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Visual Encoding and Debiasing for CTR Prediction



Si Chen , Chen Lin , Wanxian Guan , Jiayi Wei , Xingyuan Bu , He Guo , Hui Li , Xubin Li , Jian Xu , Bo Zheng


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Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection



Weixin Feng , Xingyuan Bu , Chenchen Zhang , Xubin Li

* Submitted to CVPR2022 

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GAIA: A Transfer Learning System of Object Detection that Fits Your Needs



Xingyuan Bu , Junran Peng , Junjie Yan , Tieniu Tan , Zhaoxiang Zhang

* CVPR2021. The first two authors contribute equally. Code is released at https://github.com/GAIA-vision 

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DETR for Pedestrian Detection



Matthieu Lin , Chuming Li , Xingyuan Bu , Ming Sun , Chen Lin , Junjie Yan , Wanli Ouyang , Zhidong Deng


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Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels



Junran Peng , Xingyuan Bu , Ming Sun , Zhaoxiang Zhang , Tieniu Tan , Junjie Yan

* CVPR2020 oral. The first two authors contribute equally 

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Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019



Xingyuan Bu , Junran Peng , Changbao Wang , Cunjun Yu , Guoliang Cao

* 6 pages, 3 figures, ICCV 2019 Open Images Workshop 

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Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance



Yuan Gao , Xingyuan Bu , Yang Hu , Hui Shen , Ti Bai , Xubin Li , Shilei Wen

* 5 pages, 4 figures, ECCV 2018 Open Images workshop 

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Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds



Zhi Gao , Yuwei Wu , Xingyuan Bu , Yunde Jia

* 11 pages, 8figures 

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