Michael Gygli

According to our database, Michael Gygli authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CycleCL: Self-supervised Learning for Periodic Videos.

Matteo Destro, Michael Gygli

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types.

Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Towards Reusable Network Components by Learning Compatible Representations.

Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Object Annotation via Speaking and Pointing.

Michael Gygli, Vittorio Ferrari

Int. J. Comput. Vis., 2020

Training Neural Networks to Produce Compatible Features.

Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari

CoRR, 2020

Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections.

Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Natural Vocabulary Emerges from Free-Form Annotations.

Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari

CoRR, 2019

Fast Object Class Labelling via Speech.

Michael Gygli, Vittorio Ferrari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

AENet: Learning Deep Audio Features for Video Analysis.

Naoya Takahashi, Michael Gygli, Luc Van Gool

IEEE Trans. Multim., 2018

Interactive Video Object Segmentation in the Wild.

Arnaud Benard, Michael Gygli

CoRR, 2018

PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation.

Ana Garcia del Molino, Michael Gygli

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks.

Michael Gygli

Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017

VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production.

Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, András Bódis-Szomorú, Santiago Manén, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Query-adaptive Video Summarization via Quality-aware Relevance Estimation.

Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool

Proceedings of the 2017 ACM on Multimedia Conference, 2017

MediaEval 2017 Predicting Media Interestingness Task.

Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs.

Michael Gygli, Mohammad Norouzi, Anelia Angelova

Proceedings of the 34th International Conference on Machine Learning, 2017

PathTrack: Fast Trajectory Annotation with Path Supervision.

Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2017

Predicting When Eye Fixations Are Consistent.

Anna Volokitin, Michael Gygli, Xavier Boix

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection.

Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool

CoRR, 2016

Analyzing and Predicting GIF Interestingness.

Michael Gygli, Mohammad Soleymani

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness.

Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool

Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition.

Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Predicting When Saliency Maps are Accurate and Eye Fixations Consistent.

Anna Volokitin, Michael Gygli, Xavier Boix

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Video2GIF: Automatic Generation of Animated GIFs from Video.

Michael Gygli, Yale Song, Liangliang Cao

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval.

Sai Srivatsa Ravindranath, Michael Gygli, Luc Van Gool

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Video summarization by learning submodular mixtures of objectives.

Michael Gygli, Helmut Grabner, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Navigation using special buildings as signposts.

Julien Weissenberg, Michael Gygli, Hayko Riemenschneider, Luc Van Gool

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Interacting with Maps, 2014

Creating Summaries from User Videos.

Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

The Interestingness of Images.

Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Fabian Nater, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2013

Sparse Quantization for Patch Description.

Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013