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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
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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
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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
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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
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CORL: Compositional Representation Learning for Few-Shot Classification
Ju He,
Adam Kortylewski,
Alan Yuille
WACV, 2023
arXiv
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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
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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
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TransMix: Attend to Mix for Vision Transformers
Jieneng Chen,
Shuyang Sun,
Ju He,
Philip Torr,
Alan Yuille,
Song Bai
CVPR, 2022
arXiv /
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
arXiv /
code
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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
Technical report
arXiv /
code
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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
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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
IEEE
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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
arXiv
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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
arXiv /
code
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Point Cloud Attribute Inpainting in Graph Spectral Domain
Ju He,
Zeqing Fu,
Wei Hu,
Zongming Guo
ICIP, 2019   Oral
IEEE
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Experience
- Research Intern, TikTok, Apr. 2023 - Sep. 2023
- Research Intern, Meta, May. 2022 - Nov. 2022
- Research Intern, ByteDance, Jan. 2021 - May. 2022
- Research Intern, SenseTime Research, Jul. 2020 - Dec. 2020
- Research Intern, Johns Hopkins University, Jun. 19 - Nov. 2019
- Research Intern, Peking University, Sep. 2018 - Jun. 2020
- Research Intern, Momenta, Jun. 2018 - Oct. 2018
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Last update: Jan. 2024      Template
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