4 papers
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…
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…
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…
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…