new research: Asynchronous Reality — where everything remains real except the flow of time. #CHI2022 best paper Users interact in the same space but in their individual timelines, opportunistically synchronized as needed. #MixedReality w/Andreas Fender ACM SIGCHI ETH CS Department ETH Zurich

new research: TapType—put on our wristbands and type anywhere on surrounding surfaces. No cameras involved, which makes TapType an ultra mobile #text #entry method. #CHI2022 ACM CHI Conference w/ Paul Streli Andreas Fender Jiaxi Jiang Hugo Romat ETH CS Department ETH Zurich

So happy to see this work published and presented at #CHI2022! Very nice experience to work with Paul Streli Andreas Fender, Manuel Meier, Hugo Romat and Prof. Christian Holz !

#ECCV2022 list of paper IDs of accepted papers is NOW available! eccv2022.ecva.net/submission/lis…

Do you want to do a Ph.D. in Computer Vision and Deep Learning? Are you interested in doing high-quality research in the heart of Europe? Are you READY for RADU™? Join Prof. Timofte's lab at JMU now! linkedin.com/posts/radutimo… #Rd4Radu #PhDposition #ComputerVision #DeepLearning

Is it possible to change the title for the camera-ready version, if not requested by reviewers?European Conference on Computer Vision #ECCV2026 I asked PCs but haven’t got a response yet

So happy to do this cool project and see it accepted by European Conference on Computer Vision #ECCV2026. Very nice collaboration with Paul Streli, Huajian, Andreas Fender Christian Holz from ETH CS Department ETH Zurich and @LarissaLaich Patrick Snape from Reality Labs at Meta! Thank you all!

I am honored to be awarded the Springorium Commemorative Coin during the graduation ceremony of RWTH Aachen. Thank you, RWTH Aachen❤️

Looking forward to my first in-person conference!

Avatar with legs in #VR! We are now showing the demo of our ECCV paper ‘AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing’ in Hall C demo area European Conference on Computer Vision #ECCV2026 Paper: arxiv.org/pdf/2207.13784… Code: github.com/eth-siplab/Ava… #metaverse #avatar #vr

We introduce Structured Light Speckle, an egocentric and purely optical method that simultaneously discovers surrounding surfaces and contact with them. Our system integrates structured light for depth estimation with laser speckle to resolve remote vibrometry. ETH CS Department ETH Zurich

new research: Ultra Inertial Poser: Scalable full-body tracking in the wild using sparse sensing #SIGGRAPH2024 No cameras—just 6 wearables (IMU+UWB) for our graph model to estimate poses We are first to process raw IMU signals and need no proprietary sensors for 3D orientation

Had an amazing time at #ECCV2024! Presented two papers, got to know brilliant new people, met with super nice previous advisors, and got chances to meet top experts. What an inspiring experience!

new: MANIKIN reveals & overcomes SMPL-based limitations for full-body IK tasks via – a biomechanically-inspired neural-analytical formulation – a neural IK method for predicting body poses from end-effectors European Conference on Computer Vision #ECCV2026 #ECCV2024 Jiaxi Jiang Paul Streli Xuejing Luo ETH CS Department

Introducing EgoPoser, a novel method for accurate full-body pose estimation—purely from sparse egocentric capture of head & hand poses (even when out of view) #eccv2024 ETH CS Department EgoPoser supports diverse body shapes and remains robust even when users move in large environments.

Releasing EgoSim, a simulator for body-worn cameras. #NeurIPS2024 D&B EgoSim takes real mocap data (e.g., AMASS) and synthesizes multi-modal egocentric videos Plus: MultiEgoView, a real dataset from 6 GoPro cameras and ground-truth 3D poses during several activities (13 people)

Making motion capture a lot more practical: Garment Inertial Poser estimates full-body motion from IMUs that are loosely attached to everyday clothing—no cameras, no tight straps. #IJCAI2025 Talk is today in the session "Diffusion models". Andela Ilic Jiaxi Jiang Paul Streli