yusuke1997/dblp-id-title huggingface dataset:
Generating Enhanced Negatives for Training Language-Based Object Detectors
Contrastive Grouping with Transformer for Referring Image Segmentation
Class-Based Matching of Object Parts
Motion Matters: Difference-based Multi-scale Learning for Infrared UAV Detection
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
Multiview Occlusion Analysis for Tracking Densely Populated Objects Based on 2-D Visual Angles
Model-Based 3D Hand Reconstruction via Self-Supervised Learning
Understanding Road Layout From Videos as a Whole
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
MER-DIMES: A Planetary Landing Application of Computer Vision
Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
Quasi-Newton Solver for Robust Non-Rigid Registration
MangaNinja: Line Art Colorization with Precise Reference Following
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
A Deep Motion Deblurring Network Based on Per-Pixel Adaptive Kernels With Residual Down-Up and Up-Down Modules
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
Linear view synthesis using a dimensionality gap light field prior
Flow Guided Transformable Bottleneck Networks for Motion Retargeting
Generative Multimodal Models are In-Context Learners
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity
Boundary-Aware Instance Segmentation
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
ART•V: Auto-Regressive Text-to-Video Generation with Diffusion Models
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
Fast and Flexible Image Blind Denoising via Competition of Experts
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
Enforcing non-positive weights for stable support vector tracking
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Towards cross-category knowledge propagation for learning visual concepts
Total Variation Blind Deconvolution: The Devil Is in the Details
Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling
A probabilistic framework for joint segmentation and tracking
DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
Acceleration of an improved Retinex algorithm
Correlational Gaussian Processes for Cross-Domain Visual Recognition
Range Data Registration Using Photometric Features
Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
Temporal Alignment Networks for Long-term Video
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories
Are we ready for autonomous driving? The KITTI vision benchmark suite
"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
Global active contour-based image segmentation via probability alignment
Energy-Efficient Adaptive 3D Sensing
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
Compass Control: Multi Object Orientation Control for Text-to-Image Generation
Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration
MDP: Multidimensional Vision Model Pruning with Latency Constraint
3D display size matters: Compensating for the perceptual effects of S3D display scaling
NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations
Improving Selective Visual Question Answering by Learning from Your Peers
Adaptive Graph Convolutional Subspace Clustering
BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation
Unsupervised Pre-training for Temporal Action Localization Tasks
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
Story-Driven Summarization for Egocentric Video
Automated design of Bayesian perceptual inference networks
Probablistic Affine Invariants for Recognition
Exploring relations of visual codes for image classification
Unifying Vision, Text, and Layout for Universal Document Processing
Binary Constraint Preserving Graph Matching
AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification
Meta-Transfer Learning for Zero-Shot Super-Resolution
Learning Complete 3D Morphable Face Models From Images and Videos
Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression
Self-Supervised Video Representation Learning with Odd-One-Out Networks
On reliable curvature estimation
3D Object Recognition from Range Images using Local Feature Histograms
3D Human Pose Estimation from a Single Image via Distance Matrix Regression
A bootstrapping algorithm for learning linear models of object classes
Breaking the "Object" in Video Object Segmentation
Complex spectral minutiae representation for fingerprint recognition
SketchNet: Sketch Classification with Web Images
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
Multi-Step Reinforcement Learning for Single Image Super-Resolution
AIC2018 Report: Traffic Surveillance Research
SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes
Importance is in your attention: agent importance prediction for autonomous driving
Partial implementation of the fixation method on real images: direct recovery of motion and shape in the general case
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
On the Use of SIFT Features for Face Authentication
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Deep Grouping Model for Unified Perceptual Parsing
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction
Neural Texture Synthesis with Guided Correspondence
Model Transport: Towards Scalable Transfer Learning on Manifolds
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
Sequential Graph Convolutional Network for Active Learning
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network
Feature Selection for Reliable Tracking using Template Matching
Multiplicative Fourier Level of Detail
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
Bayesian Hierarchical Dynamic Model for Human Action Recognition
Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine
Sharpness-Aware Optimization for Real-World Adversarial Attacks for Diverse Compute Platforms with Enhanced Transferability
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model
Learning to Group Objects
