| 2,225 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
8.7996555e-05 |
| 2,611 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
8.2027761e-05 |
| 2,777 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
8.0101016e-05 |
| 2,792 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
7.9895218e-05 |
| 2,924 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
7.8407467e-05 |
| 3,224 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.503511e-05 |
| 3,417 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
7.3044711e-05 |
| 3,513 |
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures |
2023 |
VLDB |
7.2253231e-05 |
| 3,629 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
7.1286458e-05 |
| 3,747 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
7.0351475e-05 |
| 3,759 |
VSS: A Storage System for Video Analytics |
2021 |
SIGMOD |
7.0248373e-05 |
| 3,782 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
7.0029633e-05 |
| 3,889 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
6.9269184e-05 |
| 3,966 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
6.8776157e-05 |
| 4,284 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.6710929e-05 |
| 4,795 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
6.3991535e-05 |
| 5,069 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.2764765e-05 |
| 5,216 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
6.2134335e-05 |
| 5,232 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
6.2051599e-05 |
| 5,812 |
Top-K Deep Video Analytics: A Probabilistic Approach |
2021 |
SIGMOD |
5.9697648e-05 |
| 5,951 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.9185041e-05 |
| 6,018 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.8939406e-05 |
| 6,202 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.8347611e-05 |
| 6,561 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
5.7288224e-05 |
| 7,015 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
5.6044008e-05 |
| 7,416 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
5.5159866e-05 |
| 7,462 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
5.5065907e-05 |
| 8,543 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3039559e-05 |
| 8,645 |
Query-Driven Video Event Processing for the Internet of Multimedia Things |
2021 |
VLDB |
5.2819355e-05 |
| 8,696 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
5.2717835e-05 |
| 8,714 |
DeepVQL: Deep Video Queries on PostgreSQL |
2023 |
VLDB |
5.2705676e-05 |
| 8,719 |
Challenges and Opportunities for Autonomous Vehicle Query Systems |
2021 |
CIDR |
5.2705676e-05 |
| 8,778 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
5.2652839e-05 |
| 9,574 |
Controlled Intentional Degradation in Analytical Video Systems |
2022 |
SIGMOD |
5.1428165e-05 |
| 9,623 |
SketchQL: Video Moment Querying with a Visual Query Interface |
2024 |
SIGMOD |
5.1372533e-05 |
| 9,638 |
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches |
2024 |
VLDB |
5.1347435e-05 |
| 9,658 |
Interactive Demonstration of EVA |
2023 |
VLDB |
5.1298036e-05 |
| 10,017 |
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format |
2024 |
SIGMOD |
5.0825892e-05 |
| 10,147 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
5.0597449e-05 |
| 10,149 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
5.0597449e-05 |
| 10,150 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
5.0597449e-05 |
| 10,185 |
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics |
2026 |
CIDR |
5.052396e-05 |
| 10,231 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
5.0432098e-05 |
| 10,232 |
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees |
2026 |
VLDB |
5.0432098e-05 |
| 10,480 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,910 |
Craw: A Unified and Efficient Querying Framework for Large-Scale Video Datasets |
2026 |
VLDB |
4.9605343e-05 |
| 10,928 |
Sema: A High-performance System for LLM-based Semantic Query Processing |
2026 |
VLDB |
4.9605343e-05 |
| 10,946 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9605343e-05 |
| 11,181 |
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data |
2025 |
SIGMOD |
4.9605343e-05 |
| 11,273 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.9605343e-05 |