yusuke1997/dblp-id-title huggingface dataset:
Instruction-based Image Manipulation by Watching How Things Move
An Indoor and Outdoor, Multimodal, Multispectral and Multi-Illuminant Database for Face Recognition
MixFormer: Mixing Features across Windows and Dimensions
Contour cut: Identifying salient contours in images by solving a Hermitian eigenvalue problem
CFA: Class-Wise Calibrated Fair Adversarial Training
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling
Vision + Language Applications: A Survey
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
Shape Robust Text Detection With Progressive Scale Expansion Network
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
Object-Specific Figure-Ground Segregation
Learning to localize detected objects
Emotion Recognition Using Transformers with Random Masking
Analyzing Computer Vision Data - The Good, the Bad and the Ugly
On 3-D Surface Reconstruction Using Shape from Shadows
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis
Generative versus Discriminative Methods for Object Recognition
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment
Lite-MDETR: A Lightweight Multi-Modal Detector
SmallBigNet: Integrating Core and Contextual Views for Video Classification
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning
Estimating optical properties of layered surfaces using the spider model
Efficient Scene Layout Aware Object Detection for Traffic Surveillance
Using Ripley's K-function to improve graph-based clustering techniques
Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
WonderJourney: Going from Anywhere to Everywhere
Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
Accurate localization by fusing images and GPS signals
SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos
Efficient object localization using Convolutional Networks
Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements
Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment
Deep Factorized Metric Learning
MPViT: Multi-Path Vision Transformer for Dense Prediction
Deep Level Sets for Salient Object Detection
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
LFMix: A Lightweight Hybrid Architecture for Light Field Super-Resolution
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
CAT-NeRF: Constancy-Aware Tx 2 Former for Dynamic Body Modeling
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
Scale-Recurrent Network for Deep Image Deblurring
Global and local isometry-invariant descriptor for 3D shape comparison and partial matching
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Engaging Image Captioning via Personality
MEGANE: Morphable Eyeglass and Avatar Network
Scale-hierarchical 3D object recognition in cluttered scenes
Dynamic Neural Relational Inference for Forecasting Trajectories
Temporally Steered Gaussian Attention for Video Understanding
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Rethinking Channel Dimensions for Efficient Model Design
EvDiG: Event-guided Direct and Global Components Separation
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
End-to-End Instance Segmentation with Recurrent Attention
Region-Based Discriminative Feature Pooling for Scene Text Recognition
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models
Semi-supervised Node Splitting for Random Forest Construction
PointGuard: Provably Robust 3D Point Cloud Classification
Instance Guided Proposal Network for Person Search
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
Exemplar-Based Open-Set Panoptic Segmentation Network
Learnable Motion Coherence for Correspondence Pruning
A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
Evaluating the Impact of Wide-Angle Lens Distortion on Learning-Based Depth Estimation
PLOP: Learning Without Forgetting for Continual Semantic Segmentation
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation
Single Image Dehazing via Conditional Generative Adversarial Network
Online sketching hashing
Weighted Substructure Mining for Image Analysis
Effective learning-based illuminant estimation using simple features
Graph Attention Tracking
Backdoor Defense via Deconfounded Representation Learning
Integral Fast Fourier Color Constancy
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition
Towards Robust Adaptive Object Detection under Noisy Annotations
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Recognizing Groceries in situ Using in vitro Training Data
Variational Distance-Dependent Image Restoration
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Memory-Attended Recurrent Network for Video Captioning
Modeling pixel means and covariances using factorized third-order boltzmann machines
Decoupling Human and Camera Motion from Videos in the Wild
Architecture and Performance of the HI-Space Projector-Camera Interface
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction
Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
Maximum weight cliques with mutex constraints for video object segmentation
Learning Temporal Sequence Model from Partially Labeled Data
TEA: Test-Time Energy Adaptation
Predator: Registration of 3D Point Clouds With Low Overlap
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
Automatic Segmentation of MR Brain Images Using Spatial-Varying Gaussian Mixture and Markov Random Field Approach
Macro-cuboïd based probabilistic matching for lip-reading digits
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction
WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
Accidental Light Probes
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
Model based region segmentation using cooccurrence matrices
Learning Saliency Propagation for Semi-Supervised Instance Segmentation
Learning Cross-Domain Information Transfer for Location Recognition and Clustering
Probabilistic Tracking of Motion Boundaries with Spatiotemporal Predictions
Illumination Correction for Content Analysis in Uterine Cervix Images
Scale Efficient Training for Large Datasets
Clothes-Changing Person Re-identification with RGB Modality Only
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
Learning Collections of Part Models for Object Recognition
Conformal Prediction for Zero-Shot Models
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
Comparative object similarity for improved recognition with few or no examples
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain
Combining Top-Down and Bottom-Up Segmentation
Mirror Surface Reconstruction from a Single Image
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
A Probabilistic Intensity Similarity Measure based on Noise Distributions
Neural Scene Chronology
Enhancing Vision-Language Pre-Training with Rich Supervisions
BlockCNN: A Deep Network for Artifact Removal and Image Compression
Composite Templates for Cloth Modeling and Sketching
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
Friendly Sharpness-Aware Minimization
FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos
ActionBytes: Learning From Trimmed Videos to Localize Actions
Structure and Motion Estimation with Expectation Maximization and Extended Kalman Smoother for Continuous Image Sequences
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Deep Color Consistent Network for Low-Light Image Enhancement
Projection Center Calibration for a Co-located Projector Camera System
Fast Dynamic Programming for Elastic Registration of Curves
Statistically Robust Approach to Lens Distortion Calibration with Model Selection
Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera
Player localization using multiple static cameras for sports visualization
Using stereomotion to track binocular targets
Exploring facial expressions with compositional features
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Partial Network Cloning
Styleformer: Transformer based Generative Adversarial Networks with Style Vector
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms
The Secrets of Salient Object Segmentation
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
Sketchtopia: A Dataset and Foundational Agents for Benchmarking Asynchronous Multimodal Communication with Iconic Feedback
Actions in context
Progressive Training of A Two-Stage Framework for Video Restoration
Learning active facial patches for expression analysis
A GENERIC FACE REPRESENTATION APPROACH FOR LOCAL APPEARANCE BASED FACE VERIFICATION
Where is the rat? Tracking in low contrast thermographic images
Backpropagation-free Network for 3D Test-time Adaptation
PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
Learning people detection models from few training samples
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
DualGraph: A Graph-Based Method for Reasoning About Label Noise
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation
Generalized Event Cameras
Extracting the shape and roughness of specular lobe objects using four light photometric stereo
Energy-optimized mapping of application to smartphone platform - A case study of mobile face recognition
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization
Vision-based Action Understanding for Assistive Healthcare: A Short Review
Progressive Spatio-temporal Alignment for Efficient Event-based Motion Estimation
Audio-Visual Temporal Saliency Modeling Validated by fMRI Data
High-Res Facial Appearance Capture from Polarized Smartphone Images
3D occlusion recovery using few cameras
TITAN: Future Forecast Using Action Priors
An Effective Crop-Paste Pipeline for Few-shot Object Detection
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Unlocking the Full Potential of Small Data With Diverse Supervision
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes
Towards Multimodal Depth Estimation from Light Fields
A MRF-Based Approach for Real-Time Subway Monitoring
FLAVC: Learned Video Compression with Feature Level Attention
ETAP: Event-based Tracking of Any Point
Human Interaction Recognition Based on the Co-occurrence of Visual Words
PAUL: Procrustean Autoencoder for Unsupervised Lifting
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?
Explore Image Deblurring via Encoded Blur Kernel Space
Polygonal Building Extraction by Frame Field Learning
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation
Camera Trace Erasing
Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example
EPI-Guided Cost Construction Network for Light Field Disparity Estimation
Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
Error Analysis of Background Adaption
3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle
Feature Space Perturbations Yield More Transferable Adversarial Examples
Local Naive Bayes Nearest Neighbor for image classification
Multi-Person 3D Pose Estimation and Tracking in Sports
Cloud-Device Collaborative Learning for Multimodal Large Language Models
Representation Learning for Visual Object Tracking by Masked Appearance Transfer
What do navigation agents learn about their environment?
Motion-Adjustable Neural Implicit Video Representation
RAFT-3D: Scene Flow Using Rigid-Motion Embeddings
Simultaneous Pose and Correspondence Determination using Line Feature
MPC: Multi-view Probabilistic Clustering
From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model
Parsing R-CNN for Instance-Level Human Analysis
"Seeing" Electric Network Frequency from Events
Interpreting and representing tabular documents
Transferring and Regularizing Prediction for Semantic Segmentation
Partitioning range images using curvature and scale
Toward Optimal Kernel-based Tracking
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views
SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining
Revealing Scenes by Inverting Structure From Motion Reconstructions
Lost in quantization: Improving particular object retrieval in large scale image databases
WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
Object-Shot Enhanced Grounding Network for Egocentric Video
Comparison of Approaches to Egomotion Computation
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
Stochastic Image Segmentation by Typical Cuts
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
The Power of Augmentations in IR Object Detection
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
The Perception-Distortion Tradeoff
Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs
MaxQ: Multi-Axis Query for N: m Sparsity Network
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering
Texture Enhanced Image Denoising via Gradient Histogram Preservation
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
Design2Cloth: 3D Cloth Generation from 2D Masks
Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge
Transformer-Based Learned Optimization
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-Light Photometric Stereo
Domain-size pooling in local descriptors: DSP-SIFT
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Weak Lambertian assumption for determining cylindrical shape and pose from shading and contour
Learning Feature Distance Measures for Image Correspondences
State Space Models for Event Cameras
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
Identifying Good Training Data for Self-Supervised Free Space Estimation
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer
Multiple object detection by sequential monte carlo and Hierarchical Detection Network
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective
Human vs. Machine Minds: Ego-Centric Action Recognition Compared
Neural network models for illusory contour perception
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
Trajectories and events
Calibration of Pan-Tilt-Zoom (PTZ) Cameras and Omni-Directional Cameras
QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Document Understanding
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Histograms of Pattern Sets for Image Classification and Object Recognition
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
Positive Sample Propagation Along the Audio-Visual Event Line
Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences
AutoFocusFormer: Image Segmentation off the Grid
AWEAR 2.0 system: Omni-directional audio-visual data acquisition and processing
Pointless Global Bundle Adjustment With Relative Motions Hessians
Color Tracking by Transductive Learning
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Video Content Annotation Using Visual Analysis and a Large Semantic Knowledgebase
Sparsity model for robust optical flow estimation at motion discontinuities
Image de-fencing
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
Object browsing and searching in a camera network using graph models
MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
Task-Aware Variational Adversarial Active Learning
Rethinking Segmentation Guidance for Weakly Supervised Object Detection
Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes
Multi-Modality Model-Based Registration in the Cardiac Domain
The Value of Multiple Viewpoints in Gesture-Based User Authentication
Emotional Attention: A Study of Image Sentiment and Visual Attention
Empirical Performance Analysis of Linear Discriminant Classifiers
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
Hard Sample Matters a Lot in Zero-Shot Quantization
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
Efficient Detector Adaptation for Object Detection in a Video
Object Class Recognition by Boosting a Part-Based Model
Domain Transfer SVM for video concept detection
Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition
The Discriminatory Power of Ordinal Measures - Towards a New Coefficient
Robust camera calibration tool for video surveillance camera in urban environment
Norm-Aware Embedding for Efficient Person Search
Learning to Classify New Foods Incrementally Via Compressed Exemplars
Efficient algorithms for subwindow search in object detection and localization
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
Saliency propagation from simple to difficult
SOLD: Sub-optimal low-rank decomposition for efficient video segmentation
Efficient Mean-Shift Tracking via a New Similarity Measure
OT-Filter: An Optimal Transport Filter for Learning with Noisy Labels
A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving
An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
GMFlow: Learning Optical Flow via Global Matching
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
On the Robustness of GUI Grounding Models Against Image Attacks
MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps
Variable Albedo Surface Reconstruction from Stereo and Shape from Shading
Active Face Tracking and Pose Estimation in an Interactive Room
Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance
Advanced Gaussian MRF Rotation-Invariant Texture Features for Classification of Remote Sensing Imagery
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Mapping visual features to semantic profiles for retrieval in medical imaging
Syntactic image parsing using ontology and semantic descriptions
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
View and scale invariant action recognition using multiview shape-flow models
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
Kernelized Subspace Pooling for Deep Local Descriptors
The k-support norm and convex envelopes of cardinality and rank
Joint Boosting Feature Selection for Robust Face Recognition
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding