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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime app...

Supervised random walks

Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which intera...

Is object localization for free? - Weakly-supervised learning with convolutional neural networks

Successful methods for visual object recognition typically rely on training datasets containing lots of richly annotated images. Detailed image annotation, e.g. by object boundi...

What Makes for Effective Detection Proposals?

Current top performing object detectors employ detection proposals to guide the search for objects, thereby avoiding exhaustive sliding window search across images. Despite the ...