Spatial Context Sensing Research Project @SCS_Research
https://t.co/eDItVJJxmh Joined September 2026-
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We’re presenting Event-LiDAR at #ECCV2026 this afternoon! Come chat with us about efficient 3D perception by keeping what previous LiDAR scans cannot predict. 🕒 Today, 3:00 PM CEST 📍 ExHall · Poster #12 · Poster Session 6 Looking forward to seeing you there!
🚀 Can we make 3D perception more efficient by processing what changes across LiDAR scans? We will present Event-LiDAR at #ECCV2026: converting conventional LiDAR scans into sparse 3D events. Project: event-lidar-project.github.io/event-lidar/ Video: youtu.be/gPgxb6S1bfI Details below. 🧵
🚀 Can we make 3D perception more efficient by processing what changes across LiDAR scans? We will present Event-LiDAR at #ECCV2026: converting conventional LiDAR scans into sparse 3D events. Project: event-lidar-project.github.io/event-lidar/ Video: youtu.be/gPgxb6S1bfI Details below. 🧵
村上君（M1）・辻君（D2）の「Event-LiDAR」を #ECCV2026 で発表予定です！ LiDAR点群を3Dイベント化し、認識を効率化します。 📅 9/12 15:00 CEST 📍 ExHall・ポスター #12 #LiDAR #EventCamera #PointCloud #Robotics #AutonomousDriving #PhysicalAI
🚀 Can we make 3D perception more efficient by processing what changes across LiDAR scans? We will present Event-LiDAR at #ECCV2026: converting conventional LiDAR scans into sparse 3D events. Project: event-lidar-project.github.io/event-lidar/ Video: youtu.be/gPgxb6S1bfI Details below. 🧵
Event-LiDAR: 3D Eventification for Efficient Point Cloud Processing. #ECCV2026 Great work, Masatoshi Murakami & Eisho Tsuji! 📅 Sept 12 · 15:00 CEST 📍 ExHall · Poster #12 #LiDAR #EventCamera #PointCloud #Robotics #AutonomousDriving #PhysicalAI
🚀 Can we make 3D perception more efficient by processing what changes across LiDAR scans? We will present Event-LiDAR at #ECCV2026: converting conventional LiDAR scans into sparse 3D events. Project: event-lidar-project.github.io/event-lidar/ Video: youtu.be/gPgxb6S1bfI Details below. 🧵
6/6 Great work by Masatoshi Murakami & Eisho Tsuji, who contributed equally as first authors. Congratulations to both on #ECCV2026! 📅 Sept 12 · 3:00 PM CEST 📍 ExHall · Poster #12 · Poster Session 6 Please stop by our poster.
5/6 📊 nuScenes / PTv3, with 1 full scan + 9 eventified scans: • ~72% fewer input points • 1.23× faster end-to-end inference • 63.1 mAP vs. 63.5 for the full-scan baseline We also demonstrate efficiency gains with CenterPoint.
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