Li-Jia Li

is this you? claim profile

∙

0 followers

∙

Google

∙

Stanford University

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

Featured Co-authors

Jiebo Luo
172 publications
Alan Yuille
157 publications
Wei Wei
120 publications
Li Fei-Fei
120 publications
Ning Zhang
80 publications
Abhinav Gupta
76 publications
Sewoong Oh
60 publications
Manmohan Chandraker
58 publications
Kevin Murphy
58 publications
Jia Deng
58 publications
Yuke Zhu
56 publications

∙ 11/19/2021

YMIR: A Rapid Data-centric Development Platform for Vision Applications

This paper introduces an open source platform for rapid development of c...

Phoenix X. Huang, et al. ∙

∙ 10/16/2019

Generative Modeling for Small-Data Object Detection

This paper explores object detection in the small data regime, where onl...

Lanlan Liu, et al. ∙

∙ 08/12/2019

Feature Partitioning for Efficient Multi-Task Architectures

Multi-task learning holds the promise of less data, parameters, and time...

Alejandro Newell, et al. ∙

∙ 12/18/2018

Composing Text and Image for Image Retrieval - An Empirical Odyssey

In this paper, we study the task of image retrieval, where the input que...

Nam Vo, et al. ∙

∙ 12/01/2018

Vision-Based Gait Analysis for Senior Care

As the senior population rapidly increases, it is challenging yet crucia...

David Xue, et al. ∙

∙ 12/01/2018

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...

Jiyang Gao, et al. ∙

∙ 06/05/2018

Focal Visual-Text Attention for Visual Question Answering

Recent insights on language and vision with neural networks have been su...

Junwei Liang, et al. ∙

∙ 03/29/2018

Iterative Visual Reasoning Beyond Convolutions

We present a novel framework for iterative visual reasoning. Our framewo...

Xinlei Chen, et al. ∙

∙ 03/10/2018

Attention-based Graph Neural Network for Semi-supervised Learning

Recently popularized graph neural networks achieve the state-of-the-art ...

Kiran K. Thekumparampil, et al. ∙

∙ 12/14/2017

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels

Recent studies have discovered that deep networks are capable of memoriz...

Lu Jiang, et al. ∙

∙ 12/02/2017

Progressive Neural Architecture Search

We propose a method for learning CNN structures that is more efficient t...

Chenxi Liu, et al. ∙

∙ 11/17/2017

Thoracic Disease Identification and Localization with Limited Supervision

Accurate identification and localization of abnormalities from radiology...

Zhe Li, et al. ∙

∙ 04/12/2017

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Image captioning is a challenging problem owing to the complexity in und...

Zhou Ren, et al. ∙

∙ 03/07/2017

Learning from Noisy Labels with Distillation

The ability of learning from noisy labels is very useful in many visual ...

Yuncheng Li, et al. ∙

∙ 11/21/2016

Dense Captioning with Joint Inference and Visual Context

Dense captioning is a newly emerging computer vision topic for understan...

Linjie Yang, et al. ∙

∙ 02/23/2016

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

Despite progress in perceptual tasks such as image classification, compu...

Ranjay Krishna, et al. ∙

∙ 02/10/2015

Multi-view Face Detection Using Deep Convolutional Neural Networks

In this paper we consider the problem of multi-view face detection. Whil...

Sachin Sudhakar Farfade, et al. ∙

∙ 11/21/2014

Visual Sentiment Prediction with Deep Convolutional Neural Networks

Images have become one of the most popular types of media through which ...

Can Xu, et al. ∙