Tianhong Dai
Tianhong Dai
Lecturer in Computing Science, University of Aberdeen
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Episodic Self-Imitation Learning with Hindsight
T Dai, H Liu, AA Bharath
Electronics, Special Issue on Deep Reinforcement Learning: Methods and …, 2020
Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning
T Dai, Y Du, M Fang, AA Bharath
Neurocomputing 468, 396-406, 2021
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
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
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
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
Adaptive Intra-Group Aggregation for Co-Saliency Detection
G Ren, T Dai, T Stathaki
IEEE International Conference on Acoustics, Speech and Signal Processing …, 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
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
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
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
Cross Domain Policy Transfer with Effect Cycle-Consistency
R Zhu, T Dai, O Celiktutan
IEEE International Conference on Robotics and Automation, 2024
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