53 citations · 69 across the 9 of their papers we have counts for
10 papers
Task Me Anything
Jieyu Zhang, Weikai Huang, Zixian Ma +7
Benchmarks for large multimodal language models (MLMs) now serve to simultaneously assess the general capabilities of models instead of evaluating for a specific capability. As a r…
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
Lindsey Linxi Wei, Chung Yik Edward Yeung, Hongjian Yu +3
We demonstrate MaskSearch, a system designed to accelerate queries over databases of image masks generated by machine learning models. MaskSearch formalizes and accelerates a new c…
MaskSearch: Querying Image Masks at Scale
Dong He, Jieyu Zhang, Maureen Daum +2
Machine learning tasks over image databases often generate masks that annotate image content (e.g., saliency maps, segmentation maps, depth maps) and enable a variety of applicatio…
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]
Maureen Daum, Enhao Zhang, Dong He +4
We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets. VOCALExplore supports interactive labeling sessions and trains…
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]
Enhao Zhang, Maureen Daum, Dong He +3
We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative e…
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Yuki Asada, Victor Fu, Apurva Gandhi +8
We demonstrate Tensor Query Processor (TQP): a query processor that automatically compiles relational operators into tensor programs. By leveraging tensor runtimes such as PyTorch,…
Query Processing on Tensor Computation Runtimes
Dong He, Supun Nakandala, Dalitso Banda +7
The huge demand for computation in artificial intelligence (AI) is driving unparalleled investments in hardware and software systems for AI. This leads to an explosion in the numbe…
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
Dong He, Maureen Daum, Walter Cai +1
We design, implement, and evaluate DeepEverest, a system for the efficient execution of interpretation by example queries over the activation values of a deep neural network. DeepE…
VSS: A Storage System for Video Analytics [Technical Report]
Brandon Haynes, Maureen Daum, Dong He +4
We present a new video storage system (VSS) designed to decouple high-level video operations from the low-level details required to store and efficiently retrieve video data. VSS i…
TASM: A Tile-Based Storage Manager for Video Analytics
Maureen Daum, Brandon Haynes, Dong He +2
Modern video data management systems store videos as a single encoded file, which significantly limits possible storage level optimizations. We design, implement, and evaluate TASM…