yusuke1997/dblp-id-title huggingface dataset:
High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
What is the Most EfficientWay to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Efficient and Robust Registration on the 3D Special Euclidean Group
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Affine Invariant Medial Axis and Skew Symmetry
Moment Detection in Long Tutorial Videos
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
Modeling deformable objects from a single depth camera
Non-homogeneous Content-driven Video-retargeting
Latent structured models for human pose estimation
Learning Fast Sample Re-weighting Without Reward Data
Unsupervised Prompt Tuning for Text-Driven Object Detection
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Fully Connected Object Proposals for Video Segmentation
H2O: A Benchmark for Visual Human-human Object Handover Analysis
Subpixel Scanning Invariant to Indirect Lighting Using Quadratic Code Length
A global algorithm for shape from shading
Learning Effective Image Metrics from Few Pairwise Examples
Person Re-identification by Salience Matching
A framework for the robust estimation of optical flow
Video Segmentation with Just a Few Strokes
Learning Spread-Out Local Feature Descriptors
Reflectance Function Estimation and Shape Recovery from Image Sequence of a Rotating Object
What, where and who? Classifying events by scene and object recognition
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Saliency Detection in Large Point Sets
Actionness-Assisted Recognition of Actions
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
DPS-Net: Deep Polarimetric Stereo Depth Estimation
Eulerian Single-Photon Vision
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Visual Servoing Invariant to Changes in Camera Intrinsic Parameters
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions
Actionable information in vision
Rolling Shutter Super-Resolution
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Convolutional Sparse Coding for Image Super-Resolution
Order-Preserving Wasserstein Discriminant Analysis
The Normalized Subspace Inclusion: Robust clustering of motion subspaces
Learnable Triangulation of Human Pose
The power of comparative reasoning
Confidence Calibration for Domain Generalization under Covariate Shift
Consistent Surface Color for Texturing Large Objects in Outdoor Scenes
Person Re-Identification without Identification via Event Anonymization
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning
AG3D: Learning to Generate 3D Avatars from 2D Image Collections
Unconstrained Foreground Object Search
A Bilinear Illumination Model for Robust Face Recognition
Linearized Multi-Sampling for Differentiable Image Transformation
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
An Internal Learning Approach to Video Inpainting
Detail Me More: Improving GAN's photo-realism of complex scenes
Regressing a 3D Face Shape from a Single Image
WeText: Scene Text Detection under Weak Supervision
Video Background Music Generation: Dataset, Method and Evaluation
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Capturing Global Semantic Relationships for Facial Action Unit Recognition
Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters
Using Temporal Coherence to Build Models of Animals
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Incremental image sequence enhancement with implicit motion compensation
Vi 2 CLR: Video and Image for Visual Contrastive Learning of Representation
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
PIMs and Invariant Parts for Shape Recognition
Predicting occupation via human clothing and contexts
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator
Ensemble Attention Distillation for Privacy-Preserving Federated Learning
Efficient, Robust and Accurate Fitting of a 3D Morphable Model
Look, Listen and Learn
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
Online-trained Upsampler for Deep Low Complexity Video Compression
Robust Subspace Clustering via Half-Quadratic Minimization
Optical Flow Estimation Using Wavelet Motion Model
Foreground Activation Maps for Weakly Supervised Object Localization
Adaptive Reordering Sampler with Neurally Guided MAGSAC
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections
Steerable filters for early vision, image analysis, and wavelet decomposition
PR Product: A Substitute for Inner Product in Neural Networks
Detecting Irregularities in Images and in Video
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
Optimizing Network Structure for 3D Human Pose Estimation
Piecewise planar stereo for image-based rendering
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
3D Articulated Models and Multi-View Tracking with Silhouettes
Improving Image Classification with Location Context
A Randomized Ensemble Approach to Industrial CT Segmentation
Head and Body Orientation Estimation with Sparse Weak Labels in Free Standing Conversational Settings
3D reconstruction from image collections with a single known focal length
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Design of Multi-Parameter Steerable Functions Using Cascade Basis Reduction
Learning actions from the Web
Spectral Regression for Efficient Regularized Subspace Learning
Variational Few-Shot Learning
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance Properties in Shadow Regions
Stereo Matching with Transparency and Matting
SSDA: Secure Source-Free Domain Adaptation
The Study of 3D-from-2D Using Elimination
A Stagewise Refinement Model for Detecting Salient Objects in Images
Object Matching in the Presence of Non-Rigid Deformations Close to Similarities
Cascaded Shape Space Pruning for Robust Facial Landmark Detection
Blurring-invariant Riemannian metrics for comparing signals and images
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Simultaneous color consistency and depth map estimation for radiometrically varying stereo images
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Rectangling Stereographic Projection for Wide-Angle Image Visualization
Multiview Photometric Stereo Using Planar Mesh Parameterization
