscale Contour Approximation
Convolutional Cross-View Pose Estimation
CLIP-Driven Transformer for Weakly Supervised Object Localization
Image Visual Realism: From Human Perception to Machine Computation
Pattern-Based Interactive Diagnosis of Multiple Disorders: The MEDAS System
3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency?
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling
Geodesic Models With Convexity Shape Prior
Noise-Robust Vision-Language Pre-Training With Positive-Negative Learning
Multiview Feature Selection for Single-View Classification
Deeply Supervised Discriminative Learning for Adversarial Defense
Adaptive Temporal Difference Learning With Linear Function Approximation
Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling
Differential Viewpoints for Ground Terrain Material Recognition
Discrimination-Aware Network Pruning for Deep Model Compression
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
Graph Partitioning Active Contours (GPAC) for Image Segmentation
QGORE: Quadratic-Time Guaranteed Outlier Removal for Point Cloud Registration
A Deep Matrix Factorization Method for Learning Attribute Representations
Unambiguous Text Localization, Retrieval, and Recognition for Cluttered Scenes
Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration
Steps Toward Knowledge-Based Machine Translation
Non-Local Graph Neural Networks
Nonsmooth Nonnegative Matrix Factorization (nsNMF)
Shape from Specular Flow
Branch-and-Bound Methods for Euclidean Registration Problems
Unsupervised Contrastive Cross-Modal Hashing
On the Stability of Shared Near Neighbor Clustering
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection
t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators
Multi-Timescale Collaborative Tracking
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Differentiable Image Data Augmentation and Its Applications: A Survey
Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo
Photometric Stereo via Expectation Maximization
Efficient 3-D Object Representations for Industrial Vision Systems
Discriminative Scale Space Tracking
Fingerprint Classification by Directional Image Partitioning
Tangent Bundle Elastica and Computer Vision
Probability Models for Clutter in Natural Images
Exploration of Shape Variation Using Localized Components Analysis
Border and SurfaceTracing - Theoretical Foundations
Attributed Programmed Graph Grammars and Their Application to Schematic Diagram Interpretation
A Unified Approach for Modeling Longitudinal and Failure Time Data, With Application in Medical Monitoring
Graph Matching with Adaptive and Branching Path Following
Aesthetics-Guided Low-Light Enhancement
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry
Partial Smoothing Splines for Noisy +Boundaries with Corners
SDV-LOAM: Semi-Direct Visual-LiDAR Odometry and Mapping
MetaKernel: Learning Variational Random Features With Limited Labels
Latent-Class Hough Forests for 6 DoF Object Pose Estimation
Discriminative Video Pattern Search for Efficient Action Detection
Learnable and Nonlearnable Visual Concepts
On-Line Recognition of Handwritten Arabic Characters
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds
L 0 -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond
Generating Octrees from Object Silhouettes in Orthographic Views
Age from Faces in the Deep Learning Revolution
Matching Three-Dimensional Objects Using Silhouettes
Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration
Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
Geometric Probing of Dense Range Data
Dimensionality Reduction of Clustered Data Sets
Use of Range and Reflectance Data to Find Planar Surface Regions
A Pipelined Image Analysis System Using Custom Integrated Circuits
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network
LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond