Michael Gygli

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Video Summarization

Event Recognition

Top Venues

Publications

Matteo Destro, Michael Gygli
CycleCL: Self-supervised Learning for Periodic Videos. WACV (2024)
Matteo Destro, Michael Gygli
CycleCL: Self-supervised Learning for Periodic Videos. CoRR (2023)
Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari
Towards Reusable Network Components by Learning Compatible Representations. AAAI (2021)
Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types. CoRR (2021)
Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari
Training Neural Networks to Produce Compatible Features. CoRR (2020)
Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. ECCV (16) (2020)
Michael Gygli, Vittorio Ferrari
Efficient Object Annotation via Speaking and Pointing. Int. J. Comput. Vis. 128 (5) (2020)
Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. CoRR (2019)
Michael Gygli, Vittorio Ferrari
Efficient Object Annotation via Speaking and Pointing. CoRR (2019)
Michael Gygli, Vittorio Ferrari
Fast Object Class Labelling via Speech. CVPR (2019)
Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari
Natural Vocabulary Emerges from Free-Form Annotations. CoRR (2019)
Ana Garcia del Molino, Michael Gygli
PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation. CoRR (2018)
Michael Gygli
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks. CBMI (2018)
Naoya Takahashi, Michael Gygli, Luc Van Gool
AENet: Learning Deep Audio Features for Video Analysis. IEEE Trans. Multim. 20 (3) (2018)
Arnaud Benard, Michael Gygli
Interactive Video Object Segmentation in the Wild. CoRR (2018)
Ana Garcia del Molino, Michael Gygli
PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation. ACM Multimedia (2018)
Michael Gygli, Vittorio Ferrari
Fast Object Class Labelling via Speech. CoRR (2018)
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. CoRR (2017)
Michael Gygli
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks. CoRR (2017)
Michael Gygli, Mohammad Norouzi, Anelia Angelova
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. CoRR (2017)
Anna Volokitin, Michael Gygli, Xavier Boix
Predicting When Eye Fixations Are Consistent. AAAI Spring Symposia (2017)
Michael Gygli, Mohammad Norouzi, Anelia Angelova
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. ICML (2017)
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. ACM Multimedia (2017)
Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool
PathTrack: Fast Trajectory Annotation with Path Supervision. CoRR (2017)
Naoya Takahashi, Michael Gygli, Luc Van Gool
AENet: Learning Deep Audio Features for Video Analysis. CoRR (2017)
Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong
MediaEval 2017 Predicting Media Interestingness Task. MediaEval (2017)
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
VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks (2017)
Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool
PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV (2017)
Michael Gygli, Yale Song, Liangliang Cao
Video2GIF: Automatic Generation of Animated GIFs from Video. CVPR (2016)
Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition. INTERSPEECH (2016)
Anna Volokitin, Michael Gygli, Xavier Boix
Predicting When Saliency Maps are Accurate and Eye Fixations Consistent. CVPR (2016)
Michael Gygli, Mohammad Soleymani
Analyzing and Predicting GIF Interestingness. ACM Multimedia (2016)
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness. MediaEval (2016)
Michael Gygli, Yale Song, Liangliang Cao
Video2GIF: Automatic Generation of Animated GIFs from Video. CoRR (2016)
Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection. CoRR (2016)
Michael Gygli, Helmut Grabner, Luc Van Gool
Video summarization by learning submodular mixtures of objectives. CVPR (2015)
Sai Srivatsa Ravindranath, Michael Gygli, Luc Van Gool
ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval. MediaEval (2015)
Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Luc Van Gool
Creating Summaries from User Videos. ECCV (7) (2014)
Julien Weissenberg, Michael Gygli, Hayko Riemenschneider, Luc Van Gool
Navigation using special buildings as signposts. MapInteract@GIS (2014)
Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Fabian Nater, Luc Van Gool
The Interestingness of Images. ICCV (2013)
Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool
Sparse Quantization for Patch Description. CVPR (2013)