Tianhong Dai

Orcid: 0000-0001-8904-1551

According to our database1, Tianhong Dai authored at least 33 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation.
Eng. Appl. Artif. Intell., 2025

2024
Class Activation Map Calibration for Weakly Supervised Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., November, 2024

Wavelet-based network for high dynamic range imaging.
Comput. Vis. Image Underst., January, 2024

APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation.
CoRR, 2024

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross Domain Policy Transfer with Effect Cycle-Consistency.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Multimodal Frequeny Spectