501 citations · 522 across the 9 of their papers we have counts for
10 papers
SE-MD: A Single-encoder multiple-decoder deep network for point cloud generation from 2D images
Abdul Mueed Hafiz, Rouf Ul Alam Bhat, Shabir Ahmad Parah +1
3D model generation from single 2D RGB images is a challenging and actively researched computer vision task. Various techniques using conventional network architectures have been p…
Attention mechanisms and deep learning for machine vision: A survey of the state of the art
Abdul Mueed Hafiz, Shabir Ahmad Parah, Rouf Ul Alam Bhat
With the advent of state of the art nature-inspired pure attention based models i.e. transformers, and their success in natural language processing (NLP), their extension to machin…
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
We present a simple yet efficient Hybrid Classifier based on Deep Learning and Reinforcement Learning. Q-Learning is used with two Q-states and four actions. Conventional technique…
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
Deep Q-Network (DQN) based multi-agent systems (MAS) for reinforcement learning (RL) use various schemes where in the agents have to learn and communicate. The learning is however…
Deep Network Ensemble Learning applied to Image Classification using CNN Trees
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
Traditional machine learning approaches may fail to perform satisfactorily when dealing with complex data. In this context, the importance of data mining evolves w.r.t. building an…
Fast Training of Deep Networks with One-Class CNNs
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
One-class CNNs have shown promise in novelty detection. However, very less work has been done on extending them to multiclass classification. The proposed approach is a viable effo…