activity
20212026
most citedZeus: Efficiently Localizing Actions in Videos using Reinforcement Learning

10 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

Halo: Domain-Aware Query Optimization for Long-Context Question Answering

Pramod Chunduri, Francisco Romero, Ali Payani +2

Long-context question answering (QA) over lengthy documents is critical for applications such as financial analysis, legal review, and scientific research. Current approaches, such…

cs.DB2025

TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing

Pramod Chunduri, Yao Lu, Joy Arulraj

Efficiently re-identifying and tracking objects across a network of cameras is crucial for applications like traffic surveillance. Spatula is the state-of-the-art video database ma…

cs.DB2024★ 1 cited

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches

Renzhi Wu, Pramod Chunduri, Dristi J Shah +5

In this paper, we will present SketchQL, a video database management system (VDBMS) for retrieving video moments with a sketch-based query interface. This novel interface allows us…

cs.DB2021★ 1 cited

EKO: Adaptive Sampling of Compressed Video Data

Jaeho Bang, Pramod Chunduri, Joy Arulraj

Researchers have presented systems for efficiently analysing video data at scale using sampling algorithms. While these systems effectively leverage the temporal redundancy present…

cs.CV2021★ 10 cited

Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning

Pramod Chunduri, Jaeho Bang, Yao Lu +1

Detection and localization of actions in videos is an important problem in practice. State-of-the-art video analytics systems are unable to efficiently and effectively answer such…