- Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification
- Thesis: Geometry and Uncertainty in Deep Learning for Computer Vision
- Thesis: Uncertainty Estimation for Object Detection
- Thesis: Uncertainty in Deep Learning
- axiv: Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- axiv: BAYESIAN CONVOLUTIONAL NEURAL NETWORKS WITH BERNOULLI APPROXIMATE VARIATIONAL INFERENCE
- axiv: Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
- axiv: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
- axiv: Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
- axiv: Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
- axiv: Direct Uncertainty Prediction for Medical Second Opinions
- axiv: Efficient Uncertainty Estimation for Semantic Segmentation in Videos
- axiv: Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
- axiv: BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
- axiv: Uncertainty Estimation in One-Stage Object Detection
- axiv: A General Framework for Uncertainty Estimation in Deep Learning
- axiv: Learning an Uncertainty-Aware Object Detector for Autonomous Driving
- Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications
- Towards Safe Autonomous Driving: Capture Uncertainty in Deep Object Detectors
- Uncertainty in Machine Learning
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