Jieru Mei

I am a final-year PhD student in Computer Science at Johns Hopkins University, advised by Bloomberg Distinguished Professor Dr. Alan Yuille. I am a member of Computational Cognition, Vision, and Learning.

Before that, I obtained B.S. in Automation at Huazhong University of Science and Technology in 2018. I also spent time at Waymo, Google Brain, Tencent, ByteDance, and MSRA.

Actively looking for full-time opportunities starting in 2023.

Email / Google Scholar / Github

News

1 paper accepted to ICCV 2023.
1 paper accepted to IROS 2023.
1 paper accepted to MICCAI 2023.
1 paper accepted to IEEE TPAMI.
2 papers accepted to ECCV 2022.
1 paper accepted to ICLR 2022.
I join Waymo LLC as a research intern in Jan 2022.
1 paper accepted to NeurIPS 2021.
1 paper accepted to ICLR 2021.
I join Google Brain as a research intern in June 2020.
I join Tencent as a research intern in March 2020.
1 paper accepted to AAAI 2020.
1 paper accepted to CVPR 2020.
1 paper accepted to ICLR 2020.
I join ByteDance as a research intern in May 2019.

Research

My research lies in computer vision and deep learning.

	Superpixel Transformers for Efficient Semantic Segmentation Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar IROS, 2023 paper
	SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan Yuille, Cihang Xie, Yuyin Zhou MICCAI (Oral), 2023 paper / project page
	Batch Normalization with Enhanced Linear Transformation Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan Yuille IEEE TPAMI, 2023 paper / project page
	Waymo Open Dataset: Panoramic Video Panoptic Segmentation Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar ECCV, 2022 paper / project page / code
	In Defense of Image Pre-Training for Spatiotemporal Recognition Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie ECCV, 2022 paper / project page
	Fast AdvProp Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan Yuille, Cihang Xie ICLR, 2022 paper / project page
	Are Transformers more robust than CNNs? Yutong Bai, Jieru Mei, Alan L Yuille, Cihang Xie NIPS, 2021 paper / project page
	Shape-Texture Debiased Neural Network Training Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie ICLR, 2021 paper / project page
	CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille AAAI, 2021 paper / project page
	Neural Architecture Search for Lightweight Non-Local Networks Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille CVPR, 2020 paper / project page
	AtomNAS: Fine-grained end-to-end neural architecture search Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan Yuille, Jianchao Yang ICLR, 2020 paper / project page
	Learning to Refine 3D Human Pose Sequences Jieru Mei, Xingyu Chen, Chunyu Wang, Alan Yuille, Xuguang Lan, Wenjun Zeng 3DV, 2019 paper
	Online dictionary learning for approximate archetypal analysis Jieru Mei, Chunyu Wang, Wenjun Zeng ECCV, 2018 paper
	Scene text script identification with convolutional recurrent neural networks Jieru Mei, Luo Dai, Baoguang Shi, Xiang Bai ICPR, 2016 paper

Stolen from Jon Barron