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ORCIDFengqing Zhu 0001
Fengqing Maggie Zhu
Person information
- affiliation: Purdue University, Elmore Family School of Electrical and Computer Engineering, West Lafayette, IN, USA
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2020 – today
- 2024
[j9]Zhihao Duan
, Ming Lu, Jack Ma, Yuning Huang, Zhan Ma, Fengqing Zhu:
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 436-450 (2024)- [c98]Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma:
Deep Hierarchical Video Compression. AAAI 2024: 8859-8867 - [c97]Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma:
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding. AAAI 2024: 9377-9386 - [c96]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Image Classification. WACV 2024: 8180-8189 - [i47]Jiangpeng He, Fengqing Zhu:
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. CoRR abs/2402.18528 (2024) - [i46]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression For Class-Incremental Learning. CoRR abs/2403.06288 (2024) - [i45]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) - [i44]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs. CoRR abs/2403.18535 (2024) - 2023
- [j8]Zhihao Duan, Zhan Ma, Fengqing Zhu:
Unified Architecture Adaptation for Compressed Domain Semantic Inference. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4108-4121 (2023) - [c95]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Personalized Food Image Classification: Benchmark Datasets and New Baseline. ACSSC 2023: 1095-1099 - [c94]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 - [c93]Andrew Peng, Jiangpeng He, Fengqing Zhu:
Self-supervised visual representation learning on food images. Imaging and Multimedia Analytics at the Edge 2023: 1-6 - [c92]Yezhi Shen, Weichen Xu, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Depth assisted portrait video background blurring. Imaging and Multimedia Analytics at the Edge 2023: 1-6 - [c91]Weichen Xu, Yezhi Shen, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Exploiting Temporal Information in Real-time Portrait Video Segmentation. HCMA@MM 2023: 33-39 - [c90]Zhihao Duan, Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Upper Bound on the Rate-Distortion Function of Images. ICIP 2023: 246-250 - [c89]Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. ICIP 2023: 1115-1119 - [c88]Yuning Huang, Tianqi Wang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Efficient Joint Video Denoising and Super-Resolution. ICIP 2023: 1865-1869 - [c87]Md Adnan Faisal Hossain, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems. ICME Workshops 2023: 182-187 - [c86]Yuning Huang, Zhihao Duan, Fengqing Zhu:
NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising. ICME Workshops 2023: 188-193 - [c85]Xiaoyu Ji, Justin Yang, Jishang Wei, Yvonne Huang, Shibo Zhang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Classifier Guided Domain Adaptation for VR Facial Expression Tracking. ICME Workshops 2023: 230-235 - [c84]Justin Yang, Xiaoyu Ji, Jishang Wei, Yvonne Huang, Shibo Zhang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
VR Facial Expression Tracking Using Locally Linear Embedding. ICME Workshops 2023: 236-241 - [c83]Yezhi Shen, Weichen Xu, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Real-Time End-to-End Portrait and In-Hand Object Segmentation with Background Fusion. ICME Workshops 2023: 242-247 - [c82]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 - [c81]Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Encoder-Decoder Framework for Food Energy Estimation. MADiMa@MM 2023: 53-59 - [c80]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 - [c79]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Muti-Stage Hierarchical Food Classification. MADiMa@MM 2023: 79-87 - [c78]Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu:
