yusuke1997/dblp-id-title huggingface dataset:
Exploiting Ground Depth Estimation for Mobile Monocular 3D Object Detection
Automatic Eyeglasses Removal from Face Images
Segmentation and Factorization-Based Motion and Structure Estimation for Long Image Sequences
A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
Hierarchical Binary CNNs for Landmark Localization with Limited Resources
The Geometry of Differential Operators with Application to Image Processing
Joint Individual-Group Modeling for Tracking
A Bayesian Approach to Joint Feature Selection and Classifier Design
Towards Data-And Knowledge-Driven AI: A Survey on Neuro-Symbolic Computing
On Transforming Reinforcement Learning With Transformers: The Development Trajectory
Gaseous Object Detection
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation Using Deformable Shape Models
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation
Character Scaling by Contour Method
Human-Centric Relation Segmentation: Dataset and Solution
MOWA: Multiple-in-One Image Warping Model
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
A Combinatorial Approach for Classification of Patterns with Missing Information and Random Orientation
Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval
Detecting Coherent Groups in Crowd Scenes by Multiview Clustering
Context-Aware Visual Policy Network for Fine-Grained Image Captioning
Predicting Performance of Object Recognition
A Three-Dimensional Vision by Off-Shelf System with Multi-Cameras
On the Inverse Hough Transform
Knowledge Structuring and Constraint Satisfaction: The Mapsee Approach
On the Discriminatory Power of Adaptive Feed-Forward Layered Networks
A General Differentiable Mesh Renderer for Image-Based 3D Reasoning
On Recovering Hyperquadrics from Range Data
Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
DeepGCNs: Making GCNs Go as Deep as CNNs
Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Diffusion Models in Low-Level Vision: A Survey
On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers
Matching by Linear Programming and Successive Convexification
Detection of Text Regions From Digital Engineering Drawings
Multiseeded Segmentation Using Fuzzy Connectedness
Principal Graph and Structure Learning Based on Reversed Graph Embedding
Multiple Hypothesis Tracking for Cluttered Biological Image Sequences
Theory and Practice of Vector Quantizers Trained on Small Training Sets
Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency
Latent Class-Conditional Noise Model
Reference-Based Image and Video Super-Resolution via $C^{2}$-Matching
Self-Supervised Human Detection and Segmentation via Background Inpainting
Sparse Multi-View Consistency for Object Segmentation
Learning Hyperedge Replacement Grammars for Graph Generation
A Partially Supervised Learning Algorithm for Linearly Separable Systems
A Framework of Composite Functional Gradient Methods for Generative Adversarial Models
Gaussian Process-Mixture Conditional Heteroscedasticity
Regularly Truncated M-Estimators for Learning With Noisy Labels
Minimal Projective Reconstruction Including Missing Data
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
Deep Learning on Object-Centric 3D Neural Fields
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models
Spatiotemporal Segmentation Based on Region Merging
Random Permutation Set Reasoning
HBA Vision Architecture: Built and Benchmarked
RIEVL: Recursive Induction Learning in Hand Gesture Recognition
Graph Embedding Using Frequency Filtering
Multiview Panoramic Cameras Using Mirror Pyramids
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias
Hough Forests for Object Detection, Tracking, and Action Recognition
Bias in robust estimation caused by discontinuities and multiple structures
On the Location Error of Curved Edges in Low-Pass Filtered 2-D and 3-D Images
Reformulating Optical Flow to Solve Image-Based Inverse Problems and Quantify Uncertainty
An Algorithm for Learning Without External Supervision and Its Application to Learning Control Systems
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition
Approximate Graph Laplacians for Multimodal Data Clustering
Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information
Asymptotic Properties of Discrete Unitary Transforms
Structured Knowledge Distillation for Accurate and Efficient Object Detection
A Coarse-to-Fine Deformable Contour Optimization Framework
Robust Extrema Features for Time-Series Data Analysis
A Principled Design of Image Representation: Towards Forensic Tasks
Graph Anomaly Detection in Time Series: A Survey
Dataset Bias in Few-Shot Image Recognition
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis
Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
Interferences in Match Kernels
Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise Compensation
Handling Multi-Class Problem by Intuitionistic Fuzzy Twin Support Vector Machines Based on Relative Density Information
Recognition Using Hybrid Classifiers
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors
Maximization of Mutual Information for Offline Thai Handwriting Recognition
Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition
A Theoretical Comparison of Texture Algorithms
Behind Every Domain There is a Shift: Adapting Distortion-Aware Vision Transformers for Panoramic Semantic Segmentation
Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images
An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees
A Probabilistic Active Support Vector Learning Algorithm
Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class
Enhanced Multi-Scale Cross-Attention for Person Image Generation
Hybrid All-in-Focus Imaging From Neuromorphic Focal Stack
Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology
Reliable Determination of Object Pose from Line Features by Hypothesis Testing
A Two-Stage Framework for 3D FaceReconstruction from RGBD Images
Age Synthesis and Estimation via Faces: A Survey
Relationship-Embedded Representation Learning for Grounding Referring Expressions
The Normalized String Editing Problem Revisited
Uncertain Object Representation for Image-Based 3D Object Perception
Locating Perceptually Salient Points on Planar Curves
Dubbing Movies via Hierarchical Phoneme Modeling and Acoustic Diffusion Denoising
Learning Spatially Variant Linear Representation Models for Joint Filtering
Aggregating Local Image Descriptors into Compact Codes
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments
Division-Based Analysis of Symmetry and Its Application
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
Referring Camouflaged Object Detection
Synthesis of Statistical Knowledge from Time-Dependent Data
Attention in Reasoning: Dataset, Analysis, and Modeling
An Object-Oriented Progressive-Simplification-Based Vectorization System for Engineering Drawings: Model, Algorithm, and Performance
Multiscale Segmentation of Unstructured Document Pages Using Soft Decision Integration
Unsupervised Global and Local Homography Estimation With Motion Basis Learning
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
Robust and Accurate Vectorization of Line Drawings
Data Fusion and Multicue Data Matching by Diffusion Maps
Real-Time CNN Training and Compression for Neural-Enhanced Adaptive Live Streaming
MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
A Theoretical View of Linear Backpropagation and its Convergence
BRIEF: Computing a Local Binary Descriptor Very Fast
Discriminative Feature Co-Occurrence Selection for Object Detection
Variational Relational Point Completion Network for Robust 3D Classification
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers
Bridge the Intra-Class Gap: K-Shot Multi-Scale Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation
Cross-Modality Distillation for Multi-Modal Tracking
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
Computer-Access Security Systems Using Keystroke Dynamics
Keeping a Pan-Tilt-Zoom Camera Calibrated
Federated Learning Via Inexact ADMM
Correction to "Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours"
Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks
NAAQA: A Neural Architecture for Acoustic Question Answering
An On-Line Procedure for Recognition of Handprinted Alphanumeric Characters
Topology Preserving Relaxation Labeling for Nonrigid Point Matching
How Bad May Learning Curves Be?
