11 citations · 29 across the 10 of their papers we have counts for
10 papers
Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation
Christopher Funk, Ofer Dagan, Benjamin Noack +1
A key challenge in Bayesian decentralized data fusion is the `rumor propagation' or `double counting' phenomenon, where previously sent data circulates back to its sender. It is of…
Open Set Action Recognition via Multi-Label Evidential Learning
Chen Zhao, Dawei Du, Anthony Hoogs +1
Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world. We propose a new…
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
Dawei Du, Ameya Shringi, Anthony Hoogs +1
Most action recognition datasets and algorithms assume a closed world, where all test samples are instances of the known classes. In open set problems, test samples may be drawn fr…
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado J. Reed, Ritwik Gupta, Shufan Li +7
Large, pretrained models are commonly finetuned with imagery that is heavily augmented to mimic different conditions and scales, with the resulting models used for various tasks wi…
Human Activity Recognition in an Open World
Derek S. Prijatelj, Samuel Grieggs, Jin Huang +6
Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization out…
MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
Daniel Davila, Dawei Du, Bryon Lewis +8
In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for large-scale, video person re-identification (ReID) in the wild. To our knowledge, MEVID…
Cascade Transformers for End-to-End Person Search
Rui Yu, Dawei Du, Rodney LaLonde +4
The goal of person search is to localize a target person from a gallery set of scene images, which is extremely challenging due to large scale variations, pose/viewpoint changes, a…
From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion
Jesse Scott, Christopher Funk, Bharadwaj Ravichandran +3
To gain an understanding of the relation between a given human pose image and the corresponding physical foot pressure of the human subject, we propose and validate two end-to-end…
Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames
Christopher Funk, Savinay Nagendra, Jesse Scott +4
Pose stability analysis is the key to understanding locomotion and control of body equilibrium, with applications in numerous fields such as kinesiology, medicine, and robotics. In…
Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild
Christopher Funk, Yanxi Liu
Humans take advantage of real world symmetries for various tasks, yet capturing their superb symmetry perception mechanism with a computational model remains elusive. Motivated by…