yusuke1997/dblp-id-title huggingface dataset:
Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
CASENet: Deep Category-Aware Semantic Edge Detection
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
A Convex Regularize for Reducing Color Artifact in Color Image Recovery
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images
A Physics-Informed Blur Learning Framework for Imaging Systems
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio- Visual Event Perception
Practical Super-Resolution from Dynamic Video Sequences
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Dance With Flow: Two-In-One Stream Action Detection
Adaptive Partial Differential Equation Learning for Visual Saliency Detection
Integrated target tracking and recognition via joint appearance-motion generative models
Stereopsis and image registration from extended edge features in the absence of camera pose information
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks
Efficient Hierarchical Entropy Model for Learned Point Cloud Compression
Deformable models for 3-D medical images using finite elements and balloons
Integrating Grammar and Segmentation for Human Pose Estimation
Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video Segmentation
Style Finder: Fine-Grained Clothing Style Detection and Retrieval
MOVES: Manipulated Objects in Video Enable Segmentation
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation
Learning GMRF Structures for Spatial Priors
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-Aware Spatio-Temporal Sampling
Bayes optimal kernel discriminant analysis
Segment Anything Model for Road Network Graph Extraction
Continual Reinforcement Learning in 3D Non-stationary Environments
Object detection using contrast based scale-space
SVM for edge-preserving filtering
Robust Registration and Tracking Using Kernel Density Correlation
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks
Accelerable Lottery Tickets with the Mixed-Precision Quantization
Actor-Critic Instance Segmentation
Fine-tuning Image Transformers using Learnable Memory
Pose estimation for category specific multiview object localization
Towards equitable access to information and opportunity for all: mapping schools with high-resolution Satellite Imagery and Machine Learning
Multi-column deep neural networks for image classification
On evaluating methods for recovering image curve fragments
Multi-Task Learning of Hierarchical Vision-Language Representation
Learning mixed templates for object recognition
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Occlusion detection for ICAO compliant facial photographs
Incremental Few-Shot Instance Segmentation
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
Improved Video Registration using Non-Distinctive Local Image Features
Per-pixel translational symmetry detection, optimization, and segmentation
RTTLC: Video Colorization with Restored Transformer and Test-time Local Converter
Dynamic Traffic Modeling From Overhead Imagery
Multi-Realism Image Compression with a Conditional Generator
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
An Illuminance-Reflectance Model for Nonlinear Enhancement of Color Images
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
Fast and robust hand tracking using detection-guided optimization
Vlogger: Make Your Dream A Vlog
EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task
TPNet: Trajectory Proposal Network for Motion Prediction
Jump-Aware: Player Position Rectification and Identification in Dynamic Sports Using Jump Event Spotting
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Learning the Superpixel in a Non-Iterative and Lifelong Manner
Multidimensional indexing for recognizing visual shapes
Towards Automatic Retrieval of Blink-Based Lexicon for Persons Suffered from Brain-Stem Injury using Video Cameras
FFCV: Accelerating Training by Removing Data Bottlenecks
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
The direct computation of height from shading
CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
Improving Border Localization of Multi-Baseline Stereo Using Border-Cut
Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
Masked Motion Encoding for Self-Supervised Video Representation Learning
Component-based Face Detection
SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Image matching in large scale indoor environment
Learning to Simulate Dynamic Environments With GameGAN
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
3D Dental Model Segmentation with Geometrical Boundary Preserving
Search to Distill: Pearls Are Everywhere but Not the Eyes
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Surface Representation for Point Clouds
Direct structure estimation for 3D reconstruction
Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification
Transparent Object Reconstruction via Coded Transport of Intensity
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence
Bridged Transformer for Vision and Point Cloud 3D Object Detection
Space-Time Neural Irradiance Fields for Free-Viewpoint Video
ShadowCuts: Photometric Stereo with Shadows
Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network
Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory
Shape representation and image segmentation using deformable surfaces
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
AMVH: Asymmetric Multi-Valued hashing
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
Robust Moving Object Detection at Distance in the Visible Spectrum and Beyond Using A Moving Camera
Dualad: Disentangling the Dynamic and Static World for End-to-End Driving
Robust Maximum Likelihood estimation by sparse bundle adjustment using the L1 norm
Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food
An automatic unsupervised classification of MR images in Alzheimer's disease
Egocentric Scene Understanding via Multimodal Spatial Rectifier
Creating Your Editable 3D Photorealistic Avatar with Tetrahedron-constrained Gaussian Splatting
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors
Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification Tasks
Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding
Complete the Look: Scene-Based Complementary Product Recommendation
Merging Deep Neural Networks for Mobile Devices
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
Universal Actions for Enhanced Embodied Foundation Models
Learning Better Lossless Compression Using Lossy Compression
Measuring camera translation by the dominant apical angle
Leverage Interactive Affinity for Affordance Learning
Weak Multi-View Supervision for Surface Mapping Estimation
Federated Incremental Semantic Segmentation
An Overview of the 2004 Workshop on Perceptual Organization in Computer Vision
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Relation3D : Enhancing Relation Modeling for Point Cloud Instance Segmentation
Fast and Accurate Image Super-Resolution Using a Combined Loss
Live Demonstration: NeuroTouch - A Neuromorphic Vision-based Tactile Sensor for Real-Time Gesture Recognition
Self-supervised Video Transformer
MEBOW: Monocular Estimation of Body Orientation in the Wild
Triangulation made easy
ExpertAF: Expert Actionable Feedback from Video
MESA: Matching Everything by Segmenting Anything
Image segmentation with a parametric deformable model using shape and appearance priors
Grounding Answers for Visual Questions Asked by Visually Impaired People
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization
QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers
OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit
Simple Multi-dataset Detection
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
Deep Learning Face Representation from Predicting 10, 000 Classes
Event-based Blurry Frame Interpolation under Blind Exposure
SNI-SLAM: Semantic Neural Implicit SLAM
Fusion of Visual and Ultrasonic Information for Environmental Modelling
Are sparse representations really relevant for image classification?
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference
Action recognition using ballistic dynamics
The Universal Face Encoder: Learning Disentangled Representations Across Different Attributes
Towards Unified INT8 Training for Convolutional Neural Network
Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop
A Fully Progressive Approach to Single-Image Super-Resolution
Diffeomorphic Matching of Distributions: A New Approach for Unlabelled Point-Sets and Sub-Manifolds Matching
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark
Extracting Triangular 3D Models, Materials, and Lighting From Images
Unsupervised Face Recognition from Image Sequences Based on Clustering with Attraction and Repulsion
Enhancing Diversity for Data-free Quantization
Depth from Defocus in the Wild
Overlap Suppression Clustering for Offline Multi-Camera People Tracking
Better Trigger Inversion Optimization in Backdoor Scanning
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
Illumination Invariant Face Recognition Using Thermal Infrared Imagery
Salient Object Detection With Pyramid Attention and Salient Edges
Multi-scale pyramid pooling for deep convolutional representation
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks
RB-Dust - A Reference-based Dataset for Vision-based Dust Removal
Visual Landmarks Detection and Recognition for Mobile Robot Navigation
Finding Folds: On the Appearance and Identification of Occlusion
Variable duration hidden Markov model and morphological segmentation for handwritten word recognition
Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras
Learning Semantic-Aware Dynamics for Video Prediction
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
From region similarity to category discovery
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo
Constrained image segmentation from hierarchical boundaries
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
CP 3 : Channel Pruning Plug-in for Point-Based Networks
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?
Restoration of Hand-Drawn Architectural Drawings using Latent Space Mapping with Degradation Generator
Combining 3D Morphable Models: A Large Scale Face-And-Head Model
Polarization and Phase-Shifting for 3D Scanning of Translucent Objects
Descriptor free visual indoor localization with line segments
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
Ambient occlusion via compressive visibility estimation
Geocoded Terrestrial Mosaics Using Pose Sensors and Video Registration
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
MeaCap: Memory-Augmented Zero-shot Image Captioning
WALT: Watch And Learn 2D amodal representation from Time-lapse imagery
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization
Causal Composition Diffusion Model for Closed-loop Traffic Generation
Seeing With Sound: Long-Range Acoustic Beamforming for Multimodal Scene Understanding
Black-Box Explanation of Object Detectors via Saliency Maps
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
Dynamic Image Stacks
Knowledge Distillation with the Reused Teacher Classifier
Recognizing human group activities with localized causalities
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos
Learning the 3D Fauna of the Web
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
UnweaveNet: Unweaving Activity Stories
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria
Action snippets: How many frames does human action recognition require?
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
TAEF: A cross-distance/environment face recognition method
SASIC: Stereo Image Compression with Latent Shifts and Stereo Attention
Action Unit Memory Network for Weakly Supervised Temporal Action Localization
Robust outlier detection by de-biasing VAE likelihoods
Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding
Blocks That Shout: Distinctive Parts for Scene Classification
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
Black Hole-Driven Identity Absorbing in Diffusion Models
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
Face Recognition: Too Bias, or Not Too Bias?
