Search Results for author: Michael Peven

Found 5 papers, 1 papers with code

Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints

no code implementations9 Dec 2019 Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille

Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poor.

Car Pose Estimation

DASZL: Dynamic Action Signatures for Zero-shot Learning

no code implementations8 Dec 2019 Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager

There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.

Action Detection Activity Detection +3

Action Recognition Using Volumetric Motion Representations

1 code implementation19 Nov 2019 Michael Peven, Gregory D. Hager, Austin Reiter

In this work, we introduce a novel representation of motion as a voxelized 3D vector field and demonstrate how it can be used to improve performance of action recognition networks.

Action Recognition Data Augmentation +1

Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks

no code implementations31 Jul 2018 Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter

Our method results in a mean absolute error of 0. 814 N in the ex vivo study, suggesting that it may be a promising alternative to hardware based surgical force feedback in endoscopic procedures.

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