Handling Incomplete Heterogeneous Data using VAEs. N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. Deep Defense: Training DNNs with Improved Adversarial Robustness. Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting. Image Super-Resolution via Dual-State Recurrent Network …

Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis – A Review. Face Hallucination Revisited: An Exploratory Study on Dataset Bias. Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement. Learning random points from geometric graphs or orderings. Unifying Bilateral Filtering and Adversa …

Direction-aware Spatial Context Features for Shadow Detection and Removal. In-RDBMS Hardware Acceleration of Advanced Analytics. Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly. Local Interpretable Model-agnostic Explanations of …