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ORCIDFengqing Zhu 0001
Fengqing Maggie Zhu
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- affiliation: Purdue University, Elmore Family School of Electrical and Computer Engineering, West Lafayette, IN, USA
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2020 – today
- 2024
[j10]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)- [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) - [c109]Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma:
Deep Hierarchical Video Compression. AAAI 2024: 8859-8867 - [c108]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 - [c107]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 - [c106]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 - [c105]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CVPR Workshops 2024: 3695-3704 - [c104]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CVPR Workshops 2024: 3741-3749 - [c103]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CVPR Workshops 2024: 4054-4064 - [c102]Yezhi Shen, Weichen Xu, Qian Lin, Jan P. Allebach, Fengqing Zhu:
GRIB: Combining Global Reception and Inductive Bias For Human Segmentation and Matting. CVPR Workshops 2024: 5576-5585 - [c101]Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu:
Towards Backward-Compatible Continual Learning of Image Compression. CVPR 2024: 25564-25573 - [c100]Md Adnan Faisal Hossain, Zhihao Duan, Fengqing Zhu:
Flexible Mixed Precision Quantization for Learne Image Compression. ICME 2024: 1-8 - [c99]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical Vae For Neural Image Codecs. ICME 2024: 1-6 - [c98]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression for Class-Incremental Learning. PCS 2024: 1-5 - [c97]Justin Yang, Peter Bauer, Todd J. Harris, Changhyung Lee, Hyeon Seok Seo, Jan P. Allebach, Fengqing Zhu:
A Visual Quality Assessment Method for Raster Images in Scanned Document. SSIAI 2024: 117-120 - [c96]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Image Classification. WACV 2024: 8180-8189 - [i55]Jiangpeng He, Fengqing Zhu:
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. CoRR abs/2402.18528 (2024) - [i54]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression For Class-Incremental Learning. CoRR abs/2403.06288 (2024) - [i53]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) - [i52]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs. CoRR abs/2403.18535 (2024) - [i51]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CoRR abs/2404.04476 (2024) - [i50]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CoRR abs/2404.07507 (2024) - [i49]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CoRR abs/2404.12257 (2024) - [i48]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) - [i47]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) - [i46]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
FMiFood: Multi-modal Contrastive Learning for Food Image Classification. CoRR abs/2408.03922 (2024) - [i45]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) - [i44]Xiaoyu Ji, Jan P. Allebach, Ali Shakouri, Fengqing Zhu:
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control. CoRR abs/2409.18291 (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
[i47] [i45] [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
[j10] [c107] [c106] [c105] [c104] [c103] [c101] [c98] [c96] [i55] [i54] [i53] [i51] [i50] [i49] [i48] [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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