DeepTAM: Deep Tracking and Mapping. T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks. BRITS: Bidirectional Recurrent Imputation for Time Series. Pyramidal Recurrent Unit for Language Modeling. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. Convolutional Neural Networ …

Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression. 3D shape retrieval basing on representatives of classes. Approximation Strategies for Incomplete MaxSAT. Future Automation Engineering using Structural Graph Convolutional Neural Networks. New And Surprising Ways to Be Mean. Adversarial NPCs with Coup …

SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. Comparative study of motion detection methods for video surveillance systems. Software Engineering Challenges of Deep Learning. Diagnosing Error in Temporal Action Detectors. Bayesian shape modelling of cross-sectional …