Local Learning for Mining Outlier Subgraphs from Network Datasets. - Manish Gupta 001; Arun Mallya; Subhro Roy; Jason H. D. Cho; Jiawei Han 001 (SDM, 2014)

Understanding the Correlation of the Properties of Human movement Patterns. - Rajib Ranjan Maiti; Arun Mallya; Animesh Mukherjee 001; Niloy Ganguly (Adv. Complex Syst., 2014)

Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. - Kevin J. Shih; Arun Mallya; Saurabh Singh 005; Derek Hoiem (BMVC, 2015)

Learning Informative Edge Maps for Indoor Scene Layout Prediction. - Arun Mallya; Svetlana Lazebnik (ICCV, 2015)

Unsupervised Deep Network Pretraining via Human Design. - Ming-Yu Liu 001; Arun Mallya; Oncel C. Tuzel; Xi Chen (CoRR, 2015)

Solving VIsual Madlibs with Multiple Cues. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (BMVC, 2016)

Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. - Arun Mallya; Svetlana Lazebnik (ECCV (1), 2016)

Unsupervised network pretraining via encoding human design. - Ming-Yu Liu 001; Arun Mallya; Oncel Tuzel; Xi Chen (WACV, 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)

Recurrent Models for Situation Recognition. - Arun Mallya; Svetlana Lazebnik (ICCV, 2017)

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (ICCV, 2017)

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. - Arun Mallya; Svetlana Lazebnik (CVPR, 2018)

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. - Arun Mallya; Dillon Davis; Svetlana Lazebnik (ECCV (4), 2018)

Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. - Arun Mallya; Svetlana Lazebnik (CoRR, 2018)

Learning and adapting visual models for multiple specialized tasks - Arun Mallya (2018)

Importance Estimation for Neural Network Pruning. - Pavlo Molchanov 001; Arun Mallya; Stephen Tyree; Iuri Frosio; Jan Kautz (CVPR, 2019)

Few-Shot Unsupervised Image-to-Image Translation. - Ming-Yu Liu 001; Xun Huang; Arun Mallya; Tero Karras; Timo Aila; Jaakko Lehtinen; Jan Kautz (ICCV, 2019)

Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. - Zih-Siou Hung; Arun Mallya; Svetlana Lazebnik (CoRR, 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)

UNAS: Differentiable Architecture Search Meets Reinforcement Learning. - Arash Vahdat; Arun Mallya; Ming-Yu Liu 001; Jan Kautz (CVPR, 2020)

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. - Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004; Zhizhong Li 001; Arun Mallya; Derek Hoiem; Niraj K. Jha; Jan Kautz (CVPR, 2020)

World-Consistent Video-to-Video Synthesis. - Arun Mallya; Ting-Chun Wang; Karan Sapra; Ming-Yu Liu 001 (ECCV (8), 2020)

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. - Ting-Chun Wang; Arun Mallya; Ming-Yu Liu 001 (CVPR, 2021)

See Through Gradients: Image Batch Recovery via GradInversion. - Hongxu Yin; Arun Mallya; Arash Vahdat; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2021)

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. - Zekun Hao; Arun Mallya; Serge J. Belongie; Ming-Yu Liu 001 (ICCV, 2021)

AdaViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CoRR, 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)

Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. - Ming-Yu Liu 001; Xun Huang; Jiahui Yu; Ting-Chun Wang; Arun Mallya (Proc. IEEE, 2021)

A-ViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2022)

Multimodal Conditional Image Synthesis with Product-of-Experts GANs. - Xun Huang; Arun Mallya; Ting-Chun Wang; Ming-Yu Liu 001 (ECCV (16), 2022)

Implicit Neural Representations with Levels-of-Experts. - Zekun Hao; Arun Mallya; Serge J. Belongie; Ming-Yu Liu 001 (NeurIPS, 2022)

Implicit Warping for Animation with Image Sets. - Arun Mallya; Ting-Chun Wang; Ming-Yu Liu 001 (NeurIPS, 2022)

SPACEx: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (CoRR, 2022)

SPACE: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (ICCV, 2023)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)