11 citations · 29 across the 10 of their papers we have counts for
5 papers · 1 filter
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…