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Mamshad Nayeem Rizve
Mamshad Nayeem Rizve
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Verified email at knights.ucf.edu - Homepage
Title
Cited by
Cited by
Year
In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning
MN Rizve, K Duarte, YS Rawat, M Shah
International Conference on Learning Representations (ICLR), 2021
4962021
TCLR: Temporal Contrastive Learning for Video Representation
I Dave, R Gupta, MN Rizve, M Shah
Computer Vision and Image Understanding, 103406, 2022
1452022
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
MN Rizve, S Khan, FS Khan, M Shah
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1172021
Unicon: Combating Label Noise through Uniform Selection and Contrastive Learning
N Karim, MN Rizve, N Rahnavard, A Mian, M Shah
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
872022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
MN Rizve, N Kardan, S Khan, FS Khan, M Shah
European Conference on Computer Vision (ECCV), 2022
402022
Towards Realistic Semi-Supervised Learning
MN Rizve, N Kardan, M Shah
European Conference on Computer Vision (ECCV), 2022
322022
An automatic bleeding frame and region detection scheme for wireless capsule endoscopy videos based on interplane intensity variation profile in normalized RGB color space
AK Kundu, SA Fattah, MN Rizve
Journal of healthcare engineering 2018, 2018
322018
Gabriella: An online system for real-time activity detection in untrimmed security videos
MN Rizve, U Demir, P Tirupattur, AJ Rana, K Duarte, I Dave, YS Rawat, ...
2020 25th International Conference on Pattern Recognition (ICPR), 4237-4244, 2021
232021
Block based histogram feature extraction method for bleeding detection in wireless capsule endoscopy
T Ghosh, SA Fattah, C Shahnaz, AK Kundu, MN Rizve
TENCON 2015-2015 IEEE Region 10 Conference, 1-4, 2015
192015
In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning. arXiv 2021
MN Rizve, K Duarte, YS Rawat, M Shah
arXiv preprint arXiv:2101.06329, 0
17
A histogram based scheme in YIQ domain for automatic bleeding image detection from wireless capsule endoscopy
AK Kundu, MN Rizve, T Ghosh, SA Fattah, C Shahnaz
2015 IEEE International WIE Conference on Electrical and Computer …, 2015
112015
ECG signal compression using data extraction and truncated singular value decomposition
SS Kabir, MN Rizve, MK Hasan
2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 5-7, 2017
92017
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
IR Dave, MN Rizve, C Chen, M Shah
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.
AJ Rana, P Tirupattur, MN Rizve, K Duarte, U Demir, YS Rawat, M Shah
TRECVID, 2019
82019
Pivotal: Prior-driven supervision for weakly-supervised temporal action localization
MN Rizve, G Mittal, Y Yu, M Hall, S Sajeev, M Shah, M Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
A segmented color plane histogram based feature extraction scheme for automatic bleeding detection in wireless capsule endoscopy
AK Kundu, MN Rizve, T Ghosh, SA Fattah
2016 IEEE Students’ Technology Symposium (TechSym), 245-249, 2016
42016
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
S Samarasinghe, MN Rizve, N Kardan, M Shah
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
S Venkataramanan, MN Rizve, J Carreira, YM Asano, Y Avrithis
International Conference on Learning Representations (ICLR), 2024
12024
SSDA: Secure Source-Free Domain Adaptation
S Ahmed, A Al Arafat, MN Rizve, R Hossain, Z Guo, AS Rakin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Preserving Modality Structure Improves Multi-Modal Learning
S Swetha, MN Rizve, N Shvetsova, H Kuehne, M Shah
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
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