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F. Khan

4 papers here

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • F. Khan — 118 papers, h 11
  • F. Khan — 65 papers, h 96
  • F. Khan — 60 papers, h 25
  • F. Khan — 36 papers, h 10
  • F. Khan — 19 papers, h 16
  • F. Khan — 13 papers, h 11

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

most citedSemi-supervised Open-World Object Detection

12 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 12 cited

Semi-supervised Open-World Object Detection

Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer +2

Conventional open-world object detection (OWOD) problem setting first distinguishes known and unknown classes and then later incrementally learns the unknown objects when introduce…

cs.CV2023

3D Indoor Instance Segmentation in an Open-World

Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud +4

Existing 3D instance segmentation methods typically assume that all semantic classes to be segmented would be available during training and only seen categories are segmented at in…

cs.CV2023

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

Nian Liu, Kepan Nan, Wangbo Zhao +7

Few-Shot Video Object Segmentation (FSVOS) aims to segment objects in a query video with the same category defined by a few annotated support images. However, this task was seldom…

cs.CV2023

A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Chao Qin, Jiale Cao, Huazhu Fu +2

Detecting breast lesion in videos is crucial for computer-aided diagnosis. Existing video-based breast lesion detection approaches typically perform temporal feature aggregation of…

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