MetaFood Workshop (MTF)
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2024_CVPR, author = {Huang, Yuning and A Hassan, M and He, Jiangpeng and Higgins, J. and Mccrory, Megan and Eicher-Miller, Heather and Thomas, J. Graham and Sazonov, Edward and Zhu, Fengqing}, title = {Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3685-3694} }
Segment Anything in Food Images-
[pdf]
[bibtex]@InProceedings{Alahmari_2024_CVPR, author = {Alahmari, Saeed S. and Gardner, Michael and Salem, Tawfiq}, title = {Segment Anything in Food Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3715-3720} }
Food Portion Estimation via 3D Object Scaling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vinod_2024_CVPR, author = {Vinod, Gautham and He, Jiangpeng and Shao, Zeman and Zhu, Fengqing}, title = {Food Portion Estimation via 3D Object Scaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3741-3749} }
Shape-Preserving Generation of Food Images for Automatic Dietary Assessment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2024_CVPR, author = {Chen, Guangzong and Mao, Zhi-Hong and Sun, Mingui and Liu, Kangni and Jia, Wenyan}, title = {Shape-Preserving Generation of Food Images for Automatic Dietary Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3721-3731} }
How Much You Ate? Food Portion Estimation on Spoons-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sharma_2024_CVPR, author = {Sharma, Aaryam and Czarnecki, Chris and Chen, Yuhao and Xi, Pengcheng and Xu, Linlin and Wong, Alexander}, title = {How Much You Ate? Food Portion Estimation on Spoons}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3761-3770} }
A Generative Exploration of Cuisine Transfer-
[pdf]
[bibtex]@InProceedings{Shin_2024_CVPR, author = {Shin, Philip Wootaek and Sridhar, Ajay Narayanan and Sampson, Jack and Narayanan, Vijaykrishnan}, title = {A Generative Exploration of Cuisine Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3732-3740} }
MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images-
[pdf]
[bibtex]@InProceedings{Wang_2024_CVPR, author = {Wang, Ke-Lei and Chou, Pin-Hsuan and Chou, Young-Ching and Liu, Chia-Jen and Lin, Cheng-Kuan and Tseng, Yu-Chee}, title = {MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3705-3714} }
Learning to Classify New Foods Incrementally Via Compressed Exemplars-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2024_CVPR, author = {Yang, Justin and Duan, Zhihao and He, Jiangpeng and Zhu, Fengqing}, title = {Learning to Classify New Foods Incrementally Via Compressed Exemplars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3695-3704} }
LOFI: LOng-tailed FIne-Grained Network for Food Recognition-
[pdf]
[bibtex]@InProceedings{Rodriguez-De-Vera_2024_CVPR, author = {Rodr{\'\i}guez-De-Vera, Jes\'us M. and Estepa, Imanol G. and Bola\~nos, Marc and Nagarajan, Bhalaji and Radeva, Petia}, title = {LOFI: LOng-tailed FIne-Grained Network for Food Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3750-3760} }