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Socratic models: Composing zero-shot multimodal reasoning with language
Large pretrained (eg," foundation") models exhibit distinct capabilities depending on the
domain of data they are trained on. While these domains are generic, they may only barely …
domain of data they are trained on. While these domains are generic, they may only barely …
Analysis of the hands in egocentric vision: A survey
Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …
years, thanks to the availability of affordable wearable cameras and large annotated …
Toward storytelling from visual lifelogging: An overview
Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …
by wearing a camera over a long period of time. The pictures taken offer considerable …
3d hand shape and pose from images in the wild
We present in this work the first end-to-end deep learning based method that predicts both
3D hand shape and pose from RGB images in the wild. Our network consists of the …
3D hand shape and pose from RGB images in the wild. Our network consists of the …
Fine-grained egocentric hand-object segmentation: Dataset, model, and applications
Egocentric videos offer fine-grained information for high-fidelity modeling of human
behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's …
behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's …
Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions
Hands appear very often in egocentric video, and their appearance and pose give important
cues about what people are doing and what they are paying attention to. But existing work in …
cues about what people are doing and what they are paying attention to. But existing work in …
Egocentric audio-visual object localization
Humans naturally perceive surrounding scenes by unifying sound and sight in a first-person
view. Likewise, machines are advanced to approach human intelligence by learning with …
view. Likewise, machines are advanced to approach human intelligence by learning with …
Going deeper into first-person activity recognition
We bring together ideas from recent work on feature design for egocentric action recognition
under one framework by exploring the use of deep convolutional neural networks (CNN) …
under one framework by exploring the use of deep convolutional neural networks (CNN) …
Survey on 3D hand gesture recognition
Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
Future person localization in first-person videos
We present a new task that predicts future locations of people observed in first-person
videos. Consider a first-person video stream continuously recorded by a wearable camera …
videos. Consider a first-person video stream continuously recorded by a wearable camera …