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ORCIDMamshad Nayeem Rizve
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Journal Articles
- 2022
[j1]Ishan R. Dave
, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah:
TCLR: Temporal contrastive learning for video representation. Comput. Vis. Image Underst. 219: 103406 (2022)
Conference and Workshop Papers
- 2024
- [c16]Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi:
VidLA: Video-Language Alignment at Scale. CVPR 2024: 14043-14055 - [c15]Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah:
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs. ECCV (6) 2024: 146-162 - [c14]Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi:
Open Vocabulary Multi-label Video Classification. ECCV (39) 2024: 276-293 - [c13]Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis:
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. ICLR 2024 - 2023
- [c12]Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah:
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition. CVPR 2023: 2341-2352 - [c11]Mamshad Nayeem Rizve, Gaurav Mittal, Ye Yu, Matthew Hall, Sandra Sajeev, Mubarak Shah, Mei Chen:
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization. CVPR 2023: 22992-23002 - [c10]Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. ICCV 2023: 11609-11618 - [c9]Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin:
SSDA: Secure Source-Free Domain Adaptation. ICCV 2023: 19123-19133 - [c8]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. ICCV 2023: 21936-21946 - 2022
- [c7]Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CVPR 2022: 9666-9676 - [c6]Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) 2022: 382-401 - [c5]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-supervised Learning. ECCV (31) 2022: 437-455 - 2021
- [c4]Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CVPR 2021: 10836-10846 - [c3]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. ICLR 2021 - 2020
- [c2]Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah:
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos. ICPR 2020: 4237-4244 - 2019
- [c1]Aayush Jung Rana, Praveen Tirupattur, Mamshad Nayeem Rizve, Kevin Duarte, Ugur Demir, Yogesh S. Rawat, Mubarak Shah:
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. TRECVID 2019
Informal and Other Publications
- 2024
- [i16]Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi:
VidLA: Video-Language Alignment at Scale. CoRR abs/2403.14870 (2024) - [i15]Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi:
Open Vocabulary Multi-Label Video Classification. CoRR abs/2407.09073 (2024) - [i14]Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah:
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs. CoRR abs/2407.13851 (2024) - [i13]Manu S. Pillai, Mamshad Nayeem Rizve, Mubarak Shah:
GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers. CoRR abs/2408.02840 (2024) - [i12]Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Mubarak Shah:
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition. CoRR abs/2409.01448 (2024) - 2023
- [i11]Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah:
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition. CoRR abs/2303.16268 (2023) - [i10]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. CoRR abs/2308.13077 (2023) - [i9]Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. CoRR abs/2309.03989 (2023) - [i8]Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis:
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. CoRR abs/2310.08584 (2023) - 2022
- [i7]Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah:
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CoRR abs/2203.14542 (2022) - [i6]Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR abs/2207.02261 (2022) - [i5]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-Supervised Learning. CoRR abs/2207.02269 (2022) - 2021
- [i4]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. CoRR abs/2101.06329 (2021) - [i3]Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah:
TCLR: Temporal Contrastive Learning for Video Representation. CoRR abs/2101.07974 (2021) - [i2]Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CoRR abs/2103.01315 (2021) - 2020
- [i1]Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah:
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. CoRR abs/2004.11475 (2020)
Coauthor Index
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