8 citations · 12 across the 16 of their papers we have counts for
5 papers · 1 filter
Action Scene Graphs for Long-Form Understanding of Egocentric Videos
Ivan Rodin, Antonino Furnari, Kyle Min +2
We present Egocentric Action Scene Graphs (EASGs), a new representation for long-form understanding of egocentric videos. EASGs extend standard manually-annotated representations o…
STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization
Kyle Min
This report introduces our novel method named STHG for the Audio-Visual Diarization task of the Ego4D Challenge 2023. Our key innovation is that we model all the speakers in a vide…
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Changhoon Kim, Kyle Min, Maitreya Patel +2
The rapid advancement of generative models, facilitating the creation of hyper-realistic images from textual descriptions, has concurrently escalated critical societal concerns suc…
SViTT: Temporal Learning of Sparse Video-Text Transformers
Yi Li, Kyle Min, Subarna Tripathi +1
Do video-text transformers learn to model temporal relationships across frames? Despite their immense capacity and the abundance of multimodal training data, recent work has reveal…
Unbiased Scene Graph Generation in Videos
Sayak Nag, Kyle Min, Subarna Tripathi +1
The task of dynamic scene graph generation (SGG) from videos is complicated and challenging due to the inherent dynamics of a scene, temporal fluctuation of model predictions, and…