Tianhong Dai

According to our database, Tianhong Dai authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wavelet-based network for high dynamic range imaging.

Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan

Comput. Vis. Image Underst., January, 2024

Cross Domain Policy Transfer with Effect Cycle-Consistency.

Ruiqi Zhu, Tianhong Dai, Oya Çeliktutan

CoRR, 2024

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., July, 2023

Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation.

Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao

CoRR, 2023

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation.

Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao

CoRR, 2023

Learning to Solve Tasks with Exploring Prior Behaviours.

Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan

IROS, 2023

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

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

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

Diversity-augmented intrinsic motivation for deep reinforcement learning.

Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath

Neurocomputing, 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

Progressive multi-scale fusion network for RGB-D salient object detection.

Guangyu Ren, Yanchun Xie, Tianhong Dai, Tania Stathaki

Comput. Vis. Image Underst., 2022

SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes.

Wei Li, Shuai Xiao, Tianhong Dai, Shanxin Yuan, Tao Wang, Cheng Li, Fenglong Song

CoRR, 2022

Adaptive Intra-Group Aggregation for Co-Saliency Detection.

Guangyu Ren, Tianhong Dai, Tania Stathaki

Proceedings of the IEEE International Conference on Acoustics, 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, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

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

Tian-Rui Liu, Wenhan Luo, Lin Ma, Junjie Huang, Tania Stathaki, Tianhong Dai

IEEE Trans. Image Process., 2021

Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection.

Guangyu Ren, Yanchu Xie, Tianhong Dai, Tania Stathaki

CoRR, 2021

Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay.

Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Episodic Self-Imitation Learning with Hindsight.

Tianhong Dai, Hengyan Liu, Anil Anthony Bharath

CoRR, 2020

Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network.

Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis, Tania Stathaki

CoRR, 2020

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

Tian-Rui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

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

Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

A Maximum Entropy Deep Reinforcement Learning Neural Tracker.

Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2016

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