Sibendu Paul
Computer Science · Purdue University West Lafayette
Publications
30
Citations
126
Est. group size
~1
Recurring co-author estimate
Active years
21
Publishing since 2006
Sibendu Paul's research focuses on video analytics and video quality, including systems that automatically tune camera parameters and video pipelines to improve analysis accuracy, and methods for understanding video content such as detecting funny scenes, motion blur, and key moments in longer videos. The work combines computer vision techniques with systems engineering, aiming to make automated video processing more efficient and reliable in real-world settings like streaming and surveillance.
Publication output has been variable but generally increasing over the last decade, with a notable surge of activity in 2021-2022 and again projected for 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Automatic Funny Scene Extraction from Long-form Cinematic Videos
Open MIND · 2026
- Automatic Funny Scene Extraction from Long-form Cinematic Videos
arXiv (Cornell University) · 2026
- Automatic Funny Scene Extraction from Long-form Cinematic Videos
arXiv (Cornell University) · 2026
- Subtle Motion Blur Detection and Segmentation from Static Image Artworks
Open MIND · 2026
- Subtle Motion Blur Detection and Segmentation from Static Image Artworks
arXiv (Cornell University) · 2026
- Automatic Funny Scene Extraction from Long-form Cinematic Videos
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- CamTuner: Adaptive Video Analytics Pipelines via Real-Time Automated Camera Parameter Tuning
IEEE Transactions on Mobile Computing · 2025
- Beyond Immediate Click: Engagement-Aware and MoE-Enhanced Transformers for Sequential Movie Recommendation
2025
- From Captions to Keyframes: KeyScore for Multimodal Frame Scoring and Video-Language Understanding
arXiv (Cornell University) · 2025
- Elixir: A System to Enhance Data Quality for Multiple Analytics on a Video Stream
2023
- Why is the video analytics accuracy fluctuating, and what can we do about it?
arXiv (Cornell University) · 2022
- APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
arXiv (Cornell University) · 2022
- Elixir: A system to enhance data quality for multiple analytics on a video stream
arXiv (Cornell University) · 2022
- ENROUTE: An Entropy Aware Routing Scheme for Information-Centric Networks (ICN)
Wireless Personal Communications · 2021
- AQuA: Analytical Quality Assessment for Optimizing Video Analytics\n Systems
arXiv (Cornell University) · 2021
- arXiv (Cornell University)×11
- Open MIND×2
- IEEE Transactions on Mobile Computing×1
- Photonic Network Communications×1
- ACM Transactions on Embedded Computing Systems×1
- Ting Luo
Computer Science · Indiana University
- Amy R. Reibman
Computer Science · Purdue University West Lafayette
- Nian Wang
Computer Science · Indiana University
- James W. Davis
Computer Science · The Ohio State University
- Alex Leykin
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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