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20232026
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cs.CV2026

Conditional Multi-Event Temporal Grounding in Long-Form Video

Yuanhao Zou, Arthad Kulkarni, Lucas Tonanez +12

Multimodal large language models have made rapid progress in video temporal grounding, yet real-world applications routinely require localizing every event that satisfies compositi…

cs.CV2026

ForeSea: AI Forensic Search with Multi-modal Queries for Video Surveillance

Hyojin Park, Yi Li, Janghoon Cho +8

Despite decades of work, surveillance still struggles in searching and reasoning about specific targets across long, multi-camera videos. Existing methods - tracking, retrieval, an…

cs.CV2025

EgoPrivacy: What Your First-Person Camera Says About You?

Yijiang Li, Genpei Zhang, Jiacheng Cheng +7

While the rapid proliferation of wearable cameras has raised significant concerns about egocentric video privacy, prior work has largely overlooked the unique privacy threats posed…

cs.CV2024

EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting

Min-Hui Lin, Mahesh Reddy, Guillaume Berger +3

In this paper, we present EdgeRelight360, an approach for real-time video portrait relighting on mobile devices, utilizing text-conditioned generation of 360-degree high dynamic ra…

cs.CV2023

INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields

Andrew Hou, Feng Liu, Zhiyuan Ren +4

We propose INFAMOUS-NeRF, an implicit morphable face model that introduces hypernetworks to NeRF to improve the representation power in the presence of many training subjects. At t…