Category L2S Talk

L2S Talk by Prof R Venkatesh Babu (IISc Bangalore): Controllable and 3D-Aware Diffusion Models, and Leveraging Vision-Language Models for Domain Generalization

22 September 2025, 14.00 h in E1 5 029 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Generative diffusion models have transformed image synthesis, with ongoing challenges in controllability,…

L2S Talk by Prof Bibhu Datta Sahoo (University at Buffalo): Analog and Mixed Signal Circuits and Systems for Emerging Applications

5 September 2025, 14.00 h in H-B 6414 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense”(L2S). Quantum Computing, having the ability to exponentially enhance the raw computing power, and Artificial…

L2S Talk by Dr Joana Grah (Robert Koch Institute): Light and Electron Microscopy Image Analysis with Applications in Public Health Research

21 August 2025, 10.00 h in PB-H 0103 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense”(L2S). In this talk, we present some of the work currently conducted in the Image Analysis…

L2S Talk by Prof Dr Vincent Wallace (UWA, Perth, Australia): Terahertz spectroscopy and imaging, data processing and analysis

2 July 2025, 10.30-12 h in PB-H 0103 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). DFG Research Unit “Learning to Sense” (L2S) Mercator fellow Prof Vincent Wallace…

L2S Talk by Dr Giulia D’Angelo (Czech Technical University Prague): What’s catching your eye? Biologically Inspired Systems for Human-Machine Interaction

19 March 2025,10.30 h (online event) Vision is an exploratory behaviour that relies heavily on the dynamic relationship between actions and sensory feedback.For any agent—whether animal or robotic—processing visual sensory input efficiently is crucial for understanding and interacting with its…

L2S Talk by Paolo Zuzolo (University of Bologna): “Deep spectral features for 3D shape analysis”

20th November 2024, 11-12 h in PB-H 0103 3D shape analysis tasks often involve characterizing a 3D object by an invariant, computationally efficient, and discriminative numerical representation, called shape descriptors. Among those, spectral-based shape descriptors have become increasingly widespread, since the spectrum…

L2S Talk by Prof Sonali Agarwal (Big Data Analytics Lab, Indian Institute of Information Technology): “Addressing Uncertainties and Challenges in Big Data for Healthcare”

24 September 2024, 14-15 h in PB-H 0103 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). This session explores strategies to address uncertainties and challenges in healthcare big…