[visionlist] SAVE THE DATE: JIVP Webinar by Wei Hu "Interpretable Graph Spectral Processing and Analysis for Geometric Data and Beyond", June 25, 2026 at 2:00 PM CEST

[Giuseppe Valenzise]

(Apologies if you receive multiple copies of this message)


The next JIVP webinar will take place on Thursday, June 25, 2026 at 2:00 PM CEST, with Prof. Wei Hu (Peking University, Beijing, China).

RSVP to join here: https://cassyni.com/events/CRcM2ZnMQ4Gm5QsVv26TGy?cb=0.y24t


Title: Interpretable Graph Spectral Processing and Analysis for Geometric Data and Beyond

Abstract:
Geometric data acquired from real-world scenes, e.g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including autonomous driving, augmented and virtual reality, surveillance, etc. Due to irregular sampling patterns of most geometric data, traditional image/video processing methodologies are limited, while Graph Signal Processing (GSP)—a fast-developing field in the signal processing community—enables processing signals that reside on irregular domains. Further, GSP provides insightful spectral interpretations and domain knowledge for the recently developed Graph Neural Networks (GNNs), leading to interpretability and robustness of GNNs. In this talk, I will introduce our recent research projects to illustrate the power of graph spectral processing and analysis in terms of geometric structure learning, unsupervised graph representation learning and interpretable analysis via GSP-based prior knowledge. Beyond geometric data, I will also introduce our interpretable and lightweight transformer design for brain signals via balanced signed graph algorithm unrolling.

Bio:
Wei Hu is an Associate Professor with Wangxuan Institute of Computer Technology, Peking University. Wei Hu received the B.S. degree in Electrical Engineering from the University of Science and Technology of China in 2010, and the Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2015. She was a Researcher with Technicolor, Rennes, France, from 2015 to 2017. Her research interests are graph signal processing, graph-based machine learning and 3D vision. Dr. Hu has authored around 100 international journal and conference publications, with several paper awards including Best Paper Candidate in CVPR 2021 and Best Student Paper Runner Up Award in ICME 2020. She was awarded the 2021 IEEE Multimedia Rising Star Award-Honorable Mention, and the 2023 Outstanding Editorial Board Member Award in IEEE Signal Processing Society. She serves as an Associate Editor for IEEE Signal Processing Magazine and IEEE Transactions on Signal and Information Processing over Networks, and a TPC Co-Chair of IEEE ICME 2026.



—
__________________________________________
Dr. Giuseppe Valenzise
CNRS Senior Researcher (Directeur de recherche)
Université Paris-Saclay — CentraleSupelec — CNRS
Laboratoire des Signaux et Systèmes (L2S) — UMR 8506
3, rue Joliot Curie
91192 Gif-sur-Yvette Cedex, France
https://l2s.centralesupelec.fr/u/valenzise-giuseppe/

Editor in Chief Journal on Image and Video Processing (Springer)


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
“Immersive Video Technologies”
https://www.elsevier.com/books/immersive-video-technologies/valenzise/978-0-323-91755-1


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20260620/fac86a0b/attachment.htm>