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- Beijing, P. R. China
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- https://scholar.google.com/citations?user=uPBztC0AAAAJ&hl=zh-CN
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Video+code lecture on building nanoGPT from scratch
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR co…
Tips for Writing a Research Paper using LaTeX
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
A Python Re-implementation of the paper "Recovering High Dynamic Range Radiance Maps from Photographs"
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
YOLOv10: Real-Time End-to-End Object Detection
Newly released traffic light dataset for small object detection.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
CVPR 2024: Official repository of 'Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network'
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
[CVPR 2024] Real-Time HDR Video Reconstruction
Visualizer for neural network, deep learning and machine learning models
[ICLR 2024] Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of HDR imaging papers.
[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
[CVPR 2024] Real-Time Open-Vocabulary Object Detection