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PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
Xinqiao Zhao,
Ziqian Yang,
Tianhong Dai,
Bingfeng Zhang,
Jimin Xiao
IEEE/CVF Computer Vision and Pattern Recognition Conference, 2024
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Cross Domain Policy Transfer with Effect Cycle-Consistency
Ruiqi Zhu,
Tianhong Dai,
Oya Celiktutan
IEEE International Conference on Robotics and Automation, 2024
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Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
Wangyu Wu,
Tianhong Dai,
Xiaowei Huang, Fei Ma, Jimin Xiao
International Conference on Acoustics, Speech and Signal Processing, 2024
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Wavelet-Based Network For High Dynamic Range Imaging
Tianhong Dai,
Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
Computer Vision and Image Understanding, 2023
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Learning to Solve Tasks with Exploring Prior Behaviours
Ruiqi Zhu, Siyuan Li,
Tianhong Dai,
Chongjie Zhang, Oya Celiktutan
IEEE International Conference on Intelligent Robots and Systems, 2023
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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 Transactions on Automation Science and Engineering, 2023
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Progressive Multi-Scale Fusion Network For RGB-D Salient Object Detection
Guangyu Ren, Yanchun Xie,
Tianhong Dai,
Tania Stathaki
Computer Vision and Image Understanding, 2022
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Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies
Nathan Wong, Sepehr Meshkinfamfard, Valérian Turbé, Mathew Whitaker, Maya Moshe, Alessia bardanzellu,
Tianhong Dai,
Eduardo Pignatelli, Wendy Barclay, Ara Darzi, Paul Elliott, Helen Ward, Reiko Tanaka, Graham Cooke, Rachel McKendry, Christina Atchison, Anil Anthony Bharath
Communications Medicine (Nature), 2022
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LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning
Tristan Tomilin,
Tianhong Dai,
Mykola Pechenizkiy, Meng Fang
IEEE Conference on Games, 2022
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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai,
Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath
Neurocomputing, 2022
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Adaptive Intra-Group Aggregation for Co-Saliency Detection
Guangyu Ren*,
Tianhong Dai*,
Tania Stathaki
International Conference on Acoustics, Speech and Signal Processing, 2022
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Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning
Tianhong Dai,
Yali Du, Meng Fang, Anil Anthony Bharath
Neurocomputing, 2021
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Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
Tianhong Dai,
Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
Pacific Rim International Conference on Artificial Intelligence, 2021
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Coupled Network for Robust Pedestrian Detection with Gated Multi-layer Feature Extraction and Deformable Occlusion Handling
Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki,
Tianhong Dai
IEEE Transactions on Imaging Processing, 2020
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Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection
Tianrui Liu, Jun-Jie Huang,
Tianhong Dai,
Guangyu Ren, Tania Stathaki
International Conference on Acoustics, Speech and Signal Processing, 2020
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Episodic Self-Imitation Learning with Hindsight
Tianhong Dai,
Hengyan Liu, Anil Anthony Bharath
Electronics, Special Issue on Deep Reinforcement Learning: Methods and Applications, 2020
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LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du, Lei Han, Meng Fang,
Tianhong Dai,
Ji Liu, Dacheng Tao
Advances in Neural Information Processing Systems, 2019
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A Maximum Entropy Deep Reinforcement Learning Neural Tracker
Shafa Balaram, Kai Arulkumaran,
Tianhong Dai,
Anil Anthony Bharath
International Workshop on Machine Learning in Medical Imaging (Conjunction with MICCAI), 2019
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Deep Reinforcement Learning for Subpixel Neural Tracking
Tianhong Dai,
Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatulzehra Uslu, Vincenzo de Paola, Claudia Clopath, and Anil Anthony Bharath
International Conference on Medical Imaging with Deep Learning (Spotlight), 2019
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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
International Conference on Medical Imaging with Deep Learning (Oral), 2019