Mahmoud Gamal

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All published works

Action	Title	Year	Authors
+ PDF Chat	Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs	2022	Ahmed Badar Arnav Varma Adrian Staniec Mahmoud Gamal Omar Magdy Haris Iqbal Elahe Arani Bahram Zonooz
+	Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting.	2018	Mennatullah Siam Chen Jiang Steven Lu Laura Petrich Mahmoud Gamal Mohamed Elhoseiny Martin Jägersand

Common Coauthors

Coauthor	Papers Together
Laura Petrich	1
Mennatullah Siam	1
Bahram Zonooz	1
Martin Jägersand	1
Adrian Staniec	1
Elahe Arani	1
Omar Magdy	1
Haris Iqbal	1
Arnav Varma	1
Mohamed Elhoseiny	1
Chen Jiang	1
Ahmed Badar	1
Steven Lu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Energy-efficient ConvNets through approximate computing	2016	Bert Moons Bert De Brabandere Luc Van Gool Marian Verhelst	1
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	1
+	Bridging Category-level and Instance-level Semantic Image Segmentation	2016	Zifeng Wu Chunhua Shen Anton van den Hengel	1
+	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	One-Shot Video Object Segmentation	2016	Sergi Caelles Kevis-Kokitsi Maninis Jordi Pont-Tuset Laura Leal-Taixé Daniel Cremers Luc Van Gool	1
+ PDF Chat	Wider or Deeper: Revisiting the ResNet Model for Visual Recognition	2019	Zifeng Wu Chunhua Shen Anton van den Hengel	1
+ PDF Chat	COCO-Stuff: Thing and Stuff Classes in Context	2018	Holger Caesar Jasper Uijlings Vittorio Ferrari	1
+ PDF Chat	Learning Video Object Segmentation from Static Images	2017	Federico Perazzi Anna Khoreva Rodrigo Benenson Bernt Schiele Alexander Sorkine‐Hornung	1
+ PDF Chat	Learning Motion Patterns in Videos	2017	Pavel Tokmakov Karteek Alahari Cordelia Schmid	1
+ PDF Chat	Learning Video Object Segmentation with Visual Memory	2017	Pavel Tokmakov Karteek Alahari Cordelia Schmid	1
+	Hyperparameter Optimization: A Spectral Approach	2017	Elad Hazan Adam R. Klivans Yuan Yang	1
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	1
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	SegFlow: Joint Learning for Video Object Segmentation and Optical Flow	2017	Jingchun Cheng Yi–Hsuan Tsai Shengjin Wang Ming–Hsuan Yang	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time	2018	Rudra P. K. Poudel Ujwal Bonde Stephan Liwicki Christopher Zach	1
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	1
+	Differentiable Learning-to-Normalize via Switchable Normalization	2018	Ping Luo Jiamin Ren Zhanglin Peng Ruimao Zhang Jingyu Li	1
+	Fast, Better Training Trick -- Random Gradient	2018	Jiakai Wei	1
+ PDF Chat	BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation	2018	Changqian Yu Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang	1
+	Accelerating Deep Neural Networks with Spatial Bottleneck Modules	2018	Junran Peng Lingxi Xie Zhaoxiang Zhang Tieniu Tan Jingdong Wang	1
+	Improving Semantic Segmentation via Video Propagation and Label Relaxation	2018	Yi Zhu Karan Sapra Fitsum A. Reda Kevin J. Shih Shawn Newsam Andrew Tao Bryan Catanzaro	1
+	Fast-SCNN: Fast Semantic Segmentation Network	2019	Rudra P. K. Poudel Stephan Liwicki Roberto Cipolla	1
+	Energy and Policy Considerations for Deep Learning in NLP	2019	Emma Strubell Ananya Ganesh Andrew McCallum	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Tackling Climate Change with Machine Learning	2019	David Rolnick Priya L. Donti Lynn H. Kaack Kelly Kochanski Alexandre Lacoste Kris Sankaran Andrew Slavin Ross Nikola Milojevic-Dupont Natasha Jaques Anna Waldman‐Brown	1
+	Making Convolutional Networks Shift-Invariant Again	2019	Richard Zhang	1
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+	Faster Neural Network Training with Data Echoing	2019	Dami Choi Alexandre Passos Christopher J. Shallue George E. Dahl	1
+	A Unified Optimization Approach for CNN Model Inference on Integrated GPUs	2019	Leyuan Wang Zhi Chen Yizhi Liu Yao Wang Lianmin Zheng Mu Li Yida Wang	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection	2018	Thanh-Toan Do Anh‐Tu Nguyen Ian Reid	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution	2018	Rosanne Liu Joel Lehman Piero Molino Felipe Petroski Such Eric Frank A. E. Sergeev Jason Yosinski	1
+	Online Adaptation of Convolutional Neural Networks for Video Object Segmentation	2017	Paul Voigtlaender Bastian Leibe	1
+	Energy and Policy Considerations for Deep Learning in NLP	2019	Emma Strubell Ananya Ganesh Andrew McCallum	1
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Lookahead Optimizer: k steps forward, 1 step back	2019	Michael R. Zhang James Lucas Geoffrey E. Hinton Jimmy Ba	1
+ PDF Chat	Improving Semantic Segmentation via Video Propagation and Label Relaxation	2019	Yi Zhu Karan Sapra Fitsum A. Reda Kevin J. Shih Shawn Newsam Andrew Tao Bryan Catanzaro	1
+	Quantifying the Carbon Emissions of Machine Learning	2019	Alexandre Lacoste Alexandra Sasha Luccioni Victor Schmidt Thomas Dandres	1
+	RGPNet: A Real-Time General Purpose Semantic Segmentation	2019	Elahe Arani Shabbir Marzban Andrei Pata Bahram Zonooz	1
+	Utility is in the Eye of the User: A Critique of NLP Leaderboards	2020	Kawin Ethayarajh Dan Jurafsky	1
+	Utility is in the Eye of the User: A Critique of NLP Leaderboards	2020	Kawin Ethayarajh Dan Jurafsky	1
+	No More Pesky Learning Rate Guessing Games.	2015	Leslie N. Smith	1