Learning Longterm Representations for Person Re-Identification Using Radio Signals
Ice hockey player identification via transformers and weakly supervised learning
Accelerated Training of Linear Object Detectors
Road network extraction from airborne LiDAR data using scene context
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
Learning contour-fragment-based shape model with And-Or tree representation
OmniVec2 - A Novel Transformer Based Network for Large Scale Multimodal and Multitask Learning
Robustifying Eye Interaction
Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds
Learning human actions via information maximization
CroCoDL: Cross-device Collaborative Dataset for Localization
Feature Matching in the Dark: Homography-Based RGB-IR Feature Transformation for Low-Light Vision
3D Modeling Using a Statistical Sensor Model and Stochastic Search
Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model
Instance Localization for Self-Supervised Detection Pretraining
Nonverbal Communication Cue Recognition: A Pathway to More Accessible Communication
VEU-Bench: Towards Comprehensive Understanding of Video Editing
FairSSD: Understanding Bias in Synthetic Speech Detectors
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
Page frame segmentation for contextual advertising in print on demand books
Learning message-passing inference machines for structured prediction
Target-referenced Reactive Grasping for Dynamic Objects
Functional Map of the World
Generative Adversarial Image Synthesis With Decision Tree Latent Controller
λτ-space representation of images and generalized edge detector
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks
Contrastive Boundary Learning for Point Cloud Segmentation
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning
Statistical Analysis of Local 3D Structure in 2D Images
Visual Acoustic Matching
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Improving Calibration for Long-Tailed Recognition
Beyond Neurofibrillary Tangles: Explainable AI for Microscopic Tauopathy Classification in Immunofluorescence Imaging
Assisting Users in a World Full of Cameras: A Privacy-Aware Infrastructure for Computer Vision Applications
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders
Multi-Stage Target Recognition Using Modular Vector Quantizers and Multilayer Perceptrons
SMD-Nets: Stereo Mixture Density Networks
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging
Extraction of maximal inscribed disks from discrete Euclidean distance maps
Event-driven stereo vision for fall detection
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
Augmenting Shape with Appearance in Vehicle Category Recognition
Hybrid Joint-Separable Multibody Tracking
Do What You Can, With What You Have: Scale-aware and High Quality Monocular Depth Estimation Without Real World Labels
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking
End-to-End HOI Reconstruction Transformer with Graph-based Encoding
Self-Supervised Neural Aggregation Networks for Human Parsing
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Robust camera self-calibration from monocular images of Manhattan worlds
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
IAUNet: Instance-Aware U-Net
A Deep Convolutional Neural Network with Selection Units for Super-Resolution
ETAD: Training Action Detection End to End on a Laptop
Incremental Focus of Attention for Robust Visual Tracking
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
Condensing Action Segmentation Datasets via Generative Network Inversion
Bayesian sparse representation for hyperspectral image super resolution
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis
Rectified Mosaicing: Mosaics without the Curl
Relational Knowledge Distillation
Model recommendation for action recognition
Self-Critical N-Step Training for Image Captioning
Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated models
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Revisiting the Domain Gap Issue in Non-cooperative Spacecraft Pose Tracking
AniMo: Species-Aware Model for Text-Driven Animal Motion Generation
Gaze Prediction in Dynamic 360° Immersive Videos
Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
From Correspondences to Pose: Non-Minimal Certifiably Optimal Relative Pose Without Disambiguation
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer
FitMe: Deep Photorealistic 3D Morphable Model Avatars
Best Practices for 2-Body Pose Forecasting
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer
Learned Representation-Guided Diffusion Models for Large-Image Generation
U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation
Loose shape model for discriminative learning of object categories
A discriminative CNN video representation for event detection
Indirect Synthetic Attack on Thermal Face Biometric Systems via Visible-to-Thermal Spectrum Conversion
Fetal ECG Extraction on Time-Frequency Domain using Conditional GAN
Building and using a semantivisual image hierarchy
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Database-Guided Segmentation of Anatomical Structures with Complex Appearance
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Arbitrary Style Transfer With Deep Feature Reshuffle
Shape Particle Guided Tissue Classification
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation
Orientation-Aware Deep Neural Network for Real Image Super-Resolution
Reward Learning From Narrated Demonstrations
Iterative Visual Reasoning Beyond Convolutions
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos
GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
VinTAGe: Joint Video and Text Conditioning for Holistic Audio Generation
3D Semantic Trajectory Reconstruction From 3D Pixel Continuum
2D-to-3D image conversion by learning depth from examples
Material Swapping for 3D Scenes using a Learnt Material Similarity Measure
Learned Image Restoration for VVC Intra Coding