Mamshad Nayeem Rizve

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Video Representation

Manifold Regularization

Graph Transduction

Top Venues

Publications

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 (2024)
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)
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 (2024)
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 (2024)
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 (2023)
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. CoRR (2023)
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. ICCV (2023)
Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin
SSDA: Secure Source-Free Domain Adaptation. ICCV (2023)
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)
Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
Preserving Modality Structure Improves Multi-Modal Learning. CoRR (2023)
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)
Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
Preserving Modality Structure Improves Multi-Modal Learning. ICCV (2023)
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition. CoRR (2023)
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
Towards Realistic Semi-Supervised Learning. CoRR (2022)
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 (2022)
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
Towards Realistic Semi-supervised Learning. ECCV (31) (2022)
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CoRR (2022)
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)
Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah
TCLR: Temporal contrastive learning for video representation. Comput. Vis. Image Underst. 219 (2022)
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. CVPR (2022)
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)
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh Singh Rawat, Mubarak Shah
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. ICLR (2021)
Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah
TCLR: Temporal Contrastive Learning for Video Representation. CoRR (2021)
Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CoRR (2021)
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh Singh Rawat, Mubarak Shah
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. CoRR (2021)
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh Singh Rawat, Mubarak Shah
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. CoRR (2020)
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh Singh Rawat, Mubarak Shah
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos. ICPR (2020)
Aayush Jung Rana, Praveen Tirupattur, Mamshad Nayeem Rizve, Kevin Duarte, Ugur Demir, Yogesh Singh Rawat, Mubarak Shah
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. TRECVID (2019)