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iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients


Jun 21, 2021
Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari

* ICML2021 

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Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization


May 18, 2021
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel


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All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training


Apr 12, 2021
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray Buntine, Gholamreza Haffari

* Accepted in CVPR2021 

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Learning for Visual Navigation by Imagining the Success


Feb 28, 2021
Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton Van Den Hengel


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On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law


May 19, 2020
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel


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Utilising Prior Knowledge for Visual Navigation: Distil and Adapt


Apr 07, 2020
M. Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi

* Under review 

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Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output


Apr 02, 2020
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner


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Unshuffling Data for Improved Generalization


Mar 01, 2020
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel


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An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm


Feb 21, 2020
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner


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On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints


Sep 30, 2019
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel


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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation


Jul 09, 2019
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner

* 12 pages, 2 tables, 6 figures 

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Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes


Jun 22, 2019
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng

* 10 pages, 9 figures, 3 tables 

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Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection


May 11, 2019
Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi


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Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator


May 07, 2019
Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi


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Reinforcement Learning with Attention that Works: A Self-Supervised Approach


Apr 06, 2019
Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel


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What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions


Dec 16, 2018
Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel


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An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks


Dec 16, 2018
Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel


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Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables


Nov 20, 2018
Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Ranasinghe, Hamid Rezatofighi

* Accepted at MobiQuitous 2018 

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3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space


Jul 14, 2018
Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi

* Oral presentation at British Machine Vision Conference (BMVC) 2018 

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DeepSetNet: Predicting Sets with Deep Neural Networks


Aug 11, 2017
S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan, Ehsan Abbasnejad, Anthony Dick, Ian Reid

* Accepted in IEEE International Conference on Computer Vision (ICCV), Venice, 2017, (Spotlight) 

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Infinite Variational Autoencoder for Semi-Supervised Learning


Nov 24, 2016
Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel


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