activity
20182022
most citedLearning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks

27 citations · 44 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 17 cited

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, Annika Reinke, Vivienn Weru +352

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…

cs.CV2019

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

Pengfei Li, Weichao Qiu, Michael Peven +2

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 poo…

cs.CV2019

DASZL: Dynamic Action Signatures for Zero-shot Learning

Tae Soo Kim, Jonathan D. Jones, Michael Peven +6

There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large. This makes end-to-end supervised training o…

cs.CV2019

Action Recognition Using Volumetric Motion Representations

Michael Peven, Gregory D. Hager, Austin Reiter

Traditional action recognition models are constructed around the paradigm of 2D perspective imagery. Though sophisticated time-series models have pushed the field forward, much of…

cs.CV2018★ 27 cited

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

Cong Gao, Xingtong Liu, Michael Peven +2

Robotic surgery has been proven to offer clear advantages during surgical procedures, however, one of the major limitations is obtaining haptic feedback. Since it is often challeng…