Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20162025

Research activity per year

Personal profile

Research student supervision

  • Registered to supervise

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Dive into the research topics where Liang Zheng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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  • Adaptive Multi-head Contrastive Learning

    Wang, L., Koniusz, P., Gedeon, T. & Zheng, L., 2025, Computer Vision – ECCV 2024: 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Nature, p. 404-421 18 p. (Lecture Notes in Computer Science; vol. 15127).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • In Search of Lost Online Test-Time Adaptation: A Survey

    Wang, Z., Luo, Y., Zheng, L., Chen, Z., Wang, S. & Huang, Z., Mar 2025, In: International Journal of Computer Vision. 133, 3, p. 1106-1139 34 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Multiview Detection with Cardboard Human Modeling

    Ma, J., Duan, Z., Zheng, L. & Nguyen, C., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-70 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15477 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

    Zhao, Q., Xu, M., Gupta, K., Asthana, A., Zheng, L. & Gould, S., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 127-142 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15106 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Training A Small Emotional Vision Language Model for Visual Art Comprehension

    Zhang, J., Zheng, L., Wang, M. & Guo, D., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 397-413 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15125 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)