Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition by Deep Convolutional Neural Networks, 2022
A Jittor-based Library for pulling together a wide variety of SOTA deep learning models in the Jittor framework, 2021
(Winner solution of the Dog Species Classification track in the Jittor AI Competition)
A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks, 2020
(Winner solution of the Similar Image Retrieval track in China Artificial Intelligence Competitions)
RPC: A Large-Scale and Fine-Grained Retail Product Checkout Dataset, 2019
(The largest fine-grained product dataset so far for retail scenarios.)
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transformation, 2018
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Bird Species Categorization, 2018
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval, 2017
Deep Bimodal Regression for Apparent Personality Analysis, 2016
(Winner solution of the 2016 Looking at People ECCV Challenge)
Scalable Multiple Instance Learning, 2016