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Sheng Jin

4 papers hereh-index 392 citations4 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Sheng Jin — 16 papers, h 12
  • Sheng Jin — 9 papers, h 4
  • Sheng Jin — 8 papers, h 25
  • Sheng Jin — 7 papers, h 2
  • Sheng Jin — 5 papers, h 8
  • Sheng Jin — 4 papers

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 citedLLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors

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

collaborators

4 papers

cs.CV2026

VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning

Hengbo Xu, Shengjie Jin, Yanbiao Ma +1

With the rapid advancement of large multimodal models (LMMs), inference-time overhead has become a key bottleneck for real-world deployment. Existing methods typically prune visual…

cs.CV2024

MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders

Xueying Jiang, Sheng Jin, Xiaoqin Zhang +2

Monocular 3D object detection aims for precise 3D localization and identification of objects from a single-view image. Despite its recent progress, it often struggles while handlin…

cs.CV2024

Weakly Supervised Monocular 3D Detection with a Single-View Image

Xueying Jiang, Sheng Jin, Lewei Lu +2

Monocular 3D detection (M3D) aims for precise 3D object localization from a single-view image which usually involves labor-intensive annotation of 3D detection boxes. Weakly superv…

cs.CV2024★ 3 cited

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors

Sheng Jin, Xueying Jiang, Jiaxing Huang +2

Inspired by the outstanding zero-shot capability of vision language models (VLMs) in image classification tasks, open-vocabulary object detection has attracted increasing interest…

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