Search papers, labs, and topics across Lattice.
Affiliation:
6
0
8
Accurate void fraction estimation no longer requires flow-disrupting physical probes: multi-view video coupled with spatio-temporal modeling recovers complex multiphase fluid parameters and directly transfers from synthetic CFD to real experimental flows.
Target-aware data selection and VLM-based caption refinement can boost food image retrieval performance by over 19%, revealing the potential of fine-tuning multimodal models with curated data.
Open-KNEAD achieves up to 53% better nutrition estimates than leading closed models, all while keeping user data private and local.
Forget questionnaires – your wearable camera might reveal if you're actually ready to change your eating habits.
Ditch the depth sensors: DietDelta uses before-and-after photos and natural language to pinpoint exactly what you ate, item by item.
A new benchmark reveals how existing audio-visual segmentation models crumble when faced with the dynamic, ever-changing audio and visual environments of the real world.
