Pinned Repositories
-edit-and-view-the-360-image
aiot_demo
AutoModelImproving
bert
TensorFlow code and pre-trained models for BERT
carla
Open-source simulator for autonomous driving research.
CheatSheet
Curve_GCN-Implementation
deep-learning-snu
Deep-learning-class ECE SNU
haithienld's Repositories
haithienld/Curve_GCN-Implementation
haithienld/AutoModelImproving
haithienld/deep-learning-snu
Deep-learning-class ECE SNU
haithienld/-edit-and-view-the-360-image
haithienld/aiot_demo
haithienld/bert
TensorFlow code and pre-trained models for BERT
haithienld/carla
Open-source simulator for autonomous driving research.
haithienld/CheatSheet
haithienld/Deep-Learning
haithienld/deep-learning-2019
SNU Deep Learning class Assignments Fall 2019
haithienld/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
haithienld/DrawIo
haithienld/edge-tpu-servers
Object and face recognition using Google's edge TPU
haithienld/Explain_Metric_Learning
Code for paper: "Visual Explanation for Deep Metric Learning"
haithienld/har
haithienld/human-voice-classification
haithienld/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
haithienld/LossFunctionExamples
haithienld/newspaper
News, full-text, and article metadata extraction in Python 3. Advanced docs:
haithienld/ObjectDetectionMobile
haithienld/PAND-Precise-Action-Recognition-on-Naturalistic-Driving
A solution for the 6th Aicity challenge workshop track 3. Temporal action localization is an important problem in computer vision. It is challenge to infer the start and end of action instances on small-scale datasets covering multi-view information accurately. In this paper, we propose an effective action temporal localization method to localize
haithienld/Pedestrian-Attribute-Recognition-Paper-List
Paper list on Pedestrian Attribute Recognition (PAR) and related tasks
haithienld/pose-demo-tommy
haithienld/Quantize-Feature-Extraction
haithienld/RealObject3DEstimation
haithienld/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
haithienld/Squeeze-and-Recursion-Temporal-Gates
Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
haithienld/tfmobile
haithienld/tommy-coral
haithienld/tutorials
PyTorch tutorials.