Pinned Repositories
Audio-Signal-Processing
Audio Signal Preocessing: pcm2wav, wav2pcm, feature extraction, augment, delete silence etc
DPSNet-Multi-Task-Learning-Using-Geometry-Reasoning-for-Scene-Depth-and-Semantics
kitti_proposal_eval
Repository to evaluate the recall of 3D object proposal algorithms on the Kitti Dataset
liuyang_xuchen
刘洋和徐晨的代码文件以及Readme
MC-CPC
Multi-Channel Lightweight Contrast Prediction Coding for Feature Extraction of Radar Emitter Signals Detection on Wideband signal
Object_detection_estimated_sclales
PYRF-PCR
a novel three-stage outdoor point cloud registration algorithm, including preprocessing, yaw angle estimation, coarse registration, and fine registration (in short, PYRF-PCR)
SEI-ADE
Adaptive Decomposition and Extraction Network of Individual Fingerprint Features for Specific Emitter Identification
SSNet
Augmented Pre-training Networks for Multi-type Signal Detection and Classification in Time-Frequency Spectrogram
SSNet2
SSNet2 Detection on Wideband signal
jn-z's Repositories
jn-z/MC-CPC
Multi-Channel Lightweight Contrast Prediction Coding for Feature Extraction of Radar Emitter Signals Detection on Wideband signal
jn-z/SEI-ADE
Adaptive Decomposition and Extraction Network of Individual Fingerprint Features for Specific Emitter Identification
jn-z/SSNet2
SSNet2 Detection on Wideband signal
jn-z/SSNet
Augmented Pre-training Networks for Multi-type Signal Detection and Classification in Time-Frequency Spectrogram
jn-z/DPSNet-Multi-Task-Learning-Using-Geometry-Reasoning-for-Scene-Depth-and-Semantics
jn-z/PYRF-PCR
a novel three-stage outdoor point cloud registration algorithm, including preprocessing, yaw angle estimation, coarse registration, and fine registration (in short, PYRF-PCR)
jn-z/Audio-Signal-Processing
Audio Signal Preocessing: pcm2wav, wav2pcm, feature extraction, augment, delete silence etc
jn-z/kitti_proposal_eval
Repository to evaluate the recall of 3D object proposal algorithms on the Kitti Dataset
jn-z/liuyang_xuchen
刘洋和徐晨的代码文件以及Readme
jn-z/Object_detection_estimated_sclales
jn-z/pytorch-deepvo
An Implementation of DeepVO with CNN / CNN-LSTM
jn-z/temporal-depth-segmentation
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019.