Mamshad Nayeem Rizve

According to our database, Mamshad Nayeem Rizve authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers.

Manu S. Pillai, Mamshad Nayeem Rizve, Mubarak Shah

CoRR, 2024

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.

Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.

Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2024, 2024

Open Vocabulary Multi-label Video Classification.

Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi

Proceedings of the Computer Vision - ECCV 2024, 2024

FinePseudo: Improving Pseudo-labelling Through Temporal-Alignablity for Semi-supervised Fine-Grained Action Recognition.

Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2024, 2024

VidLA: Video-Language Alignment at Scale.

Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Preserving Modality Structure Improves Multi-Modal Learning.

Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CDFSL-V: Cross-Domain Few-Shot Learning for Videos.

Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SSDA: Secure Source-Free Domain Adaptation.

Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization.

Mamshad Nayeem Rizve, Gaurav Mittal, Ye Yu, Matthew Hall, Sandra Sajeev, Mubarak Shah, Mei Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition.

Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TCLR: Temporal contrastive learning for video representation.

Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah

Comput. Vis. Image Underst., 2022

Towards Realistic Semi-supervised Learning.

Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2022, 2022

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning.

Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2022, 2022

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning.

Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.

Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah

Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning.

Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.

Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah

CoRR, 2020

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos.

Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.

Aayush Jung Rana, Praveen Tirupattur, Mamshad Nayeem Rizve, Kevin Duarte, Ugur Demir, Yogesh S. Rawat, Mubarak Shah

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019