17 citations · 23 across the 5 of their papers we have counts for
5 papers
LLM Router: Rethinking Routing with Prefill Activations
Tanay Varshney, Annie Surla, Michelle Xu +5
Existing routers rely on semantic query features or handcrafted features, which often fail to capture model-specific failures or intrinsic task difficulty. We instead route using i…
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao, Sangwook Kim, David E Austin +1
Medical vision-language pretraining models (VLPM) have achieved remarkable progress in fusing chest X-rays (CXR) with clinical texts, introducing image-text data binding approaches…
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Zhiqi Li, Zhiding Yu, David Austin +4
This technical report summarizes the winning solution for the 3D Occupancy Prediction Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End Autonomous D…
Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153
Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…
Learning to Localize Temporal Events in Large-scale Video Data
Mikel Bober-Irizar, Miha Skalic, David Austin
We address temporal localization of events in large-scale video data, in the context of the Youtube-8M Segments dataset. This emerging field within video recognition can enable app…