activity
20152026
most citedPredicting Important Objects for Egocentric Video Summarization

118 citations · 475 across the 26 of their papers we have counts for

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Showing 2016Show all

8 papers · 1 filter

cs.CV2016

Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search

Chao-Yeh Chen, Kristen Grauman

We propose an efficient approach for activity detection in video that unifies activity categorization with space-time localization. The main idea is to pose activity detection as a…

cs.CV201614 cited

Click Carving: Segmenting Objects in Video with Point Clicks

Suyog Dutt Jain, Kristen Grauman

We present a novel form of interactive video object segmentation where a few clicks by the user helps the system produce a full spatio-temporal segmentation of the object of intere…

cs.CV2016

Summary Transfer: Exemplar-based Subset Selection for Video Summarization

Ke Zhang, Wei-Lun Chao, Fei Sha +1

Video summarization has unprecedented importance to help us digest, browse, and search today's ever-growing video collections. We propose a novel subset selection technique that le…

cs.CV2016

Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance

Chao-Yeh Chen, Kristen Grauman

Understanding images with people often entails understanding their \emph{interactions} with other objects or people. As such, given a novel image, a vision system ought to infer wh…

cs.CV2016

Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly

Hao Jiang, Kristen Grauman

Today's person detection methods work best when people are in common upright poses and appear reasonably well spaced out in the image. However, in many real images, that's not what…

cs.CV2016

Detecting Engagement in Egocentric Video

Yu-Chuan Su, Kristen Grauman

In a wearable camera video, we see what the camera wearer sees. While this makes it easy to know roughly what he chose to look at, it does not immediately reveal when he was engage…