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Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update


Jun 26, 2021
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar


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GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds


Apr 15, 2021
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu


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One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing


Nov 30, 2020
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu

* Our project page can be found at https://nvlabs.github.io/face-vid2vid 

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UFO$^2$: A Unified Framework towards Omni-supervised Object Detection


Oct 21, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

* ECCV 2020 

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Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications


Aug 06, 2020
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya


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COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder


Jul 29, 2020
Kuniaki Saito, Kate Saenko, Ming-Yu Liu

* The paper will be presented at the EUROPEAN Conference on Computer Vision (ECCV) 2020 

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World-Consistent Video-to-Video Synthesis


Jul 16, 2020
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu

* Published at the European Conference on Computer Vision, 2020 

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Learning compositional functions via multiplicative weight updates


Jun 25, 2020
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue


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Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection


Apr 09, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz

* Accepted to CVPR 2020 

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Style Example-Guided Text Generation using Generative Adversarial Transformers


Mar 02, 2020
Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu


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Learning to Generate Multiple Style Transfer Outputs for an Input Sentence


Feb 16, 2020
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz


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On the distance between two neural networks and the stability of learning


Feb 09, 2020
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu


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UNAS: Differentiable Architecture Search Meets Reinforcement Learning


Dec 16, 2019
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz


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Dancing to Music


Nov 05, 2019
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz

* NeurIPS 2019; Project page: https://github.com/NVlabs/Dancing2Music 

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Few-shot Video-to-Video Synthesis


Oct 28, 2019
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro

* In NeurIPS, 2019 

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Neural Turtle Graphics for Modeling City Road Layouts


Oct 04, 2019
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler

* ICCV-2019 Oral 

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PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows


Jul 01, 2019
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan


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Few-Shot Unsupervised Image-to-Image Translation


May 05, 2019
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz


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Meta-Sim: Learning to Generate Synthetic Datasets


Apr 25, 2019
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler

* Webpage: https://nv-tlabs.github.io/meta-sim/ 

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STEP: Spatio-Temporal Progressive Learning for Video Action Detection


Apr 19, 2019
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz

* CVPR 2019 (Oral) 

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CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification


Apr 05, 2019
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang

* Accepted for oral presentation at CVPR 2019 with review ratings of 2 strong accepts and 1 accept (work done during an internship at NVIDIA) 

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Boosting segmentation with weak supervision from image-to-image translation


Apr 04, 2019
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz


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Semantic Image Synthesis with Spatially-Adaptive Normalization


Mar 18, 2019
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

* CVPR 2019 
* Accepted as a CVPR 2019 oral paper 

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Context-Aware Synthesis and Placement of Object Instances


Dec 07, 2018
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz


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Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation


Sep 14, 2018
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz


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Unsupervised Stylish Image Description Generation via Domain Layer Norm


Sep 11, 2018
Cheng Kuan Chen, Zhu Feng Pan, Min Sun, Ming-Yu Liu


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Video-to-Video Synthesis


Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* Code, models, and more results are available at https://github.com/NVIDIA/vid2vid 

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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs


Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* v2: CVPR camera ready, adding more results for edge-to-photo examples 

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Multimodal Unsupervised Image-to-Image Translation


Aug 14, 2018
Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz

* Accepted by ECCV 2018 

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