The Beautiful Future
ICCV 2019 본문
HumanPose2D
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Single-Stage Multi-Person Pose Machines
Single-Network Whole-Body Pose Estimation
Imitation Learning for Human Pose Prediction
Imitation Learning for Human Pose Prediction
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
HumanPose3D
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop(SPIN)
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos
Occlusion-Aware Networks for 3D Human Pose Estimation in Video
TexturePose: Supervising Human Mesh Estimation With Texture Consistency
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images
3DPeople: Modeling the Geometry of Dressed Humans
Optimizing Network Structure for 3D Human Pose Estimation
Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image
Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks
Resolving 3D Human Pose Ambiguities With 3D Scene Constraints
Tex2Shape: Detailed Full Human Body Geometry From a Single Image
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera
DeepHuman: 3D Human Reconstruction From a Single Image
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation
Multi-Garment Net: Learning to Dress 3D People From Images
Learning Compositional Neural Information Fusion for Human Parsing
Everybody Dance Now
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild”
HumanPose3D MultiView
Cross View Fusion for 3D Human Pose Estimation
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images
Learnable Triangulation of Human Pose
Teacher Students
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Distilling Knowledge From a Deep Pose Regressor Network
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning
Similarity-Preserving Knowledge Distillation
Distillation-Based Training for Multi-Exit Architectures
Knowledge Distillation via Route Constrained Optimization
A Comprehensive Overhaul of Feature Distillation(CLOVA)
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
Data-Free Learning of Student Networks
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
DSConv: Efficient Convolution Operator
On the Efficacy of Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning
Light-weight Network
Searching for MobileNetV3
ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices
Accelerate CNN via Recursive Bayesian Pruning
Data-Free Quantization Through Weight Equalization and Bias Correction
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays
AdaTransform: Adaptive Data Transformation
Teacher Guided Architecture Search
Improved Techniques for Training Adaptive Deep Networks
HarDNet: A Low Memory Traffic Network
Fast and Practical Neural Architecture Search
Segmentation
YOLACT: Real-Time Instance Segmentation
ETC
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Transformable Bottleneck Networks
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
LIP: Local Importance-Based Pooling
Global Feature Guided Local Pooling
Information Entropy Based Feature Pooling for Convolutional Neural Networks
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