An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians. Consistent Robust Adversarial Prediction for General Multiclass Classification. Dynamic Vision Sensors for Human Activity Recognition. Inhibite …

The NES Music Database: A multi-instrumental dataset with expressive performance attributes. SING: Symbol-to-Instrument Neural Generator. Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3. Single Image Reflection Removal Using …

Block-Value Symmetries in Probabilistic Graphical Models. DVC: An End-to-end Deep Video Compression Framework. Switchable Temporal Propagation Network. MGANet: A Robust Model for Quality Enhancement of Compressed Video. DeepFall – Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. Morphosyntactic Tagging with a Meta- …

DetNet: A Backbone network for Object Detection. Deep Bayesian Self-Training. Double Path Networks for Sequence to Sequence Learning. Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. Real-world Anomaly Detection in Surveillance Videos. BRUNO: A Deep Recurrent Model for Exchangeable Data. Generating Informative and …

Resampled Priors for Variational Autoencoders. Doing the impossible: Why neural networks can be trained at all. Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification. Extraction Of Technical Information From Normative Documents Using Automated Methods Based On Ontologies : Application To The Iso 15531 Ma …

Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. Learning in POMDPs with Monte Carlo Tree Search. 3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. The State of the Art in Integrating Machine Learning into Visual Analytics. Adaptive User-Oriented Direct Load-Control of Resid …

Detecting non-causal artifacts in multivariate linear regression models. Neural Control Variates for Variance Reduction. A predictor-corrector method for the training of deep neural networks. Constrained Policy Improvement for Safe and Efficient Reinforcement Learning. Phonology-Augmented Statistical Framework for Machine Transliteration using Limi …

Scene recognition with CNNs: objects, scales and dataset bias. Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs. QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Imag …

Cautious Deep Learning. A Variational Dirichlet Framework for Out-of-Distribution Detection. Improving the Expressiveness of Deep Learning Frameworks with Recursion. Deep Gaussian Processes with Convolutional Kernels. How game complexity affects the playing behavior of synthetic agents. ReMotENet: Efficient Relevant Motion Event Detection for Large …

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning. Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. Variational Approach for Capsule Video Frame Interpolation. Semantic Structure-based Unsupervised Deep Hashing. Baseline: A Library for Rapid Modeling, Experim …