Mohammad Mehedi Hassan
Computer Vision and Pattern Recognition · 2013–2022
A researcher in the Science corpus: 6 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #19,128 of 21,575 by trust here, #9,563 by citations
- Artificial Intelligence — 25 citations into it
- Electrical and Electronic Engineering — 10 citations into it
- Neurology — 7 citations into it
Whom Mohammad Mehedi Hassan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Davide Anguita
- Geoffrey E. Hinton
- G. Huang
- Alessandro Ghio
- Wanmin Wu
- Aude Oliva
- Simon Osindero
- Kaiming He
- Ross B. Girshick
- Yann LeCun
Who trusts Mohammad Mehedi Hassan overall
- Sumit Majumder
- Xiaochen Zheng
- Florenc Demrozi
- Wai Weng Lo
- Shibo Zhang
- M. Jamal Deen
- Colby R. Banbury
- Meiqing Wang
- Vijay Janappa Reddi
- Jaeyong Kang
Papers from Mohammad Mehedi Hassan's perspective
Ordered by how strongly the researchers Mohammad Mehedi Hassan 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data (2017) — 783 citations
- Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles (2022) — 335 citations
- A hybrid deep learning model for efficient intrusion detection in big data environment (2020) — 330 citations
- A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification (2019) — 376 citations
- A robust human activity recognition system using smartphone sensors and deep learning (2018) — 575 citations
- A Survey on Sensor-Cloud: Architecture, Applications, and Approaches (2013) — 419 citations