activity
20152026
most citedPredicting Visual Features from Text for Image and Video Caption Retrieval

194 citations · 1.1k across the 147 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.CV2018★ 53 cited

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary

Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6

The 3rd annual installment of the ActivityNet Large- Scale Activity Recognition Challenge, held as a full-day workshop in CVPR 2018, focused on the recognition of daily life, high-…

cs.CV2018★ 6 cited

Pixel-level Semantics Guided Image Colorization

Jiaojiao Zhao, Li Liu, Cees G. M. Snoek +2

While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems o…

cs.CV2018★ 2 cited

Video Time: Properties, Encoders and Evaluation

Amir Ghodrati, Efstratios Gavves, Cees G. M. Snoek

Time-aware encoding of frame sequences in a video is a fundamental problem in video understanding. While many attempted to model time in videos, an explicit study on quantifying vi…

cs.CV2018★ 4 cited

Spatio-Temporal Instance Learning: Action Tubes from Class Supervision

Pascal Mettes, Cees G. M. Snoek

The goal of this work is spatio-temporal action localization in videos, using only the supervision from video-level class labels. The state-of-the-art casts this weakly-supervised…

cs.CV2018★ 21 cited

Pointly-Supervised Action Localization

Pascal Mettes, Cees G. M. Snoek

This paper strives for spatio-temporal localization of human actions in videos. In the literature, the consensus is to achieve localization by training on bounding box annotations…

cs.CV2018

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

Victor Escorcia, Cuong D. Dao, Mihir Jain +2

This paper addresses the problem of spatiotemporal localization of actions in videos. Compared to leading approaches, which all learn to localize based on carefully annotated boxes…

cs.CV2018

Actor and Action Video Segmentation from a Sentence

Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li +1

This paper strives for pixel-level segmentation of actors and their actions in video content. Different from existing works, which all learn to segment from a fixed vocabulary of a…

cs.CV2018

Real-World Repetition Estimation by Div, Grad and Curl

Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders

We consider the problem of estimating repetition in video, such as performing push-ups, cutting a melon or playing violin. Existing work shows good results under the assumption of…

cs.CL2018

The New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval

Spencer Cappallo, Stacey Svetlichnaya, Pierre Garrigues +2

Over the past decade, emoji have emerged as a new and widespread form of digital communication, spanning diverse social networks and spoken languages. We propose to treat these ide…