Tianhong Dai

Research output

Research output per year 2019 2019 2020 2022 2024 2024

• 11 Published conference contribution
• 9 Article

Research output per year

Research output per year

Search results

• 2024

  Application of IMVR Convolutional Neural Networks to Classification of Land Use Remote Sensing Datasets

  Shuai, Y., Xin, N., Hasan, M. M., Hu, B., Dai, T. & Liu, H., 21 Feb 2024, Proceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023. Institute of Electrical and Electronics Engineers Inc., p. 27-31 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Land use 100%
  • Remote sensing 86%
  • Convolutional neural networks 75%
  • Image classification 44%
  • Computational efficiency 40%

• Cross Domain Policy Transfer with Effect Cycle-Consistency

  Zhu, R., Dai, T. & Celiktutan, O., 31 Jan 2024, (Accepted/In press) IEEE International Conference on Robotics and Automation. IEEE Explore

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

• Wavelet-based Network for High Dynamic Range Imaging

  Dai, T., Li, W., Cao, X., Liu, J., Jia, X., Leonardis, A., Yan, Y. & Yuan, S., 1 Jan 2024, In: Computer Vision and Image Understanding. 103881.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Imaging techniques 100%
  • Merging 64%
  • Optical flows 36%
  • Discrete wavelet transforms 35%
  • Restoration 32%
  2 Downloads (Pure)
• 2023

  Learning to Solve Tasks with Exploring Prior Behaviour

  Zhu, R., Li, S., Dai, T., Zhang, C. & Celiktutan, O., 13 Dec 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Explore, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Demonstrations 100%
  • Reinforcement learning 24%
  • Websites 20%
  • Navigation 18%
  • Robotics 18%

• Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction

  Zhu, A., Dai, T., Xu, G., Pauwels, P., Vries, B. D. & Fang, M., Jul 2023, In: IEEE Transactions on Automation Science and Engineering. 20, 3, p. 1515-1526 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Prefabricated construction 100%
  • Reinforcement learning 63%
  • Robots 40%
  • Planning 40%
  • Simulators 17%
  4 Citations (Scopus)
• 2022

  Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies

  Wong, N. C. K., Meshkinfamfard, S., Turbe, V., Whitaker, M., Moshe, M., Bardanzellu, A., Dai, T., Pignatelli, E., Barclay, W., Darzi, A., Elliott, P., Ward, H., Tanaka, R., Cooke, G., McKendry, R., Atchison, C. & Bharath, A. A., Dec 2022, In: Communications Medicine. 2, 10 p., 78.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Antibodies 100%
  • Machine learning 57%
  • Artificial intelligence 13%
  • Vaccines 10%
  • Antigens 10%
  3 Downloads (Pure)

• Progressive Multi-Scale Fusion Network for RGB-D Salient Object Detection

  Ren, G., Xie, Y., Dai, T. & Stathaki, T., 1 Oct 2022, In: Computer Vision and Image Understanding. 223, 9 p., 103529.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Object detection 100%
  • Fusion reactions 78%
  • Masks 45%
  • Agglomeration 21%
  • Cameras 17%
  2 Downloads (Pure)

• LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning

  Tomilin, T., Dai, T., Fang, M. & Pechenizkiy, M., 20 Sept 2022, IEEE Conference on Games 2022 . IEEE Explore, p. 72-79 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Reinforcement learning 100%
  • Learning algorithms 13%
  • Pixels 12%

• Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

  Dai, T., Arulkumaran, K., Gerbert, T., Tukra, S., Behbahani, F. & Bharath, A. A., 7 Jul 2022, In: Neurocomputing. 493, p. 143-165 23 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Reinforcement learning 72%
  • Random Allocation 71%
  • Simulation Training 24%
  • Robots 11%
  3 Downloads (Pure)

• Adaptive Intra-Group Aggregation for Co-Saliency Detection

  Ren, G., Dai, T. & Stathaki, T., 27 Apr 2022, IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Explore, p. 2520-2524 5 p. IVMSP-31.5. (IEEE International Conference on Acoustics, Speech and Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Agglomeration 100%
  • Object detection 59%
  • Deep learning 51%
  • Experiments 20%

• Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning

  Dai, T., Du, Y., Fang, M. & Bharath, A. A., 11 Jan 2022, In: Neurocomputing. 468, p. 396-406 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Deep Learning 100%
  • Psychology Reinforcement 78%
  • Reinforcement learning 72%
  • Reward 70%
  • Motivation 58%
• 2021

  Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay

  Dai, T., Liu, H., Arulkumaran, K., Ren, G. & Bharath, A. A., 2021, Pacific Rim International Conference on Artificial Intelligence: PRICAI 2021: Trends in Artificial Intelligence. p. 32-45 (Lecture Notes in Computer Science; vol. 13033).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Trajectories 100%
  • Robotics 43%
  • Reinforcement learning 28%
  • Learning algorithms 23%
  • Sampling 20%
• 2020

  Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling

  Tianrui, LIU., Luo, W., Ma, L., Huang, J-J., Stathaki, T. & Dai, T., Nov 2020, In: IEEE Transactions on Image Processing. 30, p. 754 - 766 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Detectors 100%
  • Feature extraction 98%
  • Ablation 78%
  • Deep neural networks 62%
  • Convolutional neural networks 58%

• Salient Object Detection Combining a Self-Attention Module and a Feature Pyramid Network

  Ren, G., Dai, T., Barmpoutis, P. & Stathaki, T., 16 Oct 2020, In: Electronics (Switzerland). 9, 10, 13 p., 1702.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Object detection 100%
  • Semantics 66%
  • Dilution 53%
  • Computer vision 41%
  4 Downloads (Pure)

• Episodic Self-Imitation Learning with Hindsight

  Dai, T., Liu, H. & Bharath, A. A., Oct 2020, In: Electronics (Switzerland). 9, 10, 18 p., 1742.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Learning algorithms 100%
  • Trajectories 83%
  • Robots 77%
  • Reinforcement learning 60%
  • Experiments 21%

• Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

  Liu, T., Huang, J-J., Dai, T., Ren, G. & Stathaki, T., May 2020, IEEE International Conference on Acoustics, Speech and Signal Processing.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Feature extraction 100%
  • Deep neural networks 63%
  • Convolutional neural networks 59%
  • Experiments 23%
• 2019

  Deep Reinforcement Learning for Subpixel Neural Tracking

  Dai, T., Dubois, M., Arulkumaran, K., Campbell, J., Bass, C., Billot, B., Uslu, F., de Paola, V., Clopath, C. & Bharath, A. A., 1 Aug 2019, Proceedings of Machine Learning Research. Vercauteren, T. (ed.). Vol. 102. p. 130-150 21 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Reinforcement learning 100%
  • Axons 98%
  • Labeled data 78%
  • Microscopic examination 71%
  • Tuning 51%

• Image Synthesis with a Convolutional Capsule Generative Adversarial Network

  Bass, C., Dai, T., Billot, B., Arulkumaran, K., Creswell, A., Clopath, C., De Paola, V. & Bharath, A. A., 1 Aug 2019, Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning. Unal, G. & Vercauteren, T. (eds.). PMLR, Vol. 102. p. 39-62 24 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  • Axons 100%
  • Microscopic examination 73%
  • Photons 40%
  • Labels 28%
  • Imaging techniques 25%

• A Maximum Entropy Deep Reinforcement Learning Neural Tracker

  Balaram, S., Arulkumaran, K., Dai, T. & Bharath, A. A., 2019, International Workshop on Machine Learning in Medical Imaging. p. 400-408 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Reinforcement learning 100%
  • Entropy 83%
  • Photons 29%
  • Pathology 28%
  • Microscopic examination 26%

• LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning

  Du, Y., Han, L., Fang, M., Liu, J., Dai, T. & Tao, D., 2019, Advances in Neural Information Processing Systems. Curran Associates, Inc., Vol. 32. 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Reinforcement learning 100%