Lu Jiang

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Google ∙ Carnegie Mellon University

Senior research scientist in Google Research and Ph.D. of Carnegie Mellon University.

ViTGAN: Training GANs with Vision Transformers

Recently, Vision Transformers (ViTs) have shown competitive performance ...
07/09/2021 ∙ by Kwonjoon Lee, et al. ∙ 23 ∙ share

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Self-supervised and Supervised Joint Training for Resource-rich Machine Translation

Self-supervised pre-training of text representations has been successful...
06/08/2021 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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Faster Meta Update Strategy for Noise-Robust Deep Learning

It has been shown that deep neural networks are prone to overfitting on ...
04/30/2021 ∙ by Youjiang Xu, et al. ∙ 0 ∙ share

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Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent

Feature selection aims to select a subset of features to optimize the pe...
09/19/2020 ∙ by Xiaosa Zhao, et al. ∙ 6 ∙ share

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Text as Neural Operator: Image Manipulation by Text Instruction

In this paper, we study a new task that allows users to edit an input im...
08/11/2020 ∙ by Tianhao Zhang, et al. ∙ 7 ∙ share

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AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

In this paper, we propose a new adversarial augmentation method for Neur...
06/21/2020 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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Controllable and Progressive Image Extrapolation

Image extrapolation aims at expanding the narrow field of view of a give...
12/25/2019 ∙ by Yijun Li, et al. ∙ 9 ∙ share

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Neural Design Network: Graphic Layout Generation with Constraints

Graphic design is essential for visual communication with layouts being ...
12/19/2019 ∙ by Hsin-Ying Lee, et al. ∙ 32 ∙ share

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

This paper studies the problem of predicting the distribution over multi...
12/13/2019 ∙ by Junwei Liang, et al. ∙ 32 ∙ share

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Synthetic vs Real: Deep Learning on Controlled Noise

Performing controlled experiments on noisy data is essential in thorough...
11/21/2019 ∙ by Lu Jiang, et al. ∙ 24 ∙ share

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Confident Learning: Estimating Uncertainty in Dataset Labels

Learning exists in the context of data, yet notions of confidence typica...
10/31/2019 ∙ by Curtis G. Northcutt, et al. ∙ 13 ∙ 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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Robust Neural Machine Translation with Doubly Adversarial Inputs

Neural machine translation (NMT) often suffers from the vulnerability to...
06/06/2019 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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State-aware Re-identification Feature for Multi-target Multi-camera Tracking

Multi-target Multi-camera Tracking (MTMCT) aims to extract the trajector...
06/04/2019 ∙ by Peng Li, et al. ∙ 0 ∙ share

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Revisiting EmbodiedQA: A Simple Baseline and Beyond

In Embodied Question Answering (EmbodiedQA), an agent interacts with an ...
04/08/2019 ∙ by Yu Wu, et al. ∙ 1 ∙ share

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Let's Transfer Transformations of Shared Semantic Representations

With a good image understanding capability, can we manipulate the images...
03/02/2019 ∙ by Nam Vo, et al. ∙ 12 ∙ share

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Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Deciphering human behaviors to predict their future paths/trajectories a...
02/11/2019 ∙ by Junwei Liang, et al. ∙ 8 ∙ share

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Contrastive Adaptation Network for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) makes predictions for the target do...
01/04/2019 ∙ by Guoliang Kang, et al. ∙ 0 ∙ 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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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. ∙ 2 ∙ share

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Decoupled Novel Object Captioner

Image captioning is a challenging task where the machine automatically d...
04/11/2018 ∙ by Yu Wu, 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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Graph Distillation for Action Detection with Privileged Information

In this work, we propose a technique that tackles the video understandin...
11/30/2017 ∙ by Zelun Luo, et al. ∙ 0 ∙ share

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MemexQA: Visual Memex Question Answering

This paper proposes a new task, MemexQA: given a collection of photos or...
08/04/2017 ∙ by Lu Jiang, et al. ∙ 2 ∙ share

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Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification

We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
07/05/2017 ∙ by Po-Yao Huang, et al. ∙ 0 ∙ share

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Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search

Multimedia event detection has been receiving increasing attention in re...
08/12/2016 ∙ by Mengyi Liu, et al. ∙ 0 ∙ share

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Strategies for Searching Video Content with Text Queries or Video Examples

The large number of user-generated videos uploaded on to the Internet ev...
06/17/2016 ∙ by Shoou-I Yu, et al. ∙ 0 ∙ share

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Lu Jiang

Featured Co-authors

Wei Wang

Yi Yang

Ming-Hsuan Yang

Li Fei-Fei

Honglak Lee

Peng Li

Deyu Meng

Chuang Gan

Shiguang Shan

Han Zhang

Kevin Murphy

ViTGAN: Training GANs with Vision Transformers

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation

Faster Meta Update Strategy for Noise-Robust Deep Learning

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent

Text as Neural Operator: Image Manipulation by Text Instruction

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

Controllable and Progressive Image Extrapolation

Neural Design Network: Graphic Layout Generation with Constraints

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Synthetic vs Real: Deep Learning on Controlled Noise

Confident Learning: Estimating Uncertainty in Dataset Labels

Feature Partitioning for Efficient Multi-Task Architectures

Robust Neural Machine Translation with Doubly Adversarial Inputs

State-aware Re-identification Feature for Multi-target Multi-camera Tracking

Revisiting EmbodiedQA: A Simple Baseline and Beyond

Let's Transfer Transformations of Shared Semantic Representations

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Focal Visual-Text Attention for Visual Question Answering

Decoupled Novel Object Captioner

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels

Graph Distillation for Action Detection with Privileged Information

MemexQA: Visual Memex Question Answering

Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification

Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search

Strategies for Searching Video Content with Text Queries or Video Examples