Spatial Texture Models for Video Compression. - Marc Bosch; Fengqing Zhu 001; Edward J. Delp (ICIP (1), 2007)

Recent advances in video compression: What's next? - Limin Liu; Fengqing Zhu 001; Marc Bosch; Edward J. Delp (ISSPA, 2007)

Spatial and temporal models for texture-based video coding. - Fengqing Zhu 001; Ka Ki Ng; Golnaz Abdollahian; Edward J. Delp (VCIP, 2007)

Technology-assisted dietary assessment. - Fengqing Zhu 001; Anand Mariappan; Carol J. Boushey; Deborah A. Kerr; Kyle D. Lutes; David S. Ebert; Edward J. Delp (Computational Imaging, 2008)

Video coding using motion classification. - Marc Bosch; Fengqing Zhu 001; Edward J. Delp (ICIP, 2008)

Personal dietary assessment using mobile devices. - Anand Mariappan; Marc Bosch; Fengqing Zhu 001; Carol J. Boushey; Deborah A. Kerr; David S. Ebert; Edward J. Delp (Computational Imaging, 2009)

Perceptual quality evaluation for texture and motion based video coding. - Marc Bosch; Fengqing Zhu 001; Edward J. Delp (ICIP, 2009)

An overviewof texture and motion based video coding at Purdue University. - Marc Bosch; Fengqing Zhu 001; Edward J. Delp (PCS, 2009)

An image analysis system for dietary assessment and evaluation. - Fengqing Zhu 001; Marc Bosch; Carol J. Boushey; Edward J. Delp (ICIP, 2010)

The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation. - Fengqing Zhu 001; Marc Bosch; Insoo Woo; SungYe Kim; Carol J. Boushey; David S. Ebert; Edward J. Delp (IEEE J. Sel. Top. Signal Process., 2010)

Volume estimation using food specific shape templates in mobile image-based dietary assessment. - Junghoon Chae; Insoo Woo; SungYe Kim; Ross Maciejewski; Fengqing Zhu 001; Edward J. Delp; Carol J. Boushey; David S. Ebert (Computational Imaging, 2011)

Segmentation assisted food classification for dietary assessment. - Fengqing Zhu 001; Marc Bosch; TusaRebecca Schap; Nitin Khanna; David S. Ebert; Carol J. Boushey; Edward J. Delp (Computational Imaging, 2011)

Food texture descriptors based on fractal and local gradient information. - Marc Bosch; Fengqing Zhu 001; Nitin Khanna; Carol J. Boushey; Edward J. Delp (EUSIPCO, 2011)

Combining global and local features for food identification in dietary assessment. - Marc Bosch; Fengqing Zhu 001; Nitin Khanna; Carol J. Boushey; Edward J. Delp (ICIP, 2011)

Integrated database system for mobile dietary assessment and analysis. - Marc Bosch; TusaRebecca Schap; Fengqing Zhu 001; Nitin Khanna; Carol J. Boushey; Edward J. Delp (ICME, 2011)

Multilevel segmentation for food classification in dietary assessment. - Fengqing Zhu 001; Marc Bosch; Nitin Khanna; Carol J. Boushey; Edward J. Delp (ISPA, 2011)

Segmentation-Based Video Compression Using Texture and Motion Models. - Marc Bosch; Fengqing Zhu 001; Edward J. Delp (IEEE J. Sel. Top. Signal Process., 2011)

Image enhancement and quality measures for dietary assessment using mobile devices. - Chang Xu 006; Fengqing Zhu 001; Nitin Khanna; Carol J. Boushey; Edward J. Delp (Computational Imaging, 2012)

Mobile image based color correction using deblurring. - Yu Wang 034; Chang Xu 006; Carol J. Boushey; Fengqing Zhu 001; Edward J. Delp (Computational Imaging, 2015)

A Printer Indexing System for Color Calibration with Applications in Dietary Assessment. - Shaobo Fang; Chang Liu 004; Fengqing Zhu 001; Carol J. Boushey; Edward J. Delp (ICIAP Workshops, 2015)

