yusuke1997/dblp-id-title huggingface dataset:
Aggregating gradient distributions into intensity orders: A novel local image descriptor
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
Sport Field Calibration with NeRF-guided Camera Optimization from a Single Image
Intelligent Collaborative Tracking by Mining Auxiliary Objects
Robustness via Curvature Regularization, and Vice Versa
Transfer Sparse Coding for Robust Image Representation
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
Exploiting Temporal State Space Sharing for Video Semantic Segmentation
MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation
Fuzzy foreground detection for infrared videos
Solving the depth interpolation problem on a parallel architecture with a multigrid approach
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
Wasserstein Barycenter for Multi-Source Domain Adaptation
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
LiDAR4D: Dynamic Neural Fields for Novel Space-Time View LiDAR Synthesis
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Accelerating Dataset Distillation via Model Augmentation
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss
Optimal nonlinear pattern restoration from noisy binary figures
Detecting Stable Keypoints From Events Through Image Gradient Prediction
Adversarial Imaging Pipelines
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift
Rotating your face using multi-task deep neural network
TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
EL-Attack: Explicit and Latent Space Hybrid Optimization based General and Effective Attack for Autonomous Driving Trajectory Prediction
Continuous Tracking Within and Across Camera Streams
Robust camera location estimation by convex programming
Learning Conditional Random Fields for Stereo
Thoracic Disease Identification and Localization With Limited Supervision
ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework
Robust video segment proposals with painless occlusion handling
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration
Towards General Robustness Verification of MaxPool-Based Convolutional Neural Networks via Tightening Linear Approximation
Condensing CNNs with Partial Differential Equations
Two-View Geometry Scoring Without Correspondences
Non-Rigid Motion Estimation and Spatio-Temporal Realignment in FMRI
Multi-object detection and behavior recognition from motion 3D data
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining
Meta-Learning With Differentiable Convex Optimization
Learning Multiple Non-linear Sub-spaces Using K-RBMs
Image Registration of Very Large Images via Genetic Programming
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
A Surround View Camera Solution for Embedded Systems
KillingFusion: Non-rigid 3D Reconstruction without Correspondences
Automated feature weighting and random pixel sampling in k-means clustering for terahertz image segmentation
Morphable Reflectance Fields for enhancing face recognition
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection
Learning a distance metric from multi-instance multi-label data
DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform
Deep Incremental Hashing Network for Efficient Image Retrieval
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
3DeformRS: Certifying Spatial Deformations on Point Clouds
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Shape-based object recognition in videos using 3D synthetic object models
Pyramid Ensemble Structure for High Resolution Image Shadow Removal
A Closed Form Solution to Natural Image Matting
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2, 959 Crop and Weed Species
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation
Learning Spatiotemporal T-Junctions for Occlusion Detection
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
Moving vistas: Exploiting motion for describing scenes
Geodesic Computation for Adaptive Remeshing
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering
REIN: Flexible Mesh Generation from Point Clouds
Revisiting Knowledge Distillation via Label Smoothing Regularization
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images
Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context
Structure Preserving Object Tracking
Pulling Things out of Perspective
S 2 MVTC: A Simple Yet Efficient Scalable Multi-View Tensor Clustering
Generalised blurring mean-shift algorithms for nonparametric clustering
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow
Hierarchical Patch Diffusion Models for High-Resolution Video Generation
EBS-EKF: Accurate and High Frequency Event-based Star Tracking
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
New developments on geometric hashing for curve matching
Mobile Exergames - Burn Calories While Playing Games on a Smartphone
Scene Detection In Hollywood Movies and TV Shows
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
Variational Inference for Visual Tracking
Facial action unit detection: 3D versus 2D modality
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Neural Recognition of Dashed Curves with Gestalt Law of Continuity
Spacecraft Time-Series Anomaly Detection Using Transfer Learning
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
Analysis and solutions of the three point perspective pose estimation problem
Deep Semantic Feature Matching
Representation space: an approach to the integration of visual information