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Multisensor Integration for Building Modeling
Learning to Super Resolve Intensity Images From Events
Multi-modal Vision Pre-training for Medical Image Analysis
Learning Joint Reconstruction of Hands and Manipulated Objects
Dual-Enhanced Coreset Selection with Class-Wise Collaboration for Online Blurry Class Incremental Learning
Dynamics Based Robust Motion Segmentation
Open-Canopy: Towards Very High Resolution Forest Monitoring
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Deterministic Point Cloud Registration via Novel Transformation Decomposition
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
Sign Spotting Using Hierarchical Sequential Patterns with Temporal Intervals
Improving the efficiency of hierarchical structure-and-motion
Autocalibration of an Ad Hoc Construction of Multi-Projector Displays
Background Splitting: Finding Rare Classes in a Sea of Background
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
Grid Diffusion Models for Text-to-Video Generation
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion
Understanding and Visualizing Deep Visual Saliency Models
Multi-View Harmonized Bilinear Network for 3D Object Recognition
6D-VNet: End-To-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images
I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models
Motion From 3D Line Correspondences: Linear and Non-Linear Solutions
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
An Approach to Visualize Image Retrieval Results
Predicting high resolution image edges with a generic, adaptive, 3-D vehicle model
Adaptive Transfer Network for Cross-Domain Person Re-Identification
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
Cross-Modal Deep Face Normals With Deactivable Skip Connections
SAPIEN: A SimulAted Part-Based Interactive ENvironment
Visual tracking via incremental self-tuning particle filtering on the affine group
IReNe: Instant Recoloring of Neural Radiance Fields
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
Animatable Gaussians: Learning Pose-Dependent Gaussian Maps for High-Fidelity Human Avatar Modeling
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
Person count localization in videos from noisy foreground and detections
Real-Time Seamless Single Shot 6D Object Pose Prediction
Sparse representations for facial expressions recognition via l1 optimization
HDR Environment Map Estimation for Real-Time Augmented Reality
MeshPose: Unifying DensePose and 3D Body Mesh reconstruction
Evaluation of Texture Segmentation Algorithms
Learning To Count Everything
Modular Memorability: Tiered Representations for Video Memorability Prediction
Spectral methods for semi-supervised manifold learning
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
RevealNet: Seeing Behind Objects in RGB-D Scans
CaBins: CLIP-based Adaptive Bins for Monocular Depth Estimation
One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis
Weakly Supervised Video Salient Object Detection
XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images
Scaling Handwritten Student Assessments With a Document Image Workflow System
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics
Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos
From N to N+1: Multiclass Transfer Incremental Learning
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
Fast Binary Image Processing Using Binary Decision Diagrams
Flexible Group Count Enables Hassle-Free Structured Pruning
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
Vector Quantization with Self-Attention for Quality-Independent Representation Learning
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation
Rapid Signer Adaptation for Isolated Sign Language Recognition
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Towards Universal Representation for Unseen Action Recognition
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
MatchNet: Unifying feature and metric learning for patch-based matching
Variational Context-Deformable ConvNets for Indoor Scene Parsing
Streetscore - Predicting the Perceived Safety of One Million Streetscapes
GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
Dynamic Dual-Output Diffusion Models
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
Deep RNN Framework for Visual Sequential Applications
Monocular Human Motion Capture with a Mixture of Regressors
Discriminative image warping with attribute flow
Uncertainty-Aware Deep Multi-View Photometric Stereo
Local Analysis for 3D Reconstruction of Specular Surfaces
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis
Layered Depth Refinement with Mask Guidance
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Fine-Grained Bipartite Concept Factorization for Clustering
Fractal probability functions-an application to image analysis
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
Flow Supervision for Deformable NeRF
Closest Point Search in High Dimensions
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
A topological method for shape comparison
Large-Capacity Image Steganography Based on Invertible Neural Networks
Prune Efficiently by Soft Pruning
Active Vision for Early Recognition of Human Actions
DarkIR: Robust Low-Light Image Restoration
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Image Denoising Via Learned Dictionaries and Sparse representation
Line drawing interpretation in a multi-view context
Automated quantitative description of spiral galaxy arm-segment structure
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identification
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Abnormal detection using interaction energy potentials
LVP-CLIP: Revisiting CLIP for Continual Learning with Label Vector Pool
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
Probabilistic Elastic Matching for Pose Variant Face Verification
Expression Transfer Using Flow-Based Generative Models
