yusuke1997/dblp-id-title huggingface dataset:
Quantized Convolutional Neural Networks for Mobile Devices
Calibration and rectification for reflection stereo
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines
Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients
Large-Scale, Metric Structure From Motion for Unordered Light Fields
Approximation of Canonical Sets and Their Applications to 2D View Simplification
Localizing parts of faces using a consensus of exemplars
Jointly Localizing and Describing Events for Dense Video Captioning
Image quality assessment using a rotated Gaussian discrimination function
Discontinuity Preserving Filtering over Analytic Manifolds
Accept the Modality Gap: An Exploration in the Hyperbolic Space
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering
NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
Nonparametric Information Fusion for Motion Estimation
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
Can We Characterize Tasks Without Labels or Features?
Cordless portable multi-view fringe projection system for 3D reconstruction
Sign Segmentation With Changepoint-Modulated Pseudo-Labelling
How SAM Perceives Different mp-MRI Brain Tumor Domains?
Point Density-Aware Voxels for LiDAR 3D Object Detection
Learning Motion Patterns in Videos
Curved contours and surface reconstruction
Geometric Blur for Template Matching
How many bits does it take for a stimulus to be salient?
Cross-domain Few-shot Learning with Task-specific Adapters
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
EGB: Image Quality Assessment Based on Ensemble of Gradient Boosting
A recursive filter for linear systems on Riemannian manifolds
High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model
A General and Efficient Training for Transformer via Token Expansion
Ensembling With Deep Generative Views
Object-based Visual Attention: a Model for a Behaving Robot
3D and Moving Target Extraction from Dynamic Pushbroom Stereo Mosaics
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
Local Facial Asymmetry for Expression Classification
Federated Generalized Category Discovery
PromptNorm: Image Geometry Guides Ambient Light Normalization
μNect: On using a gaming RGBD camera in micro-metrology applications
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis
Ensemble Diversity Facilitates Adversarial Transferability
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search
Multi-Scale Contour Extraction Based on Natural Image Statistics
A variational Bayesian method for similarity learning in non-rigid image registration
Foveated Instance Segmentation
On the Detection of Digital Face Manipulation
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting
A Convex Relaxation for Multi-Graph Matching
Hierarchical Modular Network for Video Captioning
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Compressed Video Action Recognition
A Cortically-Inspired Architecture for Event-Based Visual Motion Processing: From Design Principles to Real-World Applications
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation
Predicting Matchability
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
Long-term Visual Map Sparsification with Heterogeneous GNN
DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation
Photometric Stereo with General, Unknown Lighting
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
Feature-Level Fusion in Personal Identification
Learning Everything about Anything: Webly-Supervised Visual Concept Learning
Face Alignment Using Statistical Models and Wavelet Features
Objects as Volumes: A Stochastic Geometry View of Opaque Solids
Scene Consistency Representation Learning for Video Scene Segmentation
LiDAR-Net: A Real-Scanned 3D Point Cloud Dataset for Indoor Scenes
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Super-resolution from image sequence under influence of hot-air optical turbulence
Active learning for large multi-class problems
Tracking of cell populations to understand their spatio-temporal behavior in response to physical stimuli
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video
Hearing Anywhere in Any Environment
Model-guided contrastive fine-tuning for industrial anomaly detection
Kernelized Few-shot Object Detection with Efficient Integral Aggregation
Bidirectional Projection Network for Cross Dimension Scene Understanding
Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation
Space-Variant Image Deblurring on Smartphones Using Inertial Sensors
Word Extraction Using Area Voronoi Diagram
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Source-Free Object Detection by Learning to Overlook Domain Style
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Multi-camera People Tracking With Mixture of Realistic and Synthetic Knowledge
GIFS: Neural Implicit Function for General Shape Representation
Using vision based tracking to support real-time graphical instruction for students who have visual impairments
Matching of Double-Sided Document Images to Remove Interference
Doubly Right Object Recognition: A Why Prompt for Visual Rationales
Natural Language Object Retrieval
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
Deblur-NeRF: Neural Radiance Fields from Blurry Images
Image Captioning with Semantic Attention
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation
Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos
3D Saliency maps
Learning Tracking Representations from Single Point Annotations
Generalising Fine-Grained Sketch-Based Image Retrieval
Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction
Finding Glass
Physically-Aware Generative Network for 3D Shape Modeling
Deep Spectral Clustering Using Dual Autoencoder Network
Multi-modal Information Fusion for Action Unit Detection in the Wild
Entropy rate superpixel segmentation
