yusuke1997/dblp-id-title huggingface dataset:
Covariance discriminative learning: A natural and efficient approach to image set classification
Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning
Occlusion-robust Face Alignment using A Viewpoint-invariant Hierarchical Network Architecture
Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
Automatic registration of LIDAR and optical images of urban scenes
The Power of Tiling for Small Object Detection
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
Recovering shape from a single image of a mirrored surface from curvature constraints
Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model
A Simple Episodic Linear Probe Improves Visual Recognition in the Wild
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
Dynamic Updates for Language Adaptation in Visual-Language Tracking
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform
Data Distillation: Towards Omni-Supervised Learning
3D Semantic Parsing of Large-Scale Indoor Spaces
Residual Pixel Attention Network for Spectral Reconstruction from RGB Images
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Latent Embeddings for Zero-Shot Classification
Domain Adaptive Image-to-Image Translation
3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Boosting Few-Shot Learning With Adaptive Margin Loss
Robust guidewire tracking in fluoroscopy
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving
Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
Explainability for Content-Based Image Retrieval
ExACT: Language-Guided Conceptual Reasoning and Uncertainty Estimation for Event-Based Action Recognition and More
A Papier-Mâché Approach to Learning 3D Surface Generation
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
Training Sparse Neural Networks
Geometry-Aware Deep Network for Single-Image Novel View Synthesis
Shape discovery from unlabeled image collections
Listen to Look: Action Recognition by Previewing Audio
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
A Fine-grained Artist Identification Method for Authentication and Attribution of Drawings using Hatching Lines
Deep Metric Learning via Facility Location
Edge-Constrained Joint View Triangulation for Image Interpolation
A Distractor-Aware Memory for Visual Object Tracking with SAM2
Implicit Sample Extension for Unsupervised Person Re-Identification
NTIRE 2024 Image Shadow Removal Challenge Report
Immersive and perceptual human-computer interaction using computer vision techniques
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild
A data set for quantitative motion analysis
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking
The First Automatic Method for Mapping the Pothole in Seagrass
End-to-End Representation Learning for Correlation Filter Based Tracking
GRASP Recurring Patterns from a Single View
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains
Probabilistic visibility for multi-view stereo
Holoported Characters: Real-Time Free-Viewpoint Rendering of Humans from Sparse RGB Cameras
Learning Vision from Models Rivals Learning Vision from Data
Photosequencing of Motion Blur using Short and Long Exposures
The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors
Learning Parallax Attention for Stereo Image Super-Resolution
Structured output-associative regression
Joint tracking and segmentation of multiple targets
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior
Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding
Category-Aware Transformer Network for Better Human-Object Interaction Detection
Learning shift-invariant sparse representation of actions
Modelling and correction of multipath interference in time of flight cameras
CogAgent: A Visual Language Model for GUI Agents
Shape prior segmentation of multiple objects with graph cuts
Nonparametric Belief Propagation
Disentangling Neuron Representations with Concept Vectors
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
LSVC: A Learning-based Stereo Video Compression Framework
Local Features, All Grown Up
Non-Line-of-Sight Imaging with Signal Superresolution Network
Exploring the Impact of Dataset Bias on Dataset Distillation
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
GIFnets: Differentiable GIF Encoding Framework
Big Little Icons
Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic
"Who are you?" - Learning person specific classifiers from video
Learning to Learn Single Domain Generalization
CadenceRAG: Context-Aware and Dependency-Enhanced Retrieval Augmented Generation for Holistic Video Understanding
CoCoNets: Continuous Contrastive 3D Scene Representations
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
What Do You Do When You Know That You Don't Know?
