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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description"
content="ECCV 2026 Workshop: Event-Based Multimodal Vision: Imaging, Perception, and Understanding." />
<title>EBMV @ ECCV 2026</title>
<link rel="stylesheet" href="css/style.css" />
</head>
<body>
<header class="site-header">
<div class="container nav">
<a class="brand" href="#home">EBMV @ ECCV 2026</a>
<nav aria-label="Main navigation">
<a href="#home">Home</a>
<a href="#dates">Important Dates</a>
<a href="#about">About</a>
<a href="#challenges">Challenges</a>
<a href="#schedule">Schedule</a>
<a href="#speakers">Speakers</a>
<a href="#organizers">Organizers</a>
<a href="#sponsors">Sponsors</a>
<a href="#related">Related Workshops</a>
</nav>
</div>
</header>
<main>
<section id="home" class="hero">
<div class="container hero-grid">
<div>
<p class="eyebrow">ECCV 2026 Workshop</p>
<h1>Event-Based Multimodal Vision: Imaging, Perception, and Understanding</h1>
<p class="subtitle">
Imaging, Perception, and Understanding with Event-Based Multimodal Vision
</p>
<p class="meta">
<span>ECCV 2026</span>
<span>Malmo, Sweden</span>
<span>Sept 8-13, 2026</span>
</p>
<div class="actions">
<a class="btn btn-primary" href="#challenges">Challenges</a>
<a class="btn btn-secondary" href="#speakers">Speakers</a>
</div>
<a class="submission-banner" href="https://openreview.net/group?id=thecvf.com/ECCV/2026/Workshop/EBMV"
target="_blank" rel="noreferrer" aria-label="OpenReview call for paper submission link">
<span class="submission-banner-brand" aria-hidden="true">
<span class="submission-banner-brand-word">OpenReview</span><span class="submission-banner-brand-net">.net</span>
</span>
<span class="submission-banner-copy">
<span class="submission-banner-label">Call for Paper Submission</span>
<span class="submission-banner-title">EBMV @ ECCV 2026</span>
</span>
<span class="submission-banner-chip">Submit</span>
</a>
</div>
<div class="hero-image-card">
<img src="assets/images/eccv-2026-skyline.svg" alt="ECCV 2026 workshop skyline visual" />
</div>
</div>
</section>
<section id="dates" class="section muted-bg">
<div class="container">
<h2>Important Dates</h2>
<div class="date-grid">
<article class="card date-card">
<p class="date-label">Challenge & Website Launch</p>
<p class="date-value">May 10, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Training / Validation Set Release</p>
<p class="date-value">May 12, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Test Set & Evaluation Server Online</p>
<p class="date-value">June 20, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Submission Start</p>
<p class="date-value">July 01, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Challenge Results Announcement</p>
<p class="date-value">July 5, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Abstract Registration</p>
<p class="date-value">July 15, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Submission Deadline</p>
<p class="date-value">July 20, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Notification to Authors</p>
<p class="date-value">August 5, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">Camera-ready Deadline</p>
<p class="date-value">August 12, 2026</p>
</article>
<article class="card date-card">
<p class="date-label">ECCV 2026 Workshop</p>
<p class="date-value">Sept 8–13, 2026</p>
</article>
</div>
</div>
</section>
<section id="about" class="section">
<div class="container">
<h2>About</h2>
<p class="about-intro">
Our workshop focuses on research at the intersection of event-based sensing and
multimodal vision, spanning the full pipeline from sensing systems and low-level imaging
to perception and high-level understanding.
