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Jiangpeng He
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2020 – today
- 2024
- [j1]Zhihao Duan, Md Adnan Faisal Hossain, Jiangpeng He, Fengqing Zhu:
Balancing the encoder and decoder complexity in image compression for classification. EURASIP J. Image Video Process. 2024(1): 38 (2024) - [c34]Fiona R. Kolbinger, Jiangpeng He, Jinge Ma, Fengqing Zhu:
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models. CVPR Workshops 2024: 2275-2284 - [c33]Yuning Huang, M. A Hassan, Jiangpeng He, Janine A. Higgins, Megan A. McCrory, Heather A. Eicher-Miller, J. Graham Thomas, Edward Sazonov, Fengqing Zhu:
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. CVPR Workshops 2024: 3685-3694 - [c32]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CVPR Workshops 2024: 3695-3704 - [c31]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CVPR Workshops 2024: 3741-3749 - [c30]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CVPR Workshops 2024: 4054-4064 - [c29]Jiangpeng He:
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. CVPR 2024: 16668-16677 - [c28]Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu:
Towards Backward-Compatible Continual Learning of Image Compression. CVPR 2024: 25564-25573 - [c27]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
FMiFood: Multi-Modal Contrastive Learning for Food Image Classification. MMSP 2024: 1-6 - [c26]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression for Class-Incremental Learning. PCS 2024: 1-5 - [c25]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Image Classification. WACV 2024: 8180-8189 - [i36]Jiangpeng He, Fengqing Zhu:
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. CoRR abs/2402.18528 (2024) - [i35]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression For Class-Incremental Learning. CoRR abs/2403.06288 (2024) - [i34]Fiona R. Kolbinger, Jiangpeng He, Jinge Ma, Fengqing Zhu:
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models. CoRR abs/2403.17192 (2024) - [i33]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CoRR abs/2404.04476 (2024) - [i32]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CoRR abs/2404.07507 (2024) - [i31]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CoRR abs/2404.12257 (2024) - [i30]Yuning Huang, Mohamed Abul Hassan, Jiangpeng He, Janine A. Higgins, Megan A. McCrory, Heather A. Eicher-Miller, John Graham Thomas, Edward Sazonov, Fengqing Maggie Zhu:
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. CoRR abs/2405.07827 (2024) - [i29]Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang:
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR abs/2407.09285 (2024) - [i28]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
FMiFood: Multi-modal Contrastive Learning for Food Image Classification. CoRR abs/2408.03922 (2024) - [i27]Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu:
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. CoRR abs/2409.01966 (2024) - [i26]Jinge Ma, Xiaoyan Zhang, Gautham Vinod, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds. CoRR abs/2411.10492 (2024) - 2023
- [c24]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Personalized Food Image Classification: Benchmark Datasets and New Baseline. ACSSC 2023: 1095-1099 - [c23]Wenjin Fu, Yue Han, Jiangpeng He, Sriram Baireddy, Mridul Gupta, Fengqing Zhu:
Conditional synthetic food image generation. Imaging and Multimedia Analytics at the Edge 2023: 1-6 - [c22]Andrew Peng, Jiangpeng He, Fengqing Zhu:
Self-supervised visual representation learning on food images. Imaging and Multimedia Analytics at the Edge 2023: 1-6 - [c21]Zhihao Duan, Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Upper Bound on the Rate-Distortion Function of Images. ICIP 2023: 246-250 - [c20]Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. ICIP 2023: 1115-1119 - [c19]Zeman Shao, Gautham Vinod, Jiangpeng He, Fengqing Zhu:
An End-to-End Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image. ICME 2023: 942-947 - [c18]Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Encoder-Decoder Framework for Food Energy Estimation. MADiMa@MM 2023: 53-59 - [c17]Yue Han, Jiangpeng He, Mridul Gupta, Edward J. Delp, Fengqing Zhu:
Diffusion Model with Clustering-based Conditioning for Food Image Generation. MADiMa@MM 2023: 61-69 - [c16]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Muti-Stage Hierarchical Food Classification. MADiMa@MM 2023: 79-87 - [i25]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Classification. CoRR abs/2301.05246 (2023) - [i24]Wenjin Fu, Yue Han, Jiangpeng He, Sriram Baireddy, Mridul Gupta, Fengqing Zhu:
Conditional Synthetic Food Image Generation. CoRR abs/2303.09005 (2023) - [i23]Andrew Peng, Jiangpeng He, Fengqing Zhu:
Self-Supervised Visual Representation Learning on Food Images. CoRR abs/2303.09046 (2023) - [i22]Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. CoRR abs/2307.00182 (2023) - [i21]Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu:
Long-Tailed Continual Learning For Visual Food Recognition. CoRR abs/2307.00183 (2023) - [i20]Zeman Shao, Gautham Vinod, Jiangpeng He, Fengqing Zhu:
An End-to-end Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image. CoRR abs/2308.01810 (2023) - [i19]Yue Han, Jiangpeng He, Mridul Gupta, Edward J. Delp, Fengqing Zhu:
Diffusion Model with Clustering-based Conditioning for Food Image Generation. CoRR abs/2309.00199 (2023) - [i18]Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Encoder-Decoder Framework for Food Energy Estimation. CoRR abs/2309.00468 (2023) - [i17]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Muti-Stage Hierarchical Food Classification. CoRR abs/2309.01075 (2023) - [i16]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Personalized Food Image Classification: Benchmark Datasets and New Baseline. CoRR abs/2309.08744 (2023) - 2022
- [c15]Jiangpeng He, Fengqing Zhu:
Out-Of-Distribution Detection In Unsupervised Continual Learning. CVPR Workshops 2022: 3849-3854 - [c14]Zeman Shao, Jiangpeng He, Ya-Yuan Yu, Luotao Lin, Alexandra Cowan, Heather A. Eicher-Miller, Fengqing Zhu:
Towards the creation of a nutrition and food group based image database. Imaging and Multimedia Analytics at the Edge 2022: 1-6 - [c13]Jiangpeng He, Fengqing Zhu:
Exemplar-Free Online Continual Learning. ICIP 2022: 541-545 - [c12]Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu:
Simulating Personal Food Consumption Patterns using a Modified Markov Chain. MADiMa @ ACM Multimedia 2022: 61-69 - [c11]Jiangpeng He, Fengqing Zhu:
Online Continual Learning Via Candidates Voting. WACV 2022: 1292-1301 - [i15]Jiangpeng He, Fengqing Zhu:
Exemplar-free Online Continual Learning. CoRR abs/2202.05491 (2022) - [i14]Jiangpeng He, Fengqing Zhu:
Out-Of-Distribution Detection In Unsupervised Continual Learning. CoRR abs/2204.05462 (2022) - [i13]Zeman Shao, Jiangpeng He, Ya-Yuan Yu, Luotao Lin, Alexandra Cowan, Heather A. Eicher-Miller, Fengqing Zhu:
Towards the Creation of a Nutrition and Food Group Based Image Database. CoRR abs/2206.02086 (2022) - [i12]Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu:
Simulating Personal Food Consumption Patterns using a Modified Markov Chain. CoRR abs/2208.06709 (2022) - [i11]Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, Fengqing Zhu:
Long-tailed Food Classification. CoRR abs/2210.14748 (2022) - 2021
- [c10]Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An End-to-End Food Image Analysis System. IMAWM 2021: 1-7 - [c9]Jiangpeng He, Fengqing Zhu:
Online Continual Learning For Visual Food Classification. ICCVW 2021: 2337-2346 - [c8]Zeman Shao, Yue Han, Jiangpeng He, Runyu Mao, Janine Wright, Deborah A. Kerr, Carol Jo Boushey, Fengqing Zhu:
An Integrated System for Mobile Image-Based Dietary Assessment. AIxFood @ ACM Multimedia 2021: 19-23 - [c7]Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu:
Improving Dietary Assessment Via Integrated Hierarchy Food Classification. MMSP 2021: 1-6 - [c6]Zeman Shao, Shaobo Fang, Runyu Mao, Jiangpeng He, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation. MMSP 2021: 1-6 - [c5]Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning via Pseudo Labels. CSSL 2021: 15-32 - [i10]Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An End-to-End Food Image Analysis System. CoRR abs/2102.00645 (2021) - [i9]Zeman Shao, Shaobo Fang, Runyu Mao, Jiangpeng He, Janine Wright, Deborah A. Kerr, Carol Jo Boushey, Fengqing Zhu:
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation. CoRR abs/2103.07562 (2021) - [i8]Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning Via Pseudo Labels. CoRR abs/2104.07164 (2021) - [i7]Jiangpeng He, Fengqing Zhu:
Online Continual Learning For Visual Food Classification. CoRR abs/2108.06781 (2021) - [i6]Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu:
Improving Dietary Assessment Via Integrated Hierarchy Food Classification. CoRR abs/2109.02736 (2021) - [i5]Zeman Shao, Yue Han, Jiangpeng He, Runyu Mao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An Integrated System for Mobile Image-Based Dietary Assessment. CoRR abs/2110.01754 (2021) - [i4]Jiangpeng He, Fengqing Zhu:
Online Continual Learning Via Candidates Voting. CoRR abs/2110.08855 (2021) - 2020
- [c4]Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning in Online Scenario. CVPR 2020: 13923-13932 - [c3]Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu:
Visual Aware Hierarchy Based Food Recognition. ICPR Workshops (5) 2020: 571-598 - [c2]Jiangpeng He, Zeman Shao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
Multi-task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation. MIPR 2020: 49-54 - [i3]Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning In Online Scenario. CoRR abs/2003.13191 (2020) - [i2]Jiangpeng He, Zeman Shao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation. CoRR abs/2004.13188 (2020) - [i1]Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu:
Visual Aware Hierarchy Based Food Recognition. CoRR abs/2012.03368 (2020)
2010 – 2019
- 2019
- [c1]Jiangpeng He, Kyle Ziga, Judy Bagchi, Fengqing Zhu:
CNN Based Parameter Optimization for Texture Synthesis. Material Appearance 2019: 1-6
Coauthor Index
aka: Fengqing Maggie Zhu
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