activity
20172022
most citedPhenaki: Variable Length Video Generation From Open Domain Textual Description

80 citations · 120 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV202280 cited

Phenaki: Variable Length Video Generation From Open Domain Textual Description

Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans +6

We present Phenaki, a model capable of realistic video synthesis, given a sequence of textual prompts. Generating videos from text is particularly challenging due to the computatio…

cs.CV20222 cited

WildQA: In-the-Wild Video Question Answering

Santiago Castro, Naihao Deng, Pingxuan Huang +2

Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the "in the wild" settings, where the videos are recorded outdoors. We…

cs.CV20221 cited

When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs

Oana Ignat, Santiago Castro, Yuhang Zhou +3

We consider the task of temporal human action localization in lifestyle vlogs. We introduce a novel dataset consisting of manual annotations of temporal localization for 13,000 nar…

cs.CV2021

WhyAct: Identifying Action Reasons in Lifestyle Vlogs

Oana Ignat, Santiago Castro, Hanwen Miao +2

We aim to automatically identify human action reasons in online videos. We focus on the widespread genre of lifestyle vlogs, in which people perform actions while verbally describi…

cs.CL2019

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas +3

Sarcasm is often expressed through several verbal and non-verbal cues, e.g., a change of tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the…

cs.CL20177 cited

RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN

Aiala Rosá, Luis Chiruzzo, Mathias Etcheverry +1

This article presents classifiers based on SVM and Convolutional Neural Networks (CNN) for the TASS 2017 challenge on tweets sentiment analysis. The classifier with the best perfor…