Multiplexed illumination for scene recovery in the presence of global illumination
HAA500: Human-Centric Atomic Action Dataset with Curated Videos
Relational Histograms for Shape Indexing
Finding Actors and Actions in Movies
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
On The Sensitivity Of The Hough Transform For Object Recognition
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
Classification of Human Body Motion
DETRs with Collaborative Hybrid Assignments Training
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Optimization Problems for Fast AAM Fitting in-the-Wild
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction
Robust Model-Based 3D Head Pose Estimation
Globally optimal solution to multi-object tracking with merged measurements
Active subspace learning
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization
Fingerspelling Recognition in the Wild With Iterative Visual Attention
Human Re-identification by Matching Compositional Template with Cluster Sampling
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts
A modal framework for correspondence and description
View-Consistent 4D Light Field Superpixel Segmentation
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
Light Source Guided Single-Image Flare Removal from Unpaired Data
3D structure from a monocular sequence of images
Re-ReND: Real-time Rendering of NeRFs across Devices
Feature Selection from Huge Feature Sets
RoomNet: End-to-End Room Layout Estimation
Automatic Kronecker Product Model Based Detection of Repeated Patterns in 2D Urban Images
ClothFlow: A Flow-Based Model for Clothed Person Generation
Linear stereo matching
Leveraging Inpainting for Single-Image Shadow Removal
A Layer-Based Restoration Framework for Variable-Aperture Photography
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Recurrent Color Constancy
Uncertainty-guided Learning for Improving Image Manipulation Detection
Unpaired Image Captioning via Scene Graph Alignments
Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment
Globally Optimal 2D-3D Registration from Points or Lines without Correspondences
Towards Open-Vocabulary Video Instance Segmentation
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
FORMS: A Flexible Object Recognition and Modelling System
Deep Blind Hyperspectral Image Fusion
Constrained Active Appearance Models
Image compression with anisotropic triangulations
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
Proximity Distribution Kernels for Geometric Context in Category Recognition
Minimal Solutions to Uncalibrated Two-view Geometry with Known Epipoles
Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval
Active Learning for Lane Detection: A Knowledge Distillation Approach
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary
Computing optical flow from an overconstrained system of linear algebraic equations
Interpretable Transformations with Encoder-Decoder Networks
N-best maximal decoders for part models
The von Kries Hypothesis and a Basis for Color Constancy
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer
Structured Feature Selection
Closed-World Tracking
Dynamic Refraction Stereo
Enhanced Meta Label Correction for Coping with Label Corruption
DeepSetNet: Predicting Sets with Deep Neural Networks
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Annular Symmetry Operators: A Method for Locating and Describing Objects
Diffeomorphic Statistical Deformation Models
Building Qualitative Event Models Automatically from Visual Input
Learning Blind Motion Deblurring
Data Augmented Flatness-aware Gradient Projection for Continual Learning
Membership Inference Attacks are Easier on Difficult Problems
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images
Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint
Lattice Long Short-Term Memory for Human Action Recognition
GlobalMapper: Arbitrary-Shaped Urban Layout Generation
Depth Map Regeneration via Improved Graph Cuts Using a Novel Omnidirectional Stereo Sensor
Am I a Baller? Basketball Performance Assessment from First-Person Videos
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Topic Scene Graph Generation by Attention Distillation from Caption
Locally Invariant Fractal Features for Statistical Texture Classification
Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance
Closing the Loop on Multiple Motions
A linear formulation of shape from specular flow
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification
Are spatial and global constraints really necessary for segmentation?
A Groupwise Multilinear Correspondence Optimization for 3D Faces
A New Adaptive Segmental Matching Measure for Human Activity Recognition
FLatten Transformer: Vision Transformer using Focused Linear Attention
Time series prediction by chaotic modeling of nonlinear dynamical systems
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Revisiting radiometric calibration for color computer vision
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Entropy-Based Latent Structured Output Prediction
Domain Adaptation for Structured Output via Discriminative Patch Representations
Single View Physical Distance Estimation using Human Pose
3D-Mode: A 3D Modelling and Measurement System Using a Few Photos
A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis
Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
Relaxed Transformer Decoders for Direct Action Proposal Generation
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
A design for a visual motion transducer
Aggregation with Feature Detection
Self-Calibration of a Stereo Rig Using Monocular Epipolar Geometry
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
3D-aware Blending with Generative NeRFs
RDI-Net: Relational Dynamic Inference Networks
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
Editing Conditional Radiance Fields
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition
Estimating Motion From Sparse Range Data Without Correspondence
Image representation by active curves
MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics
Model-Based Matching of Line Drawings by Linear Combinations of Prototypes
Can Language Models Learn to Listen?
