Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
A unique M-pattern for micro-expression spotting in long videos
Authors: Jinxuan Wang, Shiting Xu, Tong Zhang
ICLR 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on CAS(ME)2, SAMM-LV and CASME II validate the proposed methods are superior to the state-of-the-art methods. |
| Researcher Affiliation | Academia | Jinxuan Wang1, Shiting Xu1, Tong Zhang1,2 1South China University of Technology & Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human 2Pazhou Lab, Guangzhou, China EMAIL, EMAIL |
| Pseudocode | Yes | Appendix A.1 PSEUDO-CODE FOR FACIAL ALIGNMENT. Algorithm 1 Alignment. Algorithm 2 Reference Frame Update. |
| Open Source Code | No | The paper does not provide an explicit statement about the availability of its source code or a link to a code repository. |
| Open Datasets | Yes | We conduct the experiments on CASME II(Yan et al., 2014), CAS(ME)2(Qu et al., 2018) and SAMM-LV(Yap et al., 2020). |
| Dataset Splits | No | The paper mentions using these datasets for experiments and evaluation, but it does not specify explicit training, validation, or test dataset splits with percentages or counts. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., GPU models, CPU types, memory) used for running the experiments. |
| Software Dependencies | Yes | Pixelmatch(Mapbox, 2022) is used for fast pixel-level image comparison. (Reference: Mapbox. pixelmatch 0.3.0. https://pypi.org/project/pixelmatch, 2022. Accessed: 2023-08-01.) |
| Experiment Setup | Yes | p is set to 3 for peak detection. For MES, Tmax = {23, 51}, Tddeg = {45, 250}, Io Umerge = {0.3, 0.3}({ , }for CAS(ME)2 and SAMM-LV respectively). Tdisorder = block area / 8 / 8. window length and polyorder is set to k and 3. Mmin and Mmax is set to 0.1% and 8% of the matching box area respectively. |