activity
20172026
most citedThe ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary

53 citations · 162 across the 33 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022

PIVOT: Prompting for Video Continual Learning

Andrés Villa, Juan León Alcázar, Motasem Alfarra +5

Modern machine learning pipelines are limited due to data availability, storage quotas, privacy regulations, and expensive annotation processes. These constraints make it difficult…

cs.HC2022★ 6 cited

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory…

cs.CV2022

The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing

Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee +2

Machine learning is transforming the video editing industry. Recent advances in computer vision have leveled-up video editing tasks such as intelligent reframing, rotoscoping, colo…

cs.CV2022

Video-ReTime: Learning Temporally Varying Speediness for Time Remapping

Simon Jenni, Markus Woodson, Fabian Caba Heilbron

We propose a method for generating a temporally remapped video that matches the desired target duration while maximally preserving natural video dynamics. Our approach trains a neu…

cs.CV2022★ 7 cited

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding Tasks

Santiago Castro, Fabian Caba Heilbron

Large-scale pretrained image-text models have shown incredible zero-shot performance in a handful of tasks, including video ones such as action recognition and text-to-video retrie…

cs.CV2022

OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos

Merey Ramazanova, Victor Escorcia, Fabian Caba Heilbron +2

Egocentric videos capture sequences of human activities from a first-person perspective and can provide rich multimodal signals. However, most current localization methods use thir…

cs.CV2022★ 1 cited

vCLIMB: A Novel Video Class Incremental Learning Benchmark

Andrés Villa, Kumail Alhamoud, Juan León Alcázar +3

Continual learning (CL) is under-explored in the video domain. The few existing works contain splits with imbalanced class distributions over the tasks, or study the problem in uns…