Ujjwal Maulik
Computer Vision and Pattern Recognition · 2000–2019
A researcher in the Science corpus: 9 papers; trusts 622 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 123 citations into it; #4,662 of 21,575 by trust here, #10,500 by citations
- Artificial Intelligence — 59 citations into it; #4,021 of 35,345 by trust here, #7,797 by citations
- Model Architectures — 20 citations into it
- Computational Theory and Mathematics — 16 citations into it; #8,293 of 12,182 by trust here, #5,239 by citations
- Optimization & Training — 8 citations into it
- Statistics and Probability — 7 citations into it
- Aerospace Engineering — 5 citations into it
- Biomedical Engineering — 5 citations into it
Whom Ujjwal Maulik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Kaiming He
- Geoffrey E. Hinton
- Kalyanmoy Deb
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- David E. Goldberg
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Ujjwal Maulik overall
- Satyasai Jagannath Nanda
- Eduardo R. Hruschka
- Abdolreza Hatamlou
- M. Reibel
- Anirban Mukhopadhyay
- Rui Xu
- Ganapati Panda
- Sanghamitra Bandyopadhyay
- Ricardo José Gabrielli Barreto Campello
- Taher Niknam
Papers from Ujjwal Maulik's perspective
Ordered by how strongly the researchers Ujjwal Maulik trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I (2014) — 419 citations
- Nonparametric genetic clustering: comparison of validity indices (2001) — 294 citations
- A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA (2008) — 838 citations
- Understanding Deep Learning Techniques for Image Segmentation (2019) — 440 citations
- Validity index for crisp and fuzzy clusters (2004) — 772 citations
- Genetic clustering for automatic evolution of clusters and application to image classification (2002) — 448 citations
- An evolutionary technique based on K-Means algorithm for optimal clustering in RN (2002) — 377 citations
- Performance Evaluation of Some Clustering Algorithms and Validity Indices (2002) — 1,420 citations
- Genetic algorithm-based clustering technique (2000) — 1,487 citations