| Packnet: Adding multiple tasks to a single network by iterative pruning A Mallya, S Lazebnik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 165 | 2017 |
| Piggyback: Adapting a single network to multiple tasks by learning to mask weights A Mallya, D Davis, S Lazebnik Proceedings of the European Conference on Computer Vision, 2018, 2018 | 132* | 2018 |
| Phrase localization and visual relationship detection with comprehensive image-language cues BA Plummer, A Mallya, CM Cervantes, J Hockenmaier, S Lazebnik Proceedings of the IEEE International Conference on Computer Vision, 2017, 2017 | 122 | 2017 |
| Few-shot unsupervised image-to-image translation MY Liu, X Huang, A Mallya, T Karras, T Aila, J Lehtinen, J Kautz Proceedings of the IEEE International Conference on Computer Vision, 2019, 2019 | 121 | 2019 |
| Learning informative edge maps for indoor scene layout prediction A Mallya, S Lazebnik Proceedings of the IEEE International Conference on Computer Vision, 2015, 2015 | 84 | 2015 |
| Learning models for actions and person-object interactions with transfer to question answering A Mallya, S Lazebnik Proceedings of the European Conference on Computer Vision, 2016, 2016 | 83 | 2016 |
| Importance Estimation for Neural Network Pruning P Molchanov, A Mallya, S Tyree, I Frosio, J Kautz Proceedings of the IEEE International Conference on Computer Vision, 2019, 2019 | 80 | 2019 |
| Part localization using multi-proposal consensus for fine-grained categorization KJ Shih, A Mallya, S Singh, D Hoiem Proceedings of the British Machine Vision Conference, 2015, 2015 | 34 | 2015 |
| Local learning for mining outlier subgraphs from network datasets M Gupta, A Mallya, S Roy, HDC Jason, J Han SIAM International Conference on Data Mining 2014, SDM 2014, 2014 | 33 | 2014 |
| Dreaming to distill: Data-free knowledge transfer via DeepInversion H Yin, P Molchanov, JM Alvarez, Z Li, A Mallya, D Hoiem, NK Jha, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 23 | 2020 |
| Recurrent models for situation recognition A Mallya, S Lazebnik Proceedings of the IEEE International Conference on Computer Vision, 2017, 2017 | 16 | 2017 |
| Solving Visual Madlibs with Multiple Cues T Tommasi, A Mallya, B Plummer, S Lazebnik, AC Berg, TL Berg Proceedings of the British Machine Vision Conference, 2016, 2016 | 15 | 2016 |
| Combining multiple cues for visual madlibs question answering T Tommasi, A Mallya, B Plummer, S Lazebnik, AC Berg, TL Berg International Journal of Computer Vision 127 (1), 38-60, 2019 | 8 | 2019 |
| Unsupervised network pretraining via encoding human design MY Liu, A Mallya, O Tuzel, X Chen 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 6 | 2016 |
| Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation ZS Hung, A Mallya, S Lazebnik IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 5 | 2020 |
| World-Consistent Video-to-Video Synthesis A Mallya, TC Wang, K Sapra, MY Liu Proceedings of the European Conference on Computer Vision, 2020, 2020 | 2 | 2020 |
| UNAS: Differentiable Architecture Search Meets Reinforcement Learning A Vahdat, A Mallya, MY Liu, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 2 | 2020 |
| Some RNN Variants A Mallya | 2 | 2017 |
| Understanding the correlation of the properties of human movement patterns RR Maiti, A Mallya, A Mukherjee, N Ganguly Advances in Complex Systems 17 (06), 1450019, 2014 | 1 | 2014 |
| Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications MY Liu, X Huang, J Yu, TC Wang, A Mallya arXiv preprint arXiv:2008.02793, 2020 | | 2020 |
Svetlana LazebnikUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
