Mamshad Nayeem Rizve

39 papers A* 11B 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation.
CoRR
Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve, Chengyuan Xu, Ratheesh Kalarot, Junsong Yuan
2025 A* conf
DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge.
CVPR
Sabbir Ahmed, Abdullah Al Arafat, Deniz Najafi, Akhlak Mahmood, Mamshad Nayeem Rizve, Mohaiminul Al Nahian, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin
2025 J jnl
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation.
CoRR
Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz
2025 J jnl
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains.
CoRR
Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat, Jacqueline T. Liu, Rahim Hossain, Mohaiminul Al Nahian, Adnan Siraj Rakin
2024 J jnl
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition.
CoRR
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Mubarak Shah
2024 — conf
FinePseudo: Improving Pseudo-labelling Through Temporal-Alignablity for Semi-supervised Fine-Grained Action Recognition.
ECCV (8)
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Mubarak Shah
2024 — conf
GAReT: Cross-View Video Geolocalization with Adapters and Auto-Regressive Transformers.
ECCV (61)
Manu S. Pillai, Mamshad Nayeem Rizve, Mubarak Shah
2024 J jnl
GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers.
CoRR
Manu S. Pillai, Mamshad Nayeem Rizve, Mubarak Shah
2024 A* conf
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.
ICLR
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
2024 J jnl
Open Vocabulary Multi-Label Video Classification.
CoRR
Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi
2024 — conf
Open Vocabulary Multi-label Video Classification.
ECCV (39)
Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi
2024 A* conf
VidLA: Video-Language Alignment at Scale.
CVPR
Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2024 J jnl
VidLA: Video-Language Alignment at Scale.
CoRR
Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2024 — conf
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.
ECCV (6)
Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah
2024 J jnl
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.
CoRR
Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah
2023 A* conf
CDFSL-V: Cross-Domain Few-Shot Learning for Videos.
ICCV
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2023 J jnl
CDFSL-V: Cross-Domain Few-Shot Learning for Videos.
CoRR
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2023 J jnl
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.
CoRR
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
2023 A* conf
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization.
CVPR
Mamshad Nayeem Rizve, Gaurav Mittal, Ye Yu, Matthew Hall, Sandra Sajeev, Mubarak Shah, Mei Chen
2023 A* conf
Preserving Modality Structure Improves Multi-Modal Learning.
ICCV
Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023 J jnl
Preserving Modality Structure Improves Multi-Modal Learning.
CoRR
Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023 A* conf
SSDA: Secure Source-Free Domain Adaptation.
ICCV
Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin
2023 A* conf
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition.
CVPR
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah
2023 J jnl
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition.
CoRR
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah
2022 — conf
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning.
ECCV (31)
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
2022 J jnl
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning.
CoRR
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
2022 J jnl
TCLR: Temporal contrastive learning for video representation.
Comput. Vis. Image Underst.
Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah
2022 J jnl
Towards Realistic Semi-Supervised Learning.
CoRR
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2022 — conf
Towards Realistic Semi-supervised Learning.
ECCV (31)
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2022 A* conf
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning.
CVPR
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
2022 J jnl
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning.
CoRR
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
2021 A* conf
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning.
CVPR
Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah
2021 J jnl
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning.
CoRR
Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah
2021 A* conf
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.
ICLR
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
2021 J jnl
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.
CoRR
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
2021 J jnl
TCLR: Temporal Contrastive Learning for Video Representation.
CoRR
Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah
2020 B conf
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos.
ICPR
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah
2020 J jnl
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.
CoRR
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah
2019 — conf
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.
TRECVID
Aayush Jung Rana, Praveen Tirupattur, Mamshad Nayeem Rizve, Kevin Duarte, Ugur Demir, Yogesh S. Rawat, Mubarak Shah