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M. H. Khan

18 papers hereh-index 191.5k citations47 works total

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

author position
  • first author1
  • middle author13
  • last author4

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV18
same name
  • M. H. Khan — 1 paper, h 1
  • M. H. Khan — 1 paper, h 0

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
20182023
most citedMask-Guided Attention Network for Occluded Pedestrian Detection

36 citations · 81 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 24 cited

Deep Contextual Attention for Human-Object Interaction Detection

Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan +4

Human-object interaction detection is an important and relatively new class of visual relationship detection tasks, essential for deeper scene understanding. Most existing approach…

cs.CV2019★ 36 cited

Mask-Guided Attention Network for Occluded Pedestrian Detection

Yanwei Pang, Jin Xie, Muhammad Haris Khan +3

Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance…

cs.CV2019

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

Muhammad Haris Khan, John McDonagh, Salman Khan +5

Being heavily reliant on animals, it is our ethical obligation to improve their well-being by understanding their needs. Several studies show that animal needs are often expressed…

cs.CV2019

Cross-Domain Transferability of Adversarial Perturbations

Muzammal Naseer, Salman H. Khan, Harris Khan +2

Adversarial examples reveal the blind spots of deep neural networks (DNNs) and represent a major concern for security-critical applications. The transferability of adversarial exam…

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