Locality in Generic Instance Search from One Example
VS-Net: Voting With Segmentation for Visual Localization
Multi-View Mesh Reconstruction with Neural Deferred Shading
Scene Classification Using Bag-of-Regions Representations
Rethinking Human Motion Prediction with Symplectic Integral
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
Expanded SPAN for Efficient Super-Resolution
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
Learning with Cascade for Classification of Non-Convex Manifolds
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning
UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
A Bayesian Framework for Radar Shape-from-Shading
Uncalibrated photometric stereo based on elevation angle recovery from BRDF symmetry of isotropic materials
Adversarial Diffusion Compression for Real-World Image Super-Resolution
Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
A Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments
LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery
Removal of Image Artifacts Due to Sensor Dust
Uncalibrated Photometric Stereo Under Natural Illumination
LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup
Progressive Ensemble Networks for Zero-Shot Recognition
Ranking Neural Checkpoints
Realtime Anomaly Detection Using Trajectory-Level Crowd Behavior Learning
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking
A Mixture of Manhattan Frames: Beyond the Manhattan World
Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework
UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised Semantic Segmentation
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection
Brush2Prompt: Contextual Prompt Generator for Object Inpainting
NAN: Noise-Aware NeRFs for Burst-Denoising
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Relative pose problem for non-overlapping surveillance cameras with known gravity vector
Real-Time Wide Area Multi-Camera Stereo Tracking
Feature guided motion artifact reduction with structure-awareness in 4D CT images
Constrained planar cuts - Object partitioning for point clouds
Gauging Relational Consistency and Correcting Structural Errors
Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Multi-Scale Deep Neural Networks for Real Image Super-Resolution
Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
End-To-End Projector Photometric Compensation
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy
Persistent Memory Residual Network for Single Image Super Resolution
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
Does Federated Dropout actually work?
Creating and exploring a large photorealistic virtual space
Learning Joint Gait Representation via Quintuplet Loss Minimization
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
Convolutional Image Captioning
ComboGAN: Unrestrained Scalability for Image Domain Translation
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
Cross-Domain Detection via Graph-Induced Prototype Alignment
Morphology-based symbolic image modeling, multi-scale nonlinear smoothing, and pattern spectrum
Interpolation-Based Event Visual Data Filtering Algorithms
GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
High-Resolution Image Synthesis with Latent Diffusion Models
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Modulation transfer function of patch-based stereo systems
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning
A Scalable graph-cut algorithm for N-D grids
An object-dependent hand pose prior from sparse training data
Fully-Automatic Camera-Based Pulse-Oximetry During Sleep
Model-Based approach to Accurate and Consistent 3-D Modeling of Drainage and Surrounding Terrain
JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models
Classification of Proteomic Data with Logistic Kernel Partial Least Squares Algorithm
Distraction-Aware Shadow Detection
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis
InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces
CraftsMan3D: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests
Visual Prompting for One-shot Controllable Video Editing without Inversion
An expert vision system for autonomous land vehicle road following
Hypergraph Attention Networks for Multimodal Learning
Move-in-2D: 2D-Conditioned Human Motion Generation
Efficient rotation invariant object detection using boosted Random Ferns
Blur Aware Calibration of Multi-Focus Plenoptic Camera
Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
Using Galois Theory to Prove Structure from Motion Algorithms are Optimal
Face Forgery Video Detection via Temporal Forgery Cue Unraveling
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval
RORem: Training a Robust Object Remover with Human-in-the-Loop
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting
Towards Open Set Deep Networks
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
Mask-Guided Portrait Editing With Conditional GANs
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity
Variable window Gabor filters and their use in focus and correspondence
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
Distilling Causal Effect of Data in Class-Incremental Learning
Inverse Procedural Modeling of Knitwear
DeepCaps: Going Deeper With Capsule Networks
Transformer-based Multimodal Information Fusion for Facial Expression Analysis
Mining on Manifolds: Metric Learning Without Labels
