Ju He
I am a second-year Computer Science Ph.D. student at Johns Hopkins University,
where I am fortunate to be advised by Bloomberg Distinguished Professor
Alan L. Yuille.
Before that, I received the B.S. in Computer Science from Peking University. I have also spent great time at ByteDance, SenseTime, and Momenta. I will spend my next summer at Meta as a Research Scientist Intern.
I'm exploring various learning-based computer vision problems. Currently, I am interested in image segmentation and egocentric vision.
Feel free to contact me through: jhe47@jh.edu.
Google Scholar  / 
LinkedIn  / 
GitHub
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PartImageNet: A Large, High-Quality Dataset of Parts
Ju He,
Shuo Yang,
Shaokang Yang,
Adam Kortylewski,
Xiaoding Yuan,
Jie-Neng Chen,
Shuai Liu,
Cheng Yang,
Qihang Yu,
Alan Yuille
arXiv preprint, 2021
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Code
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TransMix: Attend to Mix for Vision Transformers
Jie-Neng Chen,
Shuyang Sun,
Ju He,
Philip Torr,
Alan Yuille,
Song Bai
CVPR, 2022
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Code
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Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao,
Longlong Jing,
Lin Zhang,
Ju He,
Qi She,
Zongwei Zhou,
Alan Yuille,
Yingwei Li
CVPR, 2022
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ROBIN: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
Bingchen Zhao,
Shaozuo Yu,
Wufei Ma,
Mingxin Yu,
Shenxiao Mei,
Angtian Wang,
Ju He,
Alan Yuille,
Adam Kortylewski
arXiv preprint, 2021
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Project Page
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Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Ju He,
Adam Kortylewski,
Shaokang Yang,
Shuai Liu,
Cheng Yang,
Changhu Wang,
Alan Yuille
arXiv preprint, 2021
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Code
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TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He,
Jie-Neng Chen,
Shuai Liu,
Adam Kortylewski,
Cheng Yang,
Yutong Bai,
Changhu Wang,
Alan Yuille
AAAI, 2022
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Code
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Compositional Generative Networks and Robustness to Perceptible Image Changes
Adam Kortylewski,
Ju He,
Qing Liu,
Christian Cosgrove,
Chenglin Yang,
Alan Yuille
CISS, 2021
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COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification
Ju He,
Adam Kortylewski,
Alan Yuille
arXiv preprint, 2021
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Semi-synthesis: A fast way to produce effective datasets for stereo matching
Ju He*,
Enyu Zhou*,
Liusheng Sun,
Fei Lei,
Chenyang Liu,
Wenxiu Sun
CVPRW on Autonomous Driving, 2021
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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski,
Ju He,
Qing Liu,
Alan Yuille
CVPR, 2020
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Code /
Supplementary /
Video
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POINT CLOUD ATTRIBUTE INPAINTING IN GRAPH SPECTRAL DOMAIN
Ju He,
Zeqing Fu,
Wei Hu,
Zongming Guo
ICIP, 2019   Oral
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Experience
- Research Intern, ByteDance, Jan. 2021 - Present
- Research Assistant, Johns Hopkins University, Sep. 2020 - Present
- Research Intern, SenseTime Research, Jul. 2020 - Dec. 2020
- Research Intern, Johns Hopkins University, Summer 2019
- Research Assistant, Peking University, Sep. 2018 - Jun. 2020
- Research Intern, Momenta, Jun. 2018 - Oct. 2018
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Last update: Mar. 2022      Template
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