</p>
<div class="topic-grid">
<article class="card topic-card">
<h3>Sensing Systems</h3>
<ul class="topic-list">
<li>Event-based and neuromorphic vision with multimodal visual sensing.</li>
<li>Hybrid systems with event cameras, RGB, LiDAR, IMU, and language.</li>
<li>Datasets, simulators, benchmarks, and annotation pipelines.</li>
<li>Spatial-temporal calibration, synchronization, and alignment.</li>
</ul>
</article>
<article class="card topic-card">
<h3>Low-Level Imaging</h3>
<ul class="topic-list">
<li>Event-guided illumination modeling and brightness adjustment.</li>
<li>Enhancement under low-light, HDR, blur, noise, and reconstruction scenarios.</li>
<li>Image or intensity reconstruction and physics-aware video synthesis.</li>
<li>Illumination-aware representations and sensor-aware modeling.</li>
</ul>
</article>
<article class="card topic-card">
<h3>Mid-Level Perception</h3>
<ul class="topic-list">
<li>Optical flow, depth, visual odometry, SLAM, and 3D reconstruction.</li>
<li>Segmentation, detection, feature tracking, and visual tracking.</li>
<li>Multimodal fusion for challenging dynamic environments.</li>
<li>Model-based, embedded, and learning-based event-driven perception.</li>
</ul>
</article>
<article class="card topic-card">
<h3>High-Level Understanding</h3>
<ul class="topic-list">
<li>Visual grounding, action understanding, and spatiotemporal reasoning.</li>
<li>Event-based MLLMs and event-stream vision-language learning.</li>
<li>Autonomous driving, robotics, and embodied intelligence.</li>
<li>Cross-modal reasoning with asynchronous sparse event representations.</li>
</ul>
</article>
<article class="card topic-card">
<h3>Computing and Hardware</h3>
<ul class="topic-list">
<li>Novel event cameras, neuromorphic processors, and event-based systems.</li>
<li>Efficient architectures, including state-space and lightweight designs.</li>
<li>Sensor-aware learning grounded in event generation mechanisms.</li>
</ul>
</article>
<article class="card topic-card">
<h3>Applications</h3>
<ul class="topic-list">
<li>Computational imaging and industrial inspection.</li>
<li>Autonomous driving, robotics, AR/VR, and edge intelligence.</li>
<li>Deployment-oriented solutions for dynamic real-world scenarios.</li>
</ul>
</article>
</div>
<ul class="tags" aria-label="Workshop highlights">
<li>Imaging</li>
<li>Perception</li>
<li>Understanding</li>
<li>Event + RGB + Language</li>
</ul>
</div>
</section>
<section id="challenges" class="section muted-bg">
<div class="container">
<h2>Challenges</h2>
<div class="challenge-grid">
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/SEE-logo.jpg" alt="SEE Challenge 2026 visual" />
</div>
<div class="challenge-content">
<h3>Low-Level Imaging Challenge: Event-Guided Brightness Adjustment with SEE 600K</h3>
<p>
A benchmark challenge for event-guided brightness adjustment under broad lighting conditions,
including low light, over-exposure, mixed illumination, and high-contrast scenes. Participants
use RGB frames and event streams to restore well-exposed and structurally faithful images.
</p>
<p class="dataset">Dataset: SEE-600K</p>
<p class="links">
<a href="see-challenge.html">Challenge Details</a>
<a href="https://www.codabench.org/competitions/16195/#/pages-tab">Competition Page</a>
<a href="https://huggingface.co/datasets/yunfanlu/SEE-600K">Dataset</a>
<a href="https://github.com/yunfanLu/SEE">Baseline Code</a>
<a href="https://www.codabench.org/competitions/16195/#/participate-tab">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16195/#/results-tab">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/EventA.jpg" alt="EventAid Challenge 2026 visual" />
</div>
<div class="challenge-content">
<h3>Low-Level Imaging Challenge: Event-Guided High-frame-rate Video Reconstruction on EventAid and ERF-X170FPS</h3>
<p>
A benchmark challenge for event-guided high-frame-rate video reconstruction. Participants use
low-frame-rate RGB videos and event streams to recover high-frame-rate videos with accurate
restoration of fast motion.
</p>
<p class="dataset">Dataset: EventAid, ERF-X170FPS</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16375/">Competition Page</a>
<a href="https://www.codabench.org/competitions/16375/#/participate-tab">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16375/#/results-tab">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/SDE.jpg" alt="SDE Depth Challenge 2026 visual" />
</div>
<div class="challenge-content">
<h3>Low-Level Imaging Challenge: Event-Guided Low-Light Video Depth Estimation on SDE</h3>
<p>
A benchmark challenge for event-guided depth estimation in low-light video scenes. Participants
use RGB frames and event streams to recover accurate depth maps under challenging illumination.
