194 citations · 206 across the 7 of their papers we have counts for
9 papers
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…
CrossScore: Towards Multi-View Image Evaluation and Scoring
Zirui Wang, Wenjing Bian, Victor Adrian Prisacariu
We introduce a novel cross-reference image quality assessment method that effectively fills the gap in the image assessment landscape, complementing the array of established evalua…
Aria Everyday Activities Dataset
Zhaoyang Lv, Nicholas Charron, Pierre Moulon +21
We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by…
EgoBlur: Responsible Innovation in Aria
Nikhil Raina, Guruprasad Somasundaram, Kang Zheng +12
Project Aria pushes the frontiers of Egocentric AI with large-scale real-world data collection using purposely designed glasses with privacy first approach. To protect the privacy…
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
Xiaqing Pan, Nicholas Charron, Yongqian Yang +6
We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth. This ADT release cont…
End-to-End Visual Editing with a Generatively Pre-Trained Artist
Andrew Brown, Cheng-Yang Fu, Omkar Parkhi +2
We consider the targeted image editing problem: blending a region in a source image with a driver image that specifies the desired change. Differently from prior works, we solve th…
Pointly-Supervised Instance Segmentation
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
We propose an embarrassingly simple point annotation scheme to collect weak supervision for instance segmentation. In addition to bounding boxes, we collect binary labels for a set…
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie +2
In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each subje…
Template Adaptation for Face Verification and Identification
Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi +3
Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces…