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Yonghong Tian

Fine-Grained Object Classification via Self-Supervised Pose Alignment



Xuhui Yang , Yaowei Wang , Ke Chen , Yong Xu , Yonghong Tian

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Masked Autoencoders for Point Cloud Self-supervised Learning



Yatian Pang , Wenxiao Wang , Francis E. H. Tay , Wei Liu , Yonghong Tian , Li Yuan

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* https://github.com/Pang-Yatian/Point-MAE 
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Training-free Transformer Architecture Search



Qinqin Zhou , Kekai Sheng , Xiawu Zheng , Ke Li , Xing Sun , Yonghong Tian , Jie Chen , Rongrong Ji

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* Accepted to CVPR 2022 
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Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection



Lantian Xue , Yixiong Zou , Peixi Peng , Yonghong Tian , Tiejun Huang

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* submitted to ICME2022 
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Transformations in Learned Image Compression from a Modulation Perspective



Youneng Bao , Fangyang Meng , Wen Tan , Chao Li , Yonghong Tian , Yongsheng Liang

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* 10 pages, 8 figures 
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PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs



Zhe Lin , Zike Yuan , Jieru Zhao , Wei Zhang , Hui Wang , Yonghong Tian

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* Preprint of the paper to be published in Design, Automation and Test in Europe Conference (DATE 2022) 
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Event-based Video Reconstruction via Potential-assisted Spiking Neural Network



Lin Zhu , Xiao Wang , Yi Chang , Jianing Li , Tiejun Huang , Yonghong Tian

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1000x Faster Camera and Machine Vision with Ordinary Devices



Tiejun Huang , Yajing Zheng , Zhaofei Yu , Rui Chen , Yuan Li , Ruiqin Xiong , Lei Ma , Junwei Zhao , Siwei Dong , Lin Zhu , Jianing Li , Shanshan Jia , Yihua Fu , Boxin Shi , Si Wu , Yonghong Tian

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Deep Reinforcement Learning with Spiking Q-learning



Ding Chen , Peixi Peng , Tiejun Huang , Yonghong Tian


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