Ehsan Abbasnejad

Research output

Research output per year 2009 2020 2021 2022 2023 2024 2024

• 59 Conference Paper
• 15 Article

Research output per year

Research output per year

Search results

• 2024

  Bayesian Learned Models Can Detect Adversarial Malware for Free

  Doan, B. G., Nguyen, D. Q., Montague, P., Abraham, T., De Vel, O., Camtepe, S., Kanhere, S. S., Abbasnejad, E. & Ranasinghe, D. C., 2024, Computer Security – ESORICS 2024 - 29th European Symposium on Research in Computer Security Bydgoszcz, Poland, September 16–20, 2024 Proceedings, Part I. Garcia-Alfaro, J., Kozik, R., Choraś, M. & Katsikas, S. (eds.). Cham Switzerland: Springer, p. 45-65 21 p. (Lecture Notes in Computer Science; vol. 14982).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

• BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model

  Repasky, B., Dick, A. & Abbasnejad, E., 2024, NeurIPS Proceedings - Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), 16 p. (Advances in Neural Information Processing Systems; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

• BRUSLEATTACK: A QUERY-EFFICIENT SCORE-BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK

  Vo, V. Q., Abbasnejad, E. & Ranasinghe, D. C., 2024, The Twelfth International Conference on Learning Representations. Fragkiadaki, K., Emtiyaz Khan, M., Chaudhuri, S. & Sun, Y. (eds.). USA: International Conference on Learning Representations (ICLR), 38 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  2 Citations (Scopus)

• Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

  Zhang, F. Z., Albert, P., Rodriguez-Opazo, C., van den Hengel, A. & Abbasnejad, E., 2024, NeurIPS Proceedings - Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), 36 p. (Advances in Neural Information Processing Systems; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

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

  Teney, D., Wang, J. & Abbasnejad, E., 2024, International Conference on Machine Learning, 21-27 July 2024, Vienna, Austria. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 235. p. 47948-47964 17 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

• Semantic Role Labeling Guided Out-of-distribution Detection

  Zou, J., Guo, M., Tian, Y., Lin, Y., Cao, H., Liu, L., Abbasnejad, E. & Shi, J. Q., 2024, The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). Paris France: European Language Resources Association (ELRA), p. 14641-14651 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

  File
  1 Citation (Scopus)
• 2023

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

  Herath, S., Fernando, B., Abbasnejad, E., Hayat, M., Khadivi, S., Harandi, M., Rezatofighi, H. & Haffari, G., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. Jurie, F. & Sharma, G. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 11619-11628 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  4 Citations (Scopus)

• Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness

  Doan, B. G., Yang, S., Montague, P., De Vel, O., Abraham, T., Camtepe, S., Kanhere, S. S., Abbasnejad, E. & Ranasinghe, D. C., 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). 12 ed. Washington DC USA: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 37. p. 14783-14791 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 12).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  3 Citations (Scopus)

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

  Teney, D., Lin, Y., Oh, S. J. & Abbasnejad, E., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), Vol. 36. 20 p. (Advances in Neural Information Processing Systems; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  11 Citations (Scopus)

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

  Jabri, M. K., Papadakis, P., Abbasnejad, E., Coppin, G. & Shi, J., 2023, Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 2). Gini, G., Precup, R.-E. & Filev, D. (eds.). Setúbal Portugal: Scitepress, p. 329-337 9 p. (Proceedings of the International Conference on Informatics in Control, Automation and Robotics; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

  Open Access

  File

• LAVA: Label-efficient Visual Learning and Adaptation

  Nassar, I., Hayat, M., Abbasnejad, E., Rezatofighi, H., Harandi, M. & Haffari, G., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 147-156 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  2 Citations (Scopus)

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

  Xu, H. M., Liu, L., Chen, H., Abbasnejad, E. & Felix, R., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. Jurie, F. & Sharma, G. (eds.). Piscataway, NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3284-3294 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

• Protocon: pseudo-label refinement via online clustering and prototypical consistency for efficient semi-supervised learning

  Nassar, I., Hayat, M., Abbasnejad, E., Rezatofighi, H. & Haffari, G., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 11641-11650 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  22 Citations (Scopus)

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

  McDonnell, M. D., Gong, D., Parveneh, A., Abbasnejad, E. & van den Hengel, A., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), Vol. 36. 32 p. (Advances in Neural Information Processing Systems; no. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  38 Citations (Scopus)

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

  Abbasnejad, I., Zambetta, F., Salim, F., Wiley, T., Chan, J., Gallagher, R. & Abbasnejad, E., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1111-1120 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
  4 Citations (Scopus)
• 2022

  Active Learning by Feature Mixing

  Parvaneh, A., Abbasnejad, E., Teney, D., Haffari, R., Van Den Hengel, A. & Shi, J. Q., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 12227-12236 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  88 Citations (Scopus)

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

  Zou, J., Cao, H., Liu, L., Lin, Y., Abbasnejad, E. & Shi, J. Q., 2022, FinNLP 2022 - The Fourth Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop. Chen, C.-C., Huang, H.-H., Takamura, H. & Chen, H.-H. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 178-186 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

