tianshuichen
Ph.D. in computer science in Sun Yat-Sen University. Research interests include computer vision and machine learning.
Pinned Repositories
2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
ASCCL
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-Multi-label-Image-Recognition
Everything about Multi-label Image Recognition.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DISC
HSE
tianshuichen.github.io
Wavelet-like-Auto-Encoder
tianshuichen's Repositories
tianshuichen/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
tianshuichen/Awesome-Multi-label-Image-Recognition
Everything about Multi-label Image Recognition.
tianshuichen/2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
tianshuichen/ASCCL
tianshuichen/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
tianshuichen/CD-FER-Benchmark
tianshuichen/CV_interviews_Q-A
CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！
tianshuichen/onnx
Open standard for machine learning interoperability
tianshuichen/SSGRL
tianshuichen/tianshuichen.github.io
tianshuichen/TNN
TNN：由腾讯优图实验室打造，移动端高性能、轻量级推断框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推断框架进一步完善。
tianshuichen/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
tianshuichen/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
tianshuichen/Awesome-Image-Composition
A curated list of papers, code and resources pertaining to image composition, including image blending, image harmonization, shadow generation, and object placement.
tianshuichen/Awesome-Image-Matting
:notebook: A curated list of deep learning image matting papers and codes
tianshuichen/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
tianshuichen/Awesome-person-re-identification
Awesome Person Re-identification
tianshuichen/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
tianshuichen/awesome_3DReconstruction_list
A curated list of papers & resources linked to 3D reconstruction from images.
tianshuichen/DeepLearningExamples
Deep Learning Examples
tianshuichen/Fine-Grained-Image-Captioning
The pytorch implementation on “Fine-Grained Image Captioning with Global-Local Discriminative Objective”
tianshuichen/handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
tianshuichen/HCP-MLR-PL
tianshuichen/libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
tianshuichen/NeuralRecon
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
tianshuichen/PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
tianshuichen/Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.
tianshuichen/Scene-Graph-Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
tianshuichen/single-view-3d-reconstruction
tianshuichen/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0