Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation. Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. Cooperative Learning of Disjoint Syntax and Semantics. Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Loc …

ProductNet: a Collection of High-Quality Datasets for Product Representation Learning. Single-Stage Multi-Person Pose Machines. STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. Opponent Aware Reinforcement Learning. Identifying and Analyzing Cryptocurrency Manipulations in Social Media. GAC-GAN: A General Method for Ap …

Evaluating the Representational Hub of Language and Vision Models. Gradient Flows and Accelerated Proximal Splitting Methods. Improving Action Localization by Progressive Cross-stream Cooperation. Embedded Constrained Feature Construction for High-Energy Physics Data Classification. Predictive Coding as Stimulus Avoidance in Spiking Neural Networks …

Towards Efficient Discrete Integration via Adaptive Quantile Queries. Data Interpretation Support in Rescue Operations: Application for French Firefighters. A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records. Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents. ACTNET: end-to-end learn …

Method and System for Image Analysis to Detect Cancer. Three Branches: Detecting Actions With Richer Features. Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization. Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators. Using machine learning to construct velocity fields from OH-PLIF ima …