yusuke1997/dblp-id-title huggingface dataset:
Invariants of three-dimensional contours
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
Automatic Feature Localization in Thermal Images for Facial Expression Recognition
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
MuseChat: A Conversational Music Recommendation System for Videos
A Perspective on Distortions
Identity Preserving Loss for Learned Image Compression
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
Visual Tracking Using Attention-Modulated Disintegration and Integration
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
Three Gaps for Quantisation in Learned Image Compression
Fractional Data Distillation Model for Anomaly Detection in Traffic Videos
Computing spatio-temporal representations of human faces
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
Generative Powers of Ten
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
TriVol: Point Cloud Rendering via Triple Volumes
Detecting Object Boundaries Using Low-, Mid-, and High-level Information
Deep Spherical Quantization for Image Search
Density Adaptive Point Set Registration
PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency
Stochastic Meta-Descent for Tracking Articulated Structures
Robust Partial Fingerprint Recognition
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy
Contrastive Domain Adaptation
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions
A Decomposition Model for Stereo Matching
3D Surveillance A Distributed Network of Smart Cameras for Real-Time Tracking and its Visualization in 3D
Complexity-guided Slimmable Decoder for Efficient Deep Video Compression
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation
Bayesian Human Segmentation in Crowded Situations
Side Adapter Network for Open-Vocabulary Semantic Segmentation
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment
ADINet: Attribute Driven Incremental Network for Retinal Image Classification
A large-scale benchmark dataset for event recognition in surveillance video
MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation
Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic Manipulation
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers
3D edge detection using recursive filtering: application to scanner images
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
Does text attract attention on e-commerce images: A novel saliency prediction dataset and method
Multitwine: Multi-Object Compositing with Text and Layout Control
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Color constancy computation in near-Mondrian scenes using a finite dimensional linear model
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Class-Balanced Training for Deep Face Recognition
YASO
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning
Towards object-based heuristics
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
PETS 2017: Dataset and Challenge
Single-Stage Instance Shadow Detection With Bidirectional Relation Learning
GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks
Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
Learning Metrics From Teachers: Compact Networks for Image Embedding
Alpha Matte Generation from Single Input for Portrait Matting
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Compositional Targeted Multi-Label Universal Perturbations
Dynamic Noise Injection for Facial Expression Recognition In-the-Wild
Detecting Deepfake Videos using Attribution-Based Confidence Metric
Multimodal Learning in Loosely-Organized Web Images
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images
StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
Deflecting Adversarial Attacks With Pixel Deflection
A Refractive Camera for Acquiring Stereo and Super-resolution Images
Generalized Foggy-Scene Semantic Segmentation by Frequency Decoupling
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition
Comparative Study on various Losses for Vehicle Re-identification
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
Window Token Concatenation for Efficient Visual Large Language Models
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation
Generating Mosaics with Minimum Distortions
Iterative MAP and ML Estimations for Image Segmentation
Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations
Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study
Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks
Improved Topological Fiducial Tracking in the reacTIVision System
MIME: Human-Aware 3D Scene Generation
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
FaLRR: A fast low rank representation solver
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images
3D Head Tracking Using Motion Adaptive Texture-Mapping
Learning on Model Weights using Tree Experts
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
G3AN: Disentangling Appearance and Motion for Video Generation
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
Adaptive Plasticity Improvement for Continual Learning
Learning visual flows: A Lie algebraic approach
Intra-frame deblurring by leveraging inter-frame camera motion
A Convolver-Based Real-Time Stereo Machine (SAZAN)
GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding
Face Template Protection Using Deep Convolutional Neural Network
The S-HOCK dataset: Analyzing crowds at the stadium
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
A Robust Multilinear Model Learning Framework for 3D Faces
Image Super-Resolution With Non-Local Sparse Attention
Unsupervised Learning of Dense Shape Correspondence
Deep Regression Forests for Age Estimation
Fast search in Hamming space with multi-index hashing
Radial Distortion Triangulation
The inverse perspective problem from a single view for polyhedra location
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Visual Point Cloud Forecasting Enables Scalable Autonomous Driving
Rotational flows for interpolation between sampled surfaces
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Groupwise morphometric analysis based on high dimensional clustering
Unifying Motion Deblurring and Frame Interpolation with Events
Supervised Masked Knowledge Distillation for Few-Shot Transformers
Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
Robust Kernel Estimation with Outliers Handling for Image Deblurring
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Spatially Adaptive Computation Time for Residual Networks
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
Trainable Projected Gradient Method for Robust Fine-Tuning
Unsupervised Salient Instance Detection
Doppelgangers and Adversarial Vulnerability
Context-aware clustering
Optimal Correction Cost for Object Detection Evaluation
SelFlow: Self-Supervised Learning of Optical Flow
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
A cost minimization approach to edge detection using simulated annealing
GroupMamba: Efficient Group-Based Visual State Space Model
On Poisson solvers and semi-direct methods for computing area based optical flow
Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors
Generalized Relation Modeling for Transformer Tracking
Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening
Open Challenges in Deep Stereo: the Booster Dataset
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
Are CNN Predictions based on Reasonable Evidence?