</p>
<p class="dataset">Dataset: SDE</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16281/">Competition Page</a>
<a href="https://huggingface.co/datasets/Ethanliang99/ECCV_Event_Video_Depth_Estimation/tree/main">Dataset
Link</a>
<a href="https://www.codabench.org/competitions/16281/#/participate-tab">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16281/#/results-tab">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/Depth-logo.jpg" alt="CoSEC Depth Challenge 2026 visual" />
</div>
<div class="challenge-content">
<h3>Mid-Level Perception Challenge: Event-Guided Monocular Depth Estimation with CoSEC</h3>
<p>
A benchmark challenge for event-guided monocular depth estimation in real-world scenes. Participants use
RGB frames and event streams to predict accurate depth maps.
</p>
<p class="dataset">Dataset: CoSEC</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16218/#/pages-tab">Competition Page</a>
<a href="https://cosec.org.cn/">Dataset Link</a>
<a href="https://www.codabench.org/competitions/16218/#/participate-tab">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16218/#/results-tab">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/Segmentation-logo.jpg" alt="CoSEC Segmentation Challenge 2026 visual" />
</div>
<div class="challenge-content">
<h3>Mid-Level Perception Challenge: Event-Guided Semantic Segmentation with CoSEC</h3>
<p>
A benchmark challenge for event-guided semantic segmentation in real-world scenes. Participants use RGB
frames and event streams to predict pixel-level semantic labels.
</p>
<p class="dataset">Dataset: CoSEC</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16261/#/pages-tab">Competition Page</a>
<a href="https://cosec.org.cn/">Dataset Link</a>
<a href="https://www.codabench.org/competitions/16261/#/participate-tab">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16261/#/results-tab">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/EventB.jpg" alt="High-level understanding challenge placeholder visual" />
</div>
<div class="challenge-content">
<h3>High-Level Understanding Challenge: Event-Guided Spatial Reasoning with EventBench</h3>
<p>
This challenge benchmarks MLLMs' spatial reasoning on event-based vision, focusing on object counting,
absolute distance estimation, and spatial relationship reasoning.
</p>
<p class="dataset">Dataset: EventBench</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16303/">Competition Page</a>
<a href="https://www.codabench.org/competitions/16303/">Dataset Link</a>
<a href="https://www.codabench.org/competitions/16303/">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16303/">Leaderboard</a>
</p>
</div>
</article>
<article class="card challenge-card">
<div class="challenge-media">
<img src="assets/images/EventB.jpg" alt="High-level understanding challenge placeholder visual" />
</div>
<div class="challenge-content">
<h3>High-Level Understanding Challenge: Event Stream Understanding with EventBench</h3>
<p>
This challenge aims to systematically evaluate and push the boundaries of MLLMs in understanding and
reasoning over event-based vision data. Our goal is to foster the development of robust,
parameter-efficient multi-modal models capable of deep semantic comprehension, spatial-temporal
reasoning, and fine-grained recognition within complex event streams.
</p>
<p class="dataset">Dataset: EventBench</p>
<p class="links">
<a href="https://www.codabench.org/competitions/16100/">Competition Page</a>
<a href="https://www.codabench.org/competitions/16100/">Dataset Link</a>
<a href="https://www.codabench.org/competitions/16100/">Evaluation Server</a>
<a href="https://www.codabench.org/competitions/16100/">Leaderboard</a>
</p>
</div>
</article>
</div>
</div>
</section>
<section id="schedule" class="section">
<div class="container">
<h2>Schedule</h2>
<div class="schedule-wrap card">
<table class="schedule-table">
<thead>
<tr>
<th>Time</th>
<th>Session</th>
<th>Speaker / Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td>08:30 - 09:00</td>
<td>Registration</td>
<td>TODO</td>
</tr>
<tr>
<td>09:00 - 09:15</td>
<td>Opening and Welcome</td>
<td>TODO</td>
</tr>
<tr>
<td>09:15 - 10:45</td>
<td>Invited Talks Session I</td>
<td>TODO</td>
</tr>
<tr>
<td>11:00 - 12:30</td>
<td>Challenge Session</td>
<td>TODO</td>
</tr>
<tr>
<td>14:00 - 15:30</td>
<td>Invited Talks Session II</td>
<td>TODO</td>
</tr>
<tr>
<td>15:45 - 16:45</td>
<td>Poster and Discussion</td>
<td>TODO</td>
</tr>
<tr>
<td>16:45 - 17:15</td>
<td>Awards and Closing</td>
<td>TODO</td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<section id="speakers" class="section">
<div class="container">
<h2>Invited Speakers</h2>
<div class="speaker-list">
<article class="card speaker-card">
<img src="Vibe/KostasDaniilidis.jpeg" alt="Kostas Daniilidis portrait" />
<div>
<h3>Kostas Daniilidis</h3>
<p class="affiliation">University of Pennsylvania, USA</p>
<p class="talk-title">
Multi-view geometry, 3D scene reconstruction, and geometric vision theory.
</p>
<p class="speaker-actions">
<a href="https://www.cis.upenn.edu/~kostas/" target="_blank" rel="noreferrer">Homepage</a>
</p>
</div>
</article>
<article class="card speaker-card">
<img src="Vibe/GuillermoGallego.jpg" alt="Guillermo Gallego portrait" />
<div>
<h3>Guillermo Gallego</h3>
<p class="affiliation">Technical University of Berlin, Germany</p>
<p class="talk-title">
Event-based vision, continuous-time motion estimation, and spatiotemporal modeling.
</p>
<p class="speaker-actions">
<a href="https://sites.google.com/view/guillermogallego" target="_blank" rel="noreferrer">Homepage</a>
</p>
</div>
</article>
<article class="card speaker-card">
<img src="Vibe/PriyadarshiniPanda.jpg" alt="Priyadarshini Panda portrait" />
<div>
<h3>Priyadarshini Panda</h3>
<p class="affiliation">University of Southern California, USA</p>
<p class="talk-title">
Neuromorphic computing, spiking neural networks, and event-driven learning systems.
</p>
<p class="speaker-actions">
<a href="https://viterbi.usc.edu/directory/faculty/Panda/Priyadarshini" target="_blank"
rel="noreferrer">Homepage</a>
</p>
</div>
</article>
<article class="card speaker-card">
<img src="Vibe/ShintaroShiba.jpeg" alt="Shintaro Shiba portrait" />
<div>
<h3>Shintaro Shiba</h3>
<p class="affiliation">The University of Tokyo, Japan</p>
<p class="talk-title">
Event-based perception for autonomous driving and large-scale real-world deployment.
</p>
<p class="speaker-actions">
<a href="https://scholar.google.com/citations?user=R2Jpz5kAAAAJ" target="_blank"
rel="noreferrer">Homepage</a>
</p>
</div>
</article>
<!-- Vibe/FedericoBecattini.jpeg -->
<!-- https://docenti.unisi.it/it/becattini-0 -->
<!-- Associate Professor, University of Siena -->
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<img src="Vibe/FedericoBecattini.jpeg" alt="Federico Becattini portrait" />
<div>
<h3>Federico Becattini</h3>
<p class="affiliation">University of Siena, Italy</p>
<p class="talk-title">
Computer vision, Autonomous driving, Trajectory prediction, Fashion recommendation, Event camera
</p>
<p class="speaker-actions">
<a href="https://docenti.unisi.it/it/becattini-0" target="_blank" rel="noreferrer">Homepage</a>
</p>
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</article>
<article class="card speaker-card">
<img src="Vibe/LiyuanPan.jpg" alt="Liyuan Pan portrait" />
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<h3>Liyuan Pan</h3>
<p class="affiliation">Beijing Institute of Technology, China</p>
<p class="talk-title">
Event cameras, spiking vision models, and high-speed visual perception.
</p>
<p class="speaker-actions">
<a href="https://bitsslab.github.io/" target="_blank" rel="noreferrer">Homepage</a>
</p>
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</article>
<article class="card speaker-card">
<img src="Vibe/DanielGehrig.jpg" alt="Daniel Gehrig portrait" />
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<h3>Daniel Gehrig</h3>
<p class="affiliation">University of Pennsylvania, USA</p>
<p class="talk-title">
Event-based optical flow, learning-based motion estimation, and high-speed vision.
</p>
<p class="speaker-actions">
<a href="https://danielgehrig18.github.io/" target="_blank" rel="noreferrer">Homepage</a>
</p>
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<!-- Bo Mu Director of Algorithm Development at OmniVision Technologies, Inc. San Jose, California, United States-->
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<h3>Bo Mu</h3>
<p class="affiliation">OmniVision Technologies, Inc., USA</p>
<p class="talk-title">
Event-based vision applications, neuromorphic sensors, and real-world deployment.