Singularities of Principal Direction Fields from 3-D Images
Approximate Bayesian Multibody Tracking
Preserving Structure in Model-Free Tracking
From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild
Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose
Parsing with Probabilistic Strictly Locally Testable Tree Languages
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition
Recognition of Moving Objects Using Feature Signatures
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Dense Correspondences across Scenes and Scales
A Note on Park and Chin's Algorithm
Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling
Efficient Analysis of Overdispersed Data Using an Accurate Computation of the Dirichlet Multinomial Distribution
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Bridging Actions: Generate 3D Poses and Shapes In-Between Photos
Extending the Feature Vector for Automatic Face Recognition
Improving Gil-Werman Algorithm for Running Min and Max Filters
Randomized Clustering Forests for Image Classification
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation
Prediction of the Thermal Imaging Minimum Resolvable (Circle) Temperature Difference with Neural Network Application
Physics-Informed Guided Disentanglement in Generative Networks
Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
Human Motion Transfer With 3D Constraints and Detail Enhancement
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
A Knowledge-Based Approach for Script Recognition without Training
New Members of PAMI Editorial Board
New Methods for Picture Reconstruction: Recursive and Causal Techniques
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering
A Deterministic Approximation to Neural SDEs
Shape and Reflectance Estimation in the Wild
The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition
Some Defects in Finite-Difference Edge Finders
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
Frame-Rate Spatial Referencing Based on Invariant Indexing and Alignment with Application to Online Retinal Image Registration
A Video Database of Moving Faces and People
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Integral Ratio: A New Class of Global Thresholding Techniques for Handwriting Images
Designing Optimal Sequential Experiments for a Bayesian Classifier
Robust Depth Estimation Under Sensor Degradations: A Multi-Sensor Fusion Perspective
A Pose-Only Solution to Visual Reconstruction and Navigation
Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
Curve Parametrization by Moments
Point Matching under Large Image Deformations and Illumination Changes
Displacement Estimates Through Adaptive Affinities
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
Pattern Recognition as Conceptual Morphogenesis
3D Face Recognition under Expressions, Occlusions, and Pose Variations
Dynamic Unary Convolution in Transformers
Hypergraph-Based High-Order Correlation Analysis for Large-Scale Long-Tailed Data Classification
Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields
Gaussian Mean-Shift Is an EM Algorithm
Data Compression of the Kanji Character Patterns Digitized on the Hexagonal Mesh
A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory
Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations
FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements
A Model-Based Method for Rotation Invariant Texture Classification
Inference of Surfaces, 3D Curves, and Junctions From Sparse, Noisy, 3D Data
Sentence-Level Relation Semantics Learning via Contrastive Sentences
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection
Fast Design of Reduced-Complexity Nearest-Neighbor Classifiers Using Triangular Inequality
Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
Learning Texture Discrimination Rules in a Multiresolution System
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
Structural Descriptions and Inexact Matching
A Complete and Extendable Approach to Visual Recognition
Learning Discriminative Collections of Part Detectors for Object Recognition
Trinary-Projection Trees for Approximate Nearest Neighbor Search
A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
GAN-Based Domain Adaptation for Image-Aware Layout Generation in Advertising Poster Design
Unmixing Convolutional Features for Crisp Edge Detection
Object Recognition Using Shape-from-Shading
A Simulation-Based Estimator for Hidden Markov Random Fields
DeepIPR: Deep Neural Network Ownership Verification With Passports
Euclidean Skeletons of Digital Image and Volume Data in Linear Time by the Integer Medial Axis Transform
Parallel 2-D Convolution on a Mesh Connected Array Processor
Color Image Segmentation using Competitive Learning
Towards Enabling Binary Decomposition for Partial Multi-Label Learning
An Abstraction-Based Approach to 3-D Pose Determination from Range Images
A Graduated Assignment Algorithm for Graph Matching
Class-Wise Denoising for Robust Learning Under Label Noise
A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras
Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Hybrid Face Reflectance, Illumination, and Shape From a Single Image
Partial Multi-Label Learning With Noisy Label Identification
Slow Feature Analysis for Human Action Recognition
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision
PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model
Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images
Greedy Learning of Binary Latent Trees
Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval
Vision-Centric BEV Perception: A Survey
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares
Community Detection Using Restrained Random-Walk Similarity
Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network