  Open Access
  3 Citations (Scopus)

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

  Doan, B. G., Abbasnejad, E., Shi, J. Q. & Ranashinghe, D. C., 2022, Proceedings of the 39th International Conference on Machine Learning 2022. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 162. p. 5309-5323 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  1 Citation (Scopus)

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

  Teney, D., Abbasnejad, E., Lucey, S. & Van Den Hengel, A., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 16740-16751 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  45 Citations (Scopus)

• ForeSI: Success-Aware Visual Navigation Agent

  Kazemi Moghaddam, M., Abbasnejad, E., Wu, Q., Qinfeng Shi, J. & Van Den Hengel, A., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Anand, S., Farrell, R., Souvenir, R. & Zhao, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3401-3410 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  9 Citations (Scopus)

• Inductive biases for low data VQA: a data augmentation approach

  Askarian, N., Abbasnejad, E., Zukerman, I., Buntine, W. & Haffari, G., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2022. Farrell, R., Zhao, C., Anand, S. & Souvenir, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 231-240 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  4 Citations (Scopus)

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

  Teney, D., Peyrard, M. & Abbasnejad, E., 2022, Computer Vision – ECCV 2022 - 17th European Conference Tel Aviv, Israel, October 23–27, 2022 Proceedings, Part XXIII. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Cham Switzerland: Springer, p. 458-476 19 p. (Lecture Notes in Computer Science; vol. 13683).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  10 Citations (Scopus)

• Progressive Class Semantic Matching for Semi-supervised Text Classification

  Xu, H. M., Liu, L. & Abbasnejad, E., 2022, NAACL 2022, 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference . Cotterell, R., Croce, D. & Zhang, J. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 3003-3013 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  11 Citations (Scopus)

• QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS

  Vo, V. Q., Abbasnejad, E. & Ranasinghe, D. C., 2022, International Conference on Learning Representations 2022. LeCun, Y. (ed.). USA: International Conference on Learning Representations (ICLR), 19 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  15 Citations (Scopus)

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

  Vo, V. Q., Abbasnejad, E. & Ranasinghe, D. C., 2022, Proceedings, 2022 Network and Distributed System Security Symposium. Koushanfar, F. & Xu, W. (eds.). Reston VA USA: Internet Society, 18 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  6 Citations (Scopus)

• Truncated Matrix Power Iteration for Differentiable DAG Learning

  Zhang, Z., Ng, I., Gong, D., Liu, Y., Abbasnejad, E. M., Gong, M., Zhang, K. & Shi, J. Q., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), 13 p. (Advances in Neural Information Processing Systems; vol. 35).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  12 Citations (Scopus)

• UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining

  Zou, J., Cao, H., Liu, Y., Liu, L., Abbasnejad, E. & Shi, J. Q., 2022, FinNLP 2022 - The Fourth Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop. Chen, C.-C., Huang, H.-H., Takamura, H. & Chen, H.-H. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 122-126 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

  Open Access
  1 Citation (Scopus)
• 2021

  All labels are not created equal: enhancing semi-supervision via label grouping and co-training

  Nassar, I., Herath, S., Abbasnejad , E., Buntine, W. & Haffari, R., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. Masson-Forsythe, M. & Mortensen, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 7237-7246 10 p. (Proceedings 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  47 Citations (Scopus)

• Cross-Modal Visual Question Answering for Remote Sensing Data

  Felix, R., Repasky, B., Hodge, S., Zolfaghari, R., Abbasnejad, E. & Sherrah, J., 2021, DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications. Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 57-65 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
  4 Citations (Scopus)

• Curriculum learning effectively improves low data VQA

  Askarian, N., Abbasnejad, E., Zukerman, I., Buntine, W. & Haffari, G., 2021, ALTA 2021: Proceedings of the 19th Workshop of the Australasian Language Technology Association. Rahimi, A., Lane, W. & Zuccon, G. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 22-33 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

  Open Access

  File
  2 Citations (Scopus)

• iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients

  Zhang, M., Su, S., Pan, S., Chang, X., Abbasnejad, E. & Haffari, R., 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 139. p. 12557-12566 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

  File
  32 Citations (Scopus)

• Optimistic Agent: Accurate graph-based value estimation for more successful visual navigation

  Moghaddam, M. K., Wu, Q., Abbasnejad, E. & Shi, J., 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. Canton, C. & Leal-Taixe, L. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3732-3741 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  15 Citations (Scopus)

• Unshuffling Data for Improved Generalization in Visual Question Answering

  Teney, D., Abbasnejad, E. & van den Hengel, A., 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1397-1407 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  45 Citations (Scopus)
• 2020

  Counterfactual vision and language learning

  Abbasnejad, E., Teney, D., Parvaneh, A., Shi, J. & van den Hengel, A., 2020, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G., Saenko, K. & Savarese, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 10041-10051 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  115 Citations (Scopus)

