Search Results for author: Victor Escorcia

Found 13 papers, 6 papers with code

Egocentric Action Recognition by Video Attention and Temporal Context

no code implementations3 Jul 2020 Juan-Manuel Perez-Rua, Antoine Toisoul, Brais Martinez, Victor Escorcia, Li Zhang, Xiatian Zhu, Tao Xiang

In this challenge, action recognition is posed as the problem of simultaneously predicting a single `verb' and `noun' class label given an input trimmed video clip.

Action Recognition

Temporal Localization of Moments in Video Collections with Natural Language

2 code implementations30 Jul 2019 Victor Escorcia, Mattia Soldan, Josef Sivic, Bernard Ghanem, Bryan Russell

In this paper, we introduce the task of retrieving relevant video moments from a large corpus of untrimmed, unsegmented videos given a natural language query.

Moment Retrieval Temporal Localization

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary

no code implementations11 Aug 2018 Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia, Ranjay Krishna, Shyamal Buch, Cuong Duc Dao

The guest tasks focused on complementary aspects of the activity recognition problem at large scale and involved three challenging and recently compiled datasets: the Kinetics-600 dataset from Google DeepMind, the AVA dataset from Berkeley and Google, and the Moments in Time dataset from MIT and IBM Research.

Activity Recognition

Diagnosing Error in Temporal Action Detectors

1 code implementation ECCV 2018 Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem

Despite the recent progress in video understanding and the continuous rate of improvement in temporal action localization throughout the years, it is still unclear how far (or close?)

Temporal Action Localization Video Understanding

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

2 code implementations5 Apr 2018 Victor Escorcia, Cuong D. Dao, Mihir Jain, Bernard Ghanem, Cees Snoek

Second, we propose an actor-based attention mechanism that enables the localization of the actions from action class labels and actor proposals and is end-to-end trainable.

Action Localization Weakly Supervised Action Localization

ActivityNet Challenge 2017 Summary

no code implementations22 Oct 2017 Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Ranjay Khrisna, Victor Escorcia, Kenji Hata, Shyamal Buch

The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.

Activity Recognition

SCC: Semantic Context Cascade for Efficient Action Detection

no code implementations CVPR 2017 Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem

Despite the recent advances in large-scale video analysis, action detection remains as one of the most challenging unsolved problems in computer vision.

Action Detection

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

1 code implementation CVPR 2015 Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles

In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can recognize.

Action Detection Action Recognition +2

On the Relationship Between Visual Attributes and Convolutional Networks

no code implementations CVPR 2015 Victor Escorcia, Juan Carlos Niebles, Bernard Ghanem

One of the cornerstone principles of deep models is their abstraction capacity, i. e. their ability to learn abstract concepts from `simpler' ones.

Object Recognition Zero-Shot Learning

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