Muhammad Waleed Gondal
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 285 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it
- Artificial Intelligence — 31 citations into it
- Generative Models — 23 citations into it
- Media Technology — 19 citations into it
Whom Muhammad Waleed Gondal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
- Andrew Zisserman
- Ross B. Girshick
Who trusts Muhammad Waleed Gondal overall
- Francesco Locatello
- Robert Geirhos
- Matthew James Vowels
- Stefan Bauer
- Bernhard Schölkopf
- Felix Leeb
- Yochai Blau
- Kamyar Nazeri
- David A. Klindt
- Patricia Rubisch
Papers from Muhammad Waleed Gondal's perspective
Ordered by how strongly the researchers Muhammad Waleed Gondal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset (2019) — 170 citations
- The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution (2018) — 52 citations