Li-Jia Li

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Google ∙ Stanford University

Head of R&D, Google Cloud AI | Adjunct Professor at Stanford School of Medicine

Generative Modeling for Small-Data Object Detection

This paper explores object detection in the small data regime, where onl...
10/16/2019 ∙ by Lanlan Liu, et al. ∙ 18 ∙ share

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Feature Partitioning for Efficient Multi-Task Architectures

Multi-task learning holds the promise of less data, parameters, and time...
08/12/2019 ∙ by Alejandro Newell, et al. ∙ 4 ∙ share

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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...
12/18/2018 ∙ by Nam Vo, et al. ∙ 20 ∙ share

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Vision-Based Gait Analysis for Senior Care

As the senior population rapidly increases, it is challenging yet crucia...
12/01/2018 ∙ by David Xue, et al. ∙ 0 ∙ share

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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...
12/01/2018 ∙ by Jiyang Gao, et al. ∙ 0 ∙ share

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Focal Visual-Text Attention for Visual Question Answering

Recent insights on language and vision with neural networks have been su...
06/05/2018 ∙ by Junwei Liang, et al. ∙ 1 ∙ share

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Iterative Visual Reasoning Beyond Convolutions

We present a novel framework for iterative visual reasoning. Our framewo...
03/29/2018 ∙ by Xinlei Chen, et al. ∙ 0 ∙ share

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Attention-based Graph Neural Network for Semi-supervised Learning

Recently popularized graph neural networks achieve the state-of-the-art ...
03/10/2018 ∙ by Kiran K. Thekumparampil, et al. ∙ 0 ∙ share

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MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels

Recent studies have discovered that deep networks are capable of memoriz...
12/14/2017 ∙ by Lu Jiang, et al. ∙ 0 ∙ share

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Progressive Neural Architecture Search

We propose a method for learning CNN structures that is more efficient t...
12/02/2017 ∙ by Chenxi Liu, et al. ∙ 0 ∙ share

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Thoracic Disease Identification and Localization with Limited Supervision

Accurate identification and localization of abnormalities from radiology...
11/17/2017 ∙ by Zhe Li, et al. ∙ 0 ∙ share

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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...
04/12/2017 ∙ by Zhou Ren, et al. ∙ 0 ∙ share

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Learning from Noisy Labels with Distillation

The ability of learning from noisy labels is very useful in many visual ...
03/07/2017 ∙ by Yuncheng Li, et al. ∙ 0 ∙ share

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Dense Captioning with Joint Inference and Visual Context

Dense captioning is a newly emerging computer vision topic for understan...
11/21/2016 ∙ by Linjie Yang, et al. ∙ 0 ∙ share

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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...
02/23/2016 ∙ by Ranjay Krishna, et al. ∙ 0 ∙ share

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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...
02/10/2015 ∙ by Sachin Sudhakar Farfade, et al. ∙ 0 ∙ share

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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 ...
11/21/2014 ∙ by Can Xu, et al. ∙ 0 ∙ share

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Li-Jia Li

Featured Co-authors

Jiebo Luo

Li Fei-Fei

Alan Yuille

Abhinav Gupta

Wei Wei

Kevin Murphy

Ning Zhang

Sewoong Oh

Jonathon Shlens

Jia Deng

Jianchao Yang

Generative Modeling for Small-Data Object Detection

Feature Partitioning for Efficient Multi-Task Architectures

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Vision-Based Gait Analysis for Senior Care

NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection

Focal Visual-Text Attention for Visual Question Answering

Iterative Visual Reasoning Beyond Convolutions

Attention-based Graph Neural Network for Semi-supervised Learning

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels

Progressive Neural Architecture Search

Thoracic Disease Identification and Localization with Limited Supervision

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Learning from Noisy Labels with Distillation

Dense Captioning with Joint Inference and Visual Context

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Multi-view Face Detection Using Deep Convolutional Neural Networks

Visual Sentiment Prediction with Deep Convolutional Neural Networks