10 citations · 18 across the 5 of their papers we have counts for
5 papers
ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction
Yiqiao Jin, Stefano Petrangeli, Yu Shen +1
Graphical User Interface (GUI) agents are autonomous systems that interpret and generate actions, enabling intelligent user assistance and automation. Effective training of these a…
VADER: Video Alignment Differencing and Retrieval
Alexander Black, Simon Jenni, Tu Bui +5
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos. VADER matches and coarsely alig…
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention
Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli +2
We propose a method to detect individualized highlights for users on given target videos based on their preferred highlight clips marked on previous videos they have watched. Our m…
Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming
Shaoyu Chen, Budmonde Duinkharjav, Xin Sun +5
Media streaming has been adopted for a variety of applications such as entertainment, visualization, and design. Unlike video/audio streaming where the content is usually consumed…
HighlightMe: Detecting Highlights from Human-Centric Videos
Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli +2
We present a domain- and user-preference-agnostic approach to detect highlightable excerpts from human-centric videos. Our method works on the graph-based representation of multipl…