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Long Li

4 papers hereh-index 7248 citations10 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Long Li — 19 papers, h 11
  • Long Li — 12 papers, h 8
  • Long Li — 10 papers, h 5
  • Long Li — 7 papers
  • Long Li — 5 papers
  • Long Li — 5 papers, h 4

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
20212025
most citedInstance-Level Relative Saliency Ranking with Graph Reasoning

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Saliency-R1: Incentivizing Unified Saliency Reasoning Capability in MLLM with Confidence-Guided Reinforcement Learning

Long Li, Shuichen Ji, Ziyang Luo +4

Although multimodal large language models (MLLMs) excel in high-level vision-language reasoning, they lack inherent awareness of visual saliency, making it difficult to identify ke…

cs.CV2024

CONDA: Condensed Deep Association Learning for Co-Salient Object Detection

Long Li, Nian Liu, Dingwen Zhang +6

Inter-image association modeling is crucial for co-salient object detection. Despite satisfactory performance, previous methods still have limitations on sufficient inter-image ass…

cs.CV2021★ 4 cited

Instance-Level Relative Saliency Ranking with Graph Reasoning

Nian Liu, Long Li, Wangbo Zhao +2

Conventional salient object detection models cannot differentiate the importance of different salient objects. Recently, two works have been proposed to detect saliency ranking by…

cs.CV2021

Weakly Supervised Video Salient Object Detection

Wangbo Zhao, Jing Zhang, Long Li +3

Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming an…

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