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas
Optimal matching of planar models in 3D scenes
Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing
Stratified regularity measures with Jensen-Shannon divergence
Look ATME: The Discriminator Mean Entropy Needs Attention
Fast Point Transformer
Active Graph Cuts
Multiphase Segmentation of Deformation using Logarithmic Priors
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Tracking Pedestrian Heads in Dense Crowd
Densely Connected Pyramid Dehazing Network
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Affordances from Human Videos as a Versatile Representation for Robotics
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
ES 3 Net: Accurate and Efficient Edge-based Self-Supervised Stereo Matching Network
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results
Token Turing Machines
Discrete optimization of ray potentials for semantic 3D reconstruction
Improving classifiers with unlabeled weakly-related videos
Tracklet-Refined Multi-Camera Tracking Based on Balanced Cross-Domain Re-Identification for Vehicles
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
StegaNeRV: Video Steganography using Implicit Neural Representation
Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation Based on Fusion of Visual and Semantic Features
Learning Goals From Failure
PolarMask: Single Shot Instance Segmentation With Polar Representation
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Learning Probabilistic Structure for Human Motion Detection
M 6 Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis
Evaluation-oriented Knowledge Distillation for Deep Face Recognition
GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
Prompting Foundational Models for Omni-supervised Instance Segmentation
Non-local Deep Features for Salient Object Detection
Tunable tensor voting improves grouping of membrane-bound macromolecules
Online Distillation with Continual Learning for Cyclic Domain Shifts
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff
Recognizing objects by piecing together the Segmentation Puzzle
Raising the Bar of AI-generated Image Detection with CLIP
Tree quantization for large-scale similarity search and classification
A Max-Margin Riffled Independence Model for Image Tag Ranking
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption
Center-Based 3D Object Detection and Tracking
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection
Mirror, mirror on the wall, tell me, is the error small?
Image Style Transfer Using Convolutional Neural Networks
Spatial Priors for Part-Based Recognition Using Statistical Models
Biometric score fusion through discriminative training
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
Faster Parameter-Efficient Tuning with Token Redundancy Reduction
Path Aggregation Network for Instance Segmentation
A Detection Technique for Degraded Face Images
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images
Gate-Shift Networks for Video Action Recognition
Reliability in Semantic Segmentation: Are we on the Right Track?
High-fidelity Person-centric Subject-to-Image Synthesis
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
Design and Use of an In-Museum System for Artifact Capture
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Temporal Pyramid Network for Action Recognition
Parsing clothing in fashion photographs
New Techniques for Preserving Global Structure and Denoising With Low Information Loss in Single-Image Super-Resolution
Closed-Form Factorization of Latent Semantics in GANs
DeeCap: Dynamic Early Exiting for Efficient Image Captioning
Unsupervised Continual Semantic Adaptation Through Neural Rendering
HirFormer: Dynamic High Resolution Transformer for Large-Scale Image Shadow Removal
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
Pose-Aware Weakly-Supervised Action Segmentation
Dynamic Zoom-In Network for Fast Object Detection in Large Images
Generalized Deep Image to Image Regression
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
R(Det) 2 : Randomized Decision Routing for Object Detection
Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters
Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks
Discriminant Distribution-Agnostic Loss for Facial Expression Recognition in the Wild
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Unboxed: Geometrically and Temporally Consistent Video Outpainting
Q-CIDNet: Perceptual Quality aware Color and Intensity Decoupling Network for Video Quality Enhancement
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
Hyperbolic Image Segmentation
Turning a CLIP Model into a Scene Text Detector
Multipath Sparse Coding Using Hierarchical Matching Pursuit
Adaptive Annealing for Robust Geometric Estimation
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth
Surface orientation from projective foreshortening of isotropic texture autocorrelation
Remote Heart Rate Measurement from Face Videos under Realistic Situations
Real-time feature tracking and projective invariance as a basis for hand-eye coordination
Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Display gamut reshaping for color emulation and balancing
Using Particles to Track Varying Numbers of Interacting People
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories
Left-Right Comparative Recurrent Model for Stereo Matching
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features
Robust Error Metric Analysis for Noise Estimation in Image Indexing
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
Curls & Whey: Boosting Black-Box Adversarial Attacks
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning
ScarceNet: Animal Pose Estimation with Scarce Annotations
PluckerNet: Learn To Register 3D Line Reconstructions
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