Camera Self-Calibration from Unknown Planar Structures Enforcing the Multiview Constraints between Collineations
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
Tree-Structured Models for Efficient Multi-Cue Scene Labeling
Efficient Annotation of Vesicle Dynamics Video Microscopy
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
Feature-Based Detection of Facial Landmarks from Neutral and Expressive Facial Images
Online Feature Selection with Streaming Features
Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction
Effective Gaussian Mixture Learning for Video Background Subtraction
Discrete Optimization by Relational Constraint Satisfaction
A Biometric Identification System Based on Eigenpalm and Eigenfinger Features
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition
Probabilistic Framework for the Characterization of Surfaces and Edges in Range Images, with Application to Edge Detection
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary
A Spherical Representation for Recognition of Free-Form Surfaces
A Fast Scalable Algorithm for Discontinuous Optical Flow Estimation
Pixel2Mesh++: 3D Mesh Generation and Refinement From Multi-View Images
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks
Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives
Static Signature Synthesis: A Neuromotor Inspired Approach for Biometrics
Structure Evolution on Manifold for Graph Learning
Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
A Viewpoint Planning Strategy for Determining True Angles on Polyhedral Objects by Camera Alignment
Pixel Classification Based on Gray Level and Local "Busyness"
Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images
Biometric Identification through Hand Geometry Measurements
Synthesis and Recognition of Sequences
HPformer: Low-Parameter Transformer With Temporal Dependency Hierarchical Propagation for Health Informatics
Designing a Handwriting Reader
SIFT Flow: Dense Correspondence across Scenes and Its Applications
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
TCFormer: Visual Recognition via Token Clustering Transformer
Estimating 3D Egomotion from Perspective Image Sequence
Robust Histogram Construction from Color Invariants for Object Recognition
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees
Better Understanding Differences in Attribution Methods via Systematic Evaluations
Monocular 3D Reconstruction of Locally Textured Surfaces
Content and Style Aware Generation of Text-Line Images for Handwriting Recognition
Gauge Inspection Using Hough Transforms
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
NER-Net+: Seeing Motion at Nighttime With an Event Camera
Classemes and Other Classifier-Based Features for Efficient Object Categorization
Recursive Algorithms for Implementing Digital Image Filters
Language-Aware Vision Transformer for Referring Segmentation
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
A Sparse Texture Representation Using Local Affine Regions
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
Incremental Acquisition of a Three-Dimensional Scene Model from Images
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection
Robust Foreground Detection In Video Using Pixel Layers
Learning Semantic Part-Based Models from Google Images
Moments in Time Dataset: One Million Videos for Event Understanding
Line Fitting in a Noisy Image
Salient Object Detection with Recurrent Fully Convolutional Networks
Variational Autoencoders for Localized Mesh Deformation Component Analysis
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths
End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network
Guest Editorial: The Computational Face
Solving Satisfiability with Less Searching
Three-Dimensional Digital Line Segments
Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection
Directional Morphological Filtering
Paired Regions for Shadow Detection and Removal
DECA: A Discrete-Valued Data Clustering Algorithm
Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation
Probabilistic Multiscale Image Segmentation
Practical Compact Deep Compressed Sensing
Calibration by Correlation Using Metric Embedding from Nonmetric Similarities
SPTS v2: Single-Point Scene Text Spotting
Joint Image Filtering with Deep Convolutional Networks
Image-Based Separation of Reflective and Fluorescent Components Using Illumination Variant and Invariant Color
Fourier-Based and Rational Graph Filters for Spectral Processing
Multi-Camera Saliency
Learning Trans-Dimensional Random Fields with Applications to Language Modeling
CO-Net++: A Cohesive Network for Multiple Point Cloud Tasks at Once With Two-Stage Feature Rectification
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting
A Survey of Vectorization Methods in Topological Data Analysis
How Far 3D Shapes Can Be Understood from 2D Silhouettes
Adaptive Image Segmentation With Distributed Behavior-Based Agents
Optimally Small Operator Supports for Fully Parallel Thinning Algorithms
Representation Learning by Rotating Your Faces
Robust Linear and Support Vector Regression
A Euclidean Distance Transform Using Grayscale Morphology Decomposition
CASIA-E: A Large Comprehensive Dataset for Gait Recognition
Learning Hybrid Image Templates (HIT) by Information Projection
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets
A Differential Approach for Gaze Estimation
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
Learning to Match Anchors for Visual Object Detection
Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning
Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
A Novel Document Ranking Method Using the Discrete Cosine Transform
Jointly Learning Heterogeneous Features for RGB-D Activity Recognition
Deep Learning for Instance Retrieval: A Survey
On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images