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08/22/2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Generating video stories from text prompts is a complex task. In additio...
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02/22/2023
Connecting Vision and Language with Video Localized Narratives
We propose Video Localized Narratives, a new form of multimodal video an...
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09/25/2022
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
Multiple existing benchmarks involve tracking and segmenting objects in ...
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02/23/2021
STEP: Segmenting and Tracking Every Pixel
In this paper, we tackle video panoptic segmentation, a task that requir...
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11/02/2020
Reducing the Annotation Effort for Video Object Segmentation Datasets
For further progress in video object segmentation (VOS), larger, more di...
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11/28/2019
Siam R-CNN: Visual Tracking by Re-Detection
We present Siam R-CNN, a Siamese re-detection architecture which unleash...
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04/09/2019
BoLTVOS: Box-Level Tracking for Video Object Segmentation
We approach video object segmentation (VOS) by splitting the task into t...
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02/28/2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
This paper addresses the problem of object discovery from unlabeled driv...
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02/25/2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Many of the recent successful methods for video object segmentation (VOS...
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02/10/2019
MOTS: Multi-Object Tracking and Segmentation
This paper extends the popular task of multi-object tracking to multi-ob...
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01/26/2019
4D Generic Video Object Proposals
Many high-level video understanding methods require input in the form of...
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09/19/2018
Towards Large-Scale Video Video Object Mining
We propose to leverage a generic object tracker in order to perform obje...
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07/24/2018
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
We address semi-supervised video object segmentation, the task of automa...
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05/11/2018
Iteratively Trained Interactive Segmentation
Deep learning requires large amounts of training data to be effective. F...
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12/23/2017
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
We explore object discovery and detector adaptation based on unlabeled v...
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12/21/2017
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking
The most common paradigm for vision-based multi-object tracking is track...
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06/28/2017
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
We tackle the task of semi-supervised video object segmentation, i.e. se...
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08/02/2016
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
In this work we release our extensible and easily configurable neural ne...
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06/22/2016