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HKU IDS Guest Seminar

Multi-Scale Sparse Conv Learning for Point Cloud Super-Resolving and Compression

Host:

Co-host:

Speaker

Professor Zhu LI

Professor, Computer Science & Electrical Engineering (CSEE), University of Missouri, Kansas City;

Director of the NSF Center for Big Learning at UMKC

Date

Jun 10, 2025 (Tue)

Time

02:00pm – 03:00pm

Venue

P307 IDS Office, Graduate House, HKU

Mode

On-site. Seats for on-site participants are limited. 

Abstract

Due to the increased popularity of augmented and virtual reality experiences, as well as 3D sensing for auto-driving, the interest in capturing high resolution real-world point clouds has grown significantly in recent years. Point cloud is a new class of signal that is non-uniform and sparse and this present unique challenges to the signal processing, compression and learning problems. In this talk, we present our multi-scale sparse convolutional learning and Graph Frourier Transform (GFT) based framework for large scale point cloud processing, with applications to the geometry and attributes super-resolution, and dynamic point cloud compression with latent space compensation. The architecture is memory efficient and can learn deep networks to handle large scale point cloud in real world applications. Initial results demonstrated that this framework achieved new state of the art results in geometry super-resolution, attributes deblocking and super-resolving, and dynamic point cloud sequence compression.

Speaker

Professor Zhu LI

Professor, Computer Science & Electrical Engineering (CSEE), University of Missouri, Kansas City
Director of the NSF Center for Big Learning at UMKC

Zhu Li is a Professor with the Dept of Computer Science & Electrical Engineering, University of Missouri, Kansas City(UMKC), and the director of NSF I/UCRC Center for Big Learning (CBL) at UMKC. He received his PhD in Electrical &Computer Engineering from Northwestern University in 2004. He was the AFRL summer faculty at the UAV Research Center, US Air Force Academy (USAFA), 2016-18, 2020-24. He was Senior Staff Researcher with the Samsung Research America’s Multimedia Standards Research Lab in Richardson, TX, 2012-2015, Senior Staff Researcher with FutureWei (Huawei) Technology's Media Lab in Bridgewater, NJ, 2010~2012, Assistant Professor with the Dept of Computing, the Hong Kong Polytechnic University from2008to 2010, and a Principal Staff Research Engineer with the Multimedia Research Lab (MRL), Motorola Labs, from 2000 to 2008. His research interests include point cloud and light field compression, graph signal processing and deep learning in the next gen visual compression, remote sensing, image processing and understanding. He has 50+ issued or pending patents, 200+ publications in book chapters, journals, and conferences in these areas. He is an IEEE senior member, Associate Editor-in-Chief for IEEE Trans on Circuits & System for Video Tech, 2020~23, Associate Editor for IEEE Trans on Image Processing(2020~), IEEE Trans on Multimedia (2015-18), IEEE Trans on Circuits & System for Video Technology(2016-19). He is the Chair of the IEEE Visual Signal Processing & Communication (VSPC) Tech Committee. He received the Best Paper Runner-up Award at the Perception Beyond Visual Spectrum (PBVS) grand challenge at CVPR2023, Best Paper Award at IEEE Int'l Conf on Multimedia & Expo (ICME), Toronto, 2006, and IEEE Int'l Conf on Image Processing (ICIP), San Antonio, 2007.

For full biography of Prof LI, please refer to: https://scholar.google.com.hk/citations?user=OMxvD0wAAAAJ&hl=en

Moderator

Professor Ping LUO

Associate Professor (by courtesy) HKU Musketeers Foundation Institute of Data Science
Associate Professor Department of Computer Science The University of Hong Kong

Professor Ping Luo’s researches aim at 1) developing Differentiable/ Meta/ Reinforcement Learning algorithms that endow machines and devices to solve complex tasks with larger autonomy, 2) understanding foundations of deep learning algorithms, and 3) enabling applications in Computer Vision and Artificial Intelligence. Professor Ping Luo received his PhD degree in 2014 in Information Engineering, the Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaoou Tang (founder of SenseTime Group Ltd.) and Prof. Xiaogang Wang. He was a Research Director in SenseTime Research. He has published 70+ peer-reviewed articles (including 20 first author papers) in top-tier conferences and journals such as TPAMI, IJCV, ICML, ICLR, NeurIPS and CVPR. He has won a number of competitions and awards such as the first runner up in 2014 ImageNet ILSVRC Challenge, the first place in 2017 DAVIS Challenge on Video Object Segmentation, Gold medal in 2017 Youtube‐8M Video Classification Challenge, the first place in 2018 Drivable Area Segmentation Challenge for Autonomous Driving, 2011 HK PhD Fellow Award, and 2013 Microsoft Research Fellow Award (ten PhDs in Asia).

For full biography of Professor LUO, please refer to: https://datascience.hku.hk/people/ping-luo/

For information, please contact:
Email: datascience@hku.hk