</p>
<p class="speaker-actions">
<a href="https://www.ovt.com/" target="_blank" rel="noreferrer">Homepage</a>
</p>
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</article>
<article class="card speaker-card">
<img src="Vibe/MinLiu.jpg" alt="Min Liu portrait placeholder" />
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<h3>Min Liu</h3>
<p class="affiliation">DVSense Technology Co., Ltd., China</p>
<p class="talk-title">
Event camera sensors, imaging hardware design, and industrial vision systems.
</p>
<p class="speaker-actions">
<a href="https://www.dvsense.com/en/products_en/" target="_blank" rel="noreferrer">Homepage</a>
</p>
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</article>
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<img src="Vibe/JianDeng.jpg" alt="Jian Deng portrait placeholder" />
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<h3>Jian Deng</h3>
<p class="affiliation">AlpsenTek, Switzerland</p>
<p class="talk-title">
Neuromorphic vision sensors, edge imaging devices, and low-power perception hardware.
</p>
<p class="speaker-actions">
<a href="https://en.alpsentek.com/" target="_blank" rel="noreferrer">Homepage</a>
</p>
</div>
</article>
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</section>
<section id="organizers" class="section organizer-bg">
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<h2>Organizers</h2>
<!-- <p class="section-intro">Organizer list and personal homepages.</p> -->
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<a href="https://hyzhouboy.github.io/" target="_blank" rel="noreferrer">
<img src="Vibe/HanyuZhou.jpg" alt="Hanyu Zhou portrait" />
<p class="organizer-name">Hanyu Zhou</p>
<p class="organizer-affiliation">National University of Singapore</p>
</a>
</article>
<article class="organizer">
<a href="https://yunfanlu.github.io/" target="_blank" rel="noreferrer">
<img src="Vibe/YunfanLu.jpeg" alt="Yunfan Lu portrait" />
<p class="organizer-name">Yunfan Lu</p>
<p class="organizer-affiliation">Hong Kong University of Science and Technology (Guangzhou)</p>
</a>
</article>
<article class="organizer">
<a href="https://xdusyl.github.io/" target="_blank" rel="noreferrer">
<img src="Vibe/ShaoyuLiu.jpg" alt="Shaoyu Liu portrait" />
<p class="organizer-name">Shaoyu Liu</p>
<p class="organizer-affiliation">Xidian University</p>
</a>
</article>
<article class="organizer">
<a href="https://liu-haoyue.github.io/" target="_blank" rel="noreferrer">
<img src="Vibe/HaoyueLiu.jpg" alt="Haoyue Liu portrait placeholder" />
<p class="organizer-name">Haoyue Liu</p>
<p class="organizer-affiliation"> Huazhong University of Science and Technology</p>
</a>
</article>
<article class="organizer">
<a href="https://scholar.google.com/citations?user=VqF8ZNYAAAAJ" target="_blank" rel="noreferrer">
<img src="Vibe/PeiqiDuan.jpeg" alt="Peiqi Duan portrait" />
<p class="organizer-name">Peiqi Duan</p>
<p class="organizer-affiliation">Peking University</p>
</a>
</article>
<article class="organizer">
<a href="https://pengshihan.com/" target="_blank" rel="noreferrer">
<img src="Vibe/ShihanPeng.jpg" alt="Shihan Peng portrait placeholder" />
<p class="organizer-name">Shihan Peng</p>
<p class="organizer-affiliation">Huazhong University of Science and Technology</p>
</a>
</article>
<article class="organizer">
<a href="https://scholar.google.com/citations?user=JD-5DKcAAAAJ" target="_blank" rel="noreferrer">
<img src="Vibe/YinqiangZheng.jpeg" alt="Yinqiang Zheng portrait" />
<p class="organizer-name">Yinqiang Zheng</p>
<p class="organizer-affiliation">University of Tokyo</p>
</a>
</article>
<article class="organizer">
<a href="http://camera.pku.edu.cn/" target="_blank" rel="noreferrer">
