An end-to-end food portion estimation framework based on shape reconstruction from monocular image Z Shao, G Vinod, J He, F Zhu 2023 IEEE International Conference on Multimedia and Expo (ICME), 942-947, 2023 | 14 | 2023 |
Image based food energy estimation with depth domain adaptation G Vinod, Z Shao, F Zhu 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 | 10 | 2022 |
Co-simulation of the unreal engine and matlab/simulink for automated grain offoading C Jiang, S Dhamankar, Z Liu, G Vinod, G Shaver, J Evans, C Puryk, ... IFAC-PapersOnLine 55 (24), 379-384, 2022 | 10 | 2022 |
Food portion estimation via 3d object scaling G Vinod, J He, Z Shao, F Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values Y Chen, J He, C Czarnecki, G Vinod, TI Mahmud, S Raghavan, J Ma, ... arXiv preprint arXiv:2409.01966, 2024 | 1 | 2024 |
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results J He, Y Chen, G Vinod, TI Mahmud, F Zhu, E Delp, A Wong, P Xi, ... arXiv preprint arXiv:2407.09285, 2024 | 1 | 2024 |
Cooperative Perception in Multi-agent Systems G Vinod Purdue University, 2021 | 1 | 2021 |
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds J Ma, X Zhang, G Vinod, S Raghavan, J He, F Zhu arXiv preprint arXiv:2411.10492, 2024 | | 2024 |
NutritionVerse-3D-2.0: A High-resolution 3D Food Dataset for Nutrition Estimation KJ Czarnecki, G Vinod, TI Mahmud, AT Chi-en, Y Chen, J He, FM Zhu, ... Journal of Computational Vision and Imaging Systems 9 (1), 45-49, 2023 | | 2023 |
MetaFood3D: 3D Food Dataset with Nutrition Values Y Chen, J He, C Czarnecki, G Vinod, TI Mahmud, S Raghavan, J Ma, ... | | |