yusuke1997/dblp-id-title huggingface dataset:
Discriminative Class Tokens for Text-to-Image Diffusion Models
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
A Robot System that Observes and Replicates Grasping Tasks
Efficient Optimization for L-problems using Pseudoconvexity
Self-Supervised Monocular Depth Hints
IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation
Live Repetition Counting
Learning Filter Basis for Convolutional Neural Network Compression
Acquiring 3D Object Models from Specular Motion Using Circular Lights Illumination
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
Understanding egocentric activities
Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics
Consistency-Aware Graph Network for Human Interaction Understanding
Convex Decomposition of Indoor Scenes
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation
BraMBLe: A Bayesian Multiple-Blob Tracker
With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
Fast Video Moment Retrieval
Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement
Stochastic Segmentation with Conditional Categorical Diffusion Models
Learning Spatiotemporal Features with 3D Convolutional Networks
Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Space-Time Localization and Mapping
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Robust Detection of Degenerate Configurations for the Fundamental Matrix
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
Bootstrap Your Own Correspondences
Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
Tracking multiple people under global appearance constraints
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
Multinomial Distribution Learning for Effective Neural Architecture Search
Large-Scale Event Detection Using Semi-Hidden Markov Models
GrabCut in One Cut
The Catchment Feature Model for Multimodal Language Analysis
Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation
Deep Optics for Video Snapshot Compressive Imaging
What is the best multi-stage architecture for object recognition?
Illumination Robust Color Naming via Label Propagation
Weakly Supervised Summarization of Web Videos
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
Causal-DFQ: Causality Guided Data-free Network Quantization
Statistical Context Priming for Object Detection
Invariant-based Registration of Surface Patches
Single-Stage Multi-Person Pose Machines
Probabilistic occlusion boundary detection on spatio-temporal lattices
The NBNN kernel
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Efficient LiDAR Point Cloud Oversegmentation Network
Pose estimation from reflections for specular surface recovery
Symmetry Maps of Free-Form Curve Segments Via Wave Propagation
SIGNET: Efficient Neural Representation for Light Fields
A Biologically Inspired System for Action Recognition
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
HMDB: A large video database for human motion recognition
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
Convex Optimization for Deformable Surface 3-D Tracking
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation
Contrastive Coding for Active Learning under Class Distribution Mismatch
Background Estimation as a Labeling Problem
Examining Autoexposure for Challenging Scenes
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach
Learning Deep Object Detectors from 3D Models
Understanding High-Level Semantics by Modeling Traffic Patterns
TF-Blender: Temporal Feature Blender for Video Object Detection
MGSampler: An Explainable Sampling Strategy for Video Action Recognition
Visio-Temporal Attention for Multi-Camera Multi-Target Association
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
Overwriting Pretrained Bias with Finetuning Data
Filter flow
When Unsupervised Domain Adaptation Meets Tensor Representations
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
Conditional State Space Models for Discriminative Motion Estimation
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation
Learning-Based Hand Sign Recognition Using SHOSLIF-M
Structured Learning of Sum-of-Submodular Higher Order Energy Functions
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
ParCNetV2: Oversized Kernel with Enhanced Attention *
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision
Statistically Consistent Saliency Estimation
Synthesis of Compositional Animations from Textual Descriptions
What do neural networks learn in image classification? A frequency shortcut perspective
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Representing surface curvature discontinuities on curved surfaces
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
Luminance-aware Color Transform for Multiple Exposure Correction
Separating Reflections in Human Iris Images for Illumination Estimation
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
Self-Supervised Vessel Segmentation via Adversarial Learning
Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
MGMAE: Motion Guided Masking for Video Masked Autoencoding
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
Advancing Referring Expression Segmentation Beyond Single Image
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
Implicit Neural Representation for Cooperative Low-light Image Enhancement
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
Accurate line parameters from an optimising Hough Transform for vanishing point detection
FlowNet: Learning Optical Flow with Convolutional Networks
Physics-based Model Acquisition and Identification in Airborne Spectral Images
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality
Graph cuts using a Riemannian metric induced by tensor voting
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images
A Background Layer Model for Object Tracking Through Occlusion
Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
Active Object Localization with Deep Reinforcement Learning
Efficient Deep Space Filling Curve
Indexing via color histograms
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
Black Box Few-Shot Adaptation for Vision-Language models
Indices Matter: Learning to Index for Deep Image Matting
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Recursive Cascaded Networks for Unsupervised Medical Image Registration
Offline Mobile Instance Retrieval with a Small Memory Footprint
Skeleton-based Personality Recognition using Laban Movement Analysis
Improving Stereo Sub-Pixel Accuracy for Long Range Stereo
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Online Video SEEDS for Temporal Window Objectness
Online Motion Segmentation Using Dynamic Label Propagation
Personalized Trajectory Prediction via Distribution Discrimination
Motion Segmentation based on Factorization Method and Discriminant Criterion
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
Boosting Few-Shot Visual Learning With Self-Supervision
Singularities Of Principal Direction Fields From 3-D Images
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
Efficient discriminative learning of parts-based models
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
Multi-Scale Learning for Low-Resolution Person Re-Identification
Online Video Deblurring via Dynamic Temporal Blending Network
Few-shot Continual Infomax Learning
Calibration of Hand-Held Camera Sequences for Plenoptic Modeling
Deep Cropping via Attention Box Prediction and Aesthetics Assessment
Recognizing mice, vegetables and hand printed characters based on implicit polynomials, invariants and Bayesian methods
Fine-Grained Change Detection of Misaligned Scenes with Varied Illuminations
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior
Unleashing Text-to-Image Diffusion Models for Visual Perception
Perceptual Variousness Motion Deblurring with Light Global Context Refinement
Body-Face Joint Detection via Embedding and Head Hook
Accurate and Fast Compressed Video Captioning
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
Teacher Guided Architecture Search
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
A Novel Image Based Verification Method for Respiratory Motion Management in Radiation Therapy
TRIC-track: Tracking by Regression with Incrementally Learned Cascades
A Complete Recipe for Diffusion Generative Models
Detection and Tracking of Multiple Humans with Extensive Pose Articulation
Separation of Multiple Objects in Motion Images by Clustering
A Model of Figure-Ground Segregation from Kinetic Occlusion
Consensus set maximization with guaranteed global optimality for robust geometry estimation
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
Regressive Tree Structured Model for Facial Landmark Localization
A Quantitative Analysis of View Degeneracy and its use for Active Focal Length control
PoGO-Net: Pose Graph Optimization with Graph Neural Networks
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
Multiscale Edge Detection and Fiber Enhancement Using Differences of Oriented Means
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
Ricci Flow for 3D Shape Analysis
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering
Robust Regression with Projection Based M-estimators
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Mosaic Based Representations of Video Sequences and Their Applications
Deep Parametric Indoor Lighting Estimation
Learning Dual Priors for JPEG Compression Artifacts Removal
2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015
A Maximum Entropy Framework for Part-Based Texture and Object Recognition
An extension of Marr's signature based edge classification and other methods determining diffuseness and height of edges, and bar edge width
Sketching with Style: Visual Search with Sketches and Aesthetic Context
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
End-to-end 3D Tracking with Decoupled Queries
Learning People Detectors for Tracking in Crowded Scenes
Dynamic Texture Segmentation
Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
Euclidean Structure from Uncalibrated Images Using Fuzzy Domain Knowledge: Application to Facial Images Synthesis
GAN-Control: Explicitly Controllable GANs
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
Hot or Not: Exploring Correlations between Appearance and Temperature
Scene Graph Generation from Objects, Phrases and Region Captions
MiniROAD: Minimal RNN Framework for Online Action Detection
Accelerate Learning of Deep Hashing With Gradient Attention
Multiple light source optical flow
Optimizing Image Registration by Mutually Exclusive Scale Components
Describing and Localizing Multiple Changes with Transformers
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation
Automatic Registration of 3-D Ultrasound Images
On the Efficacy of Knowledge Distillation
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation
Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials
A Closed-Form Solution to Universal Style Transfer
The surprising impact of mask-head architecture on novel class segmentation
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
Online Continual Learning on Hierarchical Label Expansion
Learning Spatio-Temporal Transformer for Visual Tracking
Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Saliency Detection: A Boolean Map Approach
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
Improve Unsupervised Pretraining for Few-label Transfer
SketchAA: Abstract Representation for Abstract Sketches
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
Smoothness Similarity Regularization for Few-Shot GAN Adaptation
Optimum Fiducials under Weak Perspective Projection
Calibration with Robust Use of Cheirality by Quasi-Affine Reconstruction of the Set of Camera Projection Centres
Deep Meta Functionals for Shape Representation
Order-Aware Generative Modeling Using the 3D-Craft Dataset
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation
Kernel Modeling Super-Resolution on Real Low-Resolution Images
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Optimizing Expected Intersection-Over-Union with Candidate-Constrained CRFs
Learn to Match: Automatic Matching Network Design for Visual Tracking
Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction
Variational Causal Inference Network for Explanatory Visual Question Answering
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Strata-NeRF : Neural Radiance Fields for Stratified Scenes
Robust Principal Component Analysis for Computer Vision
Estimation of Composite Object and Camera Image Motion
Ego-Motion and Omnidirectional Cameras
Learning Spatial Awareness to Improve Crowd Counting
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Space-Time Tradeoffs in Photo Sequencing
Evolving Search Space for Neural Architecture Search
Disentangled High Quality Salient Object Detection
Deep Single-Image Portrait Relighting
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
A Background Model Initialization Algorithm for Video Surveillance
Siamese Networks: The Tale of Two Manifolds
Unsupervised Joint Alignment of Complex Images
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video
DeceptionNet: Network-Driven Domain Randomization
Going Unconstrained with Rolling Shutter Deblurring
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network
Guiding image captioning models toward more specific captions
Detecting Illumination in Images
Privacy-Preserving Face Recognition Using Random Frequency Components
Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Improving 3D Object Detection with Channel-wise Transformer
Understanding and Mapping Natural Beauty
Ensuring Color Consistency across Multiple Cameras
Joint Feature Distributions for Image Correspondence
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
FaceTracker: A Human Face Tracking and Facial Organ Localizing System
Position and radius of spheres from single off-axis catadioptric images
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasets
Sempart: Self-supervised Multi-resolution Partitioning of Image Semantics
Image Matting with KL-Divergence Based Sparse Sampling
iDAG: Invariant DAG Searching for Domain Generalization
Pyramid Dual Domain Injection Network for Pan-sharpening
9th IEEE International Conference on Computer Vision (ICCV 2003), 14-17 October 2003, Nice, France
Filter Selection for Hyperspectral Estimation
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
Nonlinear Manifold Learning for Visual Speech Recognition
STEM: An approach to Multi-source Domain Adaptation with Guarantees
Modeling Scenes with Local Descriptors and Latent Aspects
Domain adaptive semantic diffusion for large scale context-based video annotation
Optimal Corner Detector
Linear Approaches to Camera Calibration from Sphere Images or Active Intrinsic Calibration Using Vanishing Points
Image segmentation by figure-ground composition into maximal cliques
AutoFormer: Searching Transformers for Visual Recognition
Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Object Tracking Using Deformable Templates
Visual Routines for Autonomous Driving
Efficient Higher-Order Clustering on the Grassmann Manifold
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
Non-Linear Beam Model for Tracking Large Deformations
Relation-Aware Graph Attention Network for Visual Question Answering
Parallel Hidden Markov Models for American Sign Language Recognition
MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding
Action Recognition with Global Features
Towards Fairness-aware Adversarial Network Pruning
Heterogeneous feature machines for visual recognition
Signals on Pencils of Lines
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data
Fragmentation in the Vision of Scenes
Face Clustering via Graph Convolutional Networks with Confidence Edges
Bayesian Optimization Meets Self-Distillation
Variational Particle Filter for Multi-Object Tracking
Going Denser with Open-Vocabulary Part Segmentation
De-rendering Stylized Texts
Localization of Deep Inpainting Using High-Pass Fully Convolutional Network
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
Hyperbolic Chamfer Distance for Point Cloud Completion
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Multi-Camera Calibration with One-Dimensional Object under General Motions
Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
Surface Reconstruction By Dynamic Integration Of Focus, Camera Vergence, And Stereo
SS-IL: Separated Softmax for Incremental Learning
Landscape Learning for Neural Network Inversion
LFI-CAM: Learning Feature Importance for Better Visual Explanation
Looking for trouble: Using causal semantics to direct focus of attention
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
Motion Deblurring with Real Events
Robust Tucker Tensor Decomposition for Effective Image Representation
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
Region Segmentation via Deformable Model-Guided Split and Merge
Recovering Human Body Configurations Using Pairwise Constraints between Parts
Independent Motion Detection in 3D Scenes
Probabilistic Visual Learning for Object Detection
Unsupervised metric learning by Self-Smoothing Operator
Im2Calories: Towards an Automated Mobile Vision Food Diary
Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Video Object Segmentation-aware Video Frame Interpolation
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
Non-Markovian Globally Consistent Multi-object Tracking