yusuke1997/dblp-id-title huggingface dataset:
Combining Image Compression and Classification Using Vector Quantization
PATNAS: A Path-Based Training-Free Neural Architecture Search
Multi-Commodity Network Flow for Tracking Multiple People
Recognition by Linear Combinations of Models
A Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making
Affine structure from line correspondences with uncalibrated affine cameras
Isoperimetric Normalization of Planar Curves
Image Estimation Using Doubly Stochastic Gaussian Random Field Models
Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy
Learning-Aided Neighborhood Search for Vehicle Routing Problems
Cardinal Interpolation
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
Natural Representations for Straight Lines and the Hough Transform on Discrete Arrays
Hierarchical Optimization-Derived Learning
Object Recognition by Discriminative Combinations of Line Segments, Ellipses, and Appearance Features
Scale Preserving Smoothing of Polygons
BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks
Boundary Location from an Initial Plan: The Bead Chain Algorithm
AW-GBGAE: An Adaptive Weighted Graph Autoencoder Based on Granular-Balls for General Data Clustering
Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data
One Fits Many: Class Confusion Loss for Versatile Domain Adaptation
Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement
Incremental Ensemble Gaussian Processes
Machine Learning With Tree Tensor Networks, CP Rank Constraints, and Tensor Dropout
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Stochastic Relaxation on Partitions With Connected Components and Its Application to Image Segmentation
SMMP: A Stable-Membership-Based Auto-Tuning Multi-Peak Clustering Algorithm
Hiding Images within Images
Efficient Recognition of Highly Similar 3D Objects in Range Images
Dimension Reduction With Prior Information for Knowledge Discovery
Unsupervised Gaze Representation Learning by Switching Features
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
L 0 Regularized Stationary-Time Estimation for Crowd Analysis
Cross-Modal Progressive Comprehension for Referring Segmentation
DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences
Detecting Mutual Awareness Events
MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression
Projective Structure from Uncalibrated Images: Structure From Motion and Recognition
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
Mixed Supervised Object Detection with Robust Objectness Transfer
Semantic Layout Manipulation With High-Resolution Sparse Attention
Range Image Segmentation by an Effective Jump-Diffusion Method
Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets
A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks
Design of Multiparameter Steerable Functions Using Cascade Basis Reduction
The Bayes Decision Rule Induced Similarity Measures
Correction to "Unsupervised Feature Selection Using Feature Similarity"
An Automatic Wafer Inspection System Using Pipelined Image Processing Techniques
FlowX: Towards Explainable Graph Neural Networks via Message Flows
Scale and Rotation Invariant Matching Using Linearly Augmented Trees
Error Analysis in Stereo Determination of 3-D Point Positions
Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods
First- And Third-Person Video Co-Analysis By Learning Spatial-Temporal Joint Attention
Coarse-to-Fine Dynamic Programming
Scale Normalized Image Pyramids With AutoFocus for Object Detection
A Computational Approach to Approximate and Plausible Reasoning with Applications to Expert Systems
Latent IBP Compound Dirichlet Allocation
Optimizing Latent Distributions for Non-Adversarial Generative Networks
Repeated Hypothesis Testing on a Growing Data Set
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting
Bayesian Temporal Factorization for Multidimensional Time Series Prediction
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions
VITS-A Vision System for Autonomous Land Vehicle Navigation
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
Heatmap Regression via Randomized Rounding
An Active Testing Model for Tracking Roads in Satellite Images
On View Likelihood and Stability
Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network
Scaling Theorems for Zero Crossings
Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency
The Effects of Translational Misalignment when Self-Calibrating Rotating and Zooming Cameras
Bayesian Analysis of Lidar Signals with Multiple Returns
A Shape-from-Shading Method of Polyhedral Objects Using Prior Information
Exploring the Power of Genetic Search in Learning Symbolic Classifiers
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Advances and Challenges in Meta-Learning: A Technical Review
Variational Infinite Hidden Conditional Random Fields
DiCENet: Dimension-Wise Convolutions for Efficient Networks
A New Way to Represent the Relative Position between Areal Objects
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
Line Pattern Retrieval Using Relational Histograms
Image Segmentation by Unifying Region and Boundary Information
Character Recognition Without Segmentation
Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations
Line-Based Face Recognition under Varying Pose
Reciprocal GAN Through Characteristic Functions (RCF-GAN)
Parallel Algorithms for Hierarchical Clustering and Cluster Validity
Ligature Modeling for Online Cursive Script Recognition
P2T: Pyramid Pooling Transformer for Scene Understanding
Describable Visual Attributes for Face Verification and Image Search
Graph-Based Semisupervised Learning
FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement
Reduction of Obscuration Noise Using Multiple Images
Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks
Learning and Classification of Complex Dynamics
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition
AccDiffusion v2: Toward More Accurate Higher-Resolution Diffusion Extrapolation
Tracking by Sampling and IntegratingMultiple Trackers
Unsupervised Intrinsic Image Decomposition Using Internal Self-Similarity Cues
Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints
Efficient Parallel Processing of Image Contours
Motion Estimation with More than Two Frames
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation
Depth-First Picture Expression Viewed from Digital Picture Processing
Cascaded Parsing of Human-Object Interaction Recognition
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
Improving Zernike Moments Comparison for Optimal Similarity and Rotation Angle Retrieval
Rectilinearity Measurements for Polygons
Robust Online Tracking With Meta-Updater
RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs
Hierarchical Coding of Binary Images
Vector Field Analysis for Oriented Patterns
Grammatical Inference: Introduction and Survey-Part II
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization
Sparse Canonical Correlation Analysis: New Formulation and Algorithm
On Median Graphs: Properties, Algorithms, and Applications
Refining 3D Human Texture Estimation From a Single Image
Application of a Multilayer Decision Tree in Computer Recognition of Chinese Characters
Minimal Surfaces Based Object Segmentation
Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection
Connectedness of Random Walk Segmentation
GAN-Based Facial Attribute Manipulation
RefineNet: Multi-Path Refinement Networks for Dense Prediction
Exploitation of Unlabeled Sequences in Hidden Markov Models
Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations
Multistream Articulatory Feature-Based Models for Visual Speech Recognition
Efficient Relational Sentence Ordering Network
Basic Processes of Chinese Character Based on Cubic B-Spline Wavelet Transform
On Positive-Unlabeled Classification From Corrupted Data in GANs
Imbalanced Deep Learning by Minority Class Incremental Rectification
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
3D Facial Landmark Detection under Large Yaw and Expression Variations
Design, Analysis, and Implementation of a Parallel Tree Search Algorithm
Beyond the Sum of Parts: Voting with Groups of Dependent Entities
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
Localizing Parts of Faces Using a Consensus of Exemplars
Shell Theory: A Statistical Model of Reality
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
Sensor Roll Angle Error for a Mobile Robot Using a Navigation Line
Polynomial-Time Metrics for Attributed Trees
Contexts and Data Dependencies: A Synthesis
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Learning Representation for Clustering Via Prototype Scattering and Positive Sampling
Concept Neural Network Based on Time-Delay Regret for Dynamic Stream Learning
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
Tied Factor Analysis for Face Recognition across Large Pose Differences
Incomplete Multiple Kernel Alignment Maximization for Clustering
Parallel Image Component Labeling With Watershed Transformation
Estimating Components of Univariate Gaussian Mixtures Using Prony's Method
Unveiling the Power of Self-Supervision for Multi-View Multi-Human Association and Tracking
A Generalized Depth Estimation Algorithm with a Single Image
Uniform Resampling of Digitized Contours
A Closed-Form Solution to Retinex with Nonlocal Texture Constraints
UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos
Consistent and Optimal Solution to Camera Motion Estimation
A Unifying Model for Camera Calibration
Generalized Affine Invariant Image Normalization
Dual Instance-Consistent Network for Cross-Domain Object Detection
Fast-Vid2Vid++: Spatial-Temporal Distillation for Real-Time Video-to-Video Synthesis
A Fast Algorithm for Computing a Histogram on Reconfigurable Mesh
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
Mirror Detection With the Visual Chirality Cue
Long-Term Visual Localization Revisited
Bias in Cross-Entropy-Based Training of Deep Survival Networks
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Generalized Parametric Contrastive Learning
Cross-Task Relation-Aware Consistency for Weakly Supervised Temporal Action Detection
On Detection of Multiple Object Instances Using Hough Transforms
