yusuke1997/dblp-id-title huggingface dataset:
Fast Surface Interpolation Using Hierarchical Basis Functions
Gauging-$\delta$δ: A Non-Parametric Hierarchical Clustering Algorithm
Multivariate Classification through Adaptive Delaunay-Based C0 Spline Approximation
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
Extended $T$T: Learning With Mixed Closed-Set and Open-Set Noisy Labels
Analysis of Accretion and Deletion at Boundaries in Dynamic Scenes
Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency
Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
Adaptive Search-and-Training for Robust and Efficient Network Pruning
A Pyramid-Based Approach to Segmentation Applied to Region Matching
DeriveNet for (Very) Low Resolution Image Classification
Disentangled Representation Learning
A Model-Based Sequence Similarity with Application to Handwritten Word Spotting
Instance and Panoptic Segmentation Using Conditional Convolutions
Federated Learning of Generalized Linear Causal Networks
Likelihood Ratio-Based Biometric Score Fusion
Three-Dimensional Ultrasonic Vision for Robotic Applications
DeepTensor: Low-Rank Tensor Decomposition With Deep Network Priors
Versatile Weight Attack via Flipping Limited Bits
Structure of Multiple Mirror System From Kaleidoscopic Projections of Single 3D Point
Robust Factorization
Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition
Laplacian Scale-Space Behavior of Planar Curve Corners
FVQA: Fact-Based Visual Question Answering
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
A Novel Word Spotting Method Based on Recurrent Neural Networks
A Fast Correlation Method for Scale-and Translation-Invariant Pattern Recognition
A Method for Objective Edge Detection Evaluation and Detector Parameter Selection
SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN
Segmenting Objects From Relational Visual Data
Distance Learning for Similarity Estimation
Attribute-Based Classification for Zero-Shot Visual Object Categorization
Matching by Monotonic Tone Mapping
Nonconvex Online Support Vector Machines
Using Perceptual Organization to Extract 3-D Structures
Memory Uncertainty Learning for Real-World Single Image Deraining
Fitting Parameterized Three-Dimensional Models to Images
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset
Spatio-Temporal Alignment of Sequences
Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field
Pruning at Initialization - A Sketching Perspective
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
Query Specific Rank Fusion for Image Retrieval
Supervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques
Optimal Decomposition of Convex Morphological Structuring Elements for 4-Connected Parallel Array Processors
Estimation of the Parameters of a Gaussian Mixture Using the Method of Moments
Pattern Recognition Properties of Various Feature Spaces for Higher Order Neural Networks
Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets
Finite Prolate Spheroidal Sequences and Their Applications I: Generation and Properties
Large-Scale Discovery of Spatially Related Images
On Stereo Confidence Measures for Global Methods: Evaluation, New Model and Integration into Occupancy Grids
Design of Multimodal Dissimilarity Spaces for Retrieval of Video Documents
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling
A Statistical-Heuristic Feature Selection Criterion for Decision Tree Induction
Image Enhancement for Segmentation by Self-Induced Autoregressive Filtering
Direct Estimation of Range Flow on Deformable Shape From a Video Rate Range Camera
Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views
A New Cluster Isolation Criterion Based on Dissimilarity Increments
A Variational Framework for Multiregion Pairwise-Similarity-Based Image Segmentation
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition
The Optimum Class-Selective Rejection Rule
CROification: Accurate Kernel Classification with the Efficiency of Sparse Linear SVM
Singularity Theory and Phantom Edges in Scale Space
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos
Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach
Learning Bias in Neural Networks and an Approach to Controlling Its Effect in Monotonic Classification
TRACK: A New Method From a Re-Examination of Deep Architectures for Head Motion Prediction in 360${}^{\circ }$∘ Videos
Pose-Driven Compression for Dynamic 3D Human via Human Prior Models
Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
Structure-Aware Data Consolidation
Nonlinear Modeling of Scattered Multivariate Data and Its Application to Shape Change
Semi-Supervised Coupled Thin-Plate Spline Model for Rotation Correction and Beyond
Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning
Multiple Object Tracking Using K-Shortest Paths Optimization
A Novel Feature Selection Methodology for Automated Inspection Systems
Deep Collaborative Embedding for Social Image Understanding
GhostingNet: A Novel Approach for Glass Surface Detection With Ghosting Cues
Interpreting Low-Level Vision Models With Causal Effect Maps
Incremental Learning Through Deep Adaptation
