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05/03/2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Large-scale visual language models are widely used as pre-trained models...
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01/23/2023
Zorro: the masked multimodal transformer
Attention-based models are appealing for multimodal processing because i...
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04/29/2022
Flamingo: a Visual Language Model for Few-Shot Learning
Building models that can be rapidly adapted to numerous tasks using only...
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11/23/2021
Towards Learning Universal Audio Representations
The ability to learn universal audio representations that can solve dive...
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04/26/2021
Multimodal Self-Supervised Learning of General Audio Representations
We present a multimodal framework to learn general audio representations...
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03/30/2021
Broaden Your Views for Self-Supervised Video Learning
Most successful self-supervised learning methods are trained to align th...
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11/18/2020
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning ...
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03/09/2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Recent breakthroughs in adversarial generative modeling have led to mode...
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03/30/2018
Predicting Future Instance Segmentations by Forecasting Convolutional Features
Anticipating future events is an important prerequisite towards intellig...
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03/22/2017
Predicting Deeper into the Future of Semantic Segmentation
The ability to predict and therefore to anticipate the future is an impo...
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11/25/2016