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05/11/2023
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
We present a sequence-to-sequence vision-language model whose parameters...
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08/11/2022
Semi-supervised Vision Transformers at Scale
We study semi-supervised learning (SSL) for vision transformers (ViT), a...
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08/20/2019
Action recognition with spatial-temporal discriminative filter banks
Action recognition has seen a dramatic performance improvement in the la...
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01/17/2019
Scale-Aware Attention Network for Crowd Counting
In crowd counting datasets, people appear at different scales, depending...
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03/28/2017
Objects as context for detecting their semantic parts
We present a semantic part detection approach that effectively leverages...
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09/11/2016
Learning Semantic Part-Based Models from Google Images
We propose a technique to train semantic part-based models of object cla...
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07/13/2016
Do semantic parts emerge in Convolutional Neural Networks?
Semantic object parts can be useful for several visual recognition tasks...
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03/03/2015
Context Forest for efficient object detection with large mixture models
We present Context Forest (ConF), a technique for predicting properties ...
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03/02/2015
