Arun Mallya

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 44

Top Topics

Image Synthesis

Fine Grained Categorization

Closed Captions

Top Venues

Publications

Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
SPACE: Speech-driven Portrait Animation with Controllable Expression. ICCV (2023)
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. ECCV (16) (2022)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR (2022)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
Implicit Neural Representations with Levels-of-Experts. NeurIPS (2022)
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Implicit Warping for Animation with Image Sets. NeurIPS (2022)
Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
SPACEx: Speech-driven Portrait Animation with Controllable Expression. CoRR (2022)
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Implicit Warping for Animation with Image Sets. CoRR (2022)
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. CoRR (2021)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. CoRR (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See through Gradients: Image Batch Recovery via GradInversion. CoRR (2021)
Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik
Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CVPR (2021)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. ICCV (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See Through Gradients: Image Batch Recovery via GradInversion. CVPR (2021)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR (2021)
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. Proc. IEEE 109 (5) (2021)
Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR (2020)
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. CoRR (2020)
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CoRR (2020)
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CVPR (2020)
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
World-Consistent Video-to-Video Synthesis. ECCV (8) (2020)
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
World-Consistent Video-to-Video Synthesis. CoRR (2020)
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
Importance Estimation for Neural Network Pruning. CVPR (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. CoRR (2019)
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CoRR (2019)
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR (2019)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Combining Multiple Cues for Visual Madlibs Question Answering. Int. J. Comput. Vis. 127 (1) (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. ICCV (2019)
Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik
Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. CoRR (2019)
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
Importance Estimation for Neural Network Pruning. CoRR (2019)
Arun Mallya, Svetlana Lazebnik
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CVPR (2018)
Arun Mallya, Svetlana Lazebnik
Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. CoRR (2018)
Arun Mallya, Dillon Davis, Svetlana Lazebnik
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. ECCV (4) (2018)
Arun Mallya, Svetlana Lazebnik
Recurrent Models for Situation Recognition. CoRR (2017)
Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. ICCV (2017)
Arun Mallya, Svetlana Lazebnik
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CoRR (2017)
Arun Mallya, Svetlana Lazebnik
Recurrent Models for Situation Recognition. ICCV (2017)
Arun Mallya, Svetlana Lazebnik
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. CoRR (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving Visual Madlibs with Multiple Cues. CoRR (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving VIsual Madlibs with Multiple Cues. BMVC (2016)
Arun Mallya, Svetlana Lazebnik
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. ECCV (1) (2016)
Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. CoRR (2016)
Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen
Unsupervised network pretraining via encoding human design. WACV (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving Visual Madlibs with Multiple Cues. CoRR (2016)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. CoRR (2015)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. BMVC (2015)
Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen
Unsupervised Deep Network Pretraining via Human Design. CoRR (2015)
Arun Mallya, Svetlana Lazebnik
Learning Informative Edge Maps for Indoor Scene Layout Prediction. ICCV (2015)
Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han
Local Learning for Mining Outlier Subgraphs from Network Datasets. SDM (2014)
Rajib Ranjan Maiti, Arun Mallya, Animesh Mukherjee, Niloy Ganguly
Understanding the Correlation of the Properties of Human movement Patterns. Adv. Complex Syst. 17 (6) (2014)