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Mubarak Shah

7 papers hereh-index 4137 citations6 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI1
same name
  • Mubarak Shah — 15 papers, h 6
  • Mubarak Shah — 15 papers, h 7
  • Mubarak Shah — 13 papers, h 9
  • Mubarak Shah — 11 papers, h 5
  • Mubarak Shah — 11 papers, h 3
  • Mubarak Shah — 9 papers, h 4

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
20242026
most citedIntent3D: 3D Object Detection in RGB-D Scans Based on Human Intention

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning

Weitai Kang, Haifeng Huang, Yuzhang Shang +2

Recent advancements in 3D Large Language Models (3DLLMs) have highlighted their potential in building general-purpose agents in the 3D real world, yet challenges remain due to the…

cs.CV2024

SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding

Weitai Kang, Gaowen Liu, Mubarak Shah +1

Different from Object Detection, Visual Grounding deals with detecting a bounding box for each text-image pair. This one box for each text-image data provides sparse supervision si…

cs.CV2024★ 1 cited

Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention

Weitai Kang, Mengxue Qu, Jyoti Kini +3

In real-life scenarios, humans seek out objects in the 3D world to fulfill their daily needs or intentions. This inspires us to introduce 3D intention grounding, a new task in 3D o…

cs.CV2024

PTQ4DiT: Post-training Quantization for Diffusion Transformers

Junyi Wu, Haoxuan Wang, Yuzhang Shang +2

The recent introduction of Diffusion Transformers (DiTs) has demonstrated exceptional capabilities in image generation by using a different backbone architecture, departing from tr…

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