Arun Mallya

According to our database, Arun Mallya authored at least 34 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SPACE: Speech-driven Portrait Animation with Controllable Expression.

Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SPACEx: Speech-driven Portrait Animation with Controllable Expression.

Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu

CoRR, 2022

Implicit Warping for Animation with Image Sets.

Arun Mallya, Ting-Chun Wang, Ming-Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Implicit Neural Representations with Levels-of-Experts.

Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Conditional Image Synthesis with Product-of-Experts GANs.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

A-ViT: Adaptive Tokens for Efficient Vision Transformer.

Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

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

Proc. IEEE, 2021

Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation.

Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik

IEEE Trans. Pattern Anal. Mach. Intell., 2021

AdaViT: Adaptive Tokens for Efficient Vision Transformer.

Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

CoRR, 2021

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds.

Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

See Through Gradients: Image Batch Recovery via GradInversion.

Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Ting-Chun Wang, Arun Mallya, Ming-Yu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

World-Consistent Video-to-Video Synthesis.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion.

Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

UNAS: Differentiable Architecture Search Meets Reinforcement Learning.

Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Combining Multiple Cues for Visual Madlibs Question Answering.

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg

Int. J. Comput. Vis., 2019

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

Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik

CoRR, 2019

Few-Shot Unsupervised Image-to-Image Translation.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Importance Estimation for Neural Network Pruning.

Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning and adapting visual models for multiple specialized tasks

Arun Mallya

PhD thesis, 2018

Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask.

Arun Mallya, Svetlana Lazebnik

CoRR, 2018

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

Arun Mallya, Dillon Davis, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Arun Mallya, Svetlana Lazebnik

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

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

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Models for Situation Recognition.

Arun Mallya, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues.

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

CoRR, 2016

Unsupervised network pretraining via encoding human design.

Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

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

Arun Mallya, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2016, 2016

Solving VIsual Madlibs with Multiple Cues.

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Unsupervised Deep Network Pretraining via Human Design.

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

CoRR, 2015

Learning Informative Edge Maps for Indoor Scene Layout Prediction.

Arun Mallya, Svetlana Lazebnik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Understanding the Correlation of the Properties of Human movement Patterns.

Rajib Ranjan Maiti, Arun Mallya, Animesh Mukherjee, Niloy Ganguly

Adv. Complex Syst., 2014

Local Learning for Mining Outlier Subgraphs from Network Datasets.

Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014