【CVPR2019】完整論文列表二

CVPR 2019 Paper list No.1001-1294

👉CVPR2019 完整列表一

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論文題目與鏈接

Semantic Component Decomposition for Face Attribute Manipulation

R3 Adversarial Network for Cross Model Face Recognition

Disentangling Latent Hands for Image Synthesis and Pose Estimation

Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network

CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation

P2SGrad: Refined Gradients for Optimizing Deep Face Models

Action Recognition From Single Timestamp Supervision in Untrimmed Videos

Time-Conditioned Action Anticipation in One Shot

Dance With Flow: Two-In-One Stream Action Detection

Representation Flow for Action Recognition

LSTA: Long Short-Term Attention for Egocentric Action Recognition

Learning Actor Relation Graphs for Group Activity Recognition

A Structured Model for Action Detection

Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition

Object Discovery in Videos as Foreground Motion Clustering

Towards Natural and Accurate Future Motion Prediction of Humans and Animals

Automatic Face Aging in Videos via Deep Reinforcement Learning

Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

A Content Transformation Block for Image Style Transfer

BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network

Style Transfer by Relaxed Optimal Transport and Self-Similarity

Inserting Videos Into Videos

Learning Image and Video Compression Through Spatial-Temporal Energy Compaction

Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification

Capture, Learning, and Synthesis of 3D Speaking Styles

Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks

Ray-Space Projection Model for Light Field Camera

Deep Geometric Prior for Surface Reconstruction

Analysis of Feature Visibility in Non-Line-Of-Sight Measurements

Hyperspectral Imaging With Random Printed Mask

All-Weather Deep Outdoor Lighting Estimation

A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring

Viewport Proposal CNN for 360deg Video Quality Assessment

Beyond Gradient Descent for Regularized Segmentation Losses

MAGSAC: Marginalizing Sample Consensus

Understanding and Visualizing Deep Visual Saliency Models

Divergence Prior and Vessel-Tree Reconstruction

Unsupervised Domain-Specific Deblurring via Disentangled Representations

Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution

Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior

A Variational Pan-Sharpening With Local Gradient Constraints

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

Graph Attention Convolution for Point Cloud Semantic Segmentation

Normalized Diversification

Learning to Localize Through Compressed Binary Maps

A Parametric Top-View Representation of Complex Road Scenes

Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network

Self-Supervised Representation Learning by Rotation Feature Decoupling

Weakly Supervised Deep Image Hashing Through Tag Embeddings

Improved Road Connectivity by Joint Learning of Orientation and Segmentation

Deep Supervised Cross-Modal Retrieval

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

Data Representation and Learning With Graph Diffusion-Embedding Networks

Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph

Image-Question-Answer Synergistic Network for Visual Dialog

Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses

Inverse Cooking: Recipe Generation From Food Images

Adversarial Semantic Alignment for Improved Image Captions

Answer Them All! Toward Universal Visual Question Answering Models

Unsupervised Multi-Modal Neural Machine Translation

Multi-Task Learning of Hierarchical Vision-Language Representation

Cross-Modal Self-Attention Network for Referring Image Segmentation

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

Fast Spatio-Temporal Residual Network for Video Super-Resolution

Complete the Look: Scene-Based Complementary Product Recommendation

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

Learning Binary Code for Personalized Fashion Recommendation

Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model

Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery

Grounding Human-To-Vehicle Advice for Self-Driving Vehicles

Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks

Connecting Touch and Vision via Cross-Modal Prediction

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks

Practical Full Resolution Learned Lossless Image Compression

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation

Max-Sliced Wasserstein Distance and Its Use for GANs

Meta-Learning With Differentiable Convex Optimization

RePr: Improved Training of Convolutional Filters

Tangent-Normal Adversarial Regularization for Semi-Supervised Learning

Auto-Encoding Scene Graphs for Image Captioning

Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Cascaded Projection: End-To-End Network Compression and Acceleration

DeepCaps: Going Deeper With Capsule Networks

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs

Constrained Generative Adversarial Networks for Interactive Image Generation

WarpGAN: Automatic Caricature Generation

Explainability Methods for Graph Convolutional Neural Networks

A Generative Adversarial Density Estimator

SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates

High-Quality Face Capture Using Anatomical Muscles

FML: Face Model Learning From Videos

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

3D Hand Shape and Pose Estimation From a Single RGB Image

3D Hand Shape and Pose From Images in the Wild

Self-Supervised 3D Hand Pose Estimation Through Training by Fitting

CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark

Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction

HoloPose: Holistic 3D Human Reconstruction In-The-Wild

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues

Self-Supervised Representation Learning From Videos for Facial Action Unit Detection

Combining 3D Morphable Models: A Large Scale Face-And-Head Model

Boosting Local Shape Matching for Dense 3D Face Correspondence

Unsupervised Part-Based Disentangling of Object Shape and Appearance

Monocular Total Capture: Posing Face, Body, and Hands in the Wild

Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera

DAVANet: Stereo Deblurring With View Aggregation

DVC: An End-To-End Deep Video Compression Framework

SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

“Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors

Unprocessing Images for Learned Raw Denoising

Residual Networks for Light Field Image Super-Resolution

Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers

Second-Order Attention Network for Single Image Super-Resolution

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations

Path-Invariant Map Networks

FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope

Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus

A Sufficient Condition for Convergences of Adam and RMSProp

Guaranteed Matrix Completion Under Multiple Linear Transformations

MAP Inference via Block-Coordinate Frank-Wolfe Algorithm

A Convex Relaxation for Multi-Graph Matching

Pixel-Adaptive Convolutional Neural Networks

Single-Frame Regularization for Temporally Stable CNNs

An End-To-End Network for Generating Social Relationship Graphs

Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization

Defending Against Adversarial Attacks by Randomized Diversification

Rob-GAN: Generator, Discriminator, and Adversarial Attacker

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion

Task-Free Continual Learning

Importance Estimation for Neural Network Pruning

Detecting Overfitting of Deep Generative Networks via Latent Recovery

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks

Characterizing and Avoiding Negative Transfer

Building Efficient Deep Neural Networks With Unitary Group Convolutions

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

AIRD: Adversarial Learning Framework for Image Repurposing Detection

A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

Trust Region Based Adversarial Attack on Neural Networks

PEPSI : Fast Image Inpainting With Parallel Decoding Network

Model-Blind Video Denoising via Frame-To-Frame Training

End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization

Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

Regularizing Activation Distribution for Training Binarized Deep Networks

Robustness Verification of Classification Deep Neural Networks via Linear Programming

Additive Adversarial Learning for Unbiased Authentication

Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation

Adversarial Defense by Stratified Convolutional Sparse Coding

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning

R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

Learning to Learn Image Classifiers With Visual Analogy

Where’s Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection

Weakly Supervised Image Classification Through Noise Regularization

Data-Driven Neuron Allocation for Scale Aggregation Networks

Graphical Contrastive Losses for Scene Graph Parsing

Deep Transfer Learning for Multiple Class Novelty Detection

QATM: Quality-Aware Template Matching for Deep Learning

Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images

FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network

Weakly Supervised Video Moment Retrieval From Text Queries

Content-Aware Multi-Level Guidance for Interactive Instance Segmentation

Greedy Structure Learning of Hierarchical Compositional Models

Interactive Full Image Segmentation by Considering All Regions Jointly

Learning Active Contour Models for Medical Image Segmentation

Customizable Architecture Search for Semantic Segmentation

Local Features and Visual Words Emerge in Activations

Hyperspectral Image Super-Resolution With Optimized RGB Guidance

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

PMS-Net: Robust Haze Removal Based on Patch Map for Single Images

Deep Spherical Quantization for Image Search

Large-Scale Interactive Object Segmentation With Human Annotators

A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images

Task Agnostic Meta-Learning for Few-Shot Learning

Progressive Ensemble Networks for Zero-Shot Recognition

Direct Object Recognition Without Line-Of-Sight Using Optical Coherence

Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning

Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras

Robustness of 3D Deep Learning in an Adversarial Setting

SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations

StereoDRNet: Dilated Residual StereoNet

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation

Learning Joint Reconstruction of Hands and Manipulated Objects

Deep Single Image Camera Calibration With Radial Distortion

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Translate-to-Recognize Networks for RGB-D Scene Recognition

Re-Identification Supervised Texture Generation

Action4D: Online Action Recognition in the Crowd and Clutter

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction

Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition

Generalizing Eye Tracking With Bayesian Adversarial Learning

Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection

Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

AdaptiveFace: Adaptive Margin and Sampling for Face Recognition

Disentangled Representation Learning for 3D Face Shape

LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds

PifPaf: Composite Fields for Human Pose Estimation

TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

Local Temporal Bilinear Pooling for Fine-Grained Action Parsing

Improving Action Localization by Progressive Cross-Stream Cooperation

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition

Learning Spatio-Temporal Representation With Local and Global Diffusion

Unsupervised Learning of Action Classes With Continuous Temporal Embedding

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering

SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM

A Neural Temporal Model for Human Motion Prediction

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation

On Stabilizing Generative Adversarial Training With Noise

Self-Supervised GANs via Auxiliary Rotation Loss

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture

Object-Driven Text-To-Image Synthesis via Adversarial Training

Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination

Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager

Quasi-Unsupervised Color Constancy

Deep Defocus Map Estimation Using Domain Adaptation

Using Unknown Occluders to Recover Hidden Scenes

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Learning Parallax Attention for Stereo Image Super-Resolution

Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications

Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset

Focus Is All You Need: Loss Functions for Event-Based Vision

Scalable Convolutional Neural Network for Image Compressed Sensing

Event Cameras, Contrast Maximization and Reward Functions: An Analysis

Convolutional Neural Networks Can Be Deceived by Visual Illusions

PDE Acceleration for Active Contours

Dichromatic Model Based Temporal Color Constancy for AC Light Sources

Semantic Attribute Matching Networks

Skin-Based Identification From Multispectral Image Data Using CNNs

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments

PIEs: Pose Invariant Embeddings

Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning

Object Counting and Instance Segmentation With Image-Level Supervision

Variational Autoencoders Pursue PCA Directions (by Accident)

A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval

Depth Coefficients for Depth Completion

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

Good News, Everyone! Context Driven Entity-Aware Captioning for News Images

Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding

Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

Pointing Novel Objects in Image Captioning

Informative Object Annotations: Tell Me Something I Don’t Know

Engaging Image Captioning via Personality

Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

A Simple Baseline for Audio-Visual Scene-Aware Dialog

End-To-End Learned Random Walker for Seeded Image Segmentation

Efficient Neural Network Compression

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms

C3AE: Exploring the Limits of Compact Model for Age Estimation

Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology

In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images

Context-Aware Visual Compatibility Prediction

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks

Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation

Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation

An Alternative Deep Feature Approach to Line Level Keyword Spotting

Dynamics Are Important for the Recognition of Equine Pain in Video

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

PointPillars: Fast Encoders for Object Detection From Point Clouds

Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data

Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting