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

Publications

	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 PDF / Code
	TransMix: Attend to Mix for Vision Transformers Jie-Neng Chen, Shuyang Sun, Ju He, Philip Torr, Alan Yuille, Song Bai CVPR, 2022 PDF / Code
	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 PDF
	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 PDF / Project Page
	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 PDF / Code
	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 PDF / Code
	Compositional Generative Networks and Robustness to Perceptible Image Changes Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan Yuille CISS, 2021 PDF
	COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification Ju He, Adam Kortylewski, Alan Yuille arXiv preprint, 2021 PDF
	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 PDF
	Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski, Ju He, Qing Liu, Alan Yuille CVPR, 2020 PDF / Code / Supplementary / Video
	POINT CLOUD ATTRIBUTE INPAINTING IN GRAPH SPECTRAL DOMAIN Ju He, Zeqing Fu, Wei Hu, Zongming Guo ICIP, 2019 Oral PDF