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 2020Show all

5 papers · 1 filter

cs.CV2020★ 6 cited

Real-time Semantic Segmentation with Fast Attention

Ping Hu, Federico Perazzi, Fabian Caba Heilbron +4

In deep CNN based models for semantic segmentation, high accuracy relies on rich spatial context (large receptive fields) and fine spatial details (high resolution), both of which…

cs.CV2020

Active Speakers in Context

Juan Leon Alcazar, Fabian Caba Heilbron, Long Mai +4

Current methods for active speak er detection focus on modeling short-term audiovisual information from a single speaker. Although this strategy can be enough for addressing single…

cs.CV2020★ 10 cited

Temporally Distributed Networks for Fast Video Semantic Segmentation

Ping Hu, Fabian Caba Heilbron, Oliver Wang +3

We present TDNet, a temporally distributed network designed for fast and accurate video semantic segmentation. We observe that features extracted from a certain high-level layer of…

cs.CV2020

Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol

Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron +3

The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established…

cs.CV2020

The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos

Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron +3

The problem of Online Human Behaviour Recognition in untrimmed videos, aka Online Action Detection (OAD), needs to be revisited. Unlike traditional offline action detection approac…