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Webinars

This webpage lists the CML "Lectures on of Crossmodal Learning", organized as part of the CML teaching and education activities in phase 2 of the project. For an overview of our webinars of phase 1, please click here.

All Principal Investigators of the project participate with lectures about the fundamentals of their research on crossmodal learning and integration. Combining insights from psychology, neuroscience, deep-learning, and robotics, the lectures taken together provide a comprehensive overview of methods, software, and recent research results from the CML project.

All lectures are planned for 60 minutes followed by 30 minutes of moderated discussion. Given the diversity of topics and audience, the talks will introduce and explain any special methods and techniques, so that students and researchers of different fields of research will be able to follow. You are invited to participate in the discussion; don't hesitate to prepare and post your questions in advance. During the discussion phase, the moderator will select from the pending questions.

The lectures will be recorded and broadcasted live, but will also be made available for off-line viewing after the event.

Upcoming Talks

  • Title: Homogeneous and Heterogeneous Multimodal Fusion
    Speaker: Prof. Dr. Fuchun Sun, Department of Computer Science, Tsinghua University
    Date: March 16, 2023
    Time: 09:00-10:30 CEST, 16:00-17:30 Beijing (相当于下午4点北京时间)

  • Title: Robust Robot Behaviour
    Speaker: Prof. Dr. Jianwei Zhang, Department of Computer Science, Tsinghua University
    Date: March 17, 2023
    Time: 09:00-10:30 CEST, 16:00-17:30 Beijing (相当于下午4点北京时间)

Zoom Meeting Information

Meeting ID: 644 4966 3613 Passcode: CML_HH_BJ
Zoom (Univ. of Hamburg only): https://uni-hamburg.zoom.us/s/64449663613
Phone one-tap: (Germany) +496971049922,,64449663613#
Telephone: (Germany)+49 69 7104 9922 or +49 69 3807 9883 Meeting ID: 644 4966 3613 Passcode: 913523826

Schedule up to March 2023

Our webinar series will start with two lectures a week, one each on Thursday and Friday. There will be two two-week breaks for the Christmas holidays (Dec-Jan) and the Chinese New Year holidays (Jan 2023).

We also selected a timeslot that we hope fits both European and Asian audience, namely 09:00-10:30 CEST (e.g. Hamburg) which corresponds to 16:00-17:30 Beijing time. The preliminary schedule for our webinar series is as follows:

  • 03.11.2022: Patrick Bruns (A1), The ventriloquist illusion as a tool to study crossmodal learning.
  • 04.11.2022: Ke Zhao and Xiaolan Fu (A1), Sense of Agency in multimodal systems.
  • 10.11.2022: Xingshan Li (C7), CRM: A computational model of Chinese reading.
  • 11.11.2022: Qingqing Qu (C7), A cross-modality perspective on Chinese language processing.
  • 17.11.2022: Michael Rose (B3), Implicit and explicit aspects for human learning and memory.
  • 18.11.2022: Qiufang Fu (B3), Implicit learning and unconscious knowledge.
  • 25.11.2022: Xun Liu (A5, B4), Domain general/specific mechanisms of cognitive control.
  • 01.12.2022: Gui Xue (A3), Cross-modal sequence representations and predictions.
  • 02.12.2022: Guido Nolte (B4, C1), Methods to analyze functional coupling between neural populations from noninvasive electrophysiological recording.
  • 08.12.2022: Bo Hong (C1), A peek into the core structure and manifold of language in human brain.
  • 09.12.2022: Dan Zhang (B1, C1), Taking an inter-brain perspective for understanding emotion and speech.
  • 15.12.2022: Claus Hilgetag (A2), On a connectomic basis of human cognitive abilities.
  • 16.12.2022: Jisong Guan (A2), Exploring the memory traces and its organization in mouse neocortex.
  • Christmas holidays
  • 06.01.2023: Kunlin Wei (C8), Sense of agency in virtual reality and its neural substrate: a brief report of our ongoing research.
  • 12.01.2023: Chris Biemann (C7), Introduction to Natural Language Processing - with a focus on Crossmodal Learning.
  • 13.01.2023: Lihan Chen (C8), Ternus motion as a litmus test for perceptual integration.
  • Chinese New Year
  • 02.02.2023: Frank Steinicke (C8), Modalities in Conflict: Spatial Interaction in the Metaverse.
  • 03.02.2023: Jan Gläscher (C9), Building mental models of others during social decision-making.
  • 09.02.2023: Cornelius Weber (C4), Crossmodal language learning.
  • 10.02.2023: Focko Higgen (A3), Introduction to age-related alterations in brain networks.
  • 16.02.2023: Timo Gerkmann (A6), Generative and Audio-Visual Speech Enhancement.
  • 17.02.2023: Xiaolin Hu (A6), Brain-inspired deep learning models for speech separation.
  • 23.02.2023: Ehsan Yaghoubi / Andre Kelm (A6), Deep learning for audio and image.
  • 24.02.2023: Yizhou Wang (A4), Building Robust Active Vision Agents for Object Tracking and Motion Capture.
  • 02.03.2023: Stefan Wermter / Di Fu (A5, C4), Computational Models and Selective Attention for Human-Robot Interaction.
  • 03.03.2023: Changshui Zhang (A4), Multi-Modal Learning.
  • 09.03.2023: Jun Zhu (B2), Diffusion Models with Applications to Crossmodel Inference.
  • 10.03.2023: Zhiyuan Liu (C4), Large-sale Pre-trained Models: ChatGPT and Beyond.

  • 16.03.2023: Fuchun Sun (B5), Homogeneous and Heterogeneous Multimodal Fusion
  • 17.03.2023: Jianwei Zhang (A4, B5), Robust robot behaviour