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07/06/2022
Multi-Contrast MRI Segmentation Trained on Synthetic Images
In our comprehensive experiments and evaluations, we show that it is pos...
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01/15/2022
Towards Zero-shot Sign Language Recognition
This paper tackles the problem of zero-shot sign language recognition (Z...
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10/23/2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Just like other few-shot learning problems, few-shot segmentation aims t...
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09/16/2020
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
In many real-world problems, there is typically a large discrepancy betw...
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07/31/2019
Image Captioning with Unseen Objects
Image caption generation is a long standing and challenging problem at t...
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07/24/2019
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
We introduce the problem of zero-shot sign language recognition (ZSSLR),...
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05/16/2019
Learning Visually Consistent Label Embeddings for Zero-Shot Learning
In this work, we propose a zero-shot learning method to effectively mode...
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09/04/2018
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Understanding and reasoning about cooking recipes is a fruitful research...
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05/19/2018
Wildest Faces: Face Detection and Recognition in Violent Settings
With the introduction of large-scale datasets and deep learning models c...
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05/16/2018
Zero-Shot Object Detection by Hybrid Region Embedding
Object detection is considered as one of the most challenging problems i...
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05/04/2017
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning
We propose a novel approach for unsupervised zero-shot learning (ZSL) of...
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12/22/2016
Re-evaluating Automatic Metrics for Image Captioning
The task of generating natural language descriptions from images has rec...
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01/15/2016