yusuke1997/dblp-id-title huggingface dataset:
Spectral learning of latent semantics for action recognition
Ridge-detection for the perceptual organization without edges
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection
Self-calibration Of Stereo Cameras
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Photometric Surface Analysis in a Tri-Luminal Environment
Tracking and Recognizing Rigid and Non-Rigid Facial Motions Using Local Parametric Models of Image Motion
Personalized Cinemagraphs Using Semantic Understanding and Collaborative Learning
Depth and Image Restoration from Light Field in a Scattering Medium
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation
Dense 3D reconstruction method using a single pattern for fast moving object
Discrete camera calibration from the information distance between pixel streams
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
Tracking by 3D Model Estimation of Unknown Objects in Videos
Component analysis approach to estimation of tissue intensity distributions of 3D images
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Efficient learning of sparse, distributed, convolutional feature representations for object recognition
ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, DYAD 2021, held in conjunction with ICCV 2021, Virtual, October 16, 2021
SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition
Selecting Relevant Web Trained Concepts for Automated Event Retrieval
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Dense Interaction Learning for Video-based Person Re-identification
Center-surround divergence of feature statistics for salient object detection
Pairwise Face Recognition
Local and Global Logit Adjustments for Long-Tailed Learning
GRF: Learning a General Radiance Field for 3D Representation and Rendering
HEAT: Iterative relevance feedback with one million images
Group-sensitive multiple kernel learning for object categorization
RankBoost with l1 regularization for facial expression recognition and intensity estimation
Learning a Recurrent Residual Fusion Network for Multimodal Matching
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Structure and Motion Estimation from Dynamic Silhouettes under Perspective Projection
Radon Transform and Harmonical Analysis Using Lines for 3D Rotation Estimation without Correpondences from Omnidirectional Vision
Anchor Diffusion for Unsupervised Video Object Segmentation
Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding
Detecting Rotational Symmetries
Optimizing the Placement of Roadside LiDARs for Autonomous Driving
Crowd Counting With Deep Structured Scale Integration Network
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
A new Omnidirectional Stereovision Sensor
Towards Inadequately Pre-trained Models in Transfer Learning
Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
A Variational Framework for Simultaneous Motion Estimation and Restoration of Motion-Blurred Video
Self-Guided Network for Fast Image Denoising
The PDAF based Active Contour
Better and Faster: Exponential Loss for Image Patch Matching
On the Complexity of Probabilistic Image Retrieval
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
A Theory of Shape by Space Carving
Direct motion stereo: Recovery of observer motion and scene structure
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
Exploiting High Level Scene Cues in Stereo Reconstruction
Learn to Cluster Faces via Pairwise Classification
Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders
PHRIT: Parametric Hand Representation with Implicit Template
Cloning Your Own Face with a Desktop Camera
Data-free Knowledge Distillation for Fine-grained Visual Categorization
POD: Practical Object Detection With Scale-Sensitive Network
Consensus Maximization Tree Search Revisited
Gradient Vector Flow Fast Geodesic Active Contours
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Type-Constrained Robust Fitting of Quadrics with Application to the 3D Morphological Characterization of Saddle-Shaped Articular Surfaces
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos
Gender Artifacts in Visual Datasets
Hyperspectral Image Denoising with Realistic Data
Kernel non-rigid structure from motion
Discriminative learning of relaxed hierarchy for large-scale visual recognition
A multi-sample, multi-tree approach to bag-of-words image representation for image retrieval
Curve Finder Combining Perceptual Grouping and a Kalman like Fitting
Pedestrian Parsing via Deep Decompositional Network
Bottleneck Potentials in Markov Random Fields
Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models
Material Editing Using a Physically Based Rendering Network
How Related Exemplars Help Complex Event Detection in Web Videos?
Discrete models for energy-minimizing segmentation
HashNet: Deep Learning to Hash by Continuation
Associative hierarchical CRFs for object class image segmentation
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
HSE: Hybrid Species Embedding for Deep Metric Learning
What Makes Tom Hanks Look Like Tom Hanks
3D Local Convolutional Neural Networks for Gait Recognition
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
GridMM: Grid Memory Map for Vision-and-Language Navigation
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Motion-Guided Masking for Spatiotemporal Representation Learning
Improved Visual Fine-tuning with Natural Language Supervision
Learning-Based Cloth Material Recovery from Video
Bilateral Filtering for Gray and Color Images
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation
LIP: Local Importance-Based Pooling
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval
Surface Normals in the Wild
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes
Convolutional Networks with Oriented 1D Kernels
Robust Principal Component Analysis on Graphs
A joint learning framework for attribute models and object descriptions
Visual Semantic Complex Network for Web Images
Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Deep Comprehensive Correlation Mining for Image Clustering
Fast Object Segmentation in Unconstrained Video
Deformable Image Mosaicing for Optical Biopsy
Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
Kinecting the dots: Particle based scene flow from depth sensors
Learning equivariant structured output SVM regressors
Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning
Moment Matching for Multi-Source Domain Adaptation
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
A Simple Yet Effective Baseline for 3d Human Pose Estimation
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
Holistic Pose Graph: Modeling Geometric Structure among Objects in a Scene using Graph Inference for 3D Object Prediction
Single View Metrology
Relational Attention Network for Crowd Counting
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Contour Box: Rejecting Object Proposals without Explicit Closed Contours
Multi-Class Cell Detection Using Spatial Context Representation
General Planar Motion from a Pair of 3D Correspondences
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
Channel Pruning for Accelerating Very Deep Neural Networks
Space-time Sampling With Motion Uncertainty: Constraints On Space-time Filtering
Deep Halftoning with Reversible Binary Pattern
Learning Video Object Segmentation with Visual Memory
High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion
Robustness Certification for Point Cloud Models
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
TrackFlow: Multi-Object Tracking with Normalizing Flows
Learning Dense Facial Correspondences in Unconstrained Images
Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
Recursive MDL via graph cuts: Application to segmentation
A Two-Stage Robust Statistical Method for Temporal Registration from Features of Various Type
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Lambertian Reflectance and Linear Subspaces
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
How Do You Tell a Blackbird from a Crow?
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification
Stochastic Road Shape Estimation
Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
Real-Time Marker-free Motion Capture from multiple cameras
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
LIMITR: Leveraging Local Information for Medical Image-Text Representation
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Attribute Dominance: What Pops Out?
Deep Multi-Model Fusion for Single-Image Dehazing
Soylent Grid: it's Made of People
Probabilistic Deep Ordinal Regression Based on Gaussian Processes
Lightweight Image Super-Resolution with Superpixel Token Interaction
On-Line Novel View Synthesis Capable of Handling Multiple Moving Objects
NeRF-MS: Neural Radiance Fields with Multi-Sequence
U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
Probabilistic 3D object recognition with both positive and negative evidences
Generative Adversarial Minority Oversampling
CARD: Compact And Real-time Descriptors
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis
CenterNet: Keypoint Triplets for Object Detection
End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation
Low-Rank Matrix Factorization under General Mixture Noise Distributions
Flexible Camera Calibration by Viewing a Plane from Unknown Orientations
Face Sketch Matching via Coupled Deep Transform Learning
Automatic Camera Network Localization using Object Image Tracks
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents
Aggregating Local Deep Features for Image Retrieval
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
Constraining Human Body Tracking
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization
Partner-Assisted Learning for Few-Shot Image Classification
Automatic and Robust Skull Registration Based on Discrete Uniformization
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Learning Meshes for Dense Visual SLAM
VQA: Visual Question Answering
Hybrid Spectral Denoising Transformer with Guided Attention
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
Learning Signed Distance Field for Multi-view Surface Reconstruction
Scene Graph Contrastive Learning for Embodied Navigation
Point-SLAM: Dense Neural Point Cloud-based SLAM
Active Visual Recognition with Expertise Estimation in Crowdsourcing
Single-shot high dynamic range imaging with conventional camera hardware
Locally Stylized Neural Radiance Fields
Grasping visual symmetry
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
Multilinear Projection for Appearance-Based Recognition in the Tensor Framework
Learning Coupled Feature Spaces for Cross-Modal Matching
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Learning Inner-Group Relations on Point Clouds
Referring Expression Generation and Comprehension via Attributes
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online
Learning Action Recognition Model from Depth and Skeleton Videos
MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence
Fast realistic multi-action recognition using mined dense spatio-temporal features
Diffuse shading, visibility fields, and the geometry of ambient light
Deep Dual Learning for Semantic Image Segmentation
Bayesian Model Adaptation for Crowd Counts
Efficient View Synthesis with Neural Radiance Distribution Field
Multiperspective stereo matching and volumetric reconstruction
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Instance-level Image Retrieval using Reranking Transformers
Interpreting Attributions and Interactions of Adversarial Attacks
Detecting Objects with Context-Likelihood Graphs and Graph Refinement
Label set perturbation for MRF based neuroimaging segmentation
Fake it till you make it: face analysis in the wild using synthetic data alone
Parsing Images of Architectural Scenes
Representative Color Transform for Image Enhancement
VidTr: Video Transformer Without Convolutions
M3D-VTON: A Monocular-to-3D Virtual Try-On Network
NSF: Neural Surface Fields for Human Modeling from Monocular Depth
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
NeTO: Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing
Interpretable Visual Reasoning via Induced Symbolic Space
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks
Learning to Ground Instructional Articles in Videos through Narrations
3D Object Representation Using Transform and Scale Invariant 3D Features
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS
Learning Policies for Adaptive Tracking with Deep Feature Cascades
Depth from Combining Defocus and Correspondence Using Light-Field Cameras
Removal of Translation Bias when using Subspace Methods
Adaptive Rotated Convolution for Rotated Object Detection
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
RFNet: Region-aware Fusion Network for Incomplete Multi-modal Brain Tumor Segmentation
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
A Fast and Accurate One-Stage Approach to Visual Grounding
Searching for MobileNetV3
Multi-view Object Segmentation in Space and Time
Range Loss for Deep Face Recognition with Long-Tailed Training Data
Two-Dimensional Affine Invariants that Distribute Uniformly and can be Tuned to any Convex Feature Domain
LeaF: Learning Frames for 4D Point Cloud Sequence Understanding
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models
Ray Space Features for Plenoptic Structure-from-Motion
Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
CTVIS: Consistent Training for Online Video Instance Segmentation
Objects as Cameras: Estimating High-Frequency Illumination from Shadows
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
Non-convex Rank/Sparsity Regularization and Local Minima
One-shot Implicit Animatable Avatars with Model-based Priors
AOD-Net: All-in-One Dehazing Network
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
Integrating the Effects of Motion, Illumination and Structure in Video Sequences
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
Semantic Segmentation with Object Clique Potential
Online Hyper-Parameter Learning for Auto-Augmentation Strategy
Deep Equilibrium Object Detection
Learning Image Representations Tied to Ego-Motion
In Defense of Scene Graphs for Image Captioning
Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
Geometrized Transformer for Self-Supervised Homography Estimation
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise
TransReID: Transformer-based Object Re-Identification
Tabula rasa: Model transfer for object category detection
Learning Non-Generative Grammatical Models for Document Analysis
Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval
Introducing total curvature for image processing
ΣIGMA: Scale-Invariant Global Sparse Shape Matching
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Object Categorization by Learned Universal Visual Dictionary
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision
Adaptive Hashing for Fast Similarity Search
Handwritten Word Spotting with Corrected Attributes
Tuning Pre-trained Model via Moment Probing
Learned Compressive Representations for Single-Photon 3D Imaging
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
SHERF: Generalizable Human NeRF from a Single Image
Better Aggregation in Test-Time Augmentation
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding
Geometric Segmentation of Perspective Images Based on Symmetry Groups
When Do Curricula Work in Federated Learning?
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack
Qualitative route scene description using autonomous landmark detection
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
Fast image-based localization using direct 2D-to-3D matching
Coherent Object Detection with 3D Geometric Context from a Single Image
Understanding 3D Object Interaction from a Single Image
Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks
Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation
Adaptive Superpixel for Active Learning in Semantic Segmentation
Test-time Personalizable Forecasting of 3D Human Poses
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Results Using Random Field Models for the Segmentation of Color Images of Natural Scenes
Deblurring by Example Using Dense Correspondence
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
End-to-end scene text recognition
Deep Networks for Image Super-Resolution with Sparse Prior
Improving robustness against common corruptions with frequency biased models
Surface Classification Using Conformal Structures
nocaps: novel object captioning at scale
Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching
Exploring Transformers for Open-world Instance Segmentation
Towards Interpretable Deep Networks for Monocular Depth Estimation
Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs using Triangular Splines
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Real-time Vanishing Point Detector Integrating Under-parameterized RANSAC and Hough Transform
Contact-Aware Retargeting of Skinned Motion
Image Co-segmentation via Consistent Functional Maps
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery
Diffusion Model as Representation Learner
Local Context-Aware Active Domain Adaptation
HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
Unsupervised learning of event AND-OR grammar and semantics from video
Learning Trajectory-Word Alignments for Video-Language Tasks
Conformer: Local Features Coupling Global Representations for Visual Recognition
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations
Attention Discriminant Sampling for Point Clouds
Probabilistic Appearance Models for Segmentation and Classification
Dominant Sets and Hierarchical Clustering
Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
Initialization of Deformable Models from 3D Data
The Way They Move: Tracking Multiple Targets with Similar Appearance
THDA: Treasure Hunt Data Augmentation for Semantic Navigation
Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images
Rendering Real-World Objects Using View Interpolation
Visual Traffic Knowledge Graph Generation from Scene Images
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
Robust Image Registration using Mixtures of t-distributions
Deep Self-Learning From Noisy Labels
A Model-Based Approach for Automated Feature Extraction in Fundus Images
DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change
Region Similarity Representation Learning
Constrained clustering by spectral kernel learning
Deformation Invariant Image Matching
Self-Supervised Object Detection from Egocentric Videos
Depth Estimation using Defocused Stereo Image Pairs
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Annotator rationales for visual recognition
Event Detection in Complex Scenes Using Interval Temporal Constraints
Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation
Structured Light in Scattering Media
Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing
Learning to Super-Resolve Blurry Face and Text Images
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging
Adaptive Template Transformer for Mitochondria Segmentation in Electron Microscopy Images
3D Object Tracking Using Shape-Encoded Particle Propagation
An Algebraic Approach to Surface Reconstruction from Gradient Fields