Diffusion-enabled 3D Human Pose Tracking, Data Augmentation, Completion, and Acceleration
Shiwen Mao, Auburn University, United States
Shaping the Future: How IoT, AI, 6G, and Quantum Technologies Are Powering Intelligent Environments
Joel Rodrigues, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China; Federal University of Piauí (UFPI), Teresina - PI, Brazil; Fecomércio Ceará, Brazil
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Stefano Giordano, University of Pisa, Italy
Diffusion-enabled 3D Human Pose Tracking, Data Augmentation, Completion, and Acceleration
Shiwen Mao
Auburn University
United States
Brief Bio
Shiwen Mao is a Professor and Earle C. Williams Eminent Scholar and Director of the Wireless Engineering Research and Education Center at Auburn University. Dr. Mao's research interest includes wireless networks, multimedia communications, RF sensing and IoT, smart health, and smart grid. He is the editor-in-chief of IEEE Transactions on Cognitive Communications and Networking, a member-at-large on the Board of Governors of IEEE Communications Society, and Vice President of Technical Activities of IEEE Council on Radio Frequency Identification (CRFID). He is a co-recipient of several technical and service awards from the IEEE. He is a Fellow of the IEEE.
Abstract
In recent years, 3D human activity recognition and tracking has become an important topic in human-computer interaction. To preserve the privacy of users, there is considerable interest in techniques without using a video camera. In this talk, we first present RFID-Pose, a vision-assisted 3D human pose estimation system based on deep learning (DL). The performance of DL models depends on the availability of sufficient high-quality radio frequency (RF) data, which is more difficult and expensive to collect than other types of data. To overcome this obstacle, in the second part of this talk, we present generative AI approaches to generate labeled synthetic RF data for multiple wireless sensing platforms, such as WiFi, RFID, and mmWave radar, including a conditional Recurrent Generative Adversarial Network (R-GAN) approach and diffusion/latent diffusion based approaches. Next, we propose a novel framework that leverages latent diffusion transformers to synthesize high quality RF data, as well as a latent diffusion transformer with cross-attention conditioning to accurately infer missing joints in skeletal poses, completing full 25-joint configurations from partial (i.e., 12-joint) inputs utilizing received RF sensory data. Finally, we present our recent work TF-Diff, a novel training-free diffusion framework for cross-domain radio frequency (RF)-based human activity recognition (HAR) system, which enables effective adaptation with minimal target-domain data.
Shaping the Future: How IoT, AI, 6G, and Quantum Technologies Are Powering Intelligent Environments
Joel Rodrigues
College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China; Federal University of Piauí (UFPI), Teresina - PI, Brazil; Fecomércio Ceará
Brazil
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Brief Bio
Joel J. P. C. Rodrigues [Fellow, IEEE, IARIA & AAIA] is with the Federal University of Piauí, Brazil, and Leader of the Center for Intelligence at Fecomércio/CE, Brazil. Prof. Rodrigues is an Highly Cited Researcher (Clarivate), N. 1 of the top scientists in computer science in Brazil (Research.com), the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), the Chair of the IEEE Fellow Committee at the IEEE Region 9, Member of the IEEE COM Fellow Evaluation Committee, Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis – Covilhã Science and Technology Park. He was Member of IEEE ComSoc Board of Governors and Director for Conference Development, an IEEE Distinguished Lecturer, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications co-Chair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1350 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of AAIA, IARIA, and IEEE.
Abstract
This keynote explores the transformative potential of the Internet of Things (IoT) in shaping the future of intelligent environments. It begins by introducing the foundational principles of IoT and its diverse applications across key verticals such as smart cities, healthcare, industrial automation, and precision agriculture. Through real-world projects, the session highlights innovative IoT-driven solutions that address complex challenges, demonstrating how IoT is revolutionizing industries and improving environmental sustainability and quality of life on a global scale.
The discussion then transitions to the unprecedented opportunities created by the convergence of IoT with cutting-edge technologies. Artificial Intelligence (AI) is enabling IoT systems to evolve into autonomous, predictive, and adaptive ecosystems. The advent of 6G networks promises ultra-reliable, low-latency communication and massive connectivity, unlocking new possibilities for large-scale IoT deployments. Meanwhile, quantum technologies are poised to redefine the boundaries of security, computational power, and data processing in IoT frameworks.
This keynote concludes by addressing the critical challenges that lie ahead, including scalability, security, ethical considerations, and the need for sustainable innovation. By illuminating these frontiers and suggesting future research directions, this session inspires new ideas and collaborations to drive the next wave of IoT-powered intelligent environments.
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Stefano Giordano
University of Pisa
Italy
Brief Bio
Available Soon