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AdaViT: Adaptive Tokens for Efficient Vision Transformer


Dec 14, 2021
Hongxu Yin, Arash Vahdat, Jose Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov


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Multimodal Conditional Image Synthesis with Product-of-Experts GANs


Dec 09, 2021
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu


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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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See through Gradients: Image Batch Recovery via GradInversion


Apr 15, 2021
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

* CVPR 2021 accepted paper 

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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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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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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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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion


Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


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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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Importance Estimation for Neural Network Pruning


Jun 25, 2019
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz


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Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation


May 28, 2019
Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik


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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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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning


May 13, 2018
Arun Mallya, Svetlana Lazebnik


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Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights


Mar 16, 2018
Arun Mallya, Dillon Davis, Svetlana Lazebnik


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Combining Multiple Cues for Visual Madlibs Question Answering


Feb 07, 2018
Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg

* submitted to IJCV -- under review 

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Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues


Aug 09, 2017
Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik

* IEEE ICCV 2017 accepted paper 

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Recurrent Models for Situation Recognition


Aug 04, 2017
Arun Mallya, Svetlana Lazebnik

* To appear at ICCV 2017 

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Solving Visual Madlibs with Multiple Cues


Aug 11, 2016
Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg

* accepted at BMVC 2016 

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Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering


Jul 28, 2016
Arun Mallya, Svetlana Lazebnik


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Unsupervised Network Pretraining via Encoding Human Design


Jan 22, 2016
Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen

* 9 pages, 11 figures, WACV 2016: IEEE Conference on Applications of Computer Vision 

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Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization


Jul 22, 2015
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem

* BMVC 2015 

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