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ORCIDEhsan Abbasnejad
M. Ehsan Abbasnejad – Mohammad Abbasnejad
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Journal Articles
- 2023
[j9]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): 3392 (2023)- 2022
- [j8]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: 3816-3830 (2022) - [j7]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: 1426-1434 (2022) - 2021
- [j6]Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad:
A data-driven reservoir simulation for natural gas reservoirs. Neural Comput. Appl. 33(18): 11777-11798 (2021) - 2020
- [j5]M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu:
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128(10): 2731-2743 (2020) - 2017
- [j4]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): 120-133 (2017) - 2013
- [j3]Alfian Abdul Halin, Mandava Rajeswari, Mohammad Abbasnejad:
Soccer event detection via collaborative multimodal feature analysis and candidate ranking. Int. Arab J. Inf. Technol. 10(5): 493-502 (2013) - 2012
- [j2]M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari:
A survey of the state of the art in learning the kernels. Knowl. Inf. Syst. 31(2): 193-221 (2012) - 2011
- [j1]M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari:
An unsupervised approach to learn the kernel functions: from global influence to local similarity. Neural Comput. Appl. 20(5): 703-715 (2011)
Conference and Workshop Papers
- 2024
- [c52]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: 14641-14651 - [c51]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. ESORICS (1) 2024: 45-65 - [c50]Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe:
Brusleattack: a Query-Efficient Score- based Black-Box Sparse Adversarial Attack. ICLR 2024 - [c49]Damien Teney, Jindong Wang, Ehsan Abbasnejad:
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. ICML 2024 - 2023
- [c48]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. AAAI 2023: 14783-14791 - [c47]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: 1111-1120 - [c46]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: 11641-11650 - [c45]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: 11619-11628 - [c44]Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix:
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) 2023: 3284-3294 - [c43]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: 329-337 - [c42]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 - [c41]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. NeurIPS 2023 - [c40]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA:Label-efficient Visual Learning and Adaptation. WACV 2023: 147-156 - 2022
- [c39]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi:
Active Learning by Feature Mixing. CVPR 2022: 12227-12236 - [c38]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: 16740-16751 - [c37]Damien Teney, Maxime Peyrard, Ehsan Abbasnejad:
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning. ECCV (23) 2022: 458-476 - [c36]Viet Quoc Vo, Ehsan Abbasnejad, Damith Ranasinghe:
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. ICLR 2022 - [c35]Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe:
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. ICML 2022: 5309-5323 - [c34]Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad:
Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT 2022: 3003-3013 - [c33]Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
RamBoAttack: A Robust and Query Efficient Deep Neural Network Decision Exploit. NDSS 2022 - [c32]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 - [c31]Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari:
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) 2022: 231-240 - [c30]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
ForeSI: Success-Aware Visual Navigation Agent. WACV 2022: 3401-3410 - 2021
- [c29]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: 7241-7250 - [c28]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: 1-9 - [c27]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV 2021: 1397-1407 - [c26]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [c25]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. WACV 2021: 3732-3741 - 2020
- [c24]Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe:
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. ACSAC 2020: 897-912 - [c23]Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051 - [c22]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: 13447-13456 - [c21]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) 2020: 580-599 - [c20]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel:
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020 - [c19]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 - 2019
- [c18]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: 4155-4164 - [c17]M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791 - [c16]Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. ICONIP (5) 2019: 223-230 - [c15]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: 353-366 - 2018
- [c14]M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel:
Active Learning from Noisy Tagged Images. BMVC 2018: 252 - [c13]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: 301 - [c12]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: 246-253 - [c11]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: 799-802 - 2017
- [c10]Alexandru Niculescu-Mizil, Ehsan Abbasnejad:
Label Filters for Large Scale Multilabel Classification. AISTATS 2017: 1448-1457 - [c9]M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. CVPR 2017: 781-790 - [c8]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: 5257-5266 - 2015
- [c7]Ehsan Abbasnejad, Justin Domke, Scott Sanner:
Loss-Calibrated Monte Carlo Action Selection. AAAI 2015: 3447-3453 - [c6]Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad:
Linear-Time Gibbs Sampling in Piecewise Graphical Models. AAAI 2015: 3461-3467 - 2013
- [c5]Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart:
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes. IJCAI 2013: 1213-1219 - [c4]Ehsan Abbasnejad:
