Ju He

I am a fourth-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 my B.S. in Computer Science from Peking University. I have also spent great time at TikTok, Meta, ByteDance, SenseTime, and Momenta.

Google Scholar / LinkedIn / GitHub

Publications

	MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen Technical report arXiv / code / project page
	Learning Part Segmentation from Synthetic Animals Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan Yuille WACVW on Computer Vision with Small Data, 2024 Oral arXiv
	Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen NeurIPS, 2023 arXiv / code
	Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation Ju He, Jieneng Chen, Mingxian, Lin, Qihang Yu, Alan Yuille CVPR, 2023 arXiv / code
	CORL: Compositional Representation Learning for Few-Shot Classification Ju He, Adam Kortylewski, Alan Yuille WACV, 2023 arXiv
	PartImageNet: A Large, High-Quality Dataset of Parts Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille ECCV, 2022 arXiv / code
	OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski ECCV, 2022 Oral arXiv / project page
	TransMix: Attend to Mix for Vision Transformers Jieneng Chen, Shuyang Sun, Ju He, Philip Torr, Alan Yuille, Song Bai CVPR, 2022 arXiv / 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 arXiv / code
	Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille Technical report arXiv / code
	TransFG: A Transformer Architecture for Fine-grained Recognition Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille AAAI, 2022 arXiv / code
	Compositional Generative Networks and Robustness to Perceptible Image Changes Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan Yuille CISS, 2021 IEEE
	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 arXiv
	Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski, Ju He, Qing Liu, Alan Yuille CVPR, 2020 arXiv / code
	Point Cloud Attribute Inpainting in Graph Spectral Domain Ju He, Zeqing Fu, Wei Hu, Zongming Guo ICIP, 2019 Oral IEEE