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H. Rahmani

15 papers hereh-index 243.5k citations96 works total

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

author position
  • first author5
  • middle author10

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.DC1
  • eess.IV1
same name
  • H. Rahmani — 47 papers, h 21
  • H. Rahmani — 17 papers, h 24
  • H. Rahmani — 9 papers
  • H. Rahmani — 2 papers
  • H. Rahmani — 1 paper, h 8
  • H. Rahmani — 1 paper, h 7

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
20142023
most citedHuman Action Recognition from Various Data Modalities: A Review

599 citations · 637 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

DiffPose: Toward More Reliable 3D Pose Estimation

Jia Gong, Lin Geng Foo, Zhipeng Fan +3

Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy. On the other hand, diff…

cs.CV2022★ 1 cited

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

Tianjiao Li, Lin Geng Foo, Qiuhong Ke +4

The goal of fine-grained action recognition is to successfully discriminate between action categories with subtle differences. To tackle this, we derive inspiration from the human…

cs.CV2022★ 3 cited

IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition

Yunsheng Pang, Qiuhong Ke, Hossein Rahmani +2

Human interaction recognition is very important in many applications. One crucial cue in recognizing an interaction is the interactive body parts. In this work, we propose a novel…

cs.CV2022★ 1 cited

ERA: Expert Retrieval and Assembly for Early Action Prediction

Lin Geng Foo, Tianjiao Li, Hossein Rahmani +2

Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a challenging task because the beginning stages of diff…

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