Decision-Theoretic Approximations for Machine Learning. IJCAI 2013: 3201-3202 - [c3]M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner:
Decision-Theoretic Sparsification for Gaussian Process Preference Learning. ECML/PKDD (2) 2013: 515-530 - 2012
- [c2]Scott Sanner, Ehsan Abbasnejad:
Symbolic Variable Elimination for Discrete and Continuous Graphical Models. AAAI 2012: 1954-1960 - [c1]Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna:
New objective functions for social collaborative filtering. WWW 2012: 859-868
Informal and Other Publications
- 2024
- [i54]Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad:
Neural Redshift: Random Networks are not Random Functions. CoRR abs/2403.02241 (2024) - [i53]Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel:
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR abs/2403.07356 (2024) - [i52]Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh:
Do Deep Neural Network Solutions Form a Star Domain? CoRR abs/2403.07968 (2024) - [i51]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 abs/2403.18309 (2024) - [i50]Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack. CoRR abs/2404.05311 (2024) - [i49]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 abs/2405.17139 (2024) - [i48]Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. CoRR abs/2407.02880 (2024) - [i47]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 abs/2407.20891 (2024) - 2023
- [i46]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 abs/2301.12680 (2023) - [i45]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 abs/2303.13556 (2023) - [i44]Damien Teney, Jindong Wang, Ehsan Abbasnejad:
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. CoRR abs/2305.16817 (2023) - [i43]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 abs/2305.18026 (2023) - [i42]Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR abs/2307.02251 (2023) - [i41]Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix:
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR abs/2309.04659 (2023) - [i40]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 abs/2311.03866 (2023) - [i39]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 abs/2311.17949 (2023) - [i38]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 abs/2312.14400 (2023) - 2022
- [i37]Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. CoRR abs/2202.00091 (2022) - [i36]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi:
Active Learning by Feature Mixing. CoRR abs/2203.07034 (2022) - [i35]Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad:
Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR abs/2205.10189 (2022) - [i34]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 abs/2206.06606 (2022) - [i33]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 abs/2206.14355 (2022) - [i32]Damien Teney, Maxime Peyrard, Ehsan Abbasnejad:
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. CoRR abs/2207.02598 (2022) - [i31]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi:
Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR abs/2208.14571 (2022) - [i30]Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. CoRR abs/2209.00613 (2022) - [i29]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA: Label-efficient Visual Learning and Adaptation. CoRR abs/2210.10317 (2022) - [i28]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 abs/2212.02003 (2022) - 2021
- [i27]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. CoRR abs/2103.00446 (2021) - [i26]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 abs/2104.05248 (2021) - [i25]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 abs/2105.05612 (2021) - [i24]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR abs/2106.10784 (2021) - [i23]Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe:
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR abs/2111.09999 (2021) - [i22]Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit. CoRR abs/2112.05282 (2021) - 2020
- [i21]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 abs/2002.09106 (2020) - [i20]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization. CoRR abs/2002.11894 (2020) - [i19]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. CoRR abs/2004.03222 (2020) - [i18]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR abs/2004.09034 (2020) - [i17]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 abs/2004.12794 (2020) - [i16]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 abs/2005.09241 (2020) - 2019
- [i15]Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. CoRR abs/1904.03367 (2019) - [i14]Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi:
Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. CoRR abs/1905.03721 (2019) - [i13]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi:
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. CoRR abs/1905.04430 (2019) - [i12]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 abs/1906.09433 (2019) - [i11]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR abs/1907.03076 (2019) - [i10]Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe:
DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. CoRR abs/1908.03369 (2019) - [i9]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR abs/1909.13471 (2019) - 2018
- [i8]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. CoRR abs/1807.05380 (2018) - [i7]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 abs/1811.08127 (2018) - [i6]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 abs/1812.06398 (2018) - [i5]Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR abs/1812.06401 (2018) - 2017
- [i4]M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick:
Bayesian Conditional Generative Adverserial Networks. CoRR abs/1706.05477 (2017) - 2016
- [i3]Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. CoRR abs/1611.07800 (2016) - [i2]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 abs/1611.08998 (2016) - 2015
- [i1]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 abs/1501.07020 (2015)
Coauthor Index
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-09-15 00:44 CEST by the dblp team
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