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L2S Talks
L2S Talks is the lecture series of the Research Unit. It combines regular talks from both international and national guests as well as internal speakers
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L2S Talk by Moritz Nottebaum (University of Udine): Beyond MACs – Hardware-Aware Neural Network Design for Efficient Inference
30 October 2025, 10.00 h in H-A 7114 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). In this talk, Moritz will present his previous and current research, which mainly focuses on hardware-efficient neural network design. Traditionally, the execution efficiency of deep learning models has…
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L2S Talk by Prof R Venkatesh Babu (IISc Bangalore): Controllable and 3D-Aware Diffusion Models, and Leveraging Vision-Language Models for Domain Generalization
Mon 22 September 2025, 14.00 h in E1 5 029 and ZOOM (link upon request) 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, fairness, and 3D-awareness. We present recent advances that address…
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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 Intelligence (AI), having the ability to impart unprecedented intelligence to connected devices through algorithms that…
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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 research group at the Centre for Artificial Intelligence in Public Health Research (ZKI-PH), Robert Koch…
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L2S Talk by Prof Dr Simeng Qiu (Swansea University): Encoding Angular Information into Computational Imaging
23 July 2025, 10.30-12 h in PB-H 210 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Angular information is applied across domains such as navigation, virtual and augmented reality, and robotics to tackle research problems related to directions and orientations. It can be…
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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 is giving an L2S talk in the ZESS lecture series on Terahertz spectroscopy and imaging,…
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L2S Talk by Prof Michael Wand (University of Mainz): Deep Learning, the Universe and all the Rest
A Personal Perspective on Interdisciplinary Research in Machine Learning 20 March 2025, 16.00 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, Prof Wand will give an overview of activities in his group as well as touch…
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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 environment. The key challenge lies in selectively filtering relevant information from the constant stream of…
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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 is an isometry invariant, and thus is independent of the object’s representation including parametrization and…
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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 data, focusing on concept drift, complex event processing (CEP), and multimodal data integration. Concept drift,…
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L2S Talk by Dr Partha Das (University of Amsterdam): Physics based photometric invariance for image understanding
17 September 2024, 11-12 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). The physics for image formation is known: light from light sources get reflected (and absorbed) by an object and reaches the sensor. Inverting this process is called…
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L2S Talk by Ilya Chugunov (Princeton University): Neural Field Representations of Mobile Computational Photography
26 August 2024, 14-15 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Burst imaging pipelines allow cellphones to compensate for less-than-ideal optical and sensor hardware by computationally merging multiple lower-quality images into a single high-quality output. The main challenge…
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L2S Talk by Prof Onofre Martorell (University of the Balearic Islands): Joint fusion and denoising for multi-exposure sequences
29 April 2024, 16-18 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). Sequences of images taken with different exposure time can be combined by both multi-exposure fusion (MEF) or high dynamic range (HDR) techniques. In both cases, information from…
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L2S Talk by Prof Matthias Uhl (TH Ingolstadt): Behavioral Ethics of Artificial Intelligence
4 March 2024, 17.30-18.30 h at US-C 105 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Behavioral ethics deviates from armchair philosophy by systematically incorporating the moral concepts and intuitions of laypeople. In his talk, Prof Uhl will discuss behavioral approaches to questions…
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L2S Talk by Dr Onofre Martorell: Variational models for High Dynamic Range Video
27 October 2023, 14-15 h at PB-H 0103 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). High Dynamic Range (HDR) reconstruction for multi-exposure video sequences is a very challenging task. Consecutive frames are acquired with alternate exposures times, generally only two or three…
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L2S Talk by Dr Rajiv Joshi (T. J. Watson Research Center, IBM): Variability Aware Design in nm Era
14 August 2023, 13-14 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). As the technology scales, process, voltage, and temperature, variations (PVT) and model inaccuracies impact design yield. In this talk, a predictive analytical technique based on statistical analysis…
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L2S Talk by Jérome Eertmans (UC Louvain): Differentiable Ray Tracing for Telecommunications
17 July 2023, 11-12 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Over the last few decades, ray tracing (RT) has established itself as the method of choice for everything to do with modelling wave propagation. Telecoms being no…
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L2S Talk by Jovita Lukasik (MPI for Informatics Saarbrücken): Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search
5 July 2023, 14-15 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Jovita Lukasik is a Ph.D. candidate in the focus group of Computer Vision in the Data and Web Science Group and in the computer vision and machine…
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L2S Talk by Jack Naylor (Sydney University Robotic Imaging Lab): Through the Looking Glass – Neural Fields for Robotics
7 June 2023, 11-12 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Robotic imaging is an emergent field which seeks to synthesize concepts across computational imaging and robotics to create new cameras and algorithms in aid of extending robotic…
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L2S Talk by Dr John Meshreki (University of Siegen): Modelling Vignetting in Fourier Ptychographic Microscopy
31 May 2023, 10-11 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). John Meshreki completed his masters and PhD in Experimental Particle Physics with the ATLAS experiment at CERN. After his PhD, he started investigating a new research area…
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L2S Talk by Prof Wolfgang Heidrich (KAUST): Learned Optics: Improving Computational Imaging Systems through Deep Learning and Optimization
24 May 2023, 13-14 h in H-C 7327 The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S). Computational imaging systems are based on the joint design of optics andassociated image reconstruction algorithms. Historically, many such systemshave employed simple transform-based reconstruction methods. Modernoptimization methods and…