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researcher

Juncheng Li

59 papers hereh-index 211.5k citations79 works total

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

author position
  • first author8
  • middle author45
  • last author3

Across the 56 of 59 papers where every author was matched, so the position is known.

fields
  • cs.CV40
  • cs.AI9
  • cs.CL7
  • cs.LG2
  • cs.MA1
same name
  • Juncheng Li — 27 papers, h 26
  • Juncheng Li — 12 papers, h 7
  • Juncheng Li — 10 papers, h 5
  • Juncheng Li — 7 papers, h 5
  • Juncheng Li — 6 papers, h 4
  • Juncheng Li — 5 papers, h 11

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
20192026
most citedFine-Grained Semantically Aligned Vision-Language Pre-Training

29 citations · 116 across the 52 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

AVC-Reward: Event-Centric Audio-Video Consistency Evaluation

Yuruo Wu, Kaihang Pan, Kai Shen +6

As joint audio-video generation models become more capable, they can generate audio-visual scenes exhibiting three forms of complexity: multi-event composition, multi-layer audio m…

cs.CV2026

InstructSAM: Segment Any Instance with Any Instructions

Yuqian Yuan, Wentong Li, Zhaocheng Li +6

In this paper, we introduce InstructSAM, a unified and streamlined framework designed for multi-instance segmentation under arbitrary instructions. We formulates instruction-driven…

cs.CV2026

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness

Haiyi Qiu, Kaihang Pan, Jiacheng Li +3

Recent unified image generation models have achieved remarkable success by employing MLLMs for semantic understanding and diffusion backbones for image generation. However, these m…

cs.CV2026

AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization

Binhe Yu, Zhen Wang, Kexin Li +6

Multi-subject customization aims to synthesize multiple user-specified subjects into a coherent image. To address issues such as subjects missing or conflicts, recent works incorpo…

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