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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 2020Show all

4 papers · 1 filter

cs.CV2020

A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation

Ali Akbari, Muhammad Awais, Zhen-Hua Feng +2

The most existing studies in the facial age estimation assume training and test images are captured under similar shooting conditions. However, this is rarely valid in real-world a…

cs.LG2020★ 8 cited

Deep Convolutional Neural Network Ensembles using ECOC

Sara Atito Ali Ahmed, Cemre Zor, Berrin Yanikoglu +2

Deep neural networks have enhanced the performance of decision making systems in many applications including image understanding, and further gains can be achieved by constructing…

cs.LG2020★ 18 cited

Towards an Adversarially Robust Normalization Approach

Muhammad Awais, Fahad Shamshad, Sung-Ho Bae

Batch Normalization (BatchNorm) is effective for improving the performance and accelerating the training of deep neural networks. However, it has also shown to be a cause of advers…

cs.CV2020★ 3 cited

A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions

Ammarah Farooq, Muhammad Awais, Fei Yan +3

Classical person re-identification approaches assume that a person of interest has appeared across different cameras and can be queried by one of the existing images. However, in r…

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