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Mamshad Nayeem Rizve

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

Oct 12, 2023
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis

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

Sep 15, 2023
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

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Preserving Modality Structure Improves Multi-Modal Learning

Aug 24, 2023
Swetha Sirnam, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah

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

Mar 28, 2023
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah

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Towards Realistic Semi-Supervised Learning

Jul 05, 2022
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

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

Jul 05, 2022
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

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UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning

Apr 05, 2022
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah

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

Mar 01, 2021
Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

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TCLR: Temporal Contrastive Learning for Video Representation

Feb 04, 2021
Ishan Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah

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