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signal processing fan's Projects

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[CVPR 2023] STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection

stnbhwd icon stnbhwd

Modules for spatial transformer networks (BHWD layout)

stock-top-papers icon stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, TKDE, CIKM, AAAI, IJCAI, ACL, EMNLP.

strcf icon strcf

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking (CVPR 2018)

sugar icon sugar

Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

textproposals icon textproposals

Implementation of the method proposed in the papers " TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild" and "Object Proposals for Text Extraction in the Wild" (Gomez & Karatzas), 2016 and 2015 respectively.

text_extraction icon text_extraction

This code is the implementation of the method proposed in the paper “Multi-script text extraction from natural scenes” (Gomez & Karatzas) to appear in ICDAR2013 conference.

time-series-papers icon time-series-papers

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章,主要包含基于机器学习的算法

tiny icon tiny

Tiny Face Detector, CVPR 2017

torchseg icon torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

totalselfscan icon totalselfscan

Code for "TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies" (NeurIPS 2022)

towards-reid-tracking icon towards-reid-tracking

Code for the paper "Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters"

tpn icon tpn

Tubelet Proposal Network

triplet-reid icon triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

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