@article{he2024gradient,title={Gradient reweighting: Towards imbalanced class-incremental learning},author={He, Jiangpeng},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},pages={16668--16677},year={2024}}
CVPR
Towards Backward-Compatible Continual Learning of Image Compression
Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He†, Zhan Ma, and Fengqing Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
@article{duan2024continual_compression,title={Towards Backward-Compatible Continual Learning of Image Compression},author={Duan, Zhihao and Lu, Ming and Yang, Justin and He, Jiangpeng and Ma, Zhan and Zhu, Fengqing},journal={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2024},pages={25564--25573},}
WACV
Online Class-Incremental Learning For Real-World Food Image Classification
Siddeshwar Raghavan, Jiangpeng He†, and Fengqing Zhu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
@article{raghavan2024online,title={Online Class-Incremental Learning For Real-World Food Image Classification},author={Raghavan, Siddeshwar and He, Jiangpeng and Zhu, Fengqing},journal={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},pages={8195--8204},year={2024},}
CVPRW
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
Yuning Huang, M A Hassan, Jiangpeng He, Janine Higgins, Megan McCrory, Heather Eicher-Miller, and 3 more authors
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
@article{huang2024automatic,title={Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor},author={Huang, Yuning and A Hassan, M and He, Jiangpeng and Higgins, Janine and McCrory, Megan and Eicher-Miller, Heather and Thomas, J Graham and Sazonov, Edward and Zhu, Fengqing},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={3685--3694},year={2024}}
CVPRW
Food Portion Estimation via 3D Object Scaling
Gautham Vinod, Jiangpeng He, Zeman Shao, and Fengqing Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
@article{vinod2024food,title={Food Portion Estimation via 3D Object Scaling},author={Vinod, Gautham and He, Jiangpeng and Shao, Zeman and Zhu, Fengqing},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={3741--3749},year={2024}}
CVPRW
Learning to Classify New Foods Incrementally Via Compressed Exemplars
Justin Yang, Zhihao Duan, Jiangpeng He, and Fengqing Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024
@article{yang2024cvprw,author={Yang, Justin and Duan, Zhihao and He, Jiangpeng and Zhu, Fengqing},title={Learning to Classify New Foods Incrementally Via Compressed Exemplars},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2024},pages={3695-3704}}
@article{Raghavan_2024_CVPR,author={Raghavan, Siddeshwar and He, Jiangpeng and Zhu, Fengqing},title={DELTA: Decoupling Long-Tailed Online Continual Learning},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2024},pages={4054-4064}}
CVPRW
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
Fiona R. Kolbinger, Jiangpeng He, Jinge Ma, and Fengqing Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024
@article{Kolbinger_2024_CVPR,highlight={Oral},author={Kolbinger, Fiona R. and He, Jiangpeng and Ma, Jinge and Zhu, Fengqing},title={Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2024},pages={2275-2284}}
2023
Nutrients
Long-Tailed Food Classification
Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, and Fengqing Zhu
@article{he2022long,author={He, Jiangpeng and Lin, Luotao and Eicher-Miller, Heather A. and Zhu, Fengqing},title={Long-Tailed Food Classification},journal={Nutrients},volume={15},year={2023}}
@article{he2023single,highlight={Oral},title={Single-stage heavy-tailed food classification},author={He, Jiangpeng and Zhu, Fengqing},booktitle={2023 IEEE International Conference on Image Processing (ICIP)},pages={1115--1119},year={2023},organization={IEEE}}
ICME
An end-to-end food portion estimation framework based on shape reconstruction from monocular image
Zeman Shao, Gautham Vinod, Jiangpeng He, and Fengqing Zhu
@article{shao2023end,title={An end-to-end food portion estimation framework based on shape reconstruction from monocular image},author={Shao, Zeman and Vinod, Gautham and He, Jiangpeng and Zhu, Fengqing},booktitle={2023 IEEE International Conference on Multimedia and Expo (ICME)},pages={942--947},year={2023}}
ICIP
An Improved Upper Bound on the Rate-Distortion Function of Images
Zhihao Duan, Jack Ma, Jiangpeng He, and Fengqing Zhu
2023 IEEE International Conference on Image Processing (ICIP), Jun 2023
@article{duan2023improved,highlight={Oral},title={An Improved Upper Bound on the Rate-Distortion Function of Images},author={Duan, Zhihao and Ma, Jack and He, Jiangpeng and Zhu, Fengqing},journal={2023 IEEE International Conference on Image Processing (ICIP)},pages={246--250},year={2023},organization={IEEE}}
Asilomar
Personalized Food Image Classification: Benchmark Datasets and New Baseline
Xinyue Pan, Jiangpeng He, and Fengqing Zhu
2023 57th Asilomar Conference on Signals, Systems, and Computers, Jun 2023
@article{pan2023personalized,highlight={Best Student Paper Finalist},title={Personalized Food Image Classification: Benchmark Datasets and New Baseline},author={Pan, Xinyue and He, Jiangpeng and Zhu, Fengqing},journal={2023 57th Asilomar Conference on Signals, Systems, and Computers},pages={1095--1099},year={2023},organization={IEEE}}
Nutrients
Integration of USDA Food Classification System and Food Composition Database for Image-Based Dietary Assessment among Individuals Using Insulin
Luotao Lin, Jiangpeng He, Fengqing Zhu, Edward J Delp, and Heather A Eicher-Miller
@article{lin2023integration,title={Integration of USDA Food Classification System and Food Composition Database for Image-Based Dietary Assessment among Individuals Using Insulin},author={Lin, Luotao and He, Jiangpeng and Zhu, Fengqing and Delp, Edward J and Eicher-Miller, Heather A},journal={Nutrients},volume={15},number={14},pages={3183},year={2023},publisher={MDPI}}
2022
WACV
Online Continual Learning via Candidates Voting
Jiangpeng He, and Fengqing Zhu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jun 2022
@article{He_2022_WACV,author={He, Jiangpeng and Zhu, Fengqing},title={Online Continual Learning via Candidates Voting},journal={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},year={2022},pages={3154-3163}}
ICIP
Exemplar-Free Online Continual Learning
Jiangpeng He, and Fengqing Zhu
2022 IEEE International Conference on Image Processing, Jun 2022
@article{he2022_expfree,author={He, Jiangpeng and Zhu, Fengqing},journal={2022 IEEE International Conference on Image Processing},title={Exemplar-Free Online Continual Learning},year={2022},pages={541-545}}
CVPRW
Out-of-Distribution Detection in Unsupervised Continual Learning
Jiangpeng He, and Fengqing Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2022
@article{He_2022_CVPR_ood,author={He, Jiangpeng and Zhu, Fengqing},title={Out-of-Distribution Detection in Unsupervised Continual Learning},journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2022},pages={3850-3855}}
2021
EI
An end-to-end food image analysis system
Jiangpeng He, Runyu Mao, Zeman Shao, Janine L Wright, Deborah A Kerr, Carol J Boushey, and 1 more author
@article{he2021end,title={An end-to-end food image analysis system},author={He, Jiangpeng and Mao, Runyu and Shao, Zeman and Wright, Janine L and Kerr, Deborah A and Boushey, Carol J and Zhu, Fengqing},journal={Electronic Imaging},volume={2021},number={8},pages={285--1},year={2021},publisher={Society for Imaging Science and Technology}}
MMSP
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
Zeman Shao, Shaobo Fang, Runyu Mao, Jiangpeng He, Janine L. Wright, Deborah A. Kerr, and 2 more authors
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), Jun 2021
@article{shao2021_toward,author={Shao, Zeman and Fang, Shaobo and Mao, Runyu and He, Jiangpeng and Wright, Janine L. and Kerr, Deborah A. and Boushey, Carol J. and Zhu, Fengqing},journal={2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)},title={Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation},year={2021},pages={1-6}}
MMSP
Improving Dietary Assessment Via Integrated Hierarchy Food Classification
Runyu Mao*, Jiangpeng He*, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, and Fengqing Maggie Zhu
Proceedings of the IEEE International Workshop on Multimedia Signal Processing, Jun 2021
@article{Mao2021ImprovingDA,title={Improving Dietary Assessment Via Integrated Hierarchy Food Classification},author={Mao, Runyu and He, Jiangpeng and Lin, Luotao and Shao, Zeman and Eicher-Miller, Heather A. and Zhu, Fengqing Maggie},journal={Proceedings of the IEEE International Workshop on Multimedia Signal Processing},year={2021},pages={1-6},}
ICPR
Visual aware hierarchy based food recognition
Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, and Fengqing Zhu
International conference on pattern recognition, Jun 2021
@article{mao2021visual,title={Visual aware hierarchy based food recognition},author={Mao, Runyu and He, Jiangpeng and Shao, Zeman and Yarlagadda, Sri Kalyan and Zhu, Fengqing},journal={International conference on pattern recognition},pages={571--598},year={2021},organization={Springer}}
ICCVW
Online Continual Learning For Visual Food Classification
Jiangpeng He, and Fengqing Zhu
Proceedings of IEEE/CVF International Conference on Computer Vision Workshops, Jun 2021
@article{he2021,author={He, Jiangpeng and Zhu, Fengqing},journal={Proceedings of IEEE/CVF International Conference on Computer Vision Workshops},title={Online Continual Learning For Visual Food Classification},year={2021},pages={2337-2346}}
LNAI
Unsupervised continual learning via pseudo labels
Jiangpeng He, and Fengqing Zhu
International Workshop on Continual Semi-Supervised Learning, Jun 2021
@article{he2021unsupervised,title={Unsupervised continual learning via pseudo labels},author={He, Jiangpeng and Zhu, Fengqing},journal={International Workshop on Continual Semi-Supervised Learning},pages={15--32},year={2021},organization={Springer}}
2020
CVPR
Incremental learning in online scenario
Jiangpeng He, Runyu Mao, Zeman Shao, and Fengqing Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), Jun 2020
@article{he2020incremental,title={Incremental learning in online scenario},author={He, Jiangpeng and Mao, Runyu and Shao, Zeman and Zhu, Fengqing},journal={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)},pages={13926--13935},year={2020}}
MIPR
Multi-task image-based dietary assessment for food recognition and portion size estimation
Jiangpeng He, Zeman Shao, Janine Wright, Deborah Kerr, Carol Boushey, and Fengqing Zhu
@article{he2020multi,title={Multi-task image-based dietary assessment for food recognition and portion size estimation},author={He, Jiangpeng and Shao, Zeman and Wright, Janine and Kerr, Deborah and Boushey, Carol and Zhu, Fengqing},booktitle={2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},pages={49--54},year={2020},organization={IEEE}}
2019
EI
CNN Based Parameter Optimization for Texture Synthesis
Jiangpeng He, Kyle Ziga, Judy Bagchi, and Fengqing Zhu
@article{he2019cnn,highlight={Best Student Paper},title={CNN Based Parameter Optimization for Texture Synthesis},author={He, Jiangpeng and Ziga, Kyle and Bagchi, Judy and Zhu, Fengqing},journal={Electronic Imaging},volume={31},pages={1--6},year={2019},publisher={Society for Imaging Science and Technology}}