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Generative Modeling for Small-Data Object Detection
This paper explores object detection in the small data regime, where onl...
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Feature Partitioning for Efficient Multi-Task Architectures
Multi-task learning holds the promise of less data, parameters, and time...
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Composing Text and Image for Image Retrieval - An Empirical Odyssey
In this paper, we study the task of image retrieval, where the input que...
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Vision-Based Gait Analysis for Senior Care
As the senior population rapidly increases, it is challenging yet crucia...
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NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
The labeling cost of large number of bounding boxes is one of the main c...
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Focal Visual-Text Attention for Visual Question Answering
Recent insights on language and vision with neural networks have been su...
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Iterative Visual Reasoning Beyond Convolutions
We present a novel framework for iterative visual reasoning. Our framewo...
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Attention-based Graph Neural Network for Semi-supervised Learning
Recently popularized graph neural networks achieve the state-of-the-art ...
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MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels
Recent studies have discovered that deep networks are capable of memoriz...
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Progressive Neural Architecture Search
We propose a method for learning CNN structures that is more efficient t...
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Thoracic Disease Identification and Localization with Limited Supervision
Accurate identification and localization of abnormalities from radiology...
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Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Image captioning is a challenging problem owing to the complexity in und...
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Learning from Noisy Labels with Distillation
The ability of learning from noisy labels is very useful in many visual ...
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Dense Captioning with Joint Inference and Visual Context
Dense captioning is a newly emerging computer vision topic for understan...
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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Despite progress in perceptual tasks such as image classification, compu...
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Multi-view Face Detection Using Deep Convolutional Neural Networks
In this paper we consider the problem of multi-view face detection. Whil...
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Visual Sentiment Prediction with Deep Convolutional Neural Networks
Images have become one of the most popular types of media through which ...
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