Bioluminescence-Sensing Assay for Microbial Growth Recognition. - Heba Ramadan Eed; Nora Saeed Abdel-Kader; Mahmoud Helmy El Tahan; Tianhong Dai; Rehab Amin (J. Sensors, 2016)

A Maximum Entropy Deep Reinforcement Learning Neural Tracker. - Shafa Balaram; Kai Arulkumaran; Tianhong Dai; Anil Anthony Bharath (MLMI@MICCAI, 2019)

Image Synthesis with a Convolutional Capsule Generative Adversarial Network. - Cher Bass; Tianhong Dai; Benjamin Billot; Kai Arulkumaran; Antonia Creswell; Claudia Clopath; Vincenzo De Paola; Anil Anthony Bharath (MIDL, 2019)

Deep Reinforcement Learning for Subpixel Neural Tracking. - Tianhong Dai; Magda Dubois; Kai Arulkumaran; Jonathan Campbell; Cher Bass; Benjamin Billot; Fatmatülzehra Uslu; Vincenzo De Paola; Claudia Clopath; Anil Anthony Bharath (MIDL, 2019)

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. - Yali Du 001; Lei Han 001; Meng Fang; Ji Liu 002; Tianhong Dai; Dacheng Tao (NeurIPS, 2019)

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. - Tianhong Dai; Kai Arulkumaran; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (CoRR, 2019)

Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. - Tianrui Liu 001; Jun-Jie Huang 001; Tianhong Dai; Guangyu Ren; Tania Stathaki (ICASSP, 2020)

Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network. - Guangyu Ren; Tianhong Dai; Panagiotis Barmpoutis; Tania Stathaki (CoRR, 2020)

Episodic Self-Imitation Learning with Hindsight. - Tianhong Dai; Hengyan Liu; Anil Anthony Bharath (CoRR, 2020)

Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. - Tianhong Dai; Hengyan Liu; Kai Arulkumaran; Guangyu Ren; Anil Anthony Bharath (PRICAI (3), 2021)

Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection. - Guangyu Ren; Yanchu Xie; Tianhong Dai; Tania Stathaki (CoRR, 2021)

Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. - Tianrui Liu 001; Wenhan Luo; Lin Ma 002; Junjie Huang 001; Tania Stathaki; Tianhong Dai (IEEE Trans. Image Process., 2021)

LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. - Tristan Tomilin; Tianhong Dai; Meng Fang; Mykola Pechenizkiy (CoG, 2022)

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. - Eduardo Pérez-Pellitero; Sibi Catley-Chandar; Richard Shaw; Ales Leonardis; Radu Timofte; Zexin Zhang; Cen Liu; Yunbo Peng; Yue Lin 002; Gaocheng Yu; Jin Zhang; Zhe Ma; et al. (CVPR Workshops, 2022)

Adaptive Intra-Group Aggregation for Co-Saliency Detection. - Guangyu Ren; Tianhong Dai; Tania Stathaki (ICASSP, 2022)

SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes. - Wei Li 002; Shuai Xiao; Tianhong Dai; Shanxin Yuan; Tao Wang 074; Cheng Li; Fenglong Song (CoRR, 2022)

Progressive multi-scale fusion network for RGB-D salient object detection. - Guangyu Ren; Yanchun Xie; Tianhong Dai; Tania Stathaki (Comput. Vis. Image Underst., 2022)

Analysing deep reinforcement learning agents trained with domain randomisation. - Tianhong Dai; Kai Arulkumaran; Tamara Gerbert; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (Neurocomputing, 2022)

Diversity-augmented intrinsic motivation for deep reinforcement learning. - Tianhong Dai; Yali Du 001; Meng Fang; Anil Anthony Bharath (Neurocomputing, 2022)

A novel two-stage method of plant seedlings classification based on deep learning. - Tianhong Dai; Shijie Cong; Jianping Huang; Yanwen Zhang; Xinwang Huang; Qiancheng Xie; Chunxue Sun; Kexin Li (J. Intell. Fuzzy Syst., 2022)

Application of IMVR Convolutional Neural Networks to Classification of Land Use Remote Sensing Datasets. - Yuanzhen Shuai; Ning Xin; Md Maruf Hasan; Bintao Hu; Tianhong Dai; Hengyan Liu (CyberC, 2023)

Learning to Solve Tasks with Exploring Prior Behaviours. - Ruiqi Zhu; Siyuan Li 003; Tianhong Dai; Chongjie Zhang; Oya Çeliktutan (IROS, 2023)

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction. - Aiyu Zhu; Tianhong Dai; Gangyan Xu; Pieter Pauwels; Bauke de Vries; Meng Fang (IEEE Trans Autom. Sci. Eng., 2023)

PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation. - Xinqiao Zhao; Ziqian Yang; Tianhong Dai; Bingfeng Zhang; Jimin Xiao (CVPR, 2024)

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (ICASSP, 2024)

Multimodal Frequeny Spectrum Fusion Schema for RGB-T Image Semantic Segmentation. - Hengyan Liu; Wenzhang Zhang; Tianhong Dai; Longfei Yin; Guangyu Ren (ICCCN, 2024)

Cross Domain Policy Transfer with Effect Cycle-Consistency. - Ruiqi Zhu; Tianhong Dai; Oya Çeliktutan (ICRA, 2024)

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. - Bidur Khanal; Tianhong Dai; Binod Bhattarai; Cristian A. Linte (MICCAI (11), 2024)

Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (SMC, 2024)

APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2024)

Wavelet-based network for high dynamic range imaging. - Tianhong Dai; Wei Li 002; Xilei Cao; Jianzhuang Liu; Xu Jia 012; Ales Leonardis; Youliang Yan; Shanxin Yuan (Comput. Vis. Image Underst., 2024)

Class Activation Map Calibration for Weakly Supervised Semantic Segmentation. - Jian Wang 122; Tianhong Dai; Xinqiao Zhao; Ángel F. García-Fernández; Eng Gee Lim; Jimin Xiao (IEEE Trans. Circuits Syst. Video Technol., 2024)

POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation. - Jian Wang 122; Tianhong Dai; Bingfeng Zhang; Siyue Yu; Eng Gee Lim; Jimin Xiao (CVPR, 2025)

Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Jimin Xiao; Fei Ma 002; Renrong Ouyang (Eng. Appl. Artif. Intell., 2025)

Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (Neurocomputing, 2025)