[NeurIPS 2024] Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
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Updated
Feb 1, 2026 - Python
[NeurIPS 2024] Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
[ECCV 2024] WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
Arduino library for Seeed Studio XIAO ESP32-C6 with MR60BHA2-XIAO and MR60FDA2-XIAO 60GHz mmWave human sensing modules.
[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
[CVPR 2026] Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
Through-wall human presence detection via WiFi CSI — ESP32-WROOM + Python aggregator with motion + respiration sensing
Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task
WiFi-CSI human presence sensing on ESP32-S3 with RuView, plus a legacy BLE proximity experiment — setup scripts, notes, and findings.
A real time hybrid application for Human Activity Sensing using Wi-Fi Channel State Information (CSI). It ingests raw IQ subcarrier packets from an ESP32-S3, processes them via PCA/STFT, and classifies physical activities using PyTorch.
An evidence-aware, machine-readable atlas of wearable AI models, datasets, digital measures, causal methods, adaptive interventions and closed-loop systems.
Camera-free presence and pose sensing prototype using WiFi CSI, ESP32 firmware, signal processing, simulation and a live dashboard.
Simple machine learning tasks on ECG and human sensor data.
Date: July 20, 2026 Author: Kevin Michael Lent I am publicly establishing the timeline of my work in layered transition structures related or equal to areas in AI referred to as J-Space in large language models.
A mmWave sensing project, joint detection from mmWave data points using CNN and RNN
Device-free RF human-sensing research platform using Wi-Fi CSI and evidence-governed pipelines for presence, motion, localization and future pose inference.
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