<img src="Vibe/BoxinShi.jpeg" alt="Boxin Shi portrait" />
<p class="organizer-name">Boxin Shi</p>
<p class="organizer-affiliation">Peking University</p>
</a>
</article>
<article class="organizer">
<a href="https://vi.kaist.ac.kr/" target="_blank" rel="noreferrer">
<img src="Vibe/KukJinYoon.jpeg" alt="Kuk-Jin Yoon portrait" />
<p class="organizer-name">Kuk-Jin Yoon</p>
<p class="organizer-affiliation">Korea Advanced Institute of Science and Technology</p>
</a>
</article>
<article class="organizer">
<a href="https://www.nature.com/npjai/editors" target="_blank" rel="noreferrer">
<img src="Vibe/HuiXiong.jpeg" alt="Hui Xiong portrait" />
<p class="organizer-name">Hui Xiong</p>
<p class="organizer-affiliation">Hong Kong University of Science and Technology (Guangzhou)</p>
</a>
</article>
<article class="organizer">
<a href="https://www.comp.nus.edu.sg/~leegh/" target="_blank" rel="noreferrer">
<img src="Vibe/GimHeeLee.jpeg" alt="Gim Hee Lee portrait" />
<p class="organizer-name">Gim Hee Lee</p>
<p class="organizer-affiliation">National University of Singapore</p>
</a>
</article>
<article class="organizer">
<a href="http://rpg.ifi.uzh.ch/people_scaramuzza.html" target="_blank" rel="noreferrer">
<img src="Vibe/DavideScaramuzza.jpeg" alt="Davide Scaramuzza portrait" />
<p class="organizer-name">Davide Scaramuzza</p>
<p class="organizer-affiliation">University of Zurich</p>
</a>
</article>
</div>
</div>
</section>
<!-- <section id="sponsors" class="section">
<div class="container">
<h2>Sponsors</h2>
<p class="section-intro">Industry sponsors supporting the workshop.</p>
<div class="sponsor-grid">
<article class="card sponsor-card sponsor-dark">
<a href="https://www.dvsense.com/en/home_en/" target="_blank" rel="noreferrer">
<img src="Vibe/Dvsense-logo_white-logo-ppt-145x52-1.jpg" alt="DVSense logo" />
<p>DVSense</p>
</a>
</article>
<article class="card sponsor-card">
<a href="https://en.alpsentek.com/" target="_blank" rel="noreferrer">
<img src="Vibe/AlpsenTek.svg" alt="AlpsenTek logo" />
<p>AlpsenTek</p>
</a>
</article>
</div>
</div>
</section> -->
<section id="related" class="section muted-bg">
<div class="container">
<h2>Related Workshops</h2>
<p class="section-intro">
We acknowledge prior and ongoing community efforts in event-based and neuromorphic vision.
</p>
<ul class="related-list">
<a href="https://tub-rip.github.io/eventvision2023/" target="_blank" rel="noreferrer">
CVPR 2023 Fourth International Workshop on Event-based Vision
</a>
<a href="https://tub-rip.github.io/eventvision2021/" target="_blank" rel="noreferrer">
CVPR 2021 Third International Workshop on Event-based Vision
</a>
<a href="http://rpg.ifi.uzh.ch/CVPR19_event_vision_workshop.html" target="_blank" rel="noreferrer">
CVPR 2019 Second International Workshop on Event-based Vision
</a>
<a href="http://rpg.ifi.uzh.ch/ICRA17_event_vision_workshop.html" target="_blank" rel="noreferrer">
ICRA 2017 First International Workshop on Event-based Vision
</a>
<a href="https://sites.google.com/view/nevi-2025/home-page" target="_blank" rel="noreferrer">
ICCV 2025: 2nd Workshop on Neuromorphic Vision (NeVi 2025)
</a>
<a href="https://sites.google.com/view/neurobots2025" target="_blank" rel="noreferrer">
IROS 2025: NeuRobots 2025 - Workshop on Neuromorphic Perception for Real World Robotics
</a>
</ul>
</div>
</section>
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<p>Event-Based Multimodal Vision Workshop @ ECCV 2026</p>
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<a href="mailto:hy.zhou@nus.edu.sg">hy.zhou@nus.edu.sg</a>
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<a href="mailto:ylu066@connect.hkust-gz.edu.cn">ylu066@connect.hkust-gz.edu.cn</a>
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