5 papers
EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs
Ivan Rodin, Tz-Ying Wu, Kyle Min +4
We introduce EASG-Bench, a question-answering benchmark for egocentric videos where the question-answering pairs are created from spatio-temporally grounded dynamic scene graphs ca…
PhilHumans: Benchmarking Machine Learning for Personal Health
Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah +14
The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other applicati…
Action Scene Graphs for Long-Form Understanding of Egocentric Videos
Ivan Rodin, Antonino Furnari, Kyle Min +2
We present Egocentric Action Scene Graphs (EASGs), a new representation for long-form understanding of egocentric videos. EASGs extend standard manually-annotated representations o…
Untrimmed Action Anticipation
Ivan Rodin, Antonino Furnari, Dimitrios Mavroeidis +1
Egocentric action anticipation consists in predicting a future action the camera wearer will perform from egocentric video. While the task has recently attracted the attention of t…
Predicting the Future from First Person (Egocentric) Vision: A Survey
Ivan Rodin, Antonino Furnari, Dimitrios Mavroedis +1
Egocentric videos can bring a lot of information about how humans perceive the world and interact with the environment, which can be beneficial for the analysis of human behaviour.…