Generative Variational-Contrastive Learning for Self-Supervised Point Cloud Representation
Vision-Based Force Measurement
Optimising for Interpretability: Convolutional Dynamic Alignment Networks
A New Probabilistic Relaxation Scheme
On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild
Searching a High Performance Feature Extractor for Text Recognition Network
Modeling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions
Neural Architecture Search via Proxy Validation
Linear N-Point Camera Pose Determination
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion
Deep High-Resolution Representation Learning for Visual Recognition
MRF Energy Minimization and Beyond via Dual Decomposition
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
Intraclass Retrieval of Nonrigid 3D Objects: Application to Face Recognition
On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach
Convergence and Application of Online Active Sampling Using Orthogonal Pillar Vectors
Cost-Sensitive Face Recognition
Equidistant Fish-Eye Calibration and Rectification by Vanishing Point Extraction
E2SRI: Learning to Super-Resolve Intensity Images From Events
Robust Model Fitting Using Higher Than Minimal Subset Sampling
Evaluation of Methods for Ridge and Valley Detection
Image Distortion Analysis Using Polynomial Series Expansion
Force-Based Representation for Non-Rigid Shape and Elastic Model Estimation
Uniform Partitioning of Data Grid for Association Detection
Robust Estimation of Adaptive Tensors of Curvature by Tensor Voting
Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE
Single-View-Point Omnidirectional Catadioptric Cone Mirror Imager
Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images
Generating Object Descriptions for Model Retrieval
3-D Surface Description from Binocular Stereo
A Variational Approach to Degraded Document Enhancement
A Neural Network Approach to CSG-Based 3-D Object Recognition
MILO: Multi-Bounce Inverse Rendering for Indoor Scene With Light-Emitting Objects
Exposure Trajectory Recovery From Motion Blur
SurfelMeshing: Online Surfel-Based Mesh Reconstruction
Content-Aware Unsupervised Deep Homography Estimation and its Extensions
Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
On the Correlation Among Edge, Pose and Parsing
BuresNet: Conditional Bures Metric for Transferable Representation Learning
What Makes a Photograph Memorable?
Open Set Domain Adaptation for Image and Action Recognition
Guaranteed Coverage Prediction Intervals With Gaussian Process Regression
Spirograph Theory: A Framework for Calculations on Digitized Straight Lines
Towards Visual-Prompt Temporal Answer Grounding in Instructional Video
Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation
Learning to Remove Rain in Video With Self-Supervision
Simultaneous Optimal Segmentation and Model Estimation of Nonstationary Noisy Images
Pattern Vectors from Algebraic Graph Theory
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models
Shadow Detection in Remote Sensing Images Based on Spectral Radiance Separability Enhancement
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Patch-Based Stereo in a General Binocular Viewing Geometry
CPR++: Object Localization via Single Coarse Point Supervision
The State of the Art in Online Handwriting Recognition
The First Stage in Two-Stage Template Matching
FSD V2: Improving Fully Sparse 3D Object Detection With Virtual Voxels
Online Learning of Correspondences between Images
Learning Mesh Representations via Binary Space Partitioning Tree Networks
Corrections to 'Parts of Visual Form: Computational Aspects'
Trajectory Space: A Dual Representation for Nonrigid Structure from Motion
Revisiting Viewing Graph Solvability: An Effective Approach Based on Cycle Consistency
Visual Scanpath Prediction Using IOR-ROI Recurrent Mixture Density Network
Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model
Sparse and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition
Adversarial Robustness Via Fisher-Rao Regularization
Theoretical and Experimental Analysis of a Two-Stage System for Classification
Unsupervised Person Re-Identification With Wireless Positioning Under Weak Scene Labeling
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion
Multidimensional Scaling for Matching Low-Resolution Face Images
VQ-FedDiff: Federated Learning Algorithm of Diffusion Models With Client-Specific Vector-Quantized Conditioning
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Simple Calibration Algorithm for High-Distortion Lens Camera
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling
A State-Based Approach to the Representation and Recognition of Gesture
Data-Efficient Learning via Minimizing Hyperspherical Energy
The Approximation of Image Blur Restoration Filters by Finite Impulse Responses
Line-Drawing Interpretation: Straight Lines and Conic Sections
Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships
Explanatory Object Part Aggregation for Zero-Shot Learning
Map-Based Probabilistic Visual Self-Localization
Learning Enriched Features for Fast Image Restoration and Enhancement
