| 2,450 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
8.4474092e-05 |
| 2,776 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
8.0309448e-05 |
| 2,787 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
8.0158999e-05 |
| 2,982 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
7.7845174e-05 |
| 3,126 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
7.6185225e-05 |
| 3,219 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.5207996e-05 |
| 3,411 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
7.3253532e-05 |
| 3,508 |
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures |
2023 |
VLDB |
7.2490197e-05 |
| 3,650 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
7.1341771e-05 |
| 3,753 |
VSS: A Storage System for Video Analytics |
2021 |
SIGMOD |
7.0502734e-05 |
| 3,778 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
7.0259119e-05 |
| 3,874 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
6.953738e-05 |
| 3,884 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
6.948464e-05 |
| 3,969 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
6.8899861e-05 |
| 4,287 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.6869736e-05 |
| 4,775 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
6.4193428e-05 |
| 5,043 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.3002257e-05 |
| 5,211 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
6.2253642e-05 |
| 5,551 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
6.0872198e-05 |
| 5,804 |
Top-K Deep Video Analytics: A Probabilistic Approach |
2021 |
SIGMOD |
5.9888455e-05 |
| 5,970 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.9316412e-05 |
| 6,009 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.9148049e-05 |
| 6,189 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.8568233e-05 |
| 6,583 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
5.7438181e-05 |
| 7,009 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
5.6222568e-05 |
| 7,447 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
5.5240718e-05 |
| 7,801 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
5.4507311e-05 |
| 8,616 |
Query-Driven Video Event Processing for the Internet of Multimedia Things |
2021 |
VLDB |
5.3019687e-05 |
| 8,686 |
DeepVQL: Deep Video Queries on PostgreSQL |
2023 |
VLDB |
5.2905577e-05 |
| 8,691 |
Challenges and Opportunities for Autonomous Vehicle Query Systems |
2021 |
CIDR |
5.2905577e-05 |
| 8,749 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
5.2852539e-05 |
| 8,997 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.2410834e-05 |
| 9,539 |
Controlled Intentional Degradation in Analytical Video Systems |
2022 |
SIGMOD |
5.1621607e-05 |
| 9,589 |
SketchQL: Video Moment Querying with a Visual Query Interface |
2024 |
SIGMOD |
5.1567377e-05 |
| 9,602 |
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches |
2024 |
VLDB |
5.1542184e-05 |
| 9,624 |
Interactive Demonstration of EVA |
2023 |
VLDB |
5.1492598e-05 |
| 9,645 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
5.1453267e-05 |
| 10,043 |
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format |
2024 |
SIGMOD |
5.0921006e-05 |
| 10,107 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
5.0789354e-05 |
| 10,108 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
5.0789354e-05 |
| 10,109 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
5.0789354e-05 |
| 10,144 |
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics |
2026 |
CIDR |
5.0715586e-05 |
| 10,402 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,690 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,839 |
Craw: A Unified and Efficient Querying Framework for Large-Scale Video Datasets |
2026 |
VLDB |
4.9793485e-05 |
| 10,845 |
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees |
2026 |
VLDB |
4.9793485e-05 |
| 10,858 |
Sema: A High-performance System for LLM-based Semantic Query Processing |
2026 |
VLDB |
4.9793485e-05 |
| 10,876 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9793485e-05 |
| 11,111 |
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,207 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.9793485e-05 |