N-Dimensional Tensor Voting and Application to Epipolar Geometry Estimation
Frequency Domain Analysis of Translations with Piecewise Cubic Trajectories
Disorder-Invariant Implicit Neural Representation
S$^{2}$2O: Enhancing Adversarial Training With Second-Order Statistics of Weights
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
A Dyadic Wavelet Affine Invariant Function for 2D Shape Recognition
Design of Fiducials for Accurate Registration Using Machine Vision
Improving Adversarial Training From the Perspective of Class-Flipping Distribution
The Generic Viewpoint Assumption and Planar Bias
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder
Learning Reasoning-Decision Networks for Robust Face Alignment
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices
Content Aware Image Pre-Compensation
Operations on Images Using Quad Trees
Sensing Error for a Mobile Robot Using Line Navigation
A New Heuristic for Inferring Regular Grammars
A Comparative Evaluation of Length Estimators of Digital Curves
Local and Global GANs With Semantic-Aware Upsampling for Image Generation
MonoSLAM: Real-Time Single Camera SLAM
The Synthesis and Analysis of Color Images
Performance Evaluation of Some Clustering Algorithms and Validity Indices
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis
Time Series Analysis Using Geometric Template Matching
Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics
Bilinear Scoring Function Search for Knowledge Graph Learning
Robust and Efficient Detection of Salient Convex Groups
Isolated Word Recognition by Neural Network Models with Cross-Correlation Coefficients for Speech Dynamics
Unsupervised Learning Approach to Adaptive Differential Pulse Code Modulation
DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields
Large-Margin Multi-ViewInformation Bottleneck
An Efficient Two-Dimensional FFT Algorithm
An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
Bagging for Path-Based Clustering
Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter
Imaged Document Text Retrieval Without OCR
Context-Based Segmentation of Image Sequences
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
The Chain Pyramid: Hierarchical Contour Processing
Blind Camera Fingerprinting and Image Clustering
Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle Model
A Framework for Automatic Landmark Identification Using a New Method of Nonrigid Correspondence
On Boundary Discontinuity in Angle Regression Based Arbitrary Oriented Object Detection
On Achievable Accuracy in Edge Localization
Learning a Fixed-Length Fingerprint Representation
The Patch Transform
Learning Hierarchical Modular Networks for Video Captioning
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Gracker: A Graph-Based Planar Object Tracker
On the Number of Digital Straight Line Segments
Autonomous Robotic Vehicle Road Following
Consistent Gradient Operators
Learning Polymorphic Neural ODEs With Time-Evolving Mixture
Learning to Recognize Human Activities Using Soft Labels
LSD: A Fast Line Segment Detector with a False Detection Control
A Facsimile-Based Graphics Editing System by Auxiliary Mark Recognition
Hybrid Detectors for Subpixel Targets
In Memoriam: Richard C. Dubes, Satosi Watanabe
Deep Multi-View Enhancement Hashing for Image Retrieval
MBA-SLAM: Motion Blur Aware Dense Visual SLAM With Radiance Fields Representation
Motion Segmentation Using Occlusions
Online Gesture Spotting from Visual Hull Data
3D Reasoning from Blocks to Stability
A Novel and Effective Method to Directly Solve Spectral Clustering
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing
Deep Declarative Networks
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
A Least Mean-Squared Error Approach to Syntactic Classification
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
UBoost: Boosting with the Universum
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
3-D Space Location and Orientation Parameter Estimation of Lambertian Spheres and Cylinders From a Single 2-D Image By Fitting Lines and Ellipses to Thresholded Data
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes
Truncated Robust Principle Component Analysis With A General Optimization Framework
Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations
Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera
Minimum Cross-Entropy Pattern Classification and Cluster Analysis
A Two-Stage Linear Discriminant Analysis via QR-Decomposition
WildVideo: Benchmarking LMMs for Understanding Video-Language Interaction
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
Wasserstein Discriminant Dictionary Learning for Graph Representation
Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion
VC-Dimension of Exterior Visibility
Conformer: Local Features Coupling Global Representations for Recognition and Detection
Learning 3D Human Shape and Pose From Dense Body Parts
Early Jump-Out Corner Detectors
Approximating Bayesian belief networks by arc removal
"Brownian Strings": Segmenting Images with Stochastically Deformable Contours
On Three-Dimensional Surface Reconstruction Methods
Multiple Resolution Representation and Probabilistic Matching of 2-D Gray-Scale Shape
Mean Shift Trackers with Cross-Bin Metrics
Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video
Discriminative Learning of Local Image Descriptors
An Efficient Image Fusion Network Exploiting Unifying Language and Mask Guidance
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation
Effective Representation Using ICA for Face Recognition Robust to Local Distortion and Partial Occlusion
Frequency-Aware Feature Fusion for Dense Image Prediction
Deep Learning for Free-Hand Sketch: A Survey
A Bayesian Approach to Policy Recognition and State Representation Learning
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
Photometric Depth Super-Resolution
An Extension of Geman and Reynolds' Approach to Constrained Restoration and the Recovery of Discontinuities
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models
Probabilistic Modeling of Scene Dynamics for Applications in Visual Surveillance
Construction of Natural Language Sentence Acceptors by a Supervised-Learning Technique
Vehicle Perception From Satellite
StylizedGS: Controllable Stylization for 3D Gaussian Splatting
Correction to "Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models"
Low-Level Spatiochromatic Grouping for Saliency Estimation
Hybrid Open-Set Segmentation With Synthetic Negative Data
Shape-Based Measures Improve Scene Categorization
Human as Points: Explicit Point-Based 3D Human Reconstruction From Single-View RGB Images
A Hybrid Shared-Memory Parallel Max-Tree Algorithm for Extreme Dynamic-Range Images
Dynamic Programming Inference of Markov Networks from Finite Sets of Sample Strings
Clustering Tree-Structured Data on Manifold
MS-NeRF: Multi-Space Neural Radiance Fields
A Tensor-Based Algorithm for High-Order Graph Matching
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing
Prototype Extraction and Adaptive OCR
GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator
Large Graph Clustering With Simultaneous Spectral Embedding and Discretization
Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification
Construction of Iso-Contours, Bisectors, and Voronoi Diagrams on Triangulated Surfaces
A Maximum-Likelihood Surface Estimator for Dense Range Data
Coordination of Cluster Ensembles via Exact Methods
Joint A Contrario Ellipse and Line Detection
DVIS++: Improved Decoupled Framework for Universal Video Segmentation
Recognizing Mathematical Expressions Using Tree Transformation
Studies in Semi-Admissible Heuristics
Soft Color Segmentation and Its Applications
Veinerization: A New Shape Description for Flexible Skeletonization
Surface Deformation Models for Nonrigid 3D Shape Recovery
Reconstructing Convex Sets from Support Line Measurements
Automatic Solder Joint Inspection
Obituary Jean Claude Simon 1924 to 2000
Face Association for Videos Using Conditional Random Fields and Max-Margin Markov Networks
Open Set Face Recognition Using Transduction
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
Learning Support Correlation Filters for Visual Tracking
Multi-Derivational Parsing of Vague Languages - The New Paradigm of Syntactic Pattern Recognition
Optimal Visual Motion Estimation: A Note
Optimizing Partial Area Under the Top-k Curve: Theory and Practice
Complexity Measures of Supervised Classification Problems
Estimating Degradation Model Parameters Using Neighborhood Pattern Distributions: An Optimization Approach
A Top-Down Quadtree Traversal Algorithm
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning
Annotating Images by Mining Image Search Results
Perceptual Texture Similarity Estimation: An Evaluation of Computational Features
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
Algorithms for Detecting M-Dimensional Objects in N-Dimensional Spaces
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery
Keystate-Driven Long-Term Generation of Bimanual Object Manipulation Sequences
A Stereo Vision Technique Using Curve-Segments and Relaxation Matching
Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
From Intensity Profile to Surface Normal: Photometric Stereo for Unknown Light Sources and Isotropic Reflectances
Adversarial Training With Anti-Adversaries
Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models
Absorption-Based, Passive Range Imaging From Hyperspectral Thermal Measurements
Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based Approach
Fast Branch & Bound Algorithms for Optimal Feature Selection
Bayes Optimality in Linear Discriminant Analysis
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
The Consistent Labeling Problem: Part II
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Erratum to "A Bayesian Formulation of Coherent Point Drift"
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
A New Methodology for Gray-Scale Character Segmentation and Recognition
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking
Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning
Scalable Model-Based Clustering for Large Databases Based on Data Summarization