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Shijian Lu

Shijian Lu has 2 papers in our library, in 2023, most of them on Language models & pretraining, Vision & language; often with Chunyan Miao, Guanzheng Chen, Hang Zhang.

2 papers in our library · 2023

OpenAlex · ORCID · Wikidata · h-index 69 · 372 works · 17,515 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 304 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #2154

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 works

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Vision-Language Models for Vision Tasks: A Survey (2023 · 1,047 citations)
    This survey, by researchers at Nanyang Technological University, addresses two drawbacks of mainstream visual recognition: dependence on costly crowd-labelled data and the habit of training a separate network for every task.
  2. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding (2023 · 322 citations)
    Large vision-language models (LVLMs) often describe objects that are not in the image. The authors trace this object hallucination to two sources: statistical bias from co-occurrence patterns in pretraining data, and the language priors of the underlying LLM decoder. They show that making the image less clear…

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFangneng Zhan, Shijian Lu2019 · 300 citations
  2. Towards Natural and Accurate Future Motion Prediction of Humans and Animals ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhenguang Liu et al.2019 · 138 citations
  3. Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSiyuan Yang et al.2021 · 116 citations
  4. Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHongyuan Zhu, Jean-Baptiste Weibel, Shijian Lu2016 · 110 citations
  5. Matching on Sets: Conquer Occluded Person Re-identification Without Alignment ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMengxi Jia et al.2021 · 92 citations
  6. Efficient Test-Time Adaptation of Vision-Language Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAdilbek Karmanov et al.2024 · 83 citations

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 304 times (of the 149,439 papers whose bibliographies we read); 72 citing papers with a page here →.

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