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07/07/2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification Segmentation
We address the task of weakly-supervised few-shot image classification a...
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11/01/2022
Dungeons and Data: A Large-Scale NetHack Dataset
Recent breakthroughs in the development of agents to solve challenging s...
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03/20/2021
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
Action segmentation refers to inferring boundaries of semantically consi...
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01/29/2020
Virtual KITTI 2
This paper introduces an updated version of the well-known Virtual KITTI...
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10/12/2019
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
Deep video action recognition models have been highly successful in rece...
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04/05/2018
End-to-End Saliency Mapping via Probability Distribution Prediction
Most saliency estimation methods aim to explicitly model low-level consp...
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01/16/2018
Re-ID done right: towards good practices for person re-identification
Training a deep architecture using a ranking loss has become standard fo...
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11/24/2016
Interferences in match kernels
We consider the design of an image representation that embeds and aggreg...
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12/16/2014
Discovering beautiful attributes for aesthetic image analysis
Aesthetic image analysis is the study and assessment of the aesthetic pr...
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06/02/2014