Deep Learning
Regularization and Sparsity for Adversarial Robustness and Stable Attribution
Self-Competitive Neural Networks
A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More
Biologically Inspired Sleep Algorithm for VariationalAuto-Encoders
A Deep Genetic Programming based Methodology for Art Media Classification Robust to Adversarial Perturbations
rcGAN: Learning a generative model for arbitrary size image generation
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Uncertainty Estimates in Deep Generative Models using Gaussian Processes
Segmentation
Towards Optimal Ship Navigation Using Image Processing
Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation
CSC-GAN: Cycle and semantic consistency for dataset augmentation
Improvements on the Superpixel Hierarchy Algorithm with Applications to Image Segmentation and Saliency Detection
Visualization
Referenced Based Color Transfer for Medical Volume Rendering
An Empirical Methodological Study of Evaluation Methods Applied to Educational Timetabling Visualizations
Real-Time Contrast Enhancement for 3DMedical Images using Histogram Equalization
Flow Map Processing by Space-Time Deformation
GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts
Video Analysis and Event Recognition
An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores
Fully Autonomous UAV-based Action Recognition System Using Aerial Imagery
Hierarchical Action Classification with Network Pruning
An Approach Towards Action Recognition using Part Based Hierarchical Fusion
ST: Computational Bioimaging
Ensemble Convolutional Neural Networks for the Detection of Microscopic Fusarium Oxysporum
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
Multi-Label Classification of Panoramic Radiographic Images using a Convolutional Neural Network
Ink Marker Segmentation in Histopathology Images Using Deep Learning
P-FideNet: Plasmodium Falciparum Identification Neural Network
Applications
Lightless Fields: Enhancement and Denoising of Light-defficient Light Fields
FA3D: Fast and Accurate 3D Object Detection
Generalized Inverted Dirichlet Optimal predictor for Image inpainting
BVNet: A 3D End-to-end Model Based on Point Cloud
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze
Biometrics
Deep Partial Occlusion Facial Expression Recognition via Improved CNN
Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation
Controlled AutoEncoders to Generate Faces from Voices
Gender and Age Estimation without Facial Information from Still Images
Face Reenactment Based Facial Expression Recognition
Motion and Tracking
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras
TAGCN: Topology-Aware Graph Convolutional Network for Trajectory Prediction
3D articulated body model using anthropometric control points and an articulation video
Body Motion Analysis for Golf Swing Evaluation
Computer Graphics
Simulation of High-Definition Pixel-Headlights
ConcurrentHull: A Fast Parallel Computing Approach to the Convex Hull Problem
A Data-Driven Creativity Measure for 3D Shapes
Virtual Reality
Walking in a Crowd Full of Virtual Characters: Effects of Virtual Character Appearance on Human Movement Behavior
Improving Chinese Reading Comprehensions of Dyslexic Children via VR Reading
Improving User Experience in Augmented Reality Mirrors with 3D Displays
Passenger Anxiety about Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle
Investigating the Display Fidelity of Popular Head-Mounted Display Systems on Spatial Updating and Learning in VR
ST: Computer Vision Advances in Geo-Spatial Applications and Remote Sensing
Natural Disaster Building Damage Assessment Using a Two-Encoder U-Net
Understanding Flooding Detection Using Overhead Imagery - Lessons Learned
Hyperspectral Image Classification via Pyramid Graph Reasoning
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications
Scene Classification of Remote Sensing Images using convNet Features and Multi-grained Forest.