activity
20162026
most citedThe 2018 DAVIS Challenge on Video Object Segmentation

253 citations · 452 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86

We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage t…

cs.CV2019★ 100 cited

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi +3

We present the 2019 DAVIS Challenge on Video Object Segmentation, the third edition of the DAVIS Challenge series, a public competition designed for the task of Video Object Segmen…

cs.CV2018★ 17 cited

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

Yuhua Chen, Jordi Pont-Tuset, Alberto Montes +1

This paper tackles the problem of video object segmentation, given some user annotation which indicates the object of interest. The problem is formulated as pixel-wise retrieval in…

cs.CV2018★ 253 cited

The 2018 DAVIS Challenge on Video Object Segmentation

Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis +4

We present the 2018 DAVIS Challenge on Video Object Segmentation, a public competition specifically designed for the task of video object segmentation. It builds upon the DAVIS 201…

cs.CV2016★ 82 cited

Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

Alberto Montes, Amaia Salvador, Santiago Pascual +1

This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation t…