Follow
Merey Ramazanova
Merey Ramazanova
Verified email at kaust.edu.sa
Title
Cited by
Cited by
Year
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
5172022
SeedQuant: a deep learning-based tool for assessing stimulant and inhibitor activity on root parasitic seeds
J Braguy, M Ramazanova, S Giancola, M Jamil, BA Kountche, R Zarban, ...
Plant physiology 186 (3), 1632-1644, 2021
272021
Owl (observe, watch, listen): Audiovisual temporal context for localizing actions in egocentric videos
M Ramazanova, V Escorcia, F Caba, C Zhao, B Ghanem
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
17*2023
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ...
arXiv preprint arXiv:2311.18259, 2023
132023
Segtad: Precise temporal action detection via semantic segmentation
C Zhao, M Ramazanova, M Xu, B Ghanem
European Conference on Computer Vision, 576-593, 2022
62022
Revisiting test time adaptation under online evaluation
M Alfarra, H Itani, A Pardo, S Alhuwaider, M Ramazanova, JC Pérez, ...
arXiv preprint arXiv:2304.04795, 2023
52023
Just a glimpse: Rethinking temporal information for video continual learning
L Alssum, JL Alcazar, M Ramazanova, C Zhao, B Ghanem
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
SeedQuant: A Deep Learning-based Census Tool for Seed Germination of Root Parasitic Plants
M Ramazanova
22020
Exploring Missing Modality in Multimodal Egocentric Datasets
M Ramazanova, A Pardo, H Alwassel, B Ghanem
arXiv preprint arXiv:2401.11470, 2024
2024
MotasemAlfarra/Online_Test_Time_Adaptation: Revisiting Test Time Adaptation Under Online Evaluation
M Alfarra, H Itani, A Pardo, SY Alhuwaider, M Ramazanova, JC Pérez, ...
Github, 2023
2023
Improve Baseline for Temporal Action Detection: HACS Challenge 2020 Solution of IVUL-KAUST team
M Xu, C Zhao, M Ramazanova, DS Rojas, A Thabet, B Ghanem
Logistic Regression is Still Alive and Effective: The 3rd YouTube 8M Challenge Solution of the IVUL-KAUST team
M Ramazanova, C Zhao, M Xu, H Alwassel, SR Martinez, F Caba, ...
The system can't perform the operation now. Try again later.
Articles 1–12