Debdoot Sheet

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Debdoot Sheet trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhou Wang
  2. Chao Wang
  3. Haidi Ibrahim
  4. Mohammad Abdullah-Al-Wadud
  5. A. Bovik
  6. A. Ramli
  7. Zhongfu Ye
  8. Nicholas Sia Pik Kong
  9. Hasanul Kabir

Who trusts Debdoot Sheet overall

  1. Risheng Liu

Papers from Debdoot Sheet's perspective

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

  1. Minimum mean brightness error bi-histogram equalization in contrast enhancement (IEEE Trans. Consumer Electron.)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Fully convolutional networks for semantic segmentation
  7. A universal image quality index (IEEE Signal Processing Letters)
  8. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  9. Brightness preserving histogram equalization with maximum entropy: a variational perspective (IEEE transactions on consumer electronics)
  10. A Dynamic Histogram Equalization for Image Contrast Enhancement (IEEE transactions on consumer electronics)

Their papers