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05/17/2023
What You See is What You Read? Improving Text-Image Alignment Evaluation
Automatically determining whether a text and a corresponding image are s...
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02/23/2023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Large language models have demonstrated an emergent capability in answer...
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02/22/2023
Connecting Vision and Language with Video Localized Narratives
We propose Video Localized Narratives, a new form of multimodal video an...
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12/19/2022
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Creativity is an indispensable part of human cognition and also an inher...
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09/14/2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Effective scaling and a flexible task interface enable large language mo...
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09/12/2022
PreSTU: Pre-Training for Scene-Text Understanding
The ability to read and reason about texts in an image is often lacking ...
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09/12/2022
Towards Multi-Lingual Visual Question Answering
Visual Question Answering (VQA) has been primarily studied through the l...
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05/04/2022
All You May Need for VQA are Image Captions
Visual Question Answering (VQA) has benefited from increasingly sophisti...
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02/17/2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
The availability of large-scale image captioning and visual question ans...
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02/17/2021
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Object frequencies in daily scenes follow a long-tailed distribution. Ma...
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02/09/2021
Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval
Existing image retrieval systems use text queries to provide a natural a...
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09/10/2020
Weakly Supervised Content Selection for Improved Image Captioning
Image captioning involves identifying semantic concepts in the scene and...
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12/06/2019
Connecting Vision and Language with Localized Narratives
We propose Localized Narratives, an efficient way to collect image capti...
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09/04/2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
Object detection plays an important role in current solutions to vision ...
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12/16/2018
Classifier and Exemplar Synthesis for Zero-Shot Learning
Zero-shot learning (ZSL) enables solving a task without the need to see ...
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08/13/2018
Multi-Task Learning for Sequence Tagging: An Empirical Study
We study three general multi-task learning (MTL) approaches on 11 sequen...
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02/21/2017
The Power of Sparsity in Convolutional Neural Networks
Deep convolutional networks are well-known for their high computational ...
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05/26/2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Leveraging class semantic descriptions and examples of known objects, ze...
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03/02/2016
