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Lan Wang

6 papers hereh-index 390 citations7 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
  • cs.LG1
same name
  • Lan Wang — 17 papers, h 23
  • Lan Wang — 14 papers, h 28
  • Lan Wang — 13 papers, h 4
  • Lan Wang — 10 papers, h 3
  • Lan Wang — 9 papers, h 15
  • Lan Wang — 7 papers, h 3

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 citedMing-Omni: A Unified Multimodal Model for Perception and Generation

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs

Liu Yu, Zhonghao Chen, Ping Kuang +4

Object hallucination remains a critical challenge in Large Vision-Language Models (LVLMs), where models generate content inconsistent with visual inputs. Existing language-decoder…

cs.CV2025

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Inclusion AI, :, Bowen Ma +73

We propose Ming-Flash-Omni, an upgraded version of Ming-Omni, built upon a sparser Mixture-of-Experts (MoE) variant of Ling-Flash-2.0 with 100 billion total parameters, of which on…

cs.CV2024

IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks

Yaming Zhang, Chenqiang Gao, Fangcen Liu +4

Existing infrared and visible (IR-VIS) methods inherit the general representations of Pre-trained Visual Models (PVMs) to facilitate complementary learning. However, our analysis i…

cs.CV2024

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning

Harold Haodong Chen, Harry Yang, Ser-Nam Lim

Recent advances in video generation have outpaced progress in video editing, which remains constrained by several limiting factors, namely: (a) the task's dependency on supervision…

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