Ehsan Abbasnejad

According to our database, Ehsan Abbasnejad authored at least 82 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Learned Models Can Detect Adversarial Malware For Free.

Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe

CoRR, 2024

Do Deep Neural Network Solutions Form a Star Domain?

Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

CoRR, 2024

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning.

Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel

CoRR, 2024

Neural Redshift: Random Networks are not Random Functions.

Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad

CoRR, 2024

2023

Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data.

Kayne A. Duncanson, Simon Thwaites, David Booth, Gary Hanly, William S. P. Robertson, Ehsan Abbasnejad, Dominic Thewlis

Sensors, April, 2023

Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances.

Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel

CoRR, 2023

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines.

Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel

CoRR, 2023

Semantic Role Labeling Guided Out-of-distribution Detection.

Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi

CoRR, 2023

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup.

Damien Teney, Jindong Wang, Ehsan Abbasnejad

CoRR, 2023

LAVA:Label-efficient Visual Learning and Adaptation.

Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets.

Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RanPAC: Random Projections and Pre-trained Models for Continual Learning.

Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models.

Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi

Proceedings of the 20th International Conference on Informatics in Control, 2023

Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models.

Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation.

Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning.

Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation.

Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness.

Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead.

Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel

IEEE Trans. Multim., 2022

TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems.

Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe

IEEE Trans. Inf. Forensics Secur., 2022

LAVA: Label-efficient Visual Learning and Adaptation.

Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari

CoRR, 2022

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.

Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney

CoRR, 2022

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model.

Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi

CoRR, 2022

ForeSI: Success-Aware Visual Navigation Agent.

Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Inductive Biases for Low Data VQA: A Data Augmentation Approach.

Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.

Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RamBoAttack: A Robust and Query Efficient Deep Neural Network Decision Exploit.

Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Progressive Class Semantic Matching for Semi-supervised Text Classification.

Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense.

Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe

Proceedings of the International Conference on Machine Learning, 2022

Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models.

Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe

Proceedings of the Tenth International Conference on Learning Representations, 2022

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning.

Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning by Feature Mixing.

Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A data-driven reservoir simulation for natural gas reservoirs.

Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad

Neural Comput. Appl., 2021

RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit.

Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe

CoRR, 2021

Learning for Visual Navigation by Imagining the Success.

Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel

CoRR, 2021

Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation.

Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients.

Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari

Proceedings of the 38th International Conference on Machine Learning, 2021

Unshuffling Data for Improved Generalization in Visual Question Answering.

Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Modal Visual Question Answering for Remote Sensing Data: The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021).

Rafael Felix, Boris Repasky, Samuel Hodge, Reza Zolfaghari, Ehsan Abbasnejad, Jamie Sherrah

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training.

Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

GADE: A Generative Adversarial Approach to Density Estimation and its Applications.

M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu

Int. J. Comput. Vis., 2020

Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output.

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

CoRR, 2020

Utilising Prior Knowledge for Visual Navigation: Distil and Adapt.

Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi

CoRR, 2020

Unshuffling Data for Improved Generalization.

Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

CoRR, 2020

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

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

CoRR, 2020

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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.

Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision.

Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.

Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems.

Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

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

Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

CoRR, 2019

DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems.

Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe

CoRR, 2019

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

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

CoRR, 2019

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

Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi

CoRR, 2019

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

Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi

CoRR, 2019

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

Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner

Proceedings of the Neural Information Processing - 26th International Conference, 2019

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

Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel

Proceedings of the Neural Information Processing - 26th International Conference, 2019

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions.

Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.

M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

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

CoRR, 2018

Discriminative Clustering of High-Dimensional Data Using Generative Modeling.

Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel

Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

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

Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

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

Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi

Proceedings of the British Machine Vision Conference 2018, 2018

Active Learning from Noisy Tagged Images.

M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Distribution Based Workload Modelling of Continuous Queries in Clouds.

Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Ehsan Abbasnejad, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Emerg. Top. Comput., 2017

Bayesian Conditional Generative Adverserial Networks.

M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick

CoRR, 2017

DeepSetNet: Predicting Sets with Deep Neural Networks.

Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid

Proceedings of the IEEE International Conference on Computer Vision, 2017

Infinite Variational Autoencoder for Semi-Supervised Learning.

M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Label Filters for Large Scale Multilabel Classification.

Alexandru Niculescu-Mizil, Ehsan Abbasnejad

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015

Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds.

Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Prem Prakash Jayaraman, John G. Hosking, Ehsan Abbasnejad

CoRR, 2015

Linear-Time Gibbs Sampling in Piecewise Graphical Models.

Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Loss-Calibrated Monte Carlo Action Selection.

Ehsan Abbasnejad, Justin Domke, Scott Sanner

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Soccer event detection via collaborative multimodal feature analysis and candidate ranking.

Alfian Abdul Halin, Mandava Rajeswari, Mohammad Abbasnejad

Int. Arab J. Inf. Technol., 2013

Decision-Theoretic Sparsification for Gaussian Process Preference Learning.

M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes.

Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart

Proceedings of the IJCAI 2013, 2013

Decision-Theoretic Approximations for Machine Learning.

Ehsan Abbasnejad

Proceedings of the IJCAI 2013, 2013

2012

A survey of the state of the art in learning the kernels.

M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari

Knowl. Inf. Syst., 2012

New objective functions for social collaborative filtering.

Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna

Proceedings of the 21st World Wide Web Conference 2012, 2012

Symbolic Variable Elimination for Discrete and Continuous Graphical Models.

Scott Sanner, Ehsan Abbasnejad

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

An unsupervised approach to learn the kernel functions: from global influence to local similarity.

M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari

Neural Comput. Appl., 2011