1k citations · 2k across the 41 of their papers we have counts for
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Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable
Yang Liu, Zhenyue Qin, Saeed Anwar +2
Ever since the advent of AlexNet, designing novel deep neural architectures for different tasks has consistently been a productive research direction. Despite the exceptional perfo…
Uncertainty Inspired RGB-D Saliency Detection
Jing Zhang, Deng-Ping Fan, Yuchao Dai +4
We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D saliency detection models tr…
Image Colorization: A Survey and Dataset
Saeed Anwar, Muhammad Tahir, Chongyi Li +3
Image colorization estimates RGB colors for grayscale images or video frames to improve their aesthetic and perceptual quality. Over the last decade, deep learning techniques for i…
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu, Saeed Anwar, Nick Barnes
Point cloud analysis is attracting attention from Artificial Intelligence research since it can be widely used in applications such as robotics, Augmented Reality, self-driving. Ho…
Identity Enhanced Residual Image Denoising
Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli
We propose to learn a fully-convolutional network model that consists of a Chain of Identity Mapping Modules and residual on the residual architecture for image denoising. Our netw…
Mosaic Super-resolution via Sequential Feature Pyramid Networks
Mehrdad Shoeiby, Mohammad Ali Armin, Sadegh Aliakbarian +2
Advances in the design of multi-spectral cameras have led to great interests in a wide range of applications, from astronomy to autonomous driving. However, such cameras inherently…