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Generative Modeling for Small-Data Object Detection

Oct 16, 2019
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li

* Published in ICCV 2019 

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Feature Partitioning for Efficient Multi-Task Architectures

Aug 12, 2019
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng


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Composing Text and Image for Image Retrieval - An Empirical Odyssey

Dec 18, 2018
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays


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Vision-Based Gait Analysis for Senior Care

Dec 01, 2018
David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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

Dec 01, 2018
JIyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia

* 8 pages 

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AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Aug 26, 2018
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han


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MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Aug 13, 2018
Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

* published at ICML 2018 

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Progressive Neural Architecture Search

Jul 26, 2018
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

* To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet.pytorch for exact conversion to PyTorch 

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Thoracic Disease Identification and Localization with Limited Supervision

Jun 20, 2018
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

* Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018). V1: CVPR submission; V2: +supplementary; V3: CVPR camera-ready; V4: correction, update reference baseline results according to their latest post; V5: minor correction; V6: Identification results using NIH data splits and various image models 

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Focal Visual-Text Attention for Visual Question Answering

Jun 05, 2018
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander Hauptmann


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Iterative Visual Reasoning Beyond Convolutions

Mar 29, 2018
Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta

* CVPR 2018 

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Attention-based Graph Neural Network for Semi-supervised Learning

Mar 10, 2018
Kiran K. Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li


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Dense Captioning with Joint Inference and Visual Context

Aug 07, 2017
Linjie Yang, Kevin Tang, Jianchao Yang, Li-Jia Li


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Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Apr 12, 2017
Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li


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Learning from Noisy Labels with Distillation

Apr 07, 2017
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li


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

Feb 23, 2016
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Fei-Fei Li

* 44 pages, 37 figures 

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Multi-view Face Detection Using Deep Convolutional Neural Networks

Apr 20, 2015
Sachin Sudhakar Farfade, Mohammad Saberian, Li-Jia Li

* in International Conference on Multimedia Retrieval 2015 (ICMR) 

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Visual Sentiment Prediction with Deep Convolutional Neural Networks

Nov 21, 2014
Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li


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Large-Scale Multi-Label Learning with Incomplete Label Assignments

Jul 06, 2014
Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan


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