Accepted Full Papers 

Orals

1. #8. Dual-Imbalance Continual Learning for Real-World Food Recognition
   Xiaoyan Zhang (University of Michigan); Jiangpeng He (Indiana University)

2. #10. EgoCal: Combining Egocentric Data with Vision-Language Fusion for Real-time Dietary Tracking
   Gautham Vinod (Purdue University); Siddeshwar Raghavan (Purdue University); Bruce Coburn (Purdue University); Wei-Lun Chu (Purdue University); Jinge Ma (Purdue University); Fengqing Zhu (Purdue University)

Posters

1. #4. MozzaVID: Mozzarella Volumetric Image Dataset
   Pawel Tomasz Pieta (Technical University of Denmark); Peter Winkel Rasmussen (Technical University of Denmark); Anders Dahl (Technical University of Denmark); Jeppe Revall Frisvad (Technical University of Denmark); Siavash Arjomand Bigdeli (Technical University of Denmark); Carsten Gundlach (Technical University of Denmark); Anders Nymark Christensen (Technical University of Denmark)

2. #5. MIAN-VTE: A Large-Scale Benchmark and Multi-Stream Vision Transformer Architecture for Fine-Grained Date Variety Classification
   Khaled Waleed Dawoud (Mohamed bin Zayed University of Artificial Intelligence); Muhammad Haris Khan (Mohamed bin Zayed University of Artificial Intelligence)

3. #6. HSIFoodInspection: A Comprehensive Hyperspectral Dataset for Industrial Food Anomaly Detection
   Chi Zhang (ELROILAB); Jungkwon Kim (ELROILAB); Jihun Kim (ELROILAB); Jeonghyeon Park (ELROILAB); Kwangsun Yoo (ELROILAB); Seok-Joo Byun (ELROILAB)

4. #7. Evaluating the Feasibility of Inferring Dietary Behavior Change Receptivity from Egocentric Images of Eating Environment
   Yuning Huang (Purdue University); Long Li (The University of Alabama); Heather A. Eicher-Miller (Purdue University); J. Graham Thomas (Brown University); Fengqing Zhu (Purdue University); Edward Sazonov (The University of Alabama)

5. #9. VolETA++: A Fully Automatic Depth-Free Radiance-Field Framework for Food 3D Reconstruction and Volume Estimation
   Ahmad AlMughrabi (Universitat de Barcelona); Ricardo Marques (Universitat Pompeu Fabra); Petia Radeva (Universitat de Barcelona)

6. #12. Training-Free Cultural Generalization in Food Recognition via Knowledge-Grounded Prompt Expansion
   Janos Horvath (Visionary Tech & Event Solution)

7. #13. MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection
   Chaitanya Kumar Reddy Pallerla (University of Arkansas - Fayetteville); Siavash Mahmoudi (University of Arkansas - Fayetteville); Dongyi Wang (University of Arkansas - Fayetteville)

8. #18. Nutrition Estimation from Egocentric Cooking Videos
   Chengkun Yue (Indiana University); Chuanzhi Xu (University of Sydney); Jiangpeng He (Indiana University)

9. #21. An Agentic Vision–Language Pipeline for Interactive Nutritional Estimation from Food Images
   Gayatri Milind Bhatambarekar (Virginia Tech Transportation Institute); Abhijit Sarkar (Virginia Polytechnic Institute and State University)

10. #22. Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture Simulation
    Adrian Ramlal (University of Waterloo); Yuhao Chen (University of Waterloo); John S. Zelek (University of Waterloo)

11. #23. Food Type and State Recognition with VLMs Using Different Prompting Strategies
    Yicheng Shi (Purdue University); Saeed S. Alahmari (Purdue University); Tawfiq Salem (Purdue University)

12. #25. DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images
    Gautham Vinod (Purdue University); Siddeshwar Raghavan (Purdue University); Bruce Coburn (Purdue University); Fengqing Zhu (Purdue University)

13. #26. Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception
    Gautham Vinod (Purdue University); Bruce Coburn (Purdue University); Siddeshwar Raghavan (Purdue University); Fengqing Zhu (Purdue University)

14. #27. FoodSense: A Multisensory Food Dataset and Benchmark for Predicting Taste, Smell, Texture, and Sound from Images
    Sabab Ishraq (University of Central Florida); Aarushi Aarushi (University of Central Florida); Juncai Jiang (University of Central Florida); Chen Chen (University of Central Florida)

15. #28. KitchenTwin: Semantically and Geometrically Grounded 3D Kitchen Digital Twins
    Quanyun Wu (University of Waterloo); Kyle Gao (University of Waterloo); Daniel Long (University of Waterloo); David Anthony Clausi (University of Waterloo); Jonathan Li (University of Waterloo); Yuhao Chen (University of Waterloo)

16. #29. Edge-Aware Self-Attention in Vision Transformers for Food Image Segmentation
    Chenfan Wang (University of Macau); Quan Sun (Independent); Tianwei Hao (University of Macau)

17. #31. GroceryWild500: Benchmarking Novel View Synthesis in Realistic Grocery Store Scenes
    Shreyas Muragodmath (University of Wyoming); Michael Elgin (University of Wyoming); Shivanand Venkanna Sheshappanavar (University of Wyoming)

Accepted Extended Abstracts

1. #3. Robust Food Recognition in the Wild via Self-Supervised Multi-Modal Learning

2. #11. BASS: Risk-Aware Scene Subset Selection for Reliable Large-Scale NeRF Benchmarking

3. #17. Evaluating the Gemini 2.5 Flash Model for Use in Dietary Monitoring

4. #19. Zero-Shot Object Re-Identification in Egocentric Kitchen Videos via Multi-Stage SAM3 Feature Fusion

5. #20. ContiFood-961: A Fine-Grained Long-Tailed Food Benchmark for Classification