Accurate Optical Flow via Direct Cost Volume Processing
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
A biquadratic reflectance model for radiometric image analysis
Interactive complexity control and high-speed stereo matching
Accurately Estimating Sherd 3D Surface Geometry with Application to Pot Reconstruction
Online Multi-object Tracking via Structural Constraint Event Aggregation
Text-Driven Image Editing via Learnable Regions
Scene Text Telescope: Text-Focused Scene Image Super-Resolution
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Few-Shot Learning With Localization in Realistic Settings
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection
Open-World Human-Object Interaction Detection via Multi-Modal Prompts
ACL: Activating Capability of Linear Attention for Image Restoration
StrongSiamTracker: A Siamese Tracker with Dynamic Global Detection for Robust Anti-UAV Tracking
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
PDE Acceleration for Active Contours
The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
Tracking Non-Stationary Appearances and Dynamic Feature Selection
Natural Image Noise Dataset
Color Constancy using Natural Image Statistics
TexOct: Generating Textures of 3D Models with Octree-based Diffusion
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints
On the Quotient Representation for the Essential Manifold
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
LLaVA-SCo: Teach Vision Language Models to Self-Correct
Learning with Noisy Triplet Correspondence for Composed Image Retrieval
A Mathematical Comparison of Point Detectors
A Style-aware Discriminator for Controllable Image Translation
Generalized group sparse classifiers with application in fMRI brain decoding
A projector-based movable hand-held display system
A perceptually motivated online benchmark for image matting
Graph Cut Based Continuous Stereo Matching Using Locally Shared Labels
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Monocular RGB Hand Pose Inference From Unsupervised Refinable Nets
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Learning rules for 3D object recognition
Prior-Less Compressible Structure from Motion
SSGVS: Semantic Scene Graph-to-Video Synthesis
Background Line Detection with A Stochastic Model
Segmentation with Invisible Keying Signal
Figure-ground segmentation improves handled object recognition in egocentric video
Parametric Implicit Face Representation for Audio-Driven Facial Reenactment
Distilling Long-tailed Datasets
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-Aware Panoramic Semantic Segmentation
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
Combining Regions and Patches for Object Class Localization
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present
LDMNet: Low Dimensional Manifold Regularized Neural Networks
FlexiCurve: Flexible Piecewise Curves Estimation for Photo Retouching
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model
Category Differences Matter: A Broad Analysis of Inter-Category Error in Semantic Segmentation
SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
Event-Conditioned Dual-Modal Fusion for Motion Deblurring
Occluded Pedestrian Detection Through Guided Attention in CNNs
VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Magic Layouts: Structural Prior for Component Detection in User Interface Designs
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Density-preserving Deep Point Cloud Compression
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
sLLE: Spherical locally linear embedding with applications to tomography
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
RepNet: Efficient On-Device Learning via Feature Reprogramming
Appearance-Guided Particle Filtering for Articulated Hand Tracking
Optimal graph learning with partial tags and multiple features for image and video annotation
A bi-illuminant dichromatic reflection model for understanding images
Markov Weight Fields for face sketch synthesis
Towards Open-Set Object Detection and Discovery
4th Multi-modal Aerial View Image Challenge: SAR Classification - PBVS 2025
Learning Intelligent Dialogs for Bounding Box Annotation
Finding AI-Generated Faces in the Wild
A tiered move-making algorithm for general pairwise MRFs
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Learning partially-observed hidden conditional random fields for facial expression recognition
Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
Using Lexical Similarity in Handwritten Word Recognition
Appearance learning by adaptive Kalman filters for FLIR tracking
Prototyping a light field display involving direct observation of a video projector array
CASP: Consistency-aware Audio-induced Saliency Prediction Model for Omnidirectional Video
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
On the utility of extended fingerprint features: A study on pores
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
Ray Markov Random Fields for image-based 3D modeling: Model and efficient inference
Categorization in natural time-varying image sequences
Fingerspelling Detection in American Sign Language
Empowering LLMs to Understand and Generate Complex Vector Graphics
Motion Part Regularization: Improving action recognition via trajectory group selection
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
Information Retrieval Based on OCR Errors in Scanned Documents
Unsupervised Person Image Synthesis in Arbitrary Poses
Lp-Norm IDF for Large Scale Image Search
A branch-and-bound algorithm for globally optimal hand-eye calibration
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
Curve Reconstruction via the Global Statistics of Natural Curves
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
Novel observation model for probabilistic object tracking
An Occlusion-Aware Multi-Target Multi-Camera Tracking System
Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning
PatchCut: Data-driven object segmentation via local shape transfer
Coupled Spectral Regression for matching heterogeneous faces
The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
Kernel-Based 3D Tracking
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
Automated Screening of Job Candidate Based on Multimodal Video Processing
A Slit Scanning Depth of Route Panorama from Stationary Blur
Color image segmentation using Markov random fields
Low-rate Image Compression with Super-resolution Learning
Deep neural networks for anatomical brain segmentation
MMTM: Multimodal Transfer Module for CNN Fusion
Square Root Bundle Adjustment for Large-Scale Reconstruction
A Flag Decomposition for Hierarchical Datasets
Edge Detection Techniques for Quantifying Spatial Imaging System Performance and Image Quality
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
Named Entity Driven Zero-Shot Image Manipulation
MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis
Two-View Motion Segmentation from Linear Programming Relaxation
Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
Pose reconstruction with an uncalibrated Computed Tomography imaging device
BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks
Stochastic Sparse Subspace Clustering
How Efficient Are Today's Continual Learning Algorithms?