Lossy Image Compression with Quantized Hierarchical VAEs. WACV 2023: 198-207 - [i43]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Classification. CoRR abs/2301.05246 (2023) - [i42]Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh, Fengqing Zhu, Edward Sazonov, Edward J. Delp:
Improving Food Detection For Images From a Wearable Egocentric Camera. CoRR abs/2301.07861 (2023) - [i41]Wenjin Fu, Yue Han, Jiangpeng He, Sriram Baireddy, Mridul Gupta, Fengqing Zhu:
Conditional Synthetic Food Image Generation. CoRR abs/2303.09005 (2023) - [i40]Andrew Peng, Jiangpeng He, Fengqing Zhu:
Self-Supervised Visual Representation Learning on Food Images. CoRR abs/2303.09046 (2023) - [i39]Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. CoRR abs/2307.00182 (2023) - [i38]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) - [i37]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) - [i36]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) - [i35]Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Encoder-Decoder Framework for Food Energy Estimation. CoRR abs/2309.00468 (2023) - [i34]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Muti-Stage Hierarchical Food Classification. CoRR abs/2309.01075 (2023) - [i33]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Personalized Food Image Classification: Benchmark Datasets and New Baseline. CoRR abs/2309.08744 (2023) - 2022
- [c77]Jiangpeng He, Fengqing Zhu:
Out-Of-Distribution Detection In Unsupervised Continual Learning. CVPR Workshops 2022: 3849-3854 - [c76]Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu:
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching. ECCV (28) 2022: 125-142 - [c75]Xiaoyu Ji, Justin Yang, Jishang Wei, Yvonne Huang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
VR facial expression tracking via action unit intensity regression model. Imaging and Multimedia Analytics at the Edge 2022: 1-7 - [c74]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 - [c73]Weichen Xu, Yezhi Shen, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Efficient real-time portrait video segmentation with temporal guidance. Imaging and Multimedia Analytics at the Edge 2022: 1-7 - [c72]Jiangpeng He, Fengqing Zhu:
Exemplar-Free Online Continual Learning. ICIP 2022: 541-545 - [c71]Gautham Vinod, Zeman Shao, Fengqing Zhu:
Image Based Food Energy Estimation With Depth Domain Adaptation. MIPR 2022: 262-267 - [c70]Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu:
Simulating Personal Food Consumption Patterns using a Modified Markov Chain. MADiMa @ ACM Multimedia 2022: 61-69 - [c69]Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu:
Opening the Black Box of Learned Image Coders. PCS 2022: 73-77 - [c68]Zhihao Duan, Fengqing Zhu:
Efficient Feature Compression for Edge-Cloud Systems. PCS 2022: 187-191 - [c67]Jiangpeng He, Fengqing Zhu:
Online Continual Learning Via Candidates Voting. WACV 2022: 1292-1301 - [p1]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, Edward J. Delp:
Deepfake Detection Using Multiple Data Modalities. Handbook of Digital Face Manipulation and Detection 2022: 235-254 - [i32]Jiangpeng He, Fengqing Zhu:
Exemplar-free Online Continual Learning. CoRR abs/2202.05491 (2022) - [i31]Jiangpeng He, Fengqing Zhu:
Out-Of-Distribution Detection In Unsupervised Continual Learning. CoRR abs/2204.05462 (2022) - [i30]Emily R. Bartusiak, Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Stefano Tubaro, Fengqing Maggie Zhu, Edward J. Delp:
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs. CoRR abs/2205.01805 (2022) - [i29]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) - [i28]Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu:
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching. CoRR abs/2207.02375 (2022) - [i27]Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu:
Simulating Personal Food Consumption Patterns using a Modified Markov Chain. CoRR abs/2208.06709 (2022) - [i26]Gautham Vinod, Zeman Shao, Fengqing Zhu:
Image Based Food Energy Estimation With Depth Domain Adaptation. CoRR abs/2208.12153 (2022) - [i25]Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu:
