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Xin Tan

6 papers hereh-index 4150 citations7 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV6
same name
  • Xin Tan — 39 papers, h 13
  • Xin Tan — 11 papers, h 3
  • Xin Tan — 10 papers, h 26
  • Xin Tan — 7 papers, h 3
  • Xin Tan — 6 papers, h 7
  • Xin Tan — 5 papers, h 5

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 citedEfficient Multimodal Large Language Models: A Survey

32 citations · 33 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation

Ke Fan, Jiangning Zhang, Ran Yi +6

Text-to-motion generation is a crucial task in computer vision, which generates the target 3D motion by the given text. The existing annotated datasets are limited in scale, result…

cs.CV2024

AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting

Yizhe Tang, Yue Wang, Teng Hu +5

Stroke-based Rendering (SBR) aims to decompose an input image into a sequence of parameterized strokes, which can be rendered into a painting that resembles the input image. Recent…

cs.CV2024

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description

Yizhang Jin, Jian Li, Jiangning Zhang +7

Visual Spatial Description (VSD) aims to generate texts that describe the spatial relationships between objects within images. Traditional visual spatial relationship classificatio…

cs.CV2024★ 32 cited

Efficient Multimodal Large Language Models: A Survey

Yizhang Jin, Jian Li, Yexin Liu +10

In the past year, Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in tasks such as visual question answering, visual understanding and reasoning.…

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