Light Field Blind Motion Deblurring
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
Learning a scene contextual model for tracking and abnormality detection
Reducing Steganography In Cycle-consistency GANs
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping
Deep Image Compression via End-to-End Learning
Uncertainty update and dynamic search window for model-based object recognition
Structure from Small Baseline Motion with Central Panoramic Cameras
EnliveningGS: Active Locomotion of 3DGS
Rep ViT: Revisiting Mobile CNN From ViT Perspective
Pruning as a Binarization Technique
Using Genetic Algorithms to Improve Matching Performance of Changeable biometrics from Combining PCA and ICA Methods
Vit4V: a Video Classification Method for the Detection of Varroa Destructor from Honeybees
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
When to Prune? A Policy towards Early Structural Pruning
Unsupervised Universal Image Segmentation
A descriptive pattern recognition system applied to pictorial patterns where the discriminating information is carried in the object shape
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Unconstrained Salient Object Detection via Proposal Subset Optimization
Learning to Find Good Models in RANSAC
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
Towards Evaluating the Robustness of Visual State Space Models
A dual-layer estimator architecture for long-term localization
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
Extending global-local view alignment for self-supervised learning with remote sensing imagery
A globally optimal data-driven approach for image distortion estimation
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
What is the spatial extent of an object?
Neural Topological SLAM for Visual Navigation
Filtering Internet image search results towards keyword based category recognition
Imaging the Finger Force Direction
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Behind the Scenes: Density Fields for Single View Reconstruction
Human vs. Computer in Scene and Object Recognition
Fixed-Point Back-Propagation Training
Person Re-identification Method Based on Color Attack and Joint Defence
Bayesian inference for neighborhood filters with application in denoising
Simulated Quantization, Real Power Savings
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
Weakly Supervised Person Re-Identification
CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
Face Forensics in the Wild
Comparing Correspondences: Video Prediction with Correspondence-wise Losses
Rigid Motion Segmentation Using Randomized Voting
Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph
Energy Based Multi-model Fitting & Matching for 3D Reconstruction
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
Uncertainty-Aware Camera Pose Estimation From Points and Lines
Representing and Discovering Adversarial Team Behaviors Using Player Roles
RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
Probabilistic Reasoning Models for Face Recognition
Rolling Shutter Absolute Pose Problem with Known Vertical Direction
An Efficient Recursive Factorization Method for Determining Structure from Motion
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Cross-Modal Speaker Verification and Recognition: A Multilingual Perspective
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples
Recursive compositional models: Representation, learning, and inference
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
Online learning of patch perspective rectification for efficient object detection
Poselet Key-Framing: A Model for Human Activity Recognition
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
A Local Region-based Approach to Gender Classi.cation From Face Images
Depth Camera Based on Color-Coded Aperture
The Bas-Relief Ambiguity
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
CRIS: CLIP-Driven Referring Image Segmentation
Dense Network Expansion for Class Incremental Learning
Colorizing Near Infrared Images Through a Cyclic Adversarial Approach of Unpaired Samples
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
Model Adaptation: Unsupervised Domain Adaptation Without Source Data
Tracking deformable surfaces with optical flow in the presence of self occlusion in monocular image sequences
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Learning to Render Novel Views from Wide-Baseline Stereo Pairs
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
Pixel-Adaptive Convolutional Neural Networks
Spatial Information in Multiresolution Histograms
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Trapping Light for Time of Flight
Recognition by using an active/space-variant sensor
3D shape estimation from 2D landmarks: A convex relaxation approach
Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
Learning a Factorized Segmental Representation of Far-Field Tracking Data
Behavioral Analysis of Vision-and-Language Navigation Agents
Diversity-Aware Meta Visual Prompting
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling
Semantically Aligned Bias Reducing Zero Shot Learning
3D Structure Modeling of Dense Capillaries by Multi-objects Tracking
ArtTrack: Articulated Multi-Person Tracking in the Wild
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
Estimating Illumination Direction from Textured Images
New insights into Laplacian similarity search
3DAC: Learning Attribute Compression for Point Clouds
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Coded exposure imaging for projective motion deblurring
Manhattan Scene Understanding via XSlit Imaging
Sample-Specific SVM Learning for Person Re-identification
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
Multi-Object Tracking Using Dynamical Graph Matching
Attentive Weights Generation for Few Shot Learning via Information Maximization
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures
Morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis
Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches
An Occupant Classification System Eigen Shapes or Knowledge-Based Features
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images