Inlier Confidence Calibration for Point Cloud Registration
Activity Analysis in Microtubule Videos by Mixture of Hidden Markov Models
Multi-Spectral Imaging and Data Fusion for Real-Time Bleeding Detection
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Gradient domain color restoration of clipped highlights
Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
MICap: A Unified Model for Identity-Aware Movie Descriptions
Rotationally Equivariant 3D Object Detection
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
Unsupervised Person Re-Identification via Softened Similarity Learning
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
Biologically plausible detection of amorphous objects in the wild
Nearest Neighbor Matching for Deep Clustering
Multi-label Ranking from Positive and Unlabeled Data
S2F: Slow-to-Fast Interpolator Flow
Clustering dynamic textures with the hierarchical EM algorithm
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
Combining Magnification and Measurement for Non-Contact Cardiac Monitoring
Degeneracies, Dependencies and their Implications in Multi-body and Multi-Sequence Factorizations
Real-time tracking of unconstrained full-body motion using Niching Swarm Filtering combined with local optimization
Deformable boundary finding influenced by region homogeneity
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
Can Relevance Feedback, Conversational Search and Foundation Models Work Together for Interactive Video Search and Exploration?
CASP: Compression of Large Multimodal Models Based on Attention Sparsity
Learning Neural Light Fields with Ray-Space Embedding
TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search
Deep TEN: Texture Encoding Network
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning
Feature extraction and terrain matching
DC 2 : Dual-Camera Defocus Control by Learning to Refocus
End-to-End Illuminant Estimation Based on Deep Metric Learning
A Directed Sparse Graphical Model for Multi-Target Tracking
Spatial Reflectance Recovery under Complex Illumination from Sparse Images
From active contours to active surfaces
Generalized Multiview Analysis: A discriminative latent space
On Feature Normalization and Data Augmentation
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
Video from nearly still: An application to low frame-rate gait recognition
SelfIs: Self-Sovereign Biometric IDs
In Defense of the Classification Loss for Person Re-Identification
Virtual Sparse Convolution for Multimodal 3D Object Detection
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion
Using differential geometry in R 4 to extract typical features in 3D images
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Globally optimal surface segmentation using regional properties of segmented objects
Explaining the PointNet: What Has Been Learned Inside the PointNet?
Unrolling the Shutter: CNN to Correct Motion Distortions
Exposing GAN-Generated Profile Photos from Compact Embeddings
Differential Attention for Visual Question Answering
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Performance Prediction and Validation for Object Recognition
Mosaic-SDF for 3D Generative Models
Omnidirectional Multi-Object Tracking
Unsupervised Image-to-Image Translation with Generative Prior
XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering
Temperature distribution descriptor for robust 3D shape retrieval
You Only Segment Once: Towards Real-Time Panoptic Segmentation
Finding the Subspace Mean or Median to Fit Your Need
IMDeception: Grouped Information Distilling Super-Resolution Network
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
Flexible Pixel Compositor for Plug-and-Play Multi-Projector Displays
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Deep Sequential Context Networks for Action Prediction
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices
Thermal Image Super-Resolution Challenge - PBVS 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Classification trees with neural network feature extraction
Single-View 3D Object Reconstruction From Shape Priors in Memory
Supervised mid-level features for word image representation
Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Demo : Point-Feature Tracking for Pixel Processor Arrays
Robust Centerline Extraction Framework Using Level Sets
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
TUMTraf V2X Cooperative Perception Dataset
Optimal Geometric Fitting under the Truncated L2-Norm
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition
A shape-from-texture algorithm based on human visual psychophysics
Enforcing stochastic inverse consistency in non-rigid image registration and matching
DECNet: A Non-Contacting Dual-Modality Emotion Classification Network for Driver Health Monitoring
Learning to Localize Little Landmarks
Weakly Supervised Top-down Image Segmentation
Object Detection Using Hierarchical MRF and MAP Estimation
Device-tagged feature-based localization and mapping of wide areas with a PTZ camera
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Estimating the Positions and Postures of Non-Rigid Objects Lacking Sufficient Features based on the Stick and Ellipse Model
Rotation-Invariant Transformer for Point Cloud Matching
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
Cluster-Driven Graph Federated Learning Over Multiple Domains
Establishing motion correspondence
Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features
DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features
DNF: Decouple and Feedback Network for Seeing in the Dark
Visualizing the Resilience of Deep Convolutional Network Interpretations
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty
3D Part-Based Sparse Tracker with Automatic Synchronization and Registration
Enriching object detection with 2D-3D registration and continuous viewpoint estimation
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Virtual Occlusions Through Implicit Depth
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
Sample-level Multi-view Graph Clustering
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering
Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes
Machine-Learned 3D Building Vectorization From Satellite Imagery
Learning a Restricted Bayesian Network for Object Detection
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Video Depth without Video Models
Robust shape recovery from occluding contours using a linear smoother
A large-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Improving the Robustness of Capsule Networks to Image Affine Transformations
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding
Sequential Face Alignment via Person-Specific Modeling in the Wild
From Rain Generation to Rain Removal
Recovering Transparent Shape from Time-of-Flight Distortion
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
Universal Shape of Strong Remote Adversarial Patches for Object Detection with Convolutional Neural Networks
Gait Recognition from Time-Normalized Joint-Angle Trajectories in the Walking Plane
SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
Action Localization with Tubelets from Motion
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches
Indirect Symbolic Correlation Approach to Unsegmented Text Recognition
Better Proposal Distributions: Object Tracking Using Unscented Particle Filter
CACP: Context-Aware Copy-Paste to Enrich Image Content for Data Augmentation
Smooth interpolation of rotational motions
Dataset Efficient Training with Model Ensembling
Self-Supervised Variable Rate Image Compression using Visual Attention
Learning to Schedule Resistant to Adversarial Attacks in Diffusion Probabilistic Models Under the Threat of Lipschitz Singularities
Scale-Space Processing Using Polynomial Representations
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
Adversarial Semantic Alignment for Improved Image Captions
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
How Well Do Self-Supervised Models Transfer?
Interactive Image Segmentation via Backpropagating Refinement Scheme
Multiplicative kernels: Object detection, segmentation and pose estimation
Stochastic-based Patch Filtering for Few-Shot Learning
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
Global Pose Estimation With an Attention-Based Recurrent Network
A multiscale hybrid model exploiting heterogeneous contextual relationships for image segmentation
Learning Unseen Concepts via Hierarchical Decomposition and Composition
Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection
Local grouping for optical flow
Tightness-Aware Evaluation Protocol for Scene Text Detection
Single-Pedestrian Detection Aided by Multi-pedestrian Detection
Video Interaction Recognition using an Attention Augmented Relational Network and Skeleton Data
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
Scene Grammar in Human and Machine Recognition of Objects and Scenes
POCO: Point Convolution for Surface Reconstruction
Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture
Dynamic Geodesic Snakes for Visual Tracking
Hallucinated Neural Radiance Fields in the Wild
V-VIPE: Variational View Invariant Pose Embedding
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
Joint Sparsity-Based Representation and Analysis of Unconstrained Activities
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Real-Time Evaluation in Online Continual Learning: A New Hope
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
DNDNet: Reconfiguring CNN for Adversarial Robustness
3DCapture: 3D Reconstruction for a Smartphone
2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection