Felix Lau

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2021

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Felix Lau's perspective

Ordered by how strongly the researchers Felix Lau trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  4. Dermatologist-level classification of skin cancer with deep neural networks
  5. The validity and practicality of sun-reactive skin types I through VI.
  6. Human–computer collaboration for skin cancer recognition (Nature Medicine)
  7. Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions
  8. Big Data's Disparate Impact
  9. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. (Journal of Investigative Dermatology)
  10. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)

Their papers