Revisiting the" video" in video-language understanding S Buch, C Eyzaguirre, A Gaidon, J Wu, L Fei-Fei, JC Niebles Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 173 | 2022 |
Differentiable adaptive computation time for visual reasoning C Eyzaguirre, A Soto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 19 | 2020 |
Self-supervised learning of representations for space generates multi-modular grid cells R Schaeffer, M Khona, T Ma, C Eyzaguirre, S Koyejo, I Fiete Advances in Neural Information Processing Systems 36, 23140-23157, 2023 | 17 | 2023 |
Hourvideo: 1-hour video-language understanding K Chandrasegaran, A Gupta, LM Hadzic, T Kota, J He, C Eyzaguirre, ... arXiv preprint arXiv:2411.04998, 2024 | 12 | 2024 |
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? R Schaeffer, D Valentine, L Bailey, J Chua, C Eyzaguirre, Z Durante, ... arXiv preprint arXiv:2407.15211, 2024 | 7 | 2024 |
DACT-BERT: Differentiable adaptive computation time for an efficient BERT inference C Eyzaguirre, F del Rio, V Araujo, A Soto arXiv preprint arXiv:2109.11745, 2021 | 5 | 2021 |
DACT-BERT: Increasing the efficiency and interpretability of BERT by using adaptive computation time. C Eyzaguirre, F del Rio, V Araujo, A Soto | 2 | 2020 |
Streaming detection of queried event start C Eyzaguirre, E Tang, S Buch, A Gaidon, J Wu, JC Niebles arXiv preprint arXiv:2412.03567, 2024 | 1 | 2024 |
Ikea manuals at work: 4d grounding of assembly instructions on internet videos Y Liu, C Eyzaguirre, M Li, S Khanna, JC Niebles, V Ravi, S Mishra, W Liu, ... arXiv preprint arXiv:2411.11409, 2024 | 1 | 2024 |
A differentiable adaptive computation time algorithm for neural networks C Eyzaguirre PQDT-Global, 2021 | | 2021 |
Next Item Recommendation using Sequence Embedding and Pairwise Loss C Eyzaguirre, R Skog | | 2018 |
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models R Schaeffer, D Valentine, L Bailey, J Chua, Z Durante, C Eyzaguirre, ... Red Teaming GenAI: What Can We Learn from Adversaries?, 0 | | |