Integrating Vision Modules: Stereo, Shading, Grouping, and Line Labeling
Geometric Separation of Partially Overlapping Nonrigid Objects Applied to Automatic Chromosome Classification
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation
Copula Based Classifier Fusion Under Statistical Dependence
Motion Segmentation and Depth Ordering Using an Occlusion Detector
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization
A Closed-Form Solution to Natural Image Matting
Contour Map Registration Using Fourier Descriptors of Gradient Codes
A Minimum Description Length Model for Recognizing Objects with Variable Appearances (The VAPOR model)
Estimation of Displacements from Two 3-D Frames Obtained From Stereo
How to Complete Performance Graphs in Content-Based Image Retrieval: Add Generality and Normalize Scope
A Feature-Based Technique for Joint Linear Estimation of High-Order Image-to-Mosaic Transformations: Mosaicing the Curved Human Retina
Scaling up Multimodal Pre-Training for Sign Language Understanding
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision
Multiple Resolution Texture Analysis and Classification
Associate Editors Join TPAMI
Discriminative Bayesian Dictionary Learning for Classification
Robust Pose Estimation from a Planar Target
Instance Shadow Detection With a Single-Stage Detector
Content-Aware Warping for View Synthesis
NeuralRecon: Real-Time Coherent 3D Scene Reconstruction From Monocular Video
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications
Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning
Discriminant Subspace Analysis: A Fukunaga-Koontz Approach
Linear Dependency Modeling for Classifier Fusion and Feature Combination
Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors
Incoming EIC Editorial
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis
Mobile Robot Localization Using Sonar
Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces
Bringing Equity to Classification: Domain Generalization for Domain-Linked Classes
Image Smoothing Based on Neighbor Linking
MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model
Active Camera Calibration for a Head-Eye Platform Using the Variable State-Dimension Filter
LP Relaxation of the Potts Labeling Problem Is as Hard as Any Linear Program
Hierarchical Attention-Based Age Estimation and Bias Analysis
SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction
Few-Shot Font Generation With Weakly Supervised Localized Representations
Local Feature Selection for Data Classification
A Curve Fitting Problem and Its Application in Modeling Objects in Monocular Image Sequences
Incorporating Illumination Constraints in Deformable Models for Shape from Shading and Light Direction Estimation
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching
Multi-Target Tracking by Discrete-Continuous Energy Minimization
Variational Data-Free Knowledge Distillation for Continual Learning
A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis
$\ell _{1}$ℓ1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere
Image Stitching Using Structure Deformation
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Problem Reduction Representation for the Linguistic Analysis of Waveforms
An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion
Syntactic Decision Rules for Recognition of Spoken Words and Phrases Using a Stochastic Automaton
Learning by Seeing More Classes
Deep Spatial-Angular Regularization for Light Field Imaging, Denoising, and Super-Resolution
On-the-Fly Modulation for Balanced Multimodal Learning
Spherical Hashing: Binary Code Embedding with Hyperspheres
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Dynamic Support Network for Few-Shot Class Incremental Learning
An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition
MARCOnI - ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes
Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
Estimation of Object Motion Parameters from Noisy Images
Cost Function Unrolling in Unsupervised Optical Flow
Out-of-Sample Extrapolation of Learned Manifolds
Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler
Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection
Moving-Target Search: A Real-Time Search for Changing Goals
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Cooperative Training of Descriptor and Generator Networks
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering
Histogram of Oriented Principal Components for Cross-View Action Recognition
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution
Learning to Detect Objects in Images via a Sparse, Part-Based Representation
A Unified Model for Probabilistic Principal Surfaces
A New Parameterization of Digital Straight Lines
Regularizing Deep Networks With Semantic Data Augmentation
Application of the Conditional Population-Mixture Model to Image Segmentation
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax
Image Analysis Using Multigrid Relaxation Methods
Weakly-Supervised Video Object Grounding via Causal Intervention
Collision Detection of a Moving Polygon in the Presence of Polygonal Obstacles in the Plane
An Optimization Methodology for Document Structure Extraction on Latin Character Documents
Parameterized Hamiltonian Learning With Quantum Circuit
Offline Loop Investigation for Handwriting Analysis
Stereo Time-of-Flight with Constructive Interference
Progressive Representation Adaptation for Weakly Supervised Object Localization
DeepMIH: Deep Invertible Network for Multiple Image Hiding
Edge and Line Feature Extraction Based on Covariance Models
Split-GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance
Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering
Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach
Robust Rotation Angle Estimator
Machine Vision Applied to Vehicle Guidance
Analysis and Synthesis of Facial Image Sequences Using Physical and Anatomical Models
Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments
View Synthesis of Dynamic Scenes Based on Deep 3D Mask Volume
Motion Estimation Via Cluster Matching
Correction for the Dislocation of Curved Surfaces Caused by the PSF in 2D and 3D CT Images
VCells: Simple and Efficient Superpixels Using Edge-Weighted Centroidal Voronoi Tessellations
Visual Image Retrieval by Elastic Matching of User Sketches
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
Patch-Based Uncalibrated Photometric Stereo Under Natural Illumination
NeX360: Real-Time All-Around View Synthesis With Neural Basis Expansion
Online Recognition of Chinese Characters: The State-of-the-Art
Boosting Photon-Efficient Image Reconstruction With A Unified Deep Neural Network
Towards OOD Object Detection With Unknown-Concept Guided Feature Diffusion
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Texture Classification Using Windowed Fourier Filters
S-CNN: Subcategory-Aware Convolutional Networks for Object Detection
Three-Dimensional Skeletonization: Principle and Algorithm
K-Nearest Neighbor Finding Using MaxNearestDist
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
Discriminative Common Vectors for Face Recognition
Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement
Generating Discriminating Cartoon Faces Using Interacting Snakes
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis
Human Activity Recognition Using Multidimensional Indexing
Sign Language Recognition by Combining Statistical DTW and Independent Classification
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data
What Makes Deviant Places?
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
A Robust O(n) Solution to the Perspective-n-Point Problem
Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models
Paying Attention to Video Object Pattern Understanding
View-Aware Geometry-Structure Joint Learning for Single-View 3D Shape Reconstruction
Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering
A Class of Random Fields on Complete Graphs with Tractable Partition Function
Random Cycle Loss and Its Application to Voice Conversion
An Experimental Comparison of Range Image Segmentation Algorithms
Character Recognition Based on Attribute-Dependent Programmed Grammar
Digital Image Enhancement and Noise Filtering by Use of Local Statistics
Spectrum-Enhanced Graph Attention Network for Garment Mesh Deformation
Vision-Based Analysis of Small Groups in Pedestrian Crowds
Learning Consensus Representation for Weak Style Classification
GaussNav: Gaussian Splatting for Visual Navigation
I-Filtering: Implicit Filtering for Learning Neural Distance Functions From 3D Point Clouds
Recomputation of the Dense Layers for Performance Improvement of DCNN
Decision Rule for Pattern Classification by Integrating Interval Feature Values
Feature Selection with Kernel Class Separability
Manifold Based Multi-View K-Means
Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation
Inherent Bias and Noise in the Hough Transform
A Real-Time Processor for the Hough Transform
An Algebraic Description of Painted Digital Pictures
Parallelizing Image Feature Extraction on Coarse-Grain Machines
Exploiting Unsupervised and Supervised Constraints for Subspace Clustering
Correction to "DCT-Based Iris Recognition"
Revisiting Image-Language Networks for Open-Ended Phrase Detection
Recognizing Articulated Objects Using a Region-Based Invariant Transform
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Globally Convergent Autocalibration Using Interval Analysis
Convolutional Prototype Network for Open Set Recognition
Bi-Polynomial Modeling of Low-Frequency Reflectances
Strong Markov Random Field Model
A Search-and-Validate Method for Face Identification from Single Line Drawings
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Signature Detection and Matching for Document Image Retrieval
Explaining 'Explaining Away'
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction
Incremental Fusion of Structure-from-Motion and GPS Using Constrained Bundle Adjustments
Learning Compressible 360$^{\circ }$∘ Video Isomers
Matrix Completion with Deterministic Sampling: Theories and Methods
A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization
Deep Learning for Visual Speech Analysis: A Survey
Prompt-Based Multi-Interest Learning Method for Sequential Recommendation