Hyperspectral Target Detection Using Kernel Spectral Matched Filter
Automatic Adaptation of Object Detectors to New Domains Using Self-Training
Enhancing Facial Privacy Protection via Weakening Diffusion Purification
Global stereo matching leveraged by sparse ground control points
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
Low-Rank Bilinear Pooling for Fine-Grained Classification
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models
3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
A Hierarchical Model of Shape and Appearance for Human Action Classification
Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Deep Image Comparator: Learning To Visualize Editorial Change
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
RadarDistill: Boosting Radar-Based Object Detection Performance via Knowledge Distillation from LiDAR Features
Decoupling Training-Free Guided Diffusion by ADMM
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
Bi-level Alignment for Cross-Domain Crowd Counting
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
Driving Everywhere with Large Language Model Policy Adaptation
Improving RANSAC-Based Segmentation through CNN Encapsulation
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection
Deep Constrained Least Squares for Blind Image Super-Resolution
Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer
Executing your Commands via Motion Diffusion in Latent Space
Flexible Spatio-Temporal Networks for Video Prediction
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
Micro-Expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
Combined Depth and Outlier Estimation in Multi-View Stereo
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers
Learning Convolutional Networks for Content-Weighted Image Compression
Segmentation of Neighboring Structures by Modeling Their Interaction
Hierarchical Deep Stereo Matching on High-Resolution Images
Efficient Graphical Models for Processing Images
ROI Pooled Correlation Filters for Visual Tracking
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
Differentiable Diffusion for Dense Depth Estimation From Multi-View Images
Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events
SinGS: Animatable Single-Image Human Gaussian Splats with Kinematic Priors
Making Vision Transformers Efficient from A Token Sparsification View
Dynamic Camera Poses and Where to Find Them
Multi-Level Fusion Based 3D Object Detection From Monocular Images
Image deblurring for less intrusive iris capture
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Recovering specular surfaces using curved line images
3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds with Marker-Based Motion Capture
Automatic Digitization of Engineering Diagrams using Deep Learning and Graph Search
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
Corner Guided Curve Matching and its Application to Scene Reconstruction
Learning to Forget for Meta-Learning
Viewpoint-Coded Structured Light
Robust Statistical Estimation and Segmentation of Multiple Subspaces
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach
Learning semantic visual vocabularies using diffusion distance
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images
Learning Features by Watching Objects Move
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras
Deep Joint Rain Detection and Removal from a Single Image
Motion Segmentation: A Synergistic Approach
MAD: Makeup All-in-One with Cross-Domain Diffusion Model
An Embedded Vision Services Framework for Heterogeneous Accelerators
Manipulation Detection in Satellite Images Using Deep Belief Networks
Projector Calibration using Arbitrary Planes and Calibrated Camera
Order determination and sparsity-regularized metric learning adaptive visual tracking
Automatic Databases for Unsupervised Face Recognition
Music-Driven Group Choreography
Guided Depth Upsampling via a Cosparse Analysis Model
Spatiotemporal CNN for Video Object Segmentation
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks
1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), June 18-20, 1996 San Francisco, CA, USA
Semantic Binary Segmentation Using Convolutional Networks Without Decoders
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Unprocessing Images for Learned Raw Denoising
An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum
Exhaustive family of energies minimizable exactly by a graph cut
Cluster-guided Image Synthesis with Unconditional Models
Near duplicate image identification with patially Aligned Pyramid Matching
BTS: A Bi-lingual Benchmark for Text Segmentation in the Wild
TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation
Deep Transfer Learning For Plant Center Localization
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding
Subset Selection for Efficient SVM Tracking
Communication-Efficient Federated Learning with Accelerated Client Gradient
CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
Combination of user- and enrollee-specific statistical information in verification systems
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
A Survey of Video Datasets for Grounded Event Understanding
Necessary Conditions to Attain Performance Bounds on Structure and Motion Estimates of Rigid Objects
Unsupervised discovery of visual object class hierarchies
Model group indexing for recognition
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment
A robust parallel implementation of 2D model-based recognition
Recovering Line-Networks in Images by Junction-Point Processes
FLAVA: A Foundational Language And Vision Alignment Model
Towards efficient feature sharing in MIMO architectures
Recovering free space of indoor scenes from a single image
Dual DETRs for Multi-Label Temporal Action Detection
Inserting Videos Into Videos
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network