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BLT: Bidirectional Layout Transformer for Controllable Layout Generation


Dec 09, 2021
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa

* 14 pages, under review 

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Pyramid Adversarial Training Improves ViT Performance


Nov 30, 2021
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

* 32 pages, including references & supplementary material 

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Discrete Representations Strengthen Vision Transformer Robustness


Nov 20, 2021
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa


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ViTGAN: Training GANs with Vision Transformers


Jul 09, 2021
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu


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


Jun 08, 2021
Yong Cheng, Wei Wang, Lu Jiang, Wolfgang Macherey

* Accepted by ICML 2021 

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Faster Meta Update Strategy for Noise-Robust Deep Learning


Apr 30, 2021
Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang

* Accepted to CVPR 2021 

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Regularizing Generative Adversarial Networks under Limited Data


Apr 07, 2021
Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang

* CVPR 2021. Project Page: https://hytseng0509.github.io/lecam-gan Code: https://github.com/google/lecam-gan 

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Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent


Sep 19, 2020
Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu


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Text as Neural Operator: Image Manipulation by Text Instruction


Aug 12, 2020
Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Honglak Lee, Irfan Essa, Weilong Yang


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RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval


Jul 16, 2020
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang

* ECCV 2020 

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AdvAug: Robust Adversarial Augmentation for Neural Machine Translation


Jul 03, 2020
Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein

* published at ACL2020 

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SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras


Apr 04, 2020
Junwei Liang, Lu Jiang, Alexander Hauptmann


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Controllable and Progressive Image Extrapolation


Dec 25, 2019
Yijun Li, Lu Jiang, Ming-Hsuan Yang


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Neural Design Network: Graphic Layout Generation with Constraints


Dec 19, 2019
Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, Ming-Hsuan Yang


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


Dec 17, 2019
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann

* Code, models and dataset are available at: https://next.cs.cmu.edu/multiverse/index.html 

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Synthetic vs Real: Deep Learning on Controlled Noise


Nov 21, 2019
Lu Jiang, Di Huang, Weilong Yang


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Confident Learning: Estimating Uncertainty in Dataset Labels


Oct 31, 2019
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang


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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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Robust Neural Machine Translation with Doubly Adversarial Inputs


Jun 06, 2019
Yong Cheng, Lu Jiang, Wolfgang Macherey

* Accepted by ACL 2019 

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


Jun 04, 2019
Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang

* To appear in CVPR-2019 TRMTMCT Workshop 

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Revisiting EmbodiedQA: A Simple Baseline and Beyond


Apr 08, 2019
Yu Wu, Lu Jiang, Yi Yang


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


Mar 25, 2019
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei


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Let's Transfer Transformations of Shared Semantic Representations


Mar 02, 2019
Nam Vo, Lu Jiang, James Hays


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Contrastive Adaptation Network for Unsupervised Domain Adaptation


Jan 04, 2019
Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann


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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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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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