The Systematic Design and Analysis Cycle of a Vision System: A Case Study in Video Surveillance
Wide-Baseline Hair Capture Using Strand-Based Refinement
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts
Action Recognition Using Probabilistic Parsing
Video Data Mining Using Configurations of Viewpoint Invariant Regions
Least Squares Fitting Articulated Objects
View-invariant action recognition using fundamental ratios
Hash3D: Training-free Acceleration for 3D Generation
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations
3D Menagerie: Modeling the 3D Shape and Pose of Animals
Robust FEC-CNN: A High Accuracy Facial Landmark Detection System
A nonparametric algorithm for edge localization
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
MVCM: Enhancing Multi-View and Cross-Modality Alignment for Medical Visual Question Answering and Medical Image-Text Retrieval
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
Using Hankel matrices for dynamics-based facial emotion recognition and pain detection
Articulated object recognition, or: how to generalize the generalized Hough transform
Modeling Sub-Event Dynamics in First-Person Action Recognition
ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark
Randomized hybrid linear modeling by local best-fit flats
Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
Open Set Action Recognition via Multi-Label Evidential Learning
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print Gallery
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
Gender classification from unconstrained video sequences
Natural image denoising: Optimality and inherent bounds
Increased discrimination in level set methods with embedded conditional random fields
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Endoscope Navigation and 3D Reconstruction of Oral Cavity by Visual SLAM With Mitigated Data Scarcity
Object-Based Video Indexing for Virtual Studio Productions
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
Continual Learning with Lifelong Vision Transformer
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets
Binarized Mode Seeking for Scalable Visual Pattern Discovery
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask
Hierarchical Gabor filters for object detection in infrared images
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Group Contextualization for Video Recognition
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
Multi-manifold deep metric learning for image set classification
Model-Blind Video Denoising via Frame-To-Frame Training
Congruency-Based Reranking
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
Evaluating and Improving Compositional Text-to-Visual Generation
Modular Action Concept Grounding in Semantic Video Prediction
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Zero-Query Transfer Attacks on Context-Aware Object Detectors
PCL: Proxy-based Contrastive Learning for Domain Generalization
Manipulation Detection in Satellite Images Using Vision Transformer
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
Recognition and semi-differential invariants
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
Unsupervised Learning of Image Transformations
Point-NeRF: Point-based Neural Radiance Fields
SEED-Bench: Benchmarking Multimodal Large Language Models
Bilayer Segmentation of Live Video
A Unified Model for Line Projections in Catadioptric Cameras with Rotationally Symmetric Mirrors
Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion
Perfusion assessment via local remote photoplethysmography (rPPG)
WaveMo: Learning Wavefront Modulations to See Through Scattering
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Deeply-Recursive Convolutional Network for Image Super-Resolution
A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms
Bottom-Up Object Detection by Grouping Extreme and Center Points
Improvements to Context Based Self-Supervised Learning
Invisible Backdoor Attack against Self-supervised Learning
Entropy-based active learning for object recognition
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
A cross-sensor evaluation of three commercial iris cameras for iris biometrics
Simultaneous image segmentation and 3D plane fitting for RGB-D sensors - An iterative framework
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation
A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
A Bayesian approach to adaptive video super resolution
Face2Diffusion for Fast and Editable Face Personalization
GASP: Gaussian Avatars with Synthetic Priors
VicTR: Video-conditioned Text Representations for Activity Recognition
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-View Images
Normalized Cut Loss for Weakly-Supervised CNN Segmentation
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
UniSim: A Neural Closed-Loop Sensor Simulator
Can similar scenes help surface layout estimation?
Realtime Quality Assessment of Iris Biometrics Under Visible Light
Binarized Low-Light Raw Video Enhancement
Boosted multi-task learning for face verification with applications to web image and video search
Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
Language-Guided Audio-Visual Learning for Long-Term Sports Assessment
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery
DEIM: DETR with Improved Matching for Fast Convergence
It Takes Two to Tango: Cascading Off-the-Shelf Face Detectors
Morpheus: Text-Driven 3D Gaussian Splat Shape and Color Stylization
Development of hand-eye system with 3-D vision and microgripper and its application to assembling flexible wires
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis
Impact of Dynamics on Subspace Embedding and Tracking of Sequences
Fast Deformable Image Registration with Non-smooth Dual Optimization
Learning mid-level features for recognition
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
Class Adaptive Network Calibration