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researcher

Ran He

25 papers hereh-index 9467 citations28 works total

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

author position
  • middle author9
  • last author14

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.CL3
  • cs.AI1
  • cs.LG1
same name
  • Ran He — 21 papers, h 5
  • Ran He — 17 papers, h 3
  • Ran He — 14 papers, h 17
  • Ran He — 12 papers, h 5
  • Ran He — 11 papers, h 8
  • Ran He — 9 papers, h 9

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
20232026
most citedRMT: Retentive Networks Meet Vision Transformers

16 citations · 24 across the 23 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

Advancing Vision Transformer with Enhanced Spatial Priors

Qihang Fan, Huaibo Huang, Mingrui Chen +2

In recent years, the Vision Transformer (ViT) has garnered significant attention within the computer vision community. However, the core component of ViT, Self-Attention, lacks exp…

cs.CV2026

MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding

Purui Bai, Tao Wu, Jiayang Sun +3

The rapid progress of Large Language Models (LLMs) has spurred growing interest in Multi-modal LLMs (MLLMs) and motivated the development of benchmarks to evaluate their perceptual…

cs.CV2026

Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth

Mingrui Chen, Hexiong Yang, Haogeng Liu +2

In this paper, we present a holistic multimodal benchmark that evaluates the reasoning capabilities of MLLMs with an explicit focus on reasoning width, a complementary dimension to…

cs.CV2026

Random Wins All: Rethinking Grouping Strategies for Vision Tokens

Qihang Fan, Yuang Ai, Huaibo Huang +1

Since Transformers are introduced into vision architectures, their quadratic complexity has always been a significant issue that many research efforts aim to address. A representat…

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