People-LDA: Anchoring Topics to People using Face Recognition
Predicting Human Activities Using Stochastic Grammar
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Copy-and-Paste Networks for Deep Video Inpainting
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines
Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction
Efficient Global Illumination for Morphable Models
Learning to Boost Filamentary Structure Segmentation
In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces
Synergistic Smooth Surface Stereo
Learning the Probability of Correspondences without Ground Truth
Tales of Shape and Radiance in Multi-view Stereo
Generating Easy-to-Understand Referring Expressions for Target Identifications
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
Rigidity Checking of 3D Point Correspondences under Perspective Projection
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Contrastive Multimodal Fusion with TupleInfoNCE
Understanding Robustness of Transformers for Image Classification
Unsupervised and semi-supervised learning via ℓ1-norm graph
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification
Bridging the Domain Gap for Ground-to-Aerial Image Matching
Car Detection in Low Resolution Aerial Image
Score-Based Point Cloud Denoising
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
Personalized Image Aesthetics
Human Preference Score: Better Aligning Text-to-image Models with Human Preference
VLGrammar: Grounded Grammar Induction of Vision and Language
Euclidean Reconstruction and Reprojection up to Subgroups
Robust Feature Set Matching for Partial Face Recognition
Towards a computational theory of model based vision and perception
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
Integrated Edge and Junction Detection with the Boundary Tensor
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Caustics of Catadioptric Cameras
Vision Transformers for Dense Prediction
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
Face Video Deblurring Using 3D Facial Priors
Low order dynamics embedding for high dimensional time series
Language Features Matter: Effective Language Representations for Vision-Language Tasks
Discriminative models for multi-class object layout
WaveFill: A Wavelet-based Generation Network for Image Inpainting
Understanding Low- and High-Level Contributions to Fixation Prediction
Plane-based calibration of central catadioptric cameras
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing
Robust Heterogeneous Federated Learning under Data Corruption
UHDNeRF: Ultra-High-Definition Neural Radiance Fields
Visual word disambiguation by semantic contexts
LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning
On feature combination for multiclass object classification
Polynomial Methods For Structure From Motion
Efficient Low Rank Tensor Ring Completion
Among Us: Adversarially Robust Collaborative Perception by Consensus
Semantic contours from inverse detectors
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Discriminative figure-centric models for joint action localization and recognition
Semantically Structured Image Compression via Irregular Group-Based Decoupling
Aggregating Feature Point Cloud for Depth Completion
Towards Motion Aware Light Field Video for Dynamic Scenes
Image Statistics and Anisotropic Diffusion
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures
An adaptive coupled-layer visual model for robust visual tracking
Temporal Action Detection with Multi-level Supervision
Text-based image retrieval using progressive multi-instance learning
Improving Continuous Sign Language Recognition with Cross-Lingual Signs
PIEFA: Personalized Incremental and Ensemble Face Alignment
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
IIEU: Rethinking Neural Feature Activation from Decision-Making
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
A Color Constancy Model with Double-Opponency Mechanisms
Depth Information by Stage Classification
Transferable Contrastive Network for Generalized Zero-Shot Learning
Pretrained Language Models as Visual Planners for Human Assistance
Discovering Spatio-Temporal Rationales for Video Question Answering
Fast template matching in non-linear tone-mapped images
Semantics Disentangling for Generalized Zero-Shot Learning
Optimal estimation of vanishing points in a Manhattan world
Hiding Visual Information via Obfuscating Adversarial Perturbations
Meshfree Particle Method
Dynamic Dual Gating Neural Networks
Domain Generalization via Balancing Training Difficulty and Model Capability
Adversarial Examples for Semantic Segmentation and Object Detection
The Swap and Expansion moves revisited and fused
Structure and kinematics triangulation with a rolling shutter stereo rig
NPMs: Neural Parametric Models for 3D Deformable Shapes
Mirrors in motion: Epipolar geometry and motion estimation
Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition
Structured Prediction Helps 3D Human Motion Modelling
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Shape From Angles Under Perspective Projection
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
Untangling fibers by quotient appearance manifold mapping for grayscale shape classification
Variational-Based Method to Extract Parametric Shapes from Images
A Geometric Criterion for Shape-Based Non-Rigid Correspondence
Human Uncertainty Makes Classification More Robust
Gradient Flows and Geometric Active Contour Models
Temporal Knowledge Propagation for Image-to-Video Person Re-Identification
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation
Automated Knowledge Distillation via Monte Carlo Tree Search
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Fast Image Processing with Fully-Convolutional Networks
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning