Editorial: Special Issue on Machine Vision with Deep Learning
Learning on the Edge: Investigating Boundary Filters in CNNs
A Simple and Light-Weight Attention Module for Convolutional Neural Networks
Simultaneous Deep Stereo Matching and Dehazing with Feature Attention
Pixelated Semantic Colorization
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading
Modeling Human Motion with Quaternion-Based Neural Networks
Learning Multi-human Optical Flow
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks
Guest Editorial: Special Issue on ACCV 2018
EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection
VOSTR: Video Object Segmentation via Transferable Representations
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
Editor’s Note
KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications
Correction to: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications
End-to-End Learning of Decision Trees and Forests
3D Fluid Flow Estimation with Integrated Particle Reconstruction
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis
Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Gradient Shape Model
Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation
Learning the spatiotemporal variability in longitudinal shape data sets
Incorporating Side Information by Adaptive Convolution
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
Long-Short Temporal–Spatial Clues Excited Network for Robust Person Re-identification
Rooted Spanning Superpixels
Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts
Video Based Face Recognition by Using Discriminatively Learned Convex Models
Deep Learning for Generic Object Detection: A Survey
Semantically Coherent 4D Scene Flow of Dynamic Scenes
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Dual L1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching
Semantic Image Networks for Human Action Recognition
Deep Insights into Convolutional Networks for Video Recognition
Corner Detection Using Multi-directional Structure Tensor with Multiple Scales
Recognizing Profile Faces by Imagining Frontal View
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network
Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
Statistical Modeling of Craniofacial Shape and Texture
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild
Synchronization Problems in Computer Vision with Closed-Form Solutions
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Temporal Action Detection with Structured Segment Networks
Tracking Persons-of-Interest via Unsupervised Representation Adaptation
Shape-From-Template with Curves
Classifier and Exemplar Synthesis for Zero-Shot Learning
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach
Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges
Exploiting Semantics for Face Image Deblurring
Is There Anything New to Say About SIFT Matching?
Deep Image Prior
Light Structure from Pin Motion: Geometric Point Light Source Calibration
MAP Inference Via \(\ell _2\)-Sphere Linear Program Reformulation
Semi-online Multi-people Tracking by Re-identification
The Open Images Dataset V4
Enhanced Balanced Min Cut
A Face Fairness Framework for 3D Meshes
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence
Real-Time Multi-person Motion Capture from Multi-view Video and IMUs
Representation Learning on Unit Ball with 3D Roto-translational Equivariance
Scalable Person Re-Identification by Harmonious Attention
Fine-Grained Person Re-identification
Siamese Dense Network for Reflection Removal with Flash and No-Flash Image Pairs
Gated Fusion Network for Degraded Image Super Resolution
Discriminative Training of Conditional Random Fields with Probably Submodular Constraints
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Visual Social Relationship Recognition
RGB-IR Person Re-identification by Cross-Modality Similarity Preservation
Bottom-Up Scene Text Detection with Markov Clustering Networks
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild
Special Issue: Advances in Architectures and Theories for Computer Vision
Robust Fitting in Computer Vision: Easy or Hard?
Learning SO(3) Equivariant Representations with Spherical CNNs
EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
CornerNet: Detecting Objects as Paired Keypoints
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Differential Scene Flow from Light Field Gradients
GANimation: One-Shot Anatomically Consistent Facial Animation
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
Convolutional Networks with Adaptive Inference Graphs
Group Normalization
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks
Efficient Object Annotation via Speaking and Pointing
Learning to Draw Sight Lines
Refractive Two-View Reconstruction for Underwater 3D Vision
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline
Special Issue on Deep Learning for Robotic Vision
Learning 3D Shape Completion Under Weak Supervision
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
Image-Based Geo-Localization Using Satellite Imagery
Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
SeDAR: Reading Floorplans Like a Human—Using Deep Learning to Enable Human-Inspired Localisation
Cognitive Mapping and Planning for Visual Navigation
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image
Model-Based Robot Imitation with Future Image Similarity
Correction to: Model-Based Robot Imitation with Future Image Similarity
Special Issue on Generating Realistic Visual Data of Human Behavior
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos
Realistic Speech-Driven Facial Animation with GANs
A Weakly Supervised Multi-task Ranking Framework for Actor–Action Semantic Segmentation
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
Towards High Fidelity Face Frontalization in the Wild
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
DGPose: Deep Generative Models for Human Body Analysis
Guest Editorial: Generative Adversarial Networks for Computer Vision
Discriminative Region Proposal Adversarial Network for High-Quality Image-to-Image Translation
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
Layout2image: Image Generation from Layout
Discriminator Feature-Based Inference by Recycling the Discriminator of GANs
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Adversarial Confidence Learning for Medical Image Segmentation and Synthesis
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
High-Quality Video Generation from Static Structural Annotations
Compositional GAN: Learning Image-Conditional Binary Composition
Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters
Inferring 3D Shapes from Image Collections Using Adversarial Networks
RoCGAN: Robust Conditional GAN
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval
Densifying Supervision for Fine-Grained Visual Comparisons
GADE: A Generative Adversarial Approach to Density Estimation and its Applications
Towards Photo-Realistic Facial Expression Manipulation
Efficient Visual Recognition
A Survey of Deep Facial Attribute Analysis
Hardware-Centric AutoML for Mixed-Precision Quantization
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs
Learning an Evolutionary Embedding via Massive Knowledge Distillation
SSN: Learning Sparse Switchable Normalization via SparsestMax
Rectified Wing Loss for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks
Multi-task Compositional Network for Visual Relationship Detection
Disentangled Representation Learning of Makeup Portraits in the Wild
Fine-Grained Multi-human Parsing
A General Framework for Deep Supervised Discrete Hashing
Learning Multifunctional Binary Codes for Personalized Image Retrieval
Unified Binary Generative Adversarial Network for Image Retrieval and Compression
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
Hadamard Matrix Guided Online Hashing
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing
Product Quantization Network for Fast Visual Search
Tensorized Multi-view Subspace Representation Learning