Learned Low Bitrate Video Compression with Space-Time Super-Resolution
Learned Shape-Tailored Descriptors for Segmentation
Volumetric Bundle Adjustment for Online Photorealistic Scene Capture
Hot-started NAS for Task-specific Embedded Applications
GaTector: A Unified Framework for Gaze Object Prediction
Robust tracking via weakly supervised ranking SVM
Differential Geometry Boosts Convolutional Neural Networks for Object Detection
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion
Dropping Pixels for Adversarial Robustness
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering
Diverse Image Annotation
Packing and Padding: Coupled Multi-index for Accurate Image Retrieval
Can I Trust Your Answer? Visually Grounded Video Question Answering
Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Instance-Aware Dynamic Neural Network Quantization
A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video
The World in an Eye
Multi-modal Scene Reconstruction using Perceptual Grouping Constraints
One-Shot Action Localization by Learning Sequence Matching Network
Visual Commonsense R-CNN
Non-Metric Calibration of Wide-Angle Lenses and Polycameras
Video Motion Segmentation Using New Adaptive Manifold Denoising Model
Stratified learning of local anatomical context for lung nodules in CT images
Bilateral Memory Consolidation for Continual Learning
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Asynchronous Federated Continual Learning
Modeling generic polyhedral objects with constraints
Learning to Film From Professional Human Motion Videos
Radiometric Compensation in a Projector-Camera System Based Properties of Human Vision System
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
Scene Essence
Binocular motion stereo using MAP estimation
A New Nonlinear Dimensionality Reduction Technique for Pose and Lighting Invariant Face Recognition
General Data Association with Possibly Unresolved Measurements Using Linear Programming
Neural Head Reenactment with Latent Pose Descriptors
Adversarial Robustness through the Lens of Convolutional Filters
Single-Shot Refinement Neural Network for Object Detection
Color Constant Ratio Gradients for Image Segmentation and Similarity of Texture Objects
A Probabilistic Framework for Multi-modal Multi-Person Tracking
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps
Inferring Temporal Compositions of Actions Using Probabilistic Automata
Real-Time Periodic Motion Detection, Analysis, and Applications
Scene-agnostic Pose Regression for Visual Localization
Data Distributional Properties As Inductive Bias for Systematic Generalization
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training
Globally optimal hand-eye calibration
StrokeFaceNeRF: Stroke-Based Facial Appearance Editing in Neural Radiance Field
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
Contactless fingerprint identification using level zero features
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
Video, How Do Your Tokens Merge?
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
A Unified, Resilient, and Explainable Adversarial Patch Detector
NL-FFC: Non-Local Fast Fourier Convolution for Image Super Resolution
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
Geometric ℓp-norm feature pooling for image classification
Grounded Video Description
On the Acceleration of Deep Learning Model Parallelism With Staleness
NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions
Scalable active matching
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Data Scaling Laws for End-to-End Autonomous Driving
Classification of Contour Shapes Using Class Segment Sets
A Projective Invariant for Textures
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
Correspondence-Free Material Reconstruction using Sparse Surface Constraints
3-D recognition and shape estimation from image contours using invariant 3-D object curve models
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
The behavior-knowledge space method for combination of multiple classifiers
Instance Feature Caching for Cross-Domain Few-Shot Object Detection
Gradient-directed composition of multi-exposure images
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience
EFHQ: Multi-Purpose ExtremePose-Face-HQ Dataset
A Bayesian Framework for the Local Configuration of Retinal Junctions
Differentiable Rendering-Based Pose-Conditioned Human Image Generation
Colorization as a Proxy Task for Visual Understanding
Multi Domain Learning for Motion Magnification
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
The Visual Centrifuge: Model-Free Layered Video Representations
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
A Minutiae-based Fingerprint Individuality Model
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
Spiking Transformer with Spatial-Temporal Attention
AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
Using Robust Methods for Automatic Extraction of Buildings
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
Split Hierarchical Variational Compression
Learning coarse-to-fine sparselets for efficient object detection and scene classification
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA
Automatic registration of aerial imagery with untextured 3D LiDAR models
Cross-Modality Automatic Face Model Training from Large Video Databases
Deep Degradation Prior for Low-Quality Image Classification
GolfDB: A Video Database for Golf Swing Sequencing