My current work mainly includes Large Vision-Language Model accelerating and development for autonomous vehicles and other smart devices. Before I joined the industry, I worked on computer vision during my PhD, especially vision language tasks and distribution bias problem. I was selected as one of the world’s top 2% scientists in 2024.
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Scene-Graph-Benchmark.pytorch
Scene-Graph-Benchmark.pytorch PublicA 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 “Unbiase…
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Long-Tailed-Recognition.pytorch
Long-Tailed-Recognition.pytorch Public[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…
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VQA2.0-Recent-Approachs-2018.pytorch
VQA2.0-Recent-Approachs-2018.pytorch PublicA pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visu…
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VCTree-Scene-Graph-Generation
VCTree-Scene-Graph-Generation PublicCode for the Scene Graph Generation part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"
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Generalized-Long-Tailed-Benchmarks.pytorch
Generalized-Long-Tailed-Benchmarks.pytorch Public[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together…
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Building-a-Small-LLM-from-Scratch
Building-a-Small-LLM-from-Scratch Public该系列的目的是让读者可以在基础的pytorch上,不依赖任何其他现成的外部库,从零开始理解并实现一个大语言模型的所有组成部分,以及训练微调代码,因此读者仅需python,pytorch和最基础深度学习背景知识即可。
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