Popular repositories Loading
-
AvatarPoser
AvatarPoser PublicOfficial Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"
-
SVG2Keynote-gui
SVG2Keynote-gui PublicSVG2Keynote is a macOS tool to convert Scalable Vector Graphics to Apple Keynote documents. SVG2Keynote preserves shape information (path styles, fills), such that shapes can be edited in Keynote.
-
UltraInertialPoser
UltraInertialPoser PublicOfficial Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
-
Finding_Order_in_Chaos
Finding_Order_in_Chaos PublicThe repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning.
Repositories
- EgoExoMoCap Public
- UltraDiffusionPoser Public
Official Repository for "Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking from Sparse Inertial Sensors and Ranging-based Between-sensor Distances" (CVPR 2026)
- EEG_Cybersickness_Estimation_VR-Beyond_Subjectivity Public
Official Code for IEEE TVCG 2025 article "Beyond Subjectivity: Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum Estimation"
- GroupInertialPoser Public
- egoPPG Public
Official code for the ICCV 2025 paper "egoPPG: Heart Rate Estimation from Eye Tracking Cameras in Egocentric Systems to Benefit Downstream Vision Tasks".
- Frequency-weighted-neural-Kalman-filters Public
FW-NKF: Frequency-Weighted Neural Kalman Filters -- Official implementation. Learnable IIR filtering of Kalman innovations with spectral supervision for robust state estimation under frequency-localized sensor noise.
- Loss_of_Pulse Public
- egoEMOTION Public
Official code for the NeurIPS 2025 paper "egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-World Tasks."
- Learning-with-FrameProjections Public
Official code for NeurIPS 2025 paper "Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections"
- contimask Public
Official code for the NeurIPS 2025 paper "Contimask: Explaining Irregular Time Series Models via Perturbations in Continuous Time"
Top languages
Loading…
Most used topics
Loading…