79 citations · 82 across the 6 of their papers we have counts for
6 papers
GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video
Fang Liu, Jinpeng Chen, Ke Xu +7
While multimodal Large Language Models (MLLMs) excel at offline video understanding, an interesting question of how far they are from serving as a real-time procedural coach remain…
X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding
Peiwen Sun, Xudong Lu, Huadai Liu +10
While video streaming understanding has made significant strides, real-world applications, such as live sports broadcasting, autonomous driving, and multi-screen collaboration, inh…
AURA: Always-On Understanding and Real-Time Assistance via Video Streams
Xudong Lu, Yang Bo, Jinpeng Chen +9
Video Large Language Models (VideoLLMs) have achieved strong performance on many video understanding tasks, but most existing systems remain offline and are not well-suited for liv…
Delving into Dark Regions for Robust Shadow Detection
Huankang Guan, Ke Xu, Rynson W. H. Lau
Shadow detection is a challenging task as it requires a comprehensive understanding of shadow characteristics and global/local illumination conditions. We observe from our experime…
Modeling Long-Term Memory and Temporal Attention Shifts for Video Salient Object Ranking with a New Benchmark
Jiaying Lin, Rui Song, Huankang Guan +3
Salient Object Ranking (SOR) aims to estimate the relative saliency order among multiple salient objects. While SOR has been extensively studied in static images, Video Salient Obj…
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
Zhixuan Zhou, Huankang Guan, Meghana Moorthy Bhat +1
News plays a significant role in shaping people's beliefs and opinions. Fake news has always been a problem, which wasn't exposed to the mass public until the past election cycle f…