Academic talks and contributions

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This place is mostly for myself to remember all that I did. On some very rare occasion, it also comes in handy for some academic paperworks.

If you'd like me to speak at your event/conference, feel free to reach out.

Invited Talks

Excluding conference orals, see below for that.

Orals from publications

  • ICML 2024 Workshop: No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models.
  • NeurIPS 2023: Image captioners are scalable vision learners too (CapPa).
  • ICCV 2023: Sigmoid loss for language image pre-training (SigLIP).
  • ICML 2023: Scaling ViT to 22B Parameters.
  • ICLR 2023: PaLI: A Jointly-Scaled Multilingual Language-Image Model.
  • ICLR 2021: Vision Transformer (ViT).
  • ECCV 2020: Big Transfer (BiT).
  • ICCV 2019: Self-supervised Semi-supervised Learning.
  • ICML 2019 Workshop: Revisiting Self-supervised Visual Representation Learning.
  • CVPR 2017 Workshop: Towards a Principled Integration of Multi-Camera Re-Identification and Tracking Through Optimal Bayes Filters.
  • GCPR 2015: BiternionNets.

Academic Community Service

Workshop organizer: - NeurIPS 2021: ImageNet past present future. - CVPR 2022-2024: Transformers 4 Vision 1/2/3. - Google DeepMind 2024: internal workshop on multimodal research.

Area Chair:

Reviewer: (Multiple outstanding reviewer awards which I have since forgotten.) - NeurIPS (2021, 2019) - CVPR (2021, 2020, 2019, 2018, 2017, 2016) - ECCV/ICCV (2019, 2018, 2017, 2016) - ICRA (2018, 2016), IROS (2016), RA-L (2019) - WACV (2021), CVIU (2016)

Misc: - CIFAR reviewer for pan-Canadian AI strategy. - Mentoring at EEML Summer School mentor. - Mentor at CIFAR DLRL faculty mixer. - Google Research interns mentor.

Teaching

  • Upcoming: 07.2024 M2L Summer School lecture (upcoming)
  • 08.2023 RANLP Summer School lecture (page)
  • 06.2023 ACDL Summer School lecture (page)
  • 07.2022 CIFAR DLRL Summer School lecture (page)
  • 10.2022 M2L Summer School lecture (page, slides tweet, recording, feedback)
  • 10.2021 Stanford CS25 Transformers lecture (page, recording)
  • Slides about Licensing and Intellectual Property.
  • Material for two lectures introducing Python to scientists who just learned about Mathematica, Matlab and C.
  • 2015-2017 RWTH Univ. Advanced Machine Learning class TA and co-designer of course
  • 2015 RWTH Univ. Image Processing seminar (co-organizer and supervisor)
  • 2013 RWTH Univ. 3D Computer Vision with Kinect seminar (co-organizer and supervisor)
  • 2012 RWTH Univ. High-Perf. and Sci. Computing seminar (co-organizer and supervisor)
  • 2012 RWTH Univ. Languages for Scientific Computing class TA
  • 2010 RWTH Univ. Systematic Software Engineering tutor
  • 2009 RWTH Univ. Simulation Technology for Mechanical Engineers tutor
  • 2008 RWTH Univ. Simulation Technology 2 tutor
  • 2008 RWTH Univ. Data-structures and Algorithms tutor
  • 2007 RWTH Univ. Introduction to Programming tutor
  • (German) Talk introducing Valgrind to a company I worked at. (As a pdf but looks worse because of missing transitions.)