Search Results for author: Chris Bregler

Found 6 papers, 1 papers with code

Cross-Domain Image Manipulation by Demonstration

no code implementations28 Jan 2019 Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation.

Image Manipulation

Towards Accurate Multi-person Pose Estimation in the Wild

no code implementations CVPR 2017 George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

Trained on COCO data alone, our final system achieves average precision of 0. 649 on the COCO test-dev set and the 0. 643 test-standard sets, outperforming the winner of the 2016 COCO keypoints challenge and other recent state-of-art.

Human Detection Keypoint Detection +1

Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras

no code implementations CVPR 2015 Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Micha Andriluka, Chris Bregler, Bernt Schiele, Christian Theobalt

Our approach unites a discriminative image-based joint detection method with a model-based generative motion tracking algorithm through a combined pose optimization energy.

Pose Estimation

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