Lossy Image Compression with Quantized Hierarchical VAEs. CoRR abs/2208.13056 (2022) - [i24]Jiangpeng He, Luotao Lin, Heather A. Eicher-Miller, Fengqing Zhu:
Long-tailed Food Classification. CoRR abs/2210.14748 (2022) - 2021
- [j7]Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Saliency-Aware Class-Agnostic Food Image Segmentation. ACM Trans. Comput. Heal. 2(3): 19:1-19:17 (2021) - [j6]Dandan Ding, Zhan Ma, Di Chen, Qingshuang Chen, Zoe Liu, Fengqing Zhu:
Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies. Proc. IEEE 109(9): 1494-1520 (2021) - [j5]Dandan Ding, Lingyi Kong, Wenyu Wang, Fengqing Zhu:
A progressive CNN in-loop filtering approach for inter frame coding. Signal Process. Image Commun. 94: 116201 (2021) - [c66]Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh, Fengqing Zhu, Edward Sazonov, Edward J. Delp:
Improving Food Detection For Images From a Wearable Egocentric Camera. IMAWM 2021: 1-7 - [c65]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 - [c64]Shengtai Ju, Sneha Mahapatra, Marisa A. Erasmus, Amy R. Reibman, Fengqing Zhu:
Turkey Behavior Identification System with a GUI Using Deep Learning and Video Analytics. IMAWM 2021: 1-7 - [c63]Runyu Mao, Mackenzie J. Tweardy, Stephan W. Wegerich, Craig J. Goergen, George R. Wodicka, Fengqing Zhu:
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection. EMBC 2021: 5625-5630 - [c62]Jiangpeng He, Fengqing Zhu:
Online Continual Learning For Visual Food Classification. ICCVW 2021: 2337-2346 - [c61]Shengtai Ju, Marisa A. Erasmus, Fengqing Zhu, Amy R. Reibman:
Turkey Behavior Identification Using Video Analytics And Object Tracking. ICIP 2021: 1219-1223 - [c60]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 - [c59]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 - [c58]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 - [c57]Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning via Pseudo Labels. CSSL 2021: 15-32 - [i23]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) - [i22]Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Saliency-Aware Class-Agnostic Food Image Segmentation. CoRR abs/2102.06882 (2021) - [i21]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) - [i20]Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning Via Pseudo Labels. CoRR abs/2104.07164 (2021) - [i19]Jiangpeng He, Fengqing Zhu:
Online Continual Learning For Visual Food Classification. CoRR abs/2108.06781 (2021) - [i18]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) - [i17]Runyu Mao, Mackenzie J. Tweardy, Stephan W. Wegerich, Craig J. Goergen, George R. Wodicka, Fengqing Zhu:
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection. CoRR abs/2109.02755 (2021) - [i16]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) - [i15]Jiangpeng He, Fengqing Zhu:
Online Continual Learning Via Candidates Voting. CoRR abs/2110.08855 (2021) - 2020
- [c56]Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp:
Deepfakes Detection with Automatic Face Weighting. CVPR Workshops 2020: 2851-2859 - [c55]Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning in Online Scenario. CVPR 2020: 13923-13932 - [c54]Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Learning Eating Environments Through Scene Clustering. ICASSP 2020: 2488-2492 - [c53]Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu:
Visual Aware Hierarchy Based Food Recognition. ICPR Workshops (5) 2020: 571-598 - [c52]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 - [c51]Shengtai Ju, Marisa A. Erasmus, Amy R. Reibman, Fengqing Zhu:
Video Tracking to Monitor Turkey Welfare. SSIAI 2020: 50-53 - [c50]Praneet Singh, Stacy M. Lindshield, Fengqing Zhu, Amy R. Reibman:
Animal Localization in Camera-Trap Images with Complex Backgrounds. SSIAI 2020: 66-69 - [c49]Daniel Mas Montserrat, János Horváth, Sri Kalyan Yarlagadda, Fengqing Zhu, Edward J. Delp:
