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07/26/2022
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Large-scale multi-modal contrastive pre-training has demonstrated great ...
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04/16/2022
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting
We study multimodal few-shot object detection (FSOD) in this paper, usin...
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04/22/2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
We present a framework for learning multimodal representations from unla...
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04/15/2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
Few-shot object detection (FSOD) aims to detect objects using only few e...
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12/24/2020
Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
Recent works seek to endow recognition systems with the ability to handl...
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10/24/2020
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions
Pre-trained contextual vision-and-language (V L) models have brought i...
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07/15/2019
Detecting and Simulating Artifacts in GAN Fake Images
To detect GAN generated images, conventional supervised machine learning...
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11/28/2018
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
We address the problem of phrase grounding by learning a multi-level com...
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02/19/2018
Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation
The goal of Online Action Detection (OAD) is to detect action in a timel...
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05/24/2016
EventNet Version 1.1 Technical Report
EventNet is a large-scale video corpus and event ontology consisting of ...
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02/24/2014
