CNN Based Parameter Optimization for Texture Synthesis. - Jiangpeng He; Kyle Ziga; Judy Bagchi; Fengqing Zhu 001 (Material Appearance, 2019)

Incremental Learning in Online Scenario. - Jiangpeng He; Runyu Mao; Zeman Shao; Fengqing Zhu 001 (CVPR, 2020)

Visual Aware Hierarchy Based Food Recognition. - Runyu Mao; Jiangpeng He; Zeman Shao; Sri Kalyan Yarlagadda; Fengqing Zhu 001 (ICPR Workshops (5), 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 001 (MIPR, 2020)

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 001 (IMAWM, 2021)

Online Continual Learning For Visual Food Classification. - Jiangpeng He; Fengqing Zhu 001 (ICCVW, 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 001 (AIxFood @ ACM Multimedia, 2021)

Improving Dietary Assessment Via Integrated Hierarchy Food Classification. - Runyu Mao; Jiangpeng He; Luotao Lin; Zeman Shao; Heather A. Eicher-Miller; Fengqing Zhu 001 (MMSP, 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 001 (MMSP, 2021)

Unsupervised Continual Learning via Pseudo Labels. - Jiangpeng He; Fengqing Zhu 001 (CSSL, 2021)

Out-Of-Distribution Detection In Unsupervised Continual Learning. - Jiangpeng He; Fengqing Zhu 001 (CVPR Workshops, 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 001 (Imaging and Multimedia Analytics at the Edge, 2022)

Exemplar-Free Online Continual Learning. - Jiangpeng He; Fengqing Zhu 001 (ICIP, 2022)

Simulating Personal Food Consumption Patterns using a Modified Markov Chain. - Xinyue Pan; Jiangpeng He; Andrew Peng; Fengqing Zhu 001 (MADiMa @ ACM Multimedia, 2022)

Online Continual Learning Via Candidates Voting. - Jiangpeng He; Fengqing Zhu 001 (WACV, 2022)

Long-tailed Food Classification. - Jiangpeng He; Luotao Lin; Heather A. Eicher-Miller; Fengqing Zhu 001 (CoRR, 2022)

Personalized Food Image Classification: Benchmark Datasets and New Baseline. - Xinyue Pan; Jiangpeng He; Fengqing Zhu 001 (ACSSC, 2023)

Conditional synthetic food image generation. - Wenjin Fu; Yue Han; Jiangpeng He; Sriram Baireddy; Mridul Gupta; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2023)

Self-supervised visual representation learning on food images. - Andrew Peng; Jiangpeng He; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2023)

An Improved Upper Bound on the Rate-Distortion Function of Images. - Zhihao Duan; Jack Ma; Jiangpeng He; Fengqing Zhu 001 (ICIP, 2023)

Single-Stage Heavy-Tailed Food Classification. - Jiangpeng He; Fengqing Zhu 001 (ICIP, 2023)

An End-to-End Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image. - Zeman Shao; Gautham Vinod; Jiangpeng He; Fengqing Zhu 001 (ICME, 2023)

Diffusion Model with Clustering-based Conditioning for Food Image Generation. - Yue Han; Jiangpeng He; Mridul Gupta; Edward J. Delp; Fengqing Zhu 001 (MADiMa@MM, 2023)

An Improved Encoder-Decoder Framework for Food Energy Estimation. - Jack Ma; Jiangpeng He; Fengqing Zhu 001 (MADiMa@MM, 2023)

Muti-Stage Hierarchical Food Classification. - Xinyue Pan; Jiangpeng He; Fengqing Zhu 001 (MADiMa@MM, 2023)

Online Class-Incremental Learning For Real-World Food Classification. - Siddeshwar Raghavan; Jiangpeng He; Fengqing Zhu 001 (CoRR, 2023)

Long-Tailed Continual Learning For Visual Food Recognition. - Jiangpeng He; Luotao Lin; Jack Ma; Heather A. Eicher-Miller; Fengqing Zhu 001 (CoRR, 2023)

Towards Backward-Compatible Continual Learning of Image Compression. - Zhihao Duan; Ming Lu; Justin Yang; Jiangpeng He; Zhan Ma; Fengqing Zhu 001 (CVPR, 2024)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. - Jiangpeng He (CVPR, 2024)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. - Yuning Huang; M. A Hassan; Jiangpeng He; Janine A. Higgins; Megan A. McCrory; Heather A. Eicher-Miller; J. Graham Thomas; Edward Sazonov; Fengqing Zhu 001 (CVPR Workshops, 2024)

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models. - Fiona R. Kolbinger; Jiangpeng He; Jinge Ma; Fengqing Zhu 001 (CVPR Workshops, 2024)

DELTA: Decoupling Long-Tailed Online Continual Learning. - Siddeshwar Raghavan; Jiangpeng He; Fengqing Zhu 001 (CVPR Workshops, 2024)

Food Portion Estimation via 3D Object Scaling. - Gautham Vinod; Jiangpeng He; Zeman Shao; Fengqing Zhu 001 (CVPR Workshops, 2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars. - Justin Yang; Zhihao Duan; Jiangpeng He; Fengqing Zhu 001 (CVPR Workshops, 2024)

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds. - Jinge Ma; Xiaoyan Zhang; Gautham Vinod; Siddeshwar Raghavan; Jiangpeng He; Fengqing Zhu 001 (ICPR (Workshops and Challenges, 4), 2024)

FMiFood: Multi-Modal Contrastive Learning for Food Image Classification. - Xinyue Pan; Jiangpeng He; Fengqing Zhu 001 (MMSP, 2024)

Probing Image Compression for Class-Incremental Learning. - Justin Yang; Zhihao Duan; Andrew Peng; Yuning Huang; Jiangpeng He; Fengqing Zhu 001 (PCS, 2024)

Online Class-Incremental Learning For Real-World Food Image Classification. - Siddeshwar Raghavan; Jiangpeng He; Fengqing Zhu 001 (WACV, 2024)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. - Jiangpeng He; Fengqing Zhu 001 (CoRR, 2024)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. - 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 (CoRR, 2024)

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. - Jiangpeng He; Yuhao Chen 001; Gautham Vinod; Talha Ibn Mahmud; Fengqing Zhu 001; Edward J. Delp; Alexander Wong; Pengcheng Xi; Ahmad AlMughrabi; Umair Haroon; Ricardo Marques; Petia Radeva; et al. (CoRR, 2024)

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. - Yuhao Chen 001; Jiangpeng He; Chris Czarnecki; Gautham Vinod; Talha Ibn Mahmud; Siddeshwar Raghavan; Jinge Ma; Dayou Mao; Saeejith Nair; Pengcheng Xi; Alexander Wong; Edward J. Delp; et al. (CoRR, 2024)

Balancing the encoder and decoder complexity in image compression for classification. - Zhihao Duan; Md Adnan Faisal Hossain; Jiangpeng He; Fengqing Zhu 001 (EURASIP J. Image Video Process., 2024)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning. - Jiangpeng He; Zhihao Duan; Fengqing Zhu 001 (CVPR, 2025)

Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models. - Nicolas Michel; Maorong Wang; Jiangpeng He; Toshihiko Yamasaki (CoRR, 2025)

Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception. - Jinge Ma; Jiangpeng He; Fengqing Zhu 001 (CoRR, 2025)

Evaluating Large Multimodal Models for Nutrition Analysis: A Benchmark Enriched with Contextual Metadata. - Bruce Coburn; Jiangpeng He; Megan E. Rollo; Satvinder S. Dhaliwal; Deborah A. Kerr; Fengqing Zhu 001 (CoRR, 2025)