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Muhammad Awais

22 papers hereh-index 232.8k citations71 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author17

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.LG4
  • cs.SD1
same name
  • Muhammad Awais — 21 papers, h 7
  • Muhammad Awais — 8 papers, h 4
  • Muhammad Awais — 6 papers, h 3
  • Muhammad Awais — 5 papers, h 5
  • Muhammad Awais — 3 papers, h 3
  • Muhammad Awais — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedMedical Image Retrieval using Deep Convolutional Neural Network

446 citations · 763 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition

Cong Wu, Xiao-Jun Wu, Josef Kittler +4

Contrastive learning has achieved great success in skeleton-based action recognition. However, most existing approaches encode the skeleton sequences as entangled spatiotemporal re…

cs.CV2023

Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding

Jiantao Wu, Shentong Mo, Muhammad Awais +3

Self-supervised pretraining (SSP) has emerged as a popular technique in machine learning, enabling the extraction of meaningful feature representations without labelled data. In th…

cs.CV2023

FROD: Robust Object Detection for Free

Muhammad, Awais, Weiming +5

Object detection is a vital task in computer vision and has become an integral component of numerous critical systems. However, state-of-the-art object detectors, similar to their…

cs.CV2023★ 68 cited

Foundational Models Defining a New Era in Vision: A Survey and Outlook

Muhammad Awais, Muzammal Naseer, Salman Khan +5

Vision systems to see and reason about the compositional nature of visual scenes are fundamental to understanding our world. The complex relations between objects and their locatio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.