| Apricot: A dataset of physical adversarial attacks on object detection A Braunegg, A Chakraborty, M Krumdick, N Lape, S Leary, K Manville, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 54 | 2020 |
| Dual-Key Multimodal Backdoors for Visual Question Answering M Walmer, K Sikka, I Sur, A Shrivastava, S Jha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Teaching Matters: Investigating the Role of Supervision in Vision Transformers M Walmer, S Suri, K Gupta, A Shrivastava Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33 | 2023 |
| TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models I Sur, K Sikka, M Walmer, K Koneripalli, A Roy, X Lin, A Divakaran, S Jha Proceedings of the IEEE/CVF International Conference on Computer Vision, 165-175, 2023 | 6 | 2023 |
| Neuronal activity in human anterior cingulate cortex modulates with internal cognitive state during multi-source interference task S Sklar, M Walmer, P Sacre, CA Schevon, S Srinivasan, GP Banks, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 4 | 2017 |
| LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors S Suri, M Walmer, K Gupta, A Shrivastava arXiv preprint arXiv:2403.14625, 2024 | 2 | 2024 |
| Multi-entity Video Transformers for Fine-Grained Video Representation Learning M Walmer, R Kanjirathinkal, KS Tai, K Muzumdar, T Tian, A Shrivastava arXiv preprint arXiv:2311.10873, 2023 | | 2023 |
