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03/24/2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Transfer learning enables to re-use knowledge learned on a source task t...
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04/08/2020
Training Neural Networks to Produce Compatible Features
This paper makes a first step towards compatible and hence reusable netw...
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11/28/2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
In interactive object segmentation a user collaborates with a computer v...
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06/04/2019
Natural Vocabulary Emerges from Free-Form Annotations
We propose an approach for annotating object classes using free-form tex...
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05/25/2019
Efficient Object Annotation via Speaking and Pointing
Deep neural networks deliver state-of-the-art visual recognition, but th...
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11/23/2018
Fast Object Class Labelling via Speech
Object class labelling is the task of annotating images with labels on t...
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04/18/2018
PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation
Highlight detection models are typically trained to identify cues that m...
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12/31/2017
Interactive Video Object Segmentation in the Wild
In this paper we present our system for human-in-the-loop video object s...
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05/23/2017
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Shot boundary detection (SBD) is an important component of many video an...
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05/01/2017
Query-adaptive Video Summarization via Quality-aware Relevance Estimation
Although the problem of automatic video summarization has recently recei...
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03/13/2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
We approach structured output prediction by optimizing a deep value netw...
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03/07/2017
PathTrack: Fast Trajectory Annotation with Path Supervision
Progress in Multiple Object Tracking (MOT) has been historically limited...
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01/03/2017
