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Motion Segmentation and Its Applications to Depth Ordering and Frame Rate Up-Conversion

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Motion Segmentation and Its Applications to Depth Ordering and Frame Rate Up-Conversion

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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

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Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Vision-based detection of aircrafts and UAVs

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Mean-Field methods for Structured Deep-Learning in Computer Vision

Large-Scale Image Segmentation with Convolutional Networks

Variational Methods for Human Modeling

Large-Scale Image Segmentation with Convolutional Networks

Vision-based detection of aircrafts and UAVs

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence