Core AI

Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering CVPR 2019 A Strong and Robust Baseline for Text-Image Matching ACL 2019 Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions CVPR 2019 Attention Branch Network: Learning of Attention Mechanism for Visual Explanation CVPR 2019 Attention-Guided Network for Ghost-Free High Dynamic Range Imaging CVPR 2019 AutoAugment: Learning Augmentation Strategies From Data CVPR 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation CVPR 2019 Building Efficient Deep Neural Networks With Unitary Group Convolutions CVPR 2019 CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth CVPR 2019 Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts ACL 2019 Certifying Geometric Robustness of Neural Networks NeurIPS 2019 Chirality Nets for Human Pose Regression NeurIPS 2019 Classification Accuracy Score for Conditional Generative Models NeurIPS 2019 Classifier-Agnostic Saliency Map Extraction AAAI 2019 Combinatorial Persistency Criteria for Multicut and Max-Cut CVPR 2019 Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex NeurIPS 2019 Connecting Touch and Vision via Cross-Modal Prediction CVPR 2019 Connective Cognition Network for Directional Visual Commonsense Reasoning NeurIPS 2019 Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels CVPR 2019 ContextDesc: Local Descriptor Augmentation With Cross-Modality Context CVPR 2019 Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision ICCV 2019 Convolutional Neural Networks Can Be Deceived by Visual Illusions CVPR 2019 Co-Occurrence Neural Network CVPR 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019