15 citations · 37 across the 8 of their papers we have counts for
9 papers
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zihui Gu, Ju Fan, Nan Tang +7
Zero-shot NL2SQL is crucial in achieving natural language to SQL that is adaptive to new environments (e.g., new databases, new linguistic phenomena or SQL structures) with zero an…
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh +2
Cardinality estimation is one of the most fundamental and challenging problems in query optimization. Neither classical nor learning-based methods yield satisfactory performance wh…
SeeSaw: Interactive Ad-hoc Search Over Image Databases
Oscar Moll, Manuel Favela, Samuel Madden +2
As image datasets become ubiquitous, the problem of ad-hoc searches over image data is increasingly important. Many high-level data tasks in machine learning, such as constructing…
Self-Supervised Multi-Object Tracking with Cross-Input Consistency
Favyen Bastani, Songtao He, Sam Madden
In this paper, we propose a self-supervised learning procedure for training a robust multi-object tracking (MOT) model given only unlabeled video. While several self-supervisory le…
MultiScope: Efficient Video Pre-processing for Exploratory Video Analytics
Favyen Bastani, Sam Madden
Performing analytics tasks over large-scale video datasets is increasingly common in a wide range of applications. These tasks generally involve object detection and tracking opera…
TagMe: GPS-Assisted Automatic Object Annotation in Videos
Songtao He, Favyen Bastani, Mohammad Alizadeh +4
Training high-accuracy object detection models requires large and diverse annotated datasets. However, creating these data-sets is time-consuming and expensive since it relies on h…
SkyQuery: An Aerial Drone Video Sensing Platform
Favyen Bastani, Songtao He, Ziwen Jiang +2
Video-based sensing from aerial drones, especially small multirotor drones, can provide rich data for numerous applications, including traffic analysis (computing traffic flow volu…
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling
Oscar Moll, Favyen Bastani, Sam Madden +3
Capturing and processing video is increasingly common as cameras become cheaper to deploy. At the same time, rich video understanding methods have progressed greatly in the last de…
Inferring and Improving Street Maps with Data-Driven Automation
Favyen Bastani, Songtao He, Satvat Jagwani +7
Street maps are a crucial data source that help to inform a wide range of decisions, from navigating a city to disaster relief and urban planning. However, in many parts of the wor…