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Name: Mamshad Nayeem Rizve
Type: User
Company: Amazon
Bio: Postdoctoral Scientist
Twitter: MamshadR
Location: United States
Name: Mamshad Nayeem Rizve
Type: User
Company: Amazon
Bio: Postdoctoral Scientist
Twitter: MamshadR
Location: United States
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)
Official code repo for TCLR: Temporal Contrastive Learning for Video Representation [CVIU-2022]
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
Supervised Baseline for UCF-101
Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
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