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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) - [c114]Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma:
Deep Hierarchical Video Compression. AAAI 2024: 8859-8867 - [c113]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 - [c112]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 - [c111]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 - [c110]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CVPR Workshops 2024: 3695-3704 - [c109]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CVPR Workshops 2024: 3741-3749 - [c108]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CVPR Workshops 2024: 4054-4064 - [c107]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 - [c106]Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu:
Towards Backward-Compatible Continual Learning of Image Compression. CVPR 2024: 25564-25573 - [c105]Md Adnan Faisal Hossain, Zhihao Duan, Fengqing Zhu:
Flexible Mixed Precision Quantization for Learne Image Compression. ICME 2024: 1-8 - [c104]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical Vae For Neural Image Codecs. ICME 2024: 1-6 - [c103]Xiaoyu Ji, Jan P. Allebach, Ali Shakouri, Fengqing Zhu:
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control. MMSP 2024: 1-6 - [c102]Zhihao Duan, Fengqing Maggie Zhu:
Compression of Self-Supervised Representations for Machine Vision. MMSP 2024: 1-6 - [c101]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
FMiFood: Multi-Modal Contrastive Learning for Food Image Classification. MMSP 2024: 1-6 - [c100]Weichen Xu, Yezhi Shen, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Pose Guided Portrait View Interpolation from Dual Cameras with a Long Baseline. MMSP 2024: 1-6 - [c99]Fengqing Maggie Zhu, Zhu Li, Nikolaos Thomos, Balu Adsumilli, Enrico Magli:
Message from the MMSP 2024 General and Technical Program Chairs. MMSP 2024: 1-2 - [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 - [i56]Jiangpeng He, Fengqing Zhu:
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. CoRR abs/2402.18528 (2024) - [i55]Justin Yang, Zhihao Duan, Andrew Peng, Yuning Huang, Jiangpeng He, Fengqing Zhu:
Probing Image Compression For Class-Incremental Learning. CoRR abs/2403.06288 (2024) - [i54]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) - [i53]Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu:
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs. CoRR abs/2403.18535 (2024) - [i52]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CoRR abs/2404.04476 (2024) - [i51]Justin Yang, Zhihao Duan, Jiangpeng He, Fengqing Zhu:
Learning to Classify New Foods Incrementally Via Compressed Exemplars. CoRR abs/2404.07507 (2024) - [i50]Gautham Vinod, Jiangpeng He, Zeman Shao, Fengqing Zhu:
Food Portion Estimation via 3D Object Scaling. CoRR abs/2404.12257 (2024) - [i49]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) - [i48]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) - [i47]Xinyue Pan, Jiangpeng He, Fengqing Zhu:
FMiFood: Multi-modal Contrastive Learning for Food Image Classification. CoRR abs/2408.03922 (2024) - [i46]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) - [i45]Xiaoyu Ji, Jan P. Allebach, Ali Shakouri, Fengqing Zhu:
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control. CoRR abs/2409.18291 (2024) - [i44]Ming Lu, Zhihao Duan, Wuyang Cong, Dandan Ding, Fengqing Zhu, Zhan Ma:
High-Efficiency Neural Video Compression via Hierarchical Predictive Learning. CoRR abs/2410.02598 (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]