2 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
EgoPC: Internalizing Plan-Perceive-Compose for Spatial Reasoning in Egocentric Video
Chaoyu Li, Arka Sadhu, Yuliang Li +3
Answering complex spatial reasoning questions from egocentric video requires determining what evidence is needed, acquiring targeted observations, and combining them through multip…
Agentic Very Long Video Understanding
Aniket Rege, Arka Sadhu, Yuliang Li +5
The advent of always-on personal AI assistants, enabled by all-day wearable devices such as smart glasses, demands a new level of contextual understanding, one that goes beyond sho…
CountSteer: Steering Attention for Object Counting in Diffusion Models
Hyemin Boo, Hyoryung Kim, Myungjin Lee +4
Text-to-image diffusion models generate realistic and coherent images but often fail to follow numerical instructions in text, revealing a gap between language and visual represent…
Reading Recognition in the Wild
Charig Yang, Samiul Alam, Shakhrul Iman Siam +12
To enable egocentric contextual AI in always-on smart glasses, it is crucial to be able to keep a record of the user's interactions with the world, including during reading. In thi…
EgoLM: Multi-Modal Language Model of Egocentric Motions
Fangzhou Hong, Vladimir Guzov, Hyo Jin Kim +4
As the prevalence of wearable devices, learning egocentric motions becomes essential to develop contextual AI. In this work, we present EgoLM, a versatile framework that tracks and…
Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild
Lingni Ma, Yuting Ye, Fangzhou Hong +14
We introduce Nymeria - a large-scale, diverse, richly annotated human motion dataset collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) fu…