The Use of Temporal Information in Food Image Analysis. - Yu Wang 034; Ye He 001; Fengqing Zhu 001; Carol J. Boushey; Edward J. Delp (ICIAP Workshops, 2015)

Single-View Food Portion Estimation Based on Geometric Models. - Shaobo Fang; Chang Liu 004; Fengqing Zhu 001; Edward J. Delp; Carol J. Boushey (ISM, 2015)

Multiple Hypotheses Image Segmentation and Classification With Application to Dietary Assessment. - Fengqing Zhu 001; Marc Bosch; Nitin Khanna; Carol J. Boushey; Edward J. Delp (IEEE J. Biomed. Health Informatics, 2015)

Food image analysis: The big data problem you can eat! - Yu Wang 034; Shaobo Fang; Chang Liu 004; Fengqing Zhu 001; Deborah A. Kerr; Carol J. Boushey; Edward J. Delp (ACSSC, 2016)

Touch Event Recognition For Human Interaction. - Qingshuang Chen; He Li 002; Rana Abu-Zhaya; Amanda Seidl; Fengqing Zhu 001; Edward J. Delp (IMAWM, 2016)

A comparison of food portion size estimation using geometric models and depth images. - Shaobo Fang; Fengqing Zhu 001; Chufan Jiang; Song Zhang 002; Carol J. Boushey; Edward J. Delp (ICIP, 2016)

Efficient superpixel based segmentation for food image analysis. - Yu Wang 034; Chang Liu 004; Fengqing Zhu 001; Carol J. Boushey; Edward J. Delp (ICIP, 2016)

A Mobile Food Record For Integrated Dietary Assessment. - Ziad Ahmad; Marc Bosch; Nitin Khanna; Deborah A. Kerr; Carol J. Boushey; Fengqing Zhu 001; Edward J. Delp (MADiMa @ ACM Multimedia, 2016)

Pill Recognition Using Minimal Labeled Data. - Yu Wang 034; Javier Ribera; Chang Liu 004; Sri Yarlagadda; Fengqing Zhu 001 (BigMM, 2017)

Non-Parametric Texture Synthesis Using Texture Classification. - Kyle Ziga; Judy Bagchi; Jan P. Allebach; Fengqing Zhu 001 (Computational Imaging, 2017)

Robust Person Recognition using CNN. - Ming Chen; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (IMAWM, 2017)

Texture re-rendering tool for re-mixing indoor scene images. - Tongyang Liu; Chun-Jung Tai; Fengqing Zhu 001; Judy Bagchi; Jan P. Allebach (IMAWM, 2017)

Interactive Segmentation For Indoor Scenes. - Chun-Jung Tai; Tongyang Liu; Judy Bagchi; Fengqing Zhu 001; Jan P. Allebach (IMAWM, 2017)

The use of co-occurrence patterns in single image based food portion estimation. - Shaobo Fang; Fengqing Zhu 001; Carol J. Boushey; Edward J. Delp (GlobalSIP, 2017)

Weakly supervised food image segmentation using class activation maps. - Yu Wang 034; Fengqing Zhu 001; Carol J. Boushey; Edward J. Delp (ICIP, 2017)

Endmember Dictionary Based Hyperspectral Image Unmixing. - Zhengzhi Gu; Suyu Wang; Fengqing Zhu 001 (GlobalSIP, 2018)

Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks. - Shaobo Fang; Zeman Shao; Runyu Mao; Chichen Fu; Edward J. Delp; Fengqing Zhu 001; Deborah A. Kerr; Carol J. Boushey (ICIP, 2018)

Long Term Hand Tracking with Proposal Selection. - Qingshuang Chen; Fengqing Zhu 001 (ICME Workshops, 2018)

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier. - Sri Kalyan Yarlagadda; David Güera; Paolo Bestagini; Fengqing Maggie Zhu; Stefano Tubaro; Edward J. Delp (Media Watermarking, Security, and Forensics, 2018)

cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation. - Shaobo Fang; Chang Liu 004; Khalid Tahboub; Fengqing Zhu 001; Edward J. Delp; Carol J. Boushey (SSIAI, 2018)

A Reflectance Based Method For Shadow Detection and Removal. - Sri Kalyan Yarlagadda; Fengqing Zhu 001 (SSIAI, 2018)

Multi-Reference Video Coding Using Stillness Detection. - Di Chen; Zoe Liu; Yaowu Xu; Fengqing Zhu 001; Edward J. Delp (Visual Information Processing and Communication, 2018)

Texture Segmentation Based Video Compression Using Convolutional Neural Networks. - Chichen Fu; Di Chen; Edward J. Delp; Zoe Liu; Fengqing Zhu 001 (Visual Information Processing and Communication, 2018)

Reliability Map Estimation for CNN-Based Camera Model Attribution. - David Guera; Fengqing Zhu 001; Sri Kalyan Yarlagadda; Stefano Tubaro; Paolo Bestagini; Edward J. Delp (WACV, 2018)

Context based image analysis with application in dietary assessment and evaluation. - Yu Wang 034; Ye He 001; Carol J. Boushey; Fengqing Zhu 001; Edward J. Delp (Multim. Tools Appl., 2018)

Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation. - Zeman Shao; Runyu Mao; Fengqing Zhu 001 (IEEE BigData, 2019)

Anomaly-Based Manipulation Detection in Satellite Images. - János Horváth; David Guera; Sri Kalyan Yarlagadda; Paolo Bestagini; Fengqing Maggie Zhu; Stefano Tubaro; Edward J. Delp (CVPR Workshops, 2019)

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

Pixel-level Texture Segmentation Based AV1 Video Compression. - Di Chen; Qingshuang Chen; Fengqing Zhu 001 (ICASSP, 2019)

Shadow Removal Detection and Localization for Forensics Analysis. - Sri Kalyan Yarlagadda; David Güera; Daniel Mas Montserrat; Fengqing Maggie Zhu; Edward J. Delp; Paolo Bestagini; Stefano Tubaro (ICASSP, 2019)

Splicing Detection and Localization In Satellite Imagery Using Conditional GANs. - Emily R. Bartusiak; Sri Kalyan Yarlagadda; David Guera; Paolo Bestagini; Stefano Tubaro; Fengqing Zhu 001; Edward J. Delp (MIPR, 2019)

CNN Based Touch Interaction Detection for Infant Speech Development. - Qingshuang Chen; Rana Abu-Zhaya; Amanda Seidl; Fengqing Zhu 001 (MIPR, 2019)

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

Deepfakes Detection with Automatic Face Weighting. - Daniel Mas Montserrat; Hanxiang Hao; Sri Kalyan Yarlagadda; Sriram Baireddy; Ruiting Shao; János Horváth; Emily R. Bartusiak; Justin Yang; David Güera; Fengqing Zhu 001; Edward J. Delp (CVPR Workshops, 2020)

Learning Eating Environments Through Scene Clustering. - Sri Kalyan Yarlagadda; Sriram Baireddy; David Güera; Carol J. Boushey; Deborah A. Kerr; Fengqing Zhu 001 (ICASSP, 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)

Video Tracking to Monitor Turkey Welfare. - Shengtai Ju; Marisa A. Erasmus; Amy R. Reibman; Fengqing Zhu 001 (SSIAI, 2020)

Animal Localization in Camera-Trap Images with Complex Backgrounds. - Praneet Singh; Stacy M. Lindshield; Fengqing Zhu 001; Amy R. Reibman (SSIAI, 2020)

Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. - Daniel Mas Montserrat; János Horváth; Sri Kalyan Yarlagadda; Fengqing Zhu 001; Edward J. Delp (WIFS, 2020)

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning. - Ming Lu; Tong Chen 004; Dandan Ding; Fengqing Zhu 001; Zhan Ma (CoRR, 2020)

Improving Food Detection For Images From a Wearable Egocentric Camera. - Yue Han; Sri Kalyan Yarlagadda; Tonmoy Ghosh; Fengqing Zhu 001; Edward Sazonov; Edward J. Delp (IMAWM, 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 001 (IMAWM, 2021)

Turkey Behavior Identification System with a GUI Using Deep Learning and Video Analytics. - Shengtai Ju; Sneha Mahapatra; Marisa A. Erasmus; Amy R. Reibman; Fengqing Zhu 001 (IMAWM, 2021)

Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection. - Runyu Mao; Mackenzie J. Tweardy; Stephan W. Wegerich; Craig J. Goergen; George R. Wodicka; Fengqing Zhu 001 (EMBC, 2021)

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

Turkey Behavior Identification Using Video Analytics And Object Tracking. - Shengtai Ju; Marisa A. Erasmus; Fengqing Zhu 001; Amy R. Reibman (ICIP, 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)

Saliency-Aware Class-Agnostic Food Image Segmentation. - Sri Kalyan Yarlagadda; Daniel Mas Montserrat; David Güera; Carol J. Boushey; Deborah A. Kerr; Fengqing Zhu 001 (ACM Trans. Comput. Heal., 2021)

Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies. - Dandan Ding; Zhan Ma; Di Chen; Qingshuang Chen; Zoe Liu; Fengqing Zhu 001 (Proc. IEEE, 2021)

A progressive CNN in-loop filtering approach for inter frame coding. - Dandan Ding; Lingyi Kong; Wenyu Wang; Fengqing Zhu 001 (Signal Process. Image Commun., 2021)

Deepfake Detection Using Multiple Data Modalities. - Hanxiang Hao; Emily R. Bartusiak; David Güera; Daniel Mas Montserrat; Sriram Baireddy; Ziyue Xiang; Sri Kalyan Yarlagadda; Ruiting Shao; János Horváth; Justin Yang; Fengqing Zhu 001; Edward J. Delp (Handbook of Digital Face Manipulation and Detection, 2022)

Out-Of-Distribution Detection In Unsupervised Continual Learning. - Jiangpeng He; Fengqing Zhu 001 (CVPR Workshops, 2022)

3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching. - Runyu Mao; Chen Bai; Yatong An; Fengqing Zhu 001; Cheng Lu (ECCV (28), 2022)

VR facial expression tracking via action unit intensity regression model. - Xiaoyu Ji 004; Justin Yang; Jishang Wei; Yvonne Huang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 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)

Efficient real-time portrait video segmentation with temporal guidance. - Weichen Xu 002; Yezhi Shen; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2022)

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

Image Based Food Energy Estimation With Depth Domain Adaptation. - Gautham Vinod; Zeman Shao; Fengqing Zhu 001 (MIPR, 2022)

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

Opening the Black Box of Learned Image Coders. - Zhihao Duan; Ming Lu; Zhan Ma; Fengqing Zhu 001 (PCS, 2022)

Efficient Feature Compression for Edge-Cloud Systems. - Zhihao Duan; Fengqing Zhu 001 (PCS, 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)

Depth assisted portrait video background blurring. - Yezhi Shen; Weichen Xu 002; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2023)

Exploiting Temporal Information in Real-time Portrait Video Segmentation. - Weichen Xu 002; Yezhi Shen; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (HCMA@MM, 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)

Efficient Joint Video Denoising and Super-Resolution. - Yuning Huang; Tianqi Wang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICIP, 2023)

Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems. - Md Adnan Faisal Hossain; Zhihao Duan; Yuning Huang; Fengqing Zhu 001 (ICME Workshops, 2023)

NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising. - Yuning Huang; Zhihao Duan; Fengqing Zhu 001 (ICME Workshops, 2023)

Classifier Guided Domain Adaptation for VR Facial Expression Tracking. - Xiaoyu Ji 004; Justin Yang; Jishang Wei; Yvonne Huang; Shibo Zhang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICME Workshops, 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)

Real-Time End-to-End Portrait and In-Hand Object Segmentation with Background Fusion. - Yezhi Shen; Weichen Xu 002; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICME Workshops, 2023)

VR Facial Expression Tracking Using Locally Linear Embedding. - Justin Yang; Xiaoyu Ji 004; Jishang Wei; Yvonne Huang; Shibo Zhang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICME Workshops, 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)

Lossy Image Compression with Quantized Hierarchical VAEs. - Zhihao Duan; Ming Lu; Zhan Ma; Fengqing Zhu 001 (WACV, 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)

Unified Architecture Adaptation for Compressed Domain Semantic Inference. - Zhihao Duan; Zhan Ma; Fengqing Zhu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Deep Hierarchical Video Compression. - Ming Lu; Zhihao Duan; Fengqing Zhu 001; Zhan Ma (AAAI, 2024)

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding. - Yichi Zhang; Zhihao Duan; Ming Lu; Dandan Ding; Fengqing Zhu 001; Zhan Ma (AAAI, 2024)

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

GRIB: Combining Global Reception and Inductive Bias For Human Segmentation and Matting. - Yezhi Shen; Weichen Xu 002; Qian Lin 001; Jan P. Allebach; 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)

Structured Pruning and Quantization for Learned Image Compression. - Md Adnan Faisal Hossain; Fengqing Zhu 001 (ICIP, 2024)

On Efficient Neural Network Architectures for Image Compression. - Yichi Zhang; Zhihao Duan; Fengqing Zhu 001 (ICIP, 2024)

Flexible Mixed Precision Quantization for Learne Image Compression. - Md Adnan Faisal Hossain; Zhihao Duan; Fengqing Zhu 001 (ICME, 2024)

Theoretical Bound-Guided Hierarchical Vae For Neural Image Codecs. - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu 001 (ICME, 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)

Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control. - Xiaoyu Ji 004; Jan P. Allebach; Ali Shakouri; Fengqing Zhu 001 (MMSP, 2024)

Compression of Self-Supervised Representations for Machine Vision. - Zhihao Duan; Fengqing Maggie Zhu (MMSP, 2024)

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

Pose Guided Portrait View Interpolation from Dual Cameras with a Long Baseline. - Weichen Xu 002; Yezhi Shen; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (MMSP, 2024)

Message from the MMSP 2024 General and Technical Program Chairs. - Fengqing Maggie Zhu; Zhu Li; Nikolaos Thomos; Balu Adsumilli; Enrico Magli (MMSP, 2024)

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

A Visual Quality Assessment Method for Raster Images in Scanned Document. - Justin Yang; Peter Bauer; Todd J. Harris; Changhyung Lee; Hyeon Seok Seo; Jan P. Allebach; Fengqing Zhu 001 (SSIAI, 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)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning. - Ming Lu; Zhihao Duan; Wuyang Cong; Dandan Ding; Fengqing Zhu 001; Zhan Ma (CoRR, 2024)

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression. - Zhihao Duan; Ming Lu; Jack Ma; Yuning Huang; Zhan Ma; Fengqing Zhu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Extra-Lightweight AI-Based Privacy Preserving Framework for Egocentric Wearable Cameras. - Long Li; Fengqing Zhu 001; Heather A. Eicher-Miller; J. Graham Thomas; Yuning Huang; Edward Sazonov (CVPR Workshops, 2025)

PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization. - Yezhi Shen; Qiuchen Zhai; Fengqing Zhu 001 (CVPR Workshops, 2025)

Balanced Rate-Distortion Optimization in Learned Image Compression. - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu 001 (CVPR, 2025)

Accelerating Learned Image Compression Through Modeling Neural Training Dynamics. - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu 001 (Trans. Mach. Learn. Res., 2025)

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

Flexible Mixed Precision Quantization for Learned Image Compression. - Md Adnan Faisal Hossain; Zhihao Duan; Fengqing Zhu 001 (CoRR, 2025)

ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes. - Chenhao Zhang; Yezhi Shen; 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)

Confidence-aware agglomeration classification and segmentation of 2D microscopic food crystal images. - Xiaoyu Ji 004; Ali Shakouri; Fengqing Zhu 001 (CoRR, 2025)

EntropyGS: An Efficient Entropy Coding on 3D Gaussian Splatting. - Yuning Huang; Jiahao Pang; Fengqing Zhu 001; Dong Tian (CoRR, 2025)