1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Redmond Fire DepartmentUS2 papers
- ATUM (United States)US1 paper
- Collaborative Drug Discovery (United States)US1 paper
- Metacomp Technologies (United States)US1 paper
- META HealthUS1 paper
- Metrica (United States)US1 paper
- Microsoft Research (United Kingdom)GB1 paper
- Microsoft (United States)US1 paper
- New York UniversityUS1 paper
- Poznańska Hodowla Roślin (Poland)PL1 paper
- Snowflake Inc. (United States)1 paper
- TH Bingen University of Applied SciencesDE1 paper
5 papers
Gazeify Then Voiceify: Physical Object Referencing Through Gaze and Voice Interaction with Displayless Smart Glasses
Zheng Zhang, Mengjie Yu, Tianyi Wang +6
Smart glasses enhance interactions with the environment by using head-mounted cameras to observe the user's viewpoint, but lack the visual feedback used for common interactions. We…
Cortex AISQL: A Production SQL Engine for Unstructured Data
Paweł Liskowski, Benjamin Han, Paritosh Aggarwal +11
Snowflake's Cortex AISQL is a production SQL engine that integrates native semantic operations directly into SQL. This integration allows users to write declarative queries that co…
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi +3
Following their success in natural language processing (NLP), there has been a shift towards transformer models in computer vision. While transformers perform well and offer promis…
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor, Xiaodong He, Ivan Tashev +1
Today, the optimal performance of existing noise-suppression algorithms, both data-driven and those based on classic statistical methods, is range bound to specific levels of insta…
VQA: Visual Question Answering
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol +4
We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate…