Workshop Program (Final)

October 29th, 2023

On-site venue: New Brunswick

13:30 17:00 MADiMa 2023 Workshop
13:30 13:35 MADiMa 2023 opening and welcome
13:35 14:15 Invited Speaker I: Towards Pixel-level Self-supervised Learning
14:15 15:00 Oral Paper Session 1
14:15 14:30 Estimating Amount of Food in a Circular Dining Bowl from a Single Image
Wenyan Jia, Boyang Li, Yaguang Zheng, Zhi-Hong Mao and Mingui Sun
14:30 14:45 NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches [presentation]
Chi-en Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather Keller, Sharon Kirkpatrick and Alexander Wong
14:45 15:00 A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation[presentation]
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato and Stavroula Mougiakakou
15:00 15:15 Coffee Break
15:15 15:55 Invited Speaker II: Computer Vision Assisted Dietary Assessment Through Mobile Phones in female youth 18-24y in urban Ghana: Validity Against Weighed Records and Comparison With 24- Hour Recall
15:55 16:25 Oral Paper Session 2
15:55 16:10 Memory-Efficient High-Accuracy Food Intake Activity Recognition with 3D mmWave Radars [presentation]
Hsin-Che Chiang, Yi-Hung Wu, Shervin Shirmohammadi and Cheng-Hsin Hsu
16:10 16:25 Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan and Petia Radeva
16:25 16:30 End of MADiMa 2023
16:30 17:00 Poster Session
Estimating Amount of Food in a Circular Dining Bowl from a Single Image
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation
Memory-Efficient High-Accuracy Food Intake Activity Recognition with 3D mmWave Radars
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
Diffusion Model with Clustering-based Conditioning for Food Image Generation
An Improved Encoder-Decoder Framework for Food Energy Estimation
HowToEat: Exploring Human Object Interaction and Eating Action in Eating Scenarios
Muti-Stage Hierarchical Food Classification