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 (TRECVID, 2019)

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 (ICPR, 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)

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. - Mamshad Nayeem Rizve; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 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 (ICLR, 2021)

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. - Nazmul Karim; Mamshad Nayeem Rizve; Nazanin Rahnavard; Ajmal Mian; Mubarak Shah (CVPR, 2022)

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. - Mamshad Nayeem Rizve; Navid Kardan; Salman Khan 001; Fahad Shahbaz Khan; Mubarak Shah (ECCV (31), 2022)

Towards Realistic Semi-supervised Learning. - Mamshad Nayeem Rizve; Navid Kardan; Mubarak Shah (ECCV (31), 2022)

TCLR: Temporal contrastive learning for video representation. - Ishan R. Dave; Rohit Gupta 012; Mamshad Nayeem Rizve; Mubarak Shah (Comput. Vis. Image Underst., 2022)

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition. - Ishan Rajendrakumar Dave; Mamshad Nayeem Rizve; Chen Chen 001; Mubarak Shah (CVPR, 2023)

PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization. - Mamshad Nayeem Rizve; Gaurav Mittal; Ye Yu 003; Matthew Hall; Sandra Sajeev; Mubarak Shah; Mei Chen (CVPR, 2023)

SSDA: Secure Source-Free Domain Adaptation. - Sabbir Ahmed; Abdullah Al Arafat; Mamshad Nayeem Rizve; Rahim Hossain; Zhishan Guo; Adnan Siraj Rakin (ICCV, 2023)

CDFSL-V: Cross-Domain Few-Shot Learning for Videos. - Sarinda Samarasinghe; Mamshad Nayeem Rizve; Navid Kardan; Mubarak Shah (ICCV, 2023)

Preserving Modality Structure Improves Multi-Modal Learning. - Sirnam Swetha; Mamshad Nayeem Rizve; Nina Shvetsova; Hilde Kuehne; Mubarak Shah (ICCV, 2023)

VidLA: Video-Language Alignment at Scale. - Mamshad Nayeem Rizve; Fan Fei 002; Jayakrishnan Unnikrishnan; Son Tran; Benjamin Z. Yao; Belinda Zeng; Mubarak Shah; Trishul Chilimbi (CVPR, 2024)

FinePseudo: Improving Pseudo-labelling Through Temporal-Alignablity for Semi-supervised Fine-Grained Action Recognition. - Ishan Rajendrakumar Dave; Mamshad Nayeem Rizve; Mubarak Shah (ECCV (8), 2024)

Open Vocabulary Multi-label Video Classification. - Rohit Gupta 012; Mamshad Nayeem Rizve; Jayakrishnan Unnikrishnan; Ashish Tawari; Son Tran; Mubarak Shah; Benjamin Z. Yao; Trishul Chilimbi (ECCV (39), 2024)

GAReT: Cross-View Video Geolocalization with Adapters and Auto-Regressive Transformers. - Manu S. Pillai; Mamshad Nayeem Rizve; Mubarak Shah (ECCV (61), 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 (ECCV (6), 2024)

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. - Shashanka Venkataramanan; Mamshad Nayeem Rizve; João Carreira 001; Yuki M. Asano; Yannis Avrithis (ICLR, 2024)

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge. - Sabbir Ahmed; Abdullah Al Arafat; Deniz Najafi; Akhlak Mahmood; Mamshad Nayeem Rizve; Mohaiminul Al Nahian; Ranyang Zhou; Shaahin Angizi; Adnan Siraj Rakin (CVPR, 2025)

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains. - Sabbir Ahmed; Mamshad Nayeem Rizve; Abdullah Al Arafat; Jacqueline T. Liu; Rahim Hossain; Mohaiminul Al Nahian; Adnan Siraj Rakin (CoRR, 2025)