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. WIFS 2020: 1-6 - [i14]Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning In Online Scenario. CoRR abs/2003.13191 (2020) - [i13]Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Guera, Fengqing Zhu, Edward J. Delp:
Deepfakes Detection with Automatic Face Weighting. CoRR abs/2004.12027 (2020) - [i12]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) - [i11]Daniel Mas Montserrat, János Horváth, Sri Kalyan Yarlagadda, Fengqing Zhu, Edward J. Delp:
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. CoRR abs/2010.03758 (2020) - [i10]Ming Lu, Tong Chen, Dandan Ding, Fengqing Zhu, Zhan Ma:
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning. CoRR abs/2012.00650 (2020) - [i9]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
- [c48]Zeman Shao, Runyu Mao, Fengqing Zhu:
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation. IEEE BigData 2019: 5186-5189 - [c47]János Horváth, David Guera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp:
Anomaly-Based Manipulation Detection in Satellite Images. CVPR Workshops 2019: 62-71 - [c46]Jiangpeng He, Kyle Ziga, Judy Bagchi, Fengqing Zhu:
CNN Based Parameter Optimization for Texture Synthesis. Material Appearance 2019: 1-6 - [c45]Di Chen, Qingshuang Chen, Fengqing Zhu:
Pixel-level Texture Segmentation Based AV1 Video Compression. ICASSP 2019: 1622-1626 - [c44]Sri Kalyan Yarlagadda, David Güera, Daniel Mas Montserrat, Fengqing Maggie Zhu, Edward J. Delp, Paolo Bestagini, Stefano Tubaro:
Shadow Removal Detection and Localization for Forensics Analysis. ICASSP 2019: 2677-2681 - [c43]Qingshuang Chen, Rana Abu-Zhaya, Amanda Seidl, Fengqing Zhu:
CNN Based Touch Interaction Detection for Infant Speech Development. MIPR 2019: 20-25 - [c42]Emily R. Bartusiak, Sri Kalyan Yarlagadda, David Guera, Paolo Bestagini, Stefano Tubaro, Fengqing Zhu, Edward J. Delp:
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs. MIPR 2019: 91-96 - [i8]Zeman Shao, Runyu Mao, Fengqing Zhu:
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation. CoRR abs/1910.05242 (2019) - [i7]Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Learning eating environments through scene clustering. CoRR abs/1910.11367 (2019) - 2018
- [j4]Yu Wang, Ye He, Carol J. Boushey, Fengqing Zhu, Edward J. Delp:
Context based image analysis with application in dietary assessment and evaluation. Multim. Tools Appl. 77(15): 19769-19794 (2018) - [c41]Zhengzhi Gu, Suyu Wang, Fengqing Zhu:
Endmember Dictionary Based Hyperspectral Image Unmixing. GlobalSIP 2018: 993-997 - [c40]Shaobo Fang, Zeman Shao, Runyu Mao, Chichen Fu, Edward J. Delp, Fengqing Zhu, Deborah A. Kerr, Carol J. Boushey:
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks. ICIP 2018: 251-255 - [c39]Qingshuang Chen, Fengqing Zhu:
Long Term Hand Tracking with Proposal Selection. ICME Workshops 2018: 1-6 - [c38]Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp:
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier. Media Watermarking, Security, and Forensics 2018 - [c37]Sri Kalyan Yarlagadda, Fengqing Zhu:
A Reflectance Based Method For Shadow Detection and Removal. SSIAI 2018: 9-12 - [c36]Shaobo Fang, Chang Liu, Khalid Tahboub, Fengqing Zhu, Edward J. Delp, Carol J. Boushey:
cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation. SSIAI 2018: 25-28 - [c35]Di Chen, Zoe Liu, Yaowu Xu, Fengqing Zhu, Edward J. Delp:
Multi-Reference Video Coding Using Stillness Detection. Visual Information Processing and Communication 2018 - [c34]Chichen Fu, Di Chen, Edward J. Delp, Zoe Liu, Fengqing Zhu:
Texture Segmentation Based Video Compression Using Convolutional Neural Networks. Visual Information Processing and Communication 2018 - [c33]David Guera, Fengqing Zhu, Sri Kalyan Yarlagadda, Stefano Tubaro, Paolo Bestagini, Edward J. Delp:
Reliability Map Estimation for CNN-Based Camera Model Attribution. WACV 2018: 964-973 - [e1]Fengqing Maggie Zhu, Amy R. Reibman, Edward J. Delp:
Visual Information Processing and Communication IX, Burlingame, CA, USA, 28 January 2018 - 1 February 2018. Society for Imaging Science and Technology 2018 [contents] - [i6]Chichen Fu, Di Chen, Edward J. Delp, Zoe Liu, Fengqing Zhu:
Texture Segmentation Based Video Compression Using Convolutional Neural Networks. CoRR abs/1802.02992 (2018) - [i5]Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp:
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier. CoRR abs/1802.04881 (2018) - [i4]Shaobo Fang, Zeman Shao, Runyu Mao, Chichen Fu, Deborah A. Kerr, Carol J. Boushey, Edward J. Delp, Fengqing Zhu:
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks. CoRR abs/1802.09670 (2018) - [i3]Di Chen, Zoe Liu, Yaowu Xu, Fengqing Zhu, Edward J. Delp:
Multi-Reference Video Coding Using Stillness Detection. CoRR abs/1803.04061 (2018) - [i2]David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Zhu, Stefano Tubaro, Edward J. Delp:
Reliability Map Estimation For CNN-Based Camera Model Attribution. CoRR abs/1805.01946 (2018) - [i1]Sri Kalyan Yarlagadda, Fengqing Zhu:
A Reflectance Based Method For Shadow Detection and Removal. CoRR abs/1807.04352 (2018) - 2017
- [c32]Yu Wang, Javier Ribera, Chang Liu, Sri Yarlagadda, Fengqing Zhu:
Pill Recognition Using Minimal Labeled Data. BigMM 2017: 346-353 - [c31]Kyle Ziga, Judy Bagchi, Jan P. Allebach, Fengqing Zhu:
Non-Parametric Texture Synthesis Using Texture Classification. Computational Imaging 2017: 136-141 - [c30]Ming Chen, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Robust Person Recognition using CNN. IMAWM 2017: 45-50 - [c29]Chun-Jung Tai, Tongyang Liu, Judy Bagchi, Fengqing Zhu, Jan P. Allebach:
Interactive Segmentation For Indoor Scenes. IMAWM 2017: 51-59 - [c28]Tongyang Liu, Chun-Jung Tai, Fengqing Zhu, Judy Bagchi, Jan P. Allebach:
Texture re-rendering tool for re-mixing indoor scene images. IMAWM 2017: 86-92 - [c27]Shaobo Fang, Fengqing Zhu, Carol J. Boushey, Edward J. Delp:
The use of co-occurrence patterns in single image based food portion estimation. GlobalSIP 2017: 462-466 - [c26]Yu Wang, Fengqing Zhu, Carol J. Boushey, Edward J. Delp:
Weakly supervised food image segmentation using class activation maps. ICIP 2017: 1277-1281 - 2016
- [c25]Yu Wang, Shaobo Fang, Chang Liu, Fengqing Zhu, Deborah A. Kerr, Carol J. Boushey, Edward J. Delp:
Food image analysis: The big data problem you can eat! ACSSC 2016: 1263-1267 - [c24]Qingshuang Chen, He Li, Rana Abu-Zhaya, Amanda Seidl, Fengqing Zhu, Edward J. Delp:
Touch Event Recognition For Human Interaction. IMAWM 2016: 1-6 - [c23]Shaobo Fang, Fengqing Zhu, Chufan Jiang, Song Zhang, Carol J. Boushey, Edward J. Delp:
A comparison of food portion size estimation using geometric models and depth images. ICIP 2016: 26-30 - [c22]Yu Wang, Chang Liu, Fengqing Zhu, Carol J. Boushey, Edward J. Delp:
Efficient superpixel based segmentation for food image analysis. ICIP 2016: 2544-2548 - [c21]Ziad Ahmad, Marc Bosch, Nitin Khanna, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu, Edward J. Delp:
A Mobile Food Record For Integrated Dietary Assessment. MADiMa @ ACM Multimedia 2016: 53-62 - 2015
- [j3]Fengqing Zhu, Marc Bosch, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Multiple Hypotheses Image Segmentation and Classification With Application to Dietary Assessment. IEEE J. Biomed. Health Informatics 19(1): 377-388 (2015) - [c20]Yu Wang, Chang Xu, Carol J. Boushey, Fengqing Zhu, Edward J. Delp:
Mobile image based color correction using deblurring. Computational Imaging 2015: 940107 - [c19]Yu Wang, Ye He, Fengqing Zhu, Carol J. Boushey, Edward J. Delp:
The Use of Temporal Information in Food Image Analysis. ICIAP Workshops 2015: 317-325 - [c18]Shaobo Fang, Chang Liu, Fengqing Zhu, Carol J. Boushey, Edward J. Delp:
A Printer Indexing System for Color Calibration with Applications in Dietary Assessment. ICIAP Workshops 2015: 358-365 - [c17]Shaobo Fang, Chang Liu, Fengqing Zhu, Edward J. Delp, Carol J. Boushey:
Single-View Food Portion Estimation Based on Geometric Models. ISM 2015: 385-390 - 2012
