| Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation E Vanmassenhove, D Shterionov, M Gwilliam arXiv preprint arXiv:2102.00287, 2021 | 110 | 2021 |
| Hnerv: A hybrid neural representation for videos H Chen, M Gwilliam, SN Lim, A Shrivastava Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 68 | 2023 |
| Diffusion models beat gans on image classification S Mukhopadhyay, M Gwilliam, V Agarwal, N Padmanabhan, ... arXiv preprint arXiv:2307.08702, 2023 | 42 | 2023 |
| Rethinking common assumptions to mitigate racial bias in face recognition datasets M Gwilliam, S Hegde, L Tinubu, A Hanson Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 37 | 2021 |
| Cnerv: Content-adaptive neural representation for visual data H Chen, M Gwilliam, B He, SN Lim, A Shrivastava arXiv preprint arXiv:2211.10421, 2022 | 25 | 2022 |
| Beyond supervised vs. unsupervised: Representative benchmarking and analysis of image representation learning M Gwilliam, A Shrivastava Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Fair comparison: Quantifying variance in results for fine-grained visual categorization M Gwilliam, A Teuscher, C Anderson, R Farrell Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 17 | 2021 |
| Facing the hard problems in fgvc CS Anderson Brigham Young University, 2020 | 8 | 2020 |
| Do text-free diffusion models learn discriminative visual representations? S Mukhopadhyay, M Gwilliam, Y Yamaguchi, V Agarwal, ... European Conference on Computer Vision, 253-272, 2024 | 6 | 2024 |
| Intelligent image collection: Building the optimal dataset M Gwilliam, R Farrell Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 3 | 2020 |
| Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions N Padmanabhan, M Gwilliam, P Kumar, SR Maiya, M Ehrlich, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition C Anderson, M Gwilliam, E Gaskin, R Farrell Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Accelerate High-Quality Diffusion Models with Inner Loop Feedback M Gwilliam, H Cai, D Wu, A Shrivastava, Z Cheng | | 2025 |
| NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields E Zhu, M Levy, M Gwilliam, A Shrivastava arXiv preprint arXiv:2411.02482, 2024 | | 2024 |
| Quantifying NBA Shot Quality: A Deep Network Approach AR Kambhamettu, A Shrivastava, M Gwilliam Proceedings of the 7th ACM International Workshop on Multimedia Content …, 2024 | | 2024 |
| Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics SR Maiya, A Gupta, M Gwilliam, M Ehrlich, A Shrivastava European Conference on Computer Vision, 285-302, 2024 | | 2024 |
| A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval M Gwilliam, M Cogswell, M Ye, K Sikka, A Shrivastava, A Divakaran arXiv preprint arXiv:2312.00115, 2023 | | 2023 |
| Multimodal Understanding using Stable-Diffusion as a Task Aware Feature Extractor V Agarwal, G Kohavi, M Gwilliam, E Verma, D Ulbricht, A Shrivastava | | |
| Industry Perspectives on Offensive Security Tooling K DeValk, M Gwilliam, T Hanson, M Harrity, M Mazurek | | |
Abhinav ShrivastavaAssociate Professor, University of Maryland, College ParkBestätigte E-Mail-Adresse bei cs.umd.edu