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07/24/2023
Multiscale Video Pretraining for Long-Term Activity Forecasting
Long-term activity forecasting is an especially challenging research pro...
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07/11/2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
In egocentric action recognition a single population model is typically ...
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10/04/2021
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors
Understanding users' activities from head-mounted cameras is a fundament...
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09/25/2019
Stochastic Prototype Embeddings
Supervised deep-embedding methods project inputs of a domain to a repres...
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09/28/2018
Open-Ended Content-Style Recombination Via Leakage Filtering
We consider visual domains in which a class label specifies the content ...
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05/22/2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
The focus in machine learning has branched beyond training classifiers o...
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02/14/2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Deep-embedding methods aim to discover representations of a domain that ...
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12/15/2016