94 citations · 249 across the 12 of their papers we have counts for
6 papers · 1 filter
Interactive Video Object Segmentation in the Wild
Arnaud Benard, Michael Gygli
In this paper we present our system for human-in-the-loop video object segmentation. The backbone of our system is a method for one-shot video object segmentation. While fast, this…
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Michael Gygli
Shot boundary detection (SBD) is an important component of many video analysis tasks, such as action recognition, video indexing, summarization and editing. Previous work typically…
Query-adaptive Video Summarization via Quality-aware Relevance Estimation
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin +1
Although the problem of automatic video summarization has recently received a lot of attention, the problem of creating a video summary that also highlights elements relevant to a…
PathTrack: Fast Trajectory Annotation with Path Supervision
Santiago Manen, Michael Gygli, Dengxin Dai +1
Progress in Multiple Object Tracking (MOT) has been historically limited by the size of the available datasets. We present an efficient framework to annotate trajectories and use i…
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli, Mohammad Norouzi, Anelia Angelova
We approach structured output prediction by optimizing a deep value network (DVN) to precisely estimate the task loss on different output configurations for a given input. Once the…
AENet: Learning Deep Audio Features for Video Analysis
Naoya Takahashi, Michael Gygli, Luc Van Gool
We propose a new deep network for audio event recognition, called AENet. In contrast to speech, sounds coming from audio events may be produced by a wide variety of sources. Furthe…