computer vision

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020 RoboTHOR: An Open Simulation-to-Real Embodied AI Platform CVPR 2020 Robust Learning Through Cross-Task Consistency CVPR 2020 Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020 ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020 Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers ACL 2020 Spatial Pyramid Based Graph Reasoning for Semantic Segmentation CVPR 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020 Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters WACV 2020 Training binary neural networks with real-to-binary convolutions ICLR 2020 UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging NeurIPS 2020 Unsupervised Learning for Intrinsic Image Decomposition From a Single Image CVPR 2020 Visually Imbalanced Stereo Matching CVPR 2020 Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020 Adaptive GNN for Image Analysis and Editing NeurIPS 2019 Adaptively Connected Neural Networks CVPR 2019 A Fourier Perspective on Model Robustness in Computer Vision NeurIPS 2019 A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 Attacking Optical Flow ICCV 2019 Block Stability for MAP Inference AISTATS 2019 Certifying Geometric Robustness of Neural Networks NeurIPS 2019 Convolutional Neural Networks Can Be Deceived by Visual Illusions CVPR 2019 Cross-channel Communication Networks NeurIPS 2019 Deep Fitting Degree Scoring Network for Monocular 3D Object Detection CVPR 2019