Meeting of the Members
Today we had a very fruitful discussion of short and long term ideas on future projects among the ZESS members!
Category ZESS Events
*Dr* Faisal Ahmed
Congratulations Dr Faisal Ahmed on successfully defending his PhD thesis! Many thanks to Miguel Heredia Conde and Paula López Martínez for their supervision as well as to MENELAOS-NT for funding the research under the umrbella of MarieCurieITN.
External Advisory Board Meeting 2024
On 22 November the annual meeting of the external advisory board (EAB) took place at ZESS. We were especially happy that both the head of the university, rector Prof Stefanie Reese, and dean, Prof Holger Schönherr, made the time to…
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…
Energiewende in Südwestfalen [in German]
Donnerstag, 17 Oktober 2024, 17-19 h in in PB-A 119 Veranstaltung in Kooperation mit dem VDI Bezierksverein Siegen Nach dem Eröffnungsvortrag über gelungene Kooperationen zwischen Zivilgesellschaftlichen Initiativen und universitärer Forschung durch Prof. Dr. Peter Kraemer (ZESS, Lehrstuhl für für Mechanik…
KI für Bildsensorik – 88. Heidelberger Bildverarbeitungsforum + ZESS & Lamarr-Tag [in German]
Dienstag, 19 November 2024, 10-18 h, US-S & ZESS Weitere Informationen zum Heidelberger Programmflyer Heidelberger Bildverarbeitungsforum & Open ZESS/Lamarr-Day Übersicht Open ZESS/Lamarr-Day Das ZESS ist am 19. November 2024 Gastgeber für das Schwerpunktthema “KI für Bildsensorik” des…
Seasonal School “Intelligence in chips”
IEEE circuits and system society, Germany chapter together with Kerala chapter announces the third annual seasonal school on “Intelligence in chips” from 16th to 19 October 2024. This entirely online seasonal school is free to attend and will contain lectures…
*Dr* Jonas Hölzer!
Congratulations Dr Jonas Hölzer (second from right) for successfully defending his PhD on Optimisation of non Lineaer, Laser Based Measuring Methods for the Characterisation of Reactive Flows” with summa cum laude at ZESS. We are happy that Jonas stays with…
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…
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…
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…
Prof Ankit Gangwal (IIIT Hyderabad): “Stealing Credentials from Mobile Password Managers”
2 July 2024, 14-15 h in PB-H 0103 This talk focuses on modern mobile password managers and presents a novel attack called AutoSpill (Best Paper Award at CODASPY ’23 and BlackHat EU Briefings ’23). AutoSpill on Android password manager leaks users’…
Full House at ZESS – PhD Research Forum 2024
On 22nd of May the annual PhD Research Forum took place at ZESS A busy crowd discussed 30 lightning talks and posters on a variety of aspects relating to sensor technology. The presentations enabled constructive exchange between students, PhD candidates,…
*Dr.* Alexander Hoelzemann!
Thanks to PhD committee members Roland Wismüller, Qin Lv and Madjid Fathi.
*Dr* Jochen Kempfle!
Congratulations Dr Jochen Kempfle for successfully defending his PhD at ZESS!
*Dr* Sanhita Guha Pour!
Last week on Monday 8 April, Dr Sanhita Guha Pour (center) has successfully defended her PhD with a talk on Radar Band Fusion for Improved Range Resolution using Compressed Sensing. While not the first PhD within MENELAOS NT to defend…
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…
Meeting of ZESS Members
At ZESS meeting yesterday Prof. Ivo Ihrke received a warm welcome as our latest full member – great to have you! After learning that we just had the best year in the history of ZESS in terms of third party…
Dr Manuel Dietrich (Honda Research Institute Europe): Designing AI-powered technologies to align with social norms in human environments
23 April 2024, 13-14 h in PB-H 0103 AI-powered systems navigating everyday human environments can pose challenges to individual’s ethical and social values, presenting particular issues, when systems act upon their own initiative without strong oversight. In my talk, I…
L2S Retreat 2024
The DFG research unit 5336 “Learning to Sense”, which is hosted at ZESS, had a very robust retreat at Mannheim castle last week. We were joined by friends and colleagues from adjacent fields, ensuring massive input/massive output (MIMO). Thanks everybody…
Dr Jing Ren (ETH Zurich): Shape matching and map space exploration via functional maps
26 March 2024, 13-14 h in H-C 7327 Computing semantically meaningful correspondences between shapes is an important yet challenging task in computer graphics and geometry processing, with a wide range of applications including deformation, motion, and texture transfer , as…
Dr Alexandra Diehl (ETH Zurich): Visualization Research for Characterization of High Impact Weather Events (HIWE)
25 March 2024, 14-15 h in H-C 7327 — The talk will be held at a later date. — The efficient analysis, decision making, and communication of high-impact weather events (HIWE) and their associated risks is a challenging and ongoing…
Dr Simone Schaub-Meyer (TU Darmstadt): Efficient and Understandable Neural Networks for Image and Video Analysis
21 March 2024, 14-15 h in H-C 7327 Recent developments in deep learning have led to significant advances in many areas of computer vision. However, the success of these methods often depends on having a well-defined task corresponding training data,…
Anna Kukleva (MPI Saarbrücken): Advancing Image and Video Recognition with Less Supervision
14 March 202, 14-15 h in H-C 7327 Deep learning has become an essential component of modern life, transforming various tasks across multiple domains such as entertainment, education, and autonomous driving. However, the increasing demand for data to train models…
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…
Prof Peter Kraemer with Wölfel Engineering and Alstom: Lectures on Structural Health Monitoring
7 November 2023 – 30 January 2024 in PB-A 118 30 January 2024, 16.00 h in PB-A 118: Dr Yan Niu, Alstom: Bogie Health Monitoring Using Acoustic Data 23 January 2024, 16.00 h in PB-A 118: Dr Manuel Eckstein, Wölfel Engineering:…
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…
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…
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…
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…
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…
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…
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…