Ehsan Abbasnejad

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 95

Top Venues

CoRR

CVPR

NeurIPS

AAAI

Publications

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. CoRR (2024)
Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe
Brusleattack: a Query-Efficient Score- based Black-Box Sparse Adversarial Attack. ICLR (2024)
Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
Do Deep Neural Network Solutions Form a Star Domain? CoRR (2024)
Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING (2024)
Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. CoRR (2024)
Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR (2024)
Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
Bayesian Learned Models Can Detect Adversarial Malware For Free. CoRR (2024)
Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad
Neural Redshift: Random Networks are not Random Functions. CoRR (2024)
Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR (2024)
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack. CoRR (2024)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
LAVA:Label-efficient Visual Learning and Adaptation. WACV (2023)
Damien Teney, Jindong Wang, Ehsan Abbasnejad
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR (2023)
Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CVPR Workshops (2023)
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. CoRR (2023)
Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. CoRR (2023)
Kayne A. Duncanson, Simon Thwaites, David Booth, Gary Hanly, William S. P. Robertson, Ehsan Abbasnejad, Dominic Thewlis
Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. Sensors 23 (7) (2023)
Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
Semantic Role Labeling Guided Out-of-distribution Detection. CoRR (2023)
Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi
Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models. ICINCO (2) (2023)
Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR (2023)
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranashinghe
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. AAAI (2023)
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR (2023)
Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. ICCV (2023)
Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR (2023)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS (2023)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning. CoRR (2023)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari
Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning. CVPR (2023)
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) (2023)
Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CoRR (2023)
Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS (2023)
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS (2022)
Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel
ForeSI: Success-Aware Visual Navigation Agent. WACV (2022)
Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. CoRR (2022)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi
Active Learning by Feature Mixing. CoRR (2022)
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. CoRR (2022)
Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel
Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. IEEE Trans. Multim. 24 (2022)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
RamBoAttack: A Robust and Query Efficient Deep Neural Network Decision Exploit. NDSS (2022)
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari
LAVA: Label-efficient Visual Learning and Adaptation. CoRR (2022)
Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) (2022)
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT (2022)
Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) (2022)
Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR (2022)
Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR (2022)
Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR (2022)
Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith Ranashinghe
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. ICML (2022)
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR (2022)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi
Active Learning by Feature Mixing. CVPR (2022)
Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. CoRR (2022)
Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. ICLR (2022)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR (2022)
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR (2021)
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR (2021)
Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR (2021)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV (2021)
Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
Learning for Visual Navigation by Imagining the Success. CoRR (2021)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR (2021)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR (2021)
Rafael Felix, Boris Repasky, Samuel Hodge, Reza Zolfaghari, Ehsan Abbasnejad, Jamie Sherrah
Cross-Modal Visual Question Answering for Remote Sensing Data: The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021). DICTA (2021)
Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad
A data-driven reservoir simulation for natural gas reservoirs. Neural Comput. Appl. 33 (18) (2021)
Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. WACV (2021)
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit. CoRR (2021)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS (2020)
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS (2020)
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Unshuffling Data for Improved Generalization. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) (2020)
Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi
Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. CoRR (2020)
Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR (2020)
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR (2020)
Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel
Counterfactual Vision and Language Learning. CVPR (2020)
Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. ACSAC (2020)
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. CoRR (2019)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) (2019)
Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR (2019)
Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. ICONIP (5) (2019)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR (2019)
Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. CoRR (2019)
Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe
DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. CoRR (2019)
Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR (2019)
Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. CoRR (2019)
Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi
Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. CoRR (2019)
Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR (2018)
Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. CoRR (2018)
Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. MobiQuitous (2018)
Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR (2018)
Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS (2018)
Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. CoRR (2018)
Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. BMVC (2018)
Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Ehsan Abbasnejad, Lizhe Wang, Albert Y. Zomaya
Distribution Based Workload Modelling of Continuous Queries in Clouds. IEEE Trans. Emerg. Top. Comput. 5 (1) (2017)
Alexandru Niculescu-Mizil, Ehsan Abbasnejad
Label Filters for Large Scale Multilabel Classification. AISTATS (2017)
Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
DeepSetNet: Predicting Sets with Deep Neural Networks. ICCV (2017)
Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel
Infinite Variational Autoencoder for Semi-Supervised Learning. CoRR (2016)
Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid
DeepSetNet: Predicting Sets with Deep Neural Networks. CoRR (2016)
Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad
Linear-Time Gibbs Sampling in Piecewise Graphical Models. AAAI (2015)
Ehsan Abbasnejad, Justin Domke, Scott Sanner
Loss-Calibrated Monte Carlo Action Selection. AAAI (2015)
Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire, Prem Prakash Jayaraman, John G. Hosking, Ehsan Abbasnejad
Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds. CoRR (2015)
Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes. IJCAI (2013)
Ehsan Abbasnejad
Decision-Theoretic Approximations for Machine Learning. IJCAI (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ehsan Abbasnejad