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On Model Calibration for Long-Tailed Object Detection and Instance Segmentation


Jul 05, 2021
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao


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MoViNets: Mobile Video Networks for Efficient Video Recognition


Apr 18, 2021
Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

* Accepted to CVPR 2021 

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A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection


Feb 17, 2021
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao


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Ranking Neural Checkpoints


Nov 23, 2020
Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong


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Improving Object Detection with Selective Self-supervised Self-training


Jul 24, 2020
Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong

* Accepted to ECCV 2020 

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Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model


Mar 31, 2020
Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong

* Accepted to CVPR 2020 

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BachGAN: High-Resolution Image Synthesis from Salient Object Layout


Mar 27, 2020
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu

* Accepted to CVPR 2020 

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AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning


Dec 09, 2019
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing


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Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning


Aug 20, 2019
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang

* Preprint, under review 

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NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks


May 13, 2019
Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong


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Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference


Feb 25, 2019
Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang

* Accepted by The Web Conference (WWW) 2019 

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Depthwise Convolution is All You Need for Learning Multiple Visual Domains


Feb 19, 2019
Yunhui Guo, Yandong Li, Rogerio Feris, Liqiang Wang, Tajana Rosing


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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition


Nov 06, 2018
Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen


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How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization


Aug 24, 2018
Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong

* European Conference on Computer Vision (ECCV 2018) 

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VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation


Aug 15, 2017
Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong

* To appear on ICCV 2017 

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Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification


Aug 12, 2017
Yunlong Bian, Chuang Gan, Xiao Liu, Fu Li, Xiang Long, Yandong Li, Heng Qi, Jie Zhou, Shilei Wen, Yuanqing Lin

* A brief summary of the winner solution on Activity Kinetics challenge 2017 

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Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding


Jul 14, 2017
Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen

* To appear on CVPR 2017 YouTube-8M Workshop(Rank 3rd out of 650 teams) 

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