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researcher

Jianjun Li

9 papers hereh-index 489 citations15 works total

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

author position
  • middle author7
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI1
  • cs.LG1
  • cs.MM1
same name
  • Jianjun Li — 5 papers, h 17
  • Jianjun Li — 3 papers, h 1
  • Jianjun Li — 2 papers, h 2
  • Jianjun Li — 1 paper, h 4
  • Jianjun Li — 1 paper, h 2
  • Jianjun Li — 1 paper, h 1

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 citedLMD: Faster Image Reconstruction with Latent Masking Diffusion

3 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.MM2025

Dual-Stream Decoupled Learning for Temporal Consistency and Speaker Interaction in AVSD

Junhao Xiao, Shun Feng, Zhiyu Wu +6

Audio-Visual Speaker Detection (AVSD) hinges on modeling both individual temporal continuity and inter-personal social context. Existing coupled architectures struggle to reconcile…

cs.CV2025

MILD: Multi-Layer Diffusion Strategy for Complex and Precise Multi-IP Aware Human Erasing

Jinghan Yu, Junhao Xiao, Zhiyuan Ma +6

Recent years have witnessed the success of diffusion models in image customization tasks. However, existing mask-guided human erasing methods still struggle in complex scenarios su…

cs.CV2025

Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling

Zhiyuan Ma, Ruixun Liu, Sixian Liu +2

Recently, the rectified flow (RF) has emerged as the new state-of-the-art among flow-based diffusion models due to its high efficiency advantage in straight path sampling, especial…

cs.CV2025

Context-Aware Autoregressive Models for Multi-Conditional Image Generation

Yixiao Chen, Zhiyuan Ma, Guoli Jia +3

Autoregressive transformers have recently shown impressive image generation quality and efficiency on par with state-of-the-art diffusion models. Unlike diffusion architectures, au…

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