lixinghe1999
Lixing He, CUHK-IE PhD Student, working on efficient multi-modal learning on mobile/ wearable device
The Chinese University of Hong KongHONG KONG
Pinned Repositories
AssistAR
audioproject
data_collection_andriod
drowning_detection
ecosystem
EfficientAT
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
egoaudio
HAR
lixinghe1999.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
localization
lixinghe1999's Repositories
lixinghe1999/audioproject
lixinghe1999/drowning_detection
lixinghe1999/AssistAR
lixinghe1999/data_collection_andriod
lixinghe1999/ecosystem
lixinghe1999/EfficientAT
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
lixinghe1999/egoaudio
lixinghe1999/HAR
lixinghe1999/lixinghe1999.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
lixinghe1999/localization
lixinghe1999/mmWave
lixinghe1999/multi_modal
lixinghe1999/Raspberry-Pi
lixinghe1999/self-calibration-of-sensor-location
detect the sensor location based on its signal and complementary vision data
lixinghe1999/stethoscope
lixinghe1999/Research_record
lixinghe1999/sc2-benchmark
[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
lixinghe1999/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors