Program
08:00 - 08:05 [5min] Introduction
08:10 - 08:40 [30 minutes + 5 minutes Q/A] Keynote 1
Presenter: Trevor Bhil
Title:Toward Low-SWaP Cognitive Agents: Neuromorphic Intelligence and FPGA-Based Deployments of Event Neural Networks
Abstract: Traditional artificial intelligence (AI) solutions are often high-SWaP (Size, Weight, and Power), data hungry, and lack the efficiency, resilience, and autonomy exhibited by biological intelligence. As a consequence, autonomous and cognitive agents suffer from various technical bottlenecks precluding their widespread use. Neuromorphic computing offers the potential to develop learning machines that perceive, adapt, and learn continually. This paper surveys the state-of-the-art in neuromorphic intelligence, including advances in spiking neural networks (SNNs), emerging brain-inspired hardware platforms, supporting software stacks, and representative application domains. Key to these advances are deployment pipelines for development, evaluation, and testing of solutions. Thus, in parallel, we further present a preliminary FPGA-based deployment pipeline for both artificial neural networks (ANNs) and SNNs. This approach not only provides a practical low-SWaP alternative for edge AI but also enables head-to-head benchmarking of neuromorphic solutions against conventional neural models on reconfigurable hardware. Together, these perspectives define a roadmap toward robust, low-power cognitive systems capable of real-world autonomy across embedded and constrained environments.
08:40 - 08:50 [10 min] Spotlight session (2 papers)
DEIO: Deep Event Inertial Odometry
Weipeng Guan (The University of Hong Kong)
Fuling Lin (The University of Hong Kong)
Peiyu Chen (The University of Hong Kong)
Neural Ganglion Sensors: Learning Task-specific Event Cameras Inspired by the Neural Circuit of the Human Retina
Haley So (Stanford University)
Gordon Wetzstein (Stanford University)
08:50 - 09:25 [30 minutes + 5 minutes Q/A] Keynote 2
Presenter: Chiara Bartolozzi
Title: TBD
Abstract: TBD
09:25 - 09:35 [10 min] Spotlight session (2 papers)
Comparing Representations for Event Camera-based Visual Object Tracking
Oussama Abdul Hay (Khalifa University of Science and Technology, Abu Dhabi)
Sara Alansari (Khalifa University, Abu Dhabi)
Mohamad Alansari (Khalifa University, Abu Dhabi)
Yahya Zweiri (Khalifa University of Science and Technology, Abu Dhabi)
Lattice-allocated Real-time Line Segment Feature Detection and Tracking Using Only an Event-based Camera
Mikihiro Ikura (Istituto Italiano di Tecnologia)
Arren Glover (Istituto Italiano di Tecnologia)
Masayoshi Mizuno (Sony Interactive Entertainment Inc.)
Chiara Bartolozzi (Istituto Italiano di Tecnologia)
09:35 - 10:10 [30 minutes + 5 minutes Q/A] Keynote 3
Presenter: Walterio Mayol Cuevas
Title: On-Sensor Computer Vision With Pixel Processor Arrays, Current and Future Opportunities
Abstract: On-sensor Computer Vision offers opportunities that have seldom been available to artificial systems before. Low-latency visual computation, reduced power and space budget and low bandwidth requirements are at the centre of the challenges preventing efficient visual systems to scale and be deployed in the wild. If images do not need to be ferried around or reconstructed before understanding, multiple applications from robotics to IoT to all-day wearables will be unlocked. Parallel processor arrays (PPAs) are a new class of vision sensor devices that exploit advances in semiconductor technology, embedding a processor within each pixel of the image sensor array. Sensed pixel data are processed on the focal plane, and only a small amount of relevant and already processed information is transmitted out of the vision sensor. This tight integration of sensing, processing, and memory within a massively parallel computing architecture leads to an interesting trade-off between high performance, low latency, low power, low cost, and versatility in a machine vision system. In this talk, we will cover recent research that showcases a range of visual competences and applications achievable with on-sensor computation as well as introduce the challenges that a new research project between the Universities of Manchester, Bristol and Imperial College is aiming to tackle.
10:10 - 10:35 [20 minutes + 5 minutes Q/A] Rising Star Researcher Keynotes
Presenter: Friedhelm Hamann
Title: TBD
Abstract: TBD
10:35 - 11:55 [80min] Poster session + Coffee break
11:55 - 12:00 [5 minutes] Conclusions + Best Paper Award