100 citations · 118 across the 4 of their papers we have counts for
6 papers · 1 filter
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models
Harshit, Tolga Tasdizen
The recent developments in deep learning led to the integration of natural language processing (NLP) with computer vision, resulting in powerful integrated Vision and Language Mode…
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…
Fast video object segmentation with Spatio-Temporal GANs
Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer +2
Learning descriptive spatio-temporal object models from data is paramount for the task of semi-supervised video object segmentation. Most existing approaches mainly rely on models…
Iterative Deep Learning for Road Topology Extraction
Carles Ventura, Jordi Pont-Tuset, Sergi Caelles +2
This paper tackles the task of estimating the topology of road networks from aerial images. Building on top of a global model that performs a dense semantical classification of the…
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…
Iterative Deep Learning for Network Topology Extraction
Carles Ventura, Jordi Pont-Tuset, Sergi Caelles +2
This paper tackles the task of estimating the topology of filamentary networks such as retinal vessels and road networks. Building on top of a global model that performs a dense se…