| LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning Y Du, L Han, M Fang, T Dai, J Liu, D Tao Advances in Neural Information Processing Systems 32, 4403-4414, 2019 | 191 | 2019 |
| Coupled Network for Robust Pedestrian Detection with Gated Multi-layer Feature Extraction and Deformable Occlusion Handling T Liu, W Luo, L Ma, JJ Huang, T Stathaki, T Dai IEEE Transactions on Image Processing, 2020 | 42 | 2020 |
| NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2022 | 36 | 2022 |
| Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation T Dai, K Arulkumaran, T Gerbert, S Tukra, F Behbahani, AA Bharath Neurocomputing 493, 143-165, 2022 | 35 | 2022 |
| Image Synthesis with a Convolutional Capsule Generative Adversarial Network C Bass, T Dai, B Billot, K Arulkumaran, A Creswell, C Clopath, V De Paola, ... International Conference on Medical Imaging with Deep Learning, 39-62, 2019 | 31 | 2019 |
| Deep Reinforcement Learning for Subpixel Neural Tracking T Dai, M Dubois, K Arulkumaran, J Campbell, C Bass, B Billot, F Uslu, ... International Conference on Medical Imaging with Deep Learning, 130-150, 2019 | 23 | 2019 |
| Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies NCK Wong, S Meshkinfamfard, V Turbé, M Whitaker, M Moshe, ... Communications Medicine 2 (1), 1-10, 2022 | 21 | 2022 |
| Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction A Zhu, T Dai, G Xu, P Pauwels, B de Vries, M Fang IEEE Transactions on Automation Science and Engineering, 2023 | 19 | 2023 |
| Salient Object Detection Combining a Self-Attention Module and a Feature Pyramid Network G Ren, T Dai, P Barmpoutis, T Stathaki Electronics, Special Issue on Deep Learning for Computer Vision and Pattern …, 2020 | 17 | 2020 |
| Episodic Self-Imitation Learning with Hindsight T Dai, H Liu, AA Bharath Electronics, Special Issue on Deep Reinforcement Learning: Methods and …, 2020 | 16 | 2020 |
| Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning T Dai, Y Du, M Fang, AA Bharath Neurocomputing 468, 396-406, 2021 | 15 | 2021 |
| Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay T Dai, H Liu, K Arulkumaran, G Ren, AA Bharath Pacific Rim International Conference on Artificial Intelligence, 32-45, 2021 | 12 | 2021 |
| Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection T Liu, JJ Huang, T Dai, G Ren, T Stathaki IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 11 | 2020 |
| Wavelet-Based Network For High Dynamic Range Imaging T Dai, W Li, X Cao, J Liu, X Jia, A Leonardis, Y Yan, S Yuan Computer Vision and Image Understanding, 103881, 2023 | 9 | 2023 |
| Adaptive Intra-Group Aggregation for Co-Saliency Detection G Ren, T Dai, T Stathaki IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022 | 7 | 2022 |
| Progressive Multi-Scale Fusion Network For RGB-D Salient Object Detection G Ren, Y Xie, T Dai, T Stathaki Computer Vision and Image Understanding, 103529, 2022 | 6 | 2022 |
| SJ-HD^ 2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes W Li, S Xiao, T Dai, S Yuan, T Wang, C Li, F Song arXiv preprint arXiv:2206.09611, 2022 | 5 | 2022 |
| Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation W Wu, T Dai, X Huang, F Ma, J Xiao IEEE International Conference on Acoustics, Speech and Signal Processing, 2023 | 4 | 2023 |
| LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning T Tomilin, T Dai, M Fang, M Pechenizkiy IEEE Conference on Games, 72-79, 2022 | 4 | 2022 |
| A Maximum Entropy Deep Reinforcement Learning Neural Tracker S Balaram, K Arulkumaran, T Dai, AA Bharath International Workshop on Machine Learning in Medical Imaging, 400-408, 2019 | 3 | 2019 |
Anil Anthony BharathDept of Bioengineering, Imperial CollegeEmail verificata su imperial.ac.uk