• Counterfactual vision-and-language navigation: Unravelling the unseen

  Parvaneh, A., Abbasnejad, E., Teney, D., Shi, J. Q. & van den Hengel, A., 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Lorochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), 12 p. (Advances in Neural Information Processing Systems; vol. 2020-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  27 Citations (Scopus)

• Februus: Input Purification Defense against Trojan Attacks on Deep Neural Network Systems

  Doan, B. G., Abbasnejad, E. & Ranasinghe, D. C., 2020, Proceedings - 36th Annual Computer Security Applications Conference, ACSAC 2020. Giacinto, G. & Mayer, P. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 897-912 16 p. 3427264

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  199 Citations (Scopus)

• Gold seeker: Information gain from policy distributions for goal-oriented vision-and-langauge reasoning

  Abbasnejad, E., Abbasnejad, I., Wu, Q., Shi, J. & van den Hengel, A., 2020, Proceedings - 33th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G. & Saenko, K. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 13447-13456 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  3 Citations (Scopus)

• Modelling hydraulically fractured tight gas reservoirs with an artificial intelligence (AI)-based simulator, deep net simulator (DNS)

  Ghassemzadeh, S., Perdomo, M. G., Abbasnejad, E. & Haghighi, M., 2020, First EAGE Digitalization Conference and Exhibition 2020. Houten The Netherlands: European Association of Geoscientists and Engineers, EAGE, 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
  2 Citations (Scopus)

• On the value of out-of-distribution testing: An example of Goodhart’s law

  Teney, D., Kafle, K., Shrestha, R., Abbasnejad, E., Kanan, C. & van den Hengel, A., 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Lorochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), Vol. 2020-December. 11 p. (Advances in Neural Information Processing Systems; vol. 2020-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  85 Citations (Scopus)
• 2019

  3D hand pose estimation using simulation and partial-supervision with a shared latent space

  Abdi, M., Abbasnejad, E., Lim, C. P. & Nahavandi, S., 2019, 29th British Machine Vision Conference, BMVC 2018. London UK: British Machine Vision Association

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  6 Citations (Scopus)

• Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation

  Neshat, M., Abbasnejad, E., Shi, Q., Alexander, B. & Wagner, M., 2019, Neural Information Processing: 26th International Conference, ICONIP 2019 Sydney, NSW, Australia, December 12–15, 2019 Proceedings, Part II. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Cham Switzerland: Springer, p. 353-366 14 p. (Lecture Notes in Computer Science; vol. 11954).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  25 Citations (Scopus)

• A generative adversarial density estimator

  Abbasnejad, M. E., Shi, Q., Van Den Hengel, A. & Liu, L., 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. Gupta, A., Hoiem, D., Hua, G. & Tu, Z. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 10774-10783 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  17 Citations (Scopus)

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

  Manchin, A., Abbasnejad, E. & van den Hengel, A., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019 Sydney, NSW, Australia, December 12–15, 2019 Proceedings, Part V. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Cham Switzerland: Springer, p. 223-230 8 p. (Communications in Computer and Information Science; vol. 1143).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  38 Citations (Scopus)

• What's to know? Uncertainty as a guide to asking goal-oriented questions

  Abbasnejad, E., Wu, Q., Shi, Q. & Van Den Hengel, A., 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. Gupta, A., Hoiem, D., Hua, G. & Tu, Z. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4150-4159 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  17 Citations (Scopus)
• 2018

  Active learning from noisy tagged images

  Abbasnejad, E., Dick, A., Shi, Q. & Van Den Hengel, A., 2018, 29th British Machine Vision Conference, BMVC 2018. London UK: British Machine Vision Association, 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

• Deep auto-set: a deep auto-encoder-set network for activity recognition using wearables

  Varamin, A. A., Abbasnejad, E., Shi, Q., Ranasinghe, D. C. & Rezatofighi, H., Nov 2018, Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Borcea, C., Mao, S. & Tang, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 246-253 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  38 Citations (Scopus)

• Deep Lipschitz networks and Dudley GANs

  Abbasnejad, E., Shi, J. & van den Hengel, A., 2018, 6th International Conference on Learning Representations, ICLR 2018. Amherst MA USA: OpenReview

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access

• Discriminative clustering of high-dimensional data using generative modeling

  Abdi, M., Lim, C. P., Mohamed, S., Nahavandi, S., Abbasnejad, E. & Van Den Hengel, A., 2018, 2018 IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 799-802 4 p. (Midwest Symposium on Circuits and Systems; vol. 2018-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
• 2017

  DeepSetNet: predicting sets with deep neural networks

  Rezatofighi, S. H., B G, V. K., Milan, A., Abbasnejad, E., Dick, A. & Reid, I., 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Cucchiara, R., Matsushita, Y., Sebe, N. & Soatto, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 5257-5266 10 p. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
  31 Citations (Scopus)

• Infinite variational autoencoder for semi-supervised learning

  Abbasnejad, M. E., Dick, A. & Van Den Hengel, A., 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. IEEE, Institute of Electrical and Electronics Engineers, p. 781-790 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

  Open Access
  65 Citations (Scopus)