- [c16]Chang Xu, Fengqing Zhu, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Image enhancement and quality measures for dietary assessment using mobile devices. Computational Imaging 2012: 82960Q - 2011
- [j2]Marc Bosch, Fengqing Zhu, Edward J. Delp:
Segmentation-Based Video Compression Using Texture and Motion Models. IEEE J. Sel. Top. Signal Process. 5(7): 1366-1377 (2011) - [c15]Junghoon Chae, Insoo Woo, SungYe Kim, Ross Maciejewski, Fengqing Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert:
Volume estimation using food specific shape templates in mobile image-based dietary assessment. Computational Imaging 2011: 78730K - [c14]Fengqing Zhu, Marc Bosch, TusaRebecca Schap, Nitin Khanna, David S. Ebert, Carol J. Boushey, Edward J. Delp:
Segmentation assisted food classification for dietary assessment. Computational Imaging 2011: 78730B - [c13]Marc Bosch, Fengqing Zhu, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Food texture descriptors based on fractal and local gradient information. EUSIPCO 2011: 764-768 - [c12]Marc Bosch, Fengqing Zhu, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Combining global and local features for food identification in dietary assessment. ICIP 2011: 1789-1792 - [c11]Marc Bosch, TusaRebecca Schap, Fengqing Zhu, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Integrated database system for mobile dietary assessment and analysis. ICME 2011: 1-6 - [c10]Fengqing Zhu, Marc Bosch, Nitin Khanna, Carol J. Boushey, Edward J. Delp:
Multilevel segmentation for food classification in dietary assessment. ISPA 2011: 337-342 - 2010
- [j1]Fengqing Zhu, Marc Bosch, Insoo Woo, SungYe Kim, Carol J. Boushey, David S. Ebert, Edward J. Delp:
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation. IEEE J. Sel. Top. Signal Process. 4(4): 756-766 (2010) - [c9]Fengqing Zhu, Marc Bosch, Carol J. Boushey, Edward J. Delp:
An image analysis system for dietary assessment and evaluation. ICIP 2010: 1853-1856
2000 – 2009
- 2009
- [c8]Anand Mariappan, Marc Bosch, Fengqing Zhu, Carol J. Boushey, Deborah A. Kerr, David S. Ebert, Edward J. Delp:
Personal dietary assessment using mobile devices. Computational Imaging 2009: 72460 - [c7]Marc Bosch, Fengqing Zhu, Edward J. Delp:
Perceptual quality evaluation for texture and motion based video coding. ICIP 2009: 2285-2288 - [c6]Marc Bosch, Fengqing Zhu, Edward J. Delp:
An overviewof texture and motion based video coding at Purdue University. PCS 2009: 1-4 - 2008
- [c5]Fengqing Zhu, Anand Mariappan, Carol J. Boushey, Deborah A. Kerr, Kyle D. Lutes, David S. Ebert, Edward J. Delp:
Technology-assisted dietary assessment. Computational Imaging 2008: 681411 - [c4]Marc Bosch, Fengqing Zhu, Edward J. Delp:
Video coding using motion classification. ICIP 2008: 1588-1591 - 2007
- [c3]Marc Bosch, Fengqing Zhu, Edward J. Delp:
Spatial Texture Models for Video Compression. ICIP (1) 2007: 93-96 - [c2]Limin Liu, Fengqing Zhu, Marc Bosch, Edward J. Delp:
Recent advances in video compression: What's next? ISSPA 2007: 1-8 - [c1]Fengqing Zhu, Ka Ki Ng, Golnaz Abdollahian, Edward J. Delp:
Spatial and temporal models for texture-based video coding. VCIP 2007: 650806
Coauthor Index
Carol J. Boushey
aka: Carol Jo Boushey
aka: Carol Jo Boushey
[c80] [i42] [i36] [p1] [i30] [c66] [c56] [c49] [i13] [i11] [c47] [c44] [c42] [j4] [c40] [c38] [c36] [c35] [c34] [c33] [e1] [i6] [i5] [i4] [i3] [i2] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j3] [c20] [c19] [c18] [c17] [c16] [j2] [c15] [c14] [c13] [c12] [c11] [c10] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
David Guera
aka: David Güera
aka: David Güera
[c96] [i47] [i46] [i45] [c95] [c94] [c93] [c90] [c89] [c82] [c81] [c80] [c79] [i43] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [c77] [c74] [c72] [c70] [c67] [i32] [i31] [i29] [i27] [i24] [c65] [c62] [c60] [c59] [c58] [c57] [i23] [i21] [i20] [i19] [i18] [i16] [i15] [c55] [c53] [c52] [i14] [i12] [i9] [c46]
Sri Yarlagadda
aka: Sri Kalyan Yarlagadda
aka: Sri Kalyan Yarlagadda
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