activity
20202026
most citedTapType: Ten-finger text entry on everyday surfaces via Bayesian inference

46 citations · 51 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

EgoExoMoCap: Distributed Ego-Exo Human Motion Capture

Jiaxi Jiang, Bharat Lal Bhatnagar, Nan Yang +6

Human motion capture from head-mounted devices (HMDs) offers a scalable way to acquire real-world human motion and interaction data, which is crucial for applications in embodied A…

cs.CV2025

Group Inertial Poser: Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband Ranging

Ying Xue, Jiaxi Jiang, Rayan Armani +3

Tracking human full-body motion using sparse wearable inertial measurement units (IMUs) overcomes the limitations of occlusion and instrumentation of the environment inherent in vi…

cs.CV2025

EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity

Dominik Hollidt, Paul Streli, Jiaxi Jiang +4

Research on egocentric tasks in computer vision has mostly focused on head-mounted cameras, such as fisheye cameras or embedded cameras inside immersive headsets. We argue that the…

cs.CV2024

Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging

Rayan Armani, Changlin Qian, Jiaxi Jiang +1

While camera-based capture systems remain the gold standard for recording human motion, learning-based tracking systems based on sparse wearable sensors are gaining popularity. Mos…

cs.CV2023★ 2 cited

EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere

Jiaxi Jiang, Paul Streli, Manuel Meier +1

Full-body egocentric pose estimation from head and hand poses alone has become an active area of research to power articulate avatar representations on headset-based platforms. How…

cs.CV2023★ 3 cited

Restore Anything Pipeline: Segment Anything Meets Image Restoration

Jiaxi Jiang, Christian Holz

Recent image restoration methods have produced significant advancements using deep learning. However, existing methods tend to treat the whole image as a single entity, failing to…