research
∙
07/24/2023
Multiscale Video Pretraining for Long-Term Activity Forecasting
Long-term activity forecasting is an especially challenging research pro...
share
research
∙
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 ...
research
∙
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...
research
∙
09/25/2019
Stochastic Prototype Embeddings
Supervised deep-embedding methods project inputs of a domain to a repres...
research
∙
09/28/2018
Open-Ended Content-Style Recombination Via Leakage Filtering
We consider visual domains in which a class label specifies the content ...
research
∙
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...
research
∙
02/14/2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Deep-embedding methods aim to discover representations of a domain that ...
research
∙
12/15/2016
