Jiangpeng He

According to our database, Jiangpeng He authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models.

Fiona R. Kolbinger, Jiangpeng He, Jinge Ma, Fengqing Zhu

CoRR, 2024

Probing Image Compression For Class-Incremental Learning.

Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu

CoRR, 2024

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning.

Jiangpeng He, Fengqing Zhu

CoRR, 2024

Online Class-Incremental Learning For Real-World Food Image Classification.

Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Long-Tailed Continual Learning For Visual Food Recognition.

Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu

CoRR, 2023

Online Class-Incremental Learning For Real-World Food Classification.

Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

CoRR, 2023

Muti-Stage Hierarchical Food Classification.

Xinyue Pan, Jiangpeng He, Fengqing Zhu

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

An Improved Encoder-Decoder Framework for Food Energy Estimation.

Jack Ma, Jiangpeng He, Fengqing Zhu

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

Diffusion Model with Clustering-based Conditioning for Food Image Generation.

Yue Han, Jiangpeng He, Mridul Gupta, Edward J. Delp, Fengqing Zhu

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

An End-to-End Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image.

Zeman Shao, Gautham Vinod, Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Single-Stage Heavy-Tailed Food Classification.

Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE International Conference on Image Processing, 2023

An Improved Upper Bound on the Rate-Distortion Function of Images.

Zhihao Duan, Jack Ma, Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE International Conference on Image Processing, 2023

Self-supervised visual representation learning on food images.

Andrew Peng, Jiangpeng He, Fengqing Zhu

Proceedings of the Imaging and Multimedia Analytics at the Edge 2023, 2023

Conditional synthetic food image generation.

Wenjin Fu, Yue Han, Jiangpeng He, Sriram Baireddy, Mridul Gupta, Fengqing Zhu

Proceedings of the Imaging and Multimedia Analytics at the Edge 2023, 2023

Personalized Food Image Classification: Benchmark Datasets and New Baseline.

Xinyue Pan, Jiangpeng He, Fengqing Zhu

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Long-tailed Food Classification.

Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, Fengqing Zhu

CoRR, 2022

Online Continual Learning Via Candidates Voting.

Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Simulating Personal Food Consumption Patterns using a Modified Markov Chain.

Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu

Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, 2022

Exemplar-Free Online Continual Learning.

Jiangpeng He, Fengqing Zhu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards the creation of a nutrition and food group based image database.

Zeman Shao, Jiangpeng He, Ya-Yuan Yu, Luotao Lin, Alexandra Cowan, Heather A. Eicher-Miller, Fengqing Zhu

Proceedings of the Imaging and Multimedia Analytics at the Edge 2022, 2022

Out-Of-Distribution Detection In Unsupervised Continual Learning.

Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Unsupervised Continual Learning via Pseudo Labels.

Jiangpeng He, Fengqing Zhu

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

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, Carol J. Boushey, Fengqing Zhu

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Improving Dietary Assessment Via Integrated Hierarchy Food Classification.

Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

An Integrated System for Mobile Image-Based Dietary Assessment.

Zeman Shao, Yue Han, Jiangpeng He, Runyu Mao, Janine Wright, Deborah A. Kerr, Carol Jo Boushey, Fengqing Zhu

Proceedings of the AI & Food'21: Proceedings of the 3rd Workshop on AIxFood, 2021

Online Continual Learning For Visual Food Classification.

Jiangpeng He, Fengqing Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

An End-to-End Food Image Analysis System.

Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2021, 2021

2020

Multi-task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation.

Jiangpeng He, Zeman Shao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Visual Aware Hierarchy Based Food Recognition.

Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Incremental Learning in Online Scenario.

Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

CNN Based Parameter Optimization for Texture Synthesis.

Jiangpeng He, Kyle Ziga, Judy Bagchi, Fengqing Zhu

Proceedings of the Material Appearance 2019, Burlingame, CA, USA, January 13-17, 2019, 2019