Ju He

Ju is a research scientist at ByteDance. Previously, he received his Ph.D. degree from Computer Science department at Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan L. Yuille. He is a member of Computational Cognition, Vision, and Learning.

Before that, he obtained his B.S. degree from Computer Science department at Peking University in 2020.

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News
  • Check out DiMR, a multi-resolution network for diffusion models.
Publications
Full list on Google Scholar Profile
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Qihao Liu*, Zhanpeng Zeng*, Ju He*, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Technical report
arXiv / code / project page

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan Yuille, Xiaohui Shen, Liang-Chieh Chen
In Transactions on Machine Learning Research (TMLR), 2024
arXiv / code

Learning Part Segmentation from Synthetic Animals
Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan Yuille
In Winter Conference on Applications of Computer Vision Workshop (WACVW), 2024
arXiv

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
In Neural Information Processing Systems (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
In Conference on Computer Vision and Pattern Recognition (CVPR), 2023
arXiv / code

CORL: Compositional Representation Learning for Few-Shot Classification
Ju He, Adam Kortylewski, Alan Yuille
In Winter Conference on Applications of Computer Vision (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
In European Conference on Computer Vision (ECCV), 2022
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
In Association for the Advancement of Artificial Intelligence (AAAI), 2022
arXiv / code

Semi-synthesis: A fast way to produce effective datasets for stereo matching
Ju He*, Enyu Zhou*, Liusheng Sun, Fei Lei, Chenyang Liu, Wenxiu Sun
In Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
arXiv

Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille
In Conference on Computer Vision and Pattern Recognition (CVPR), 2020
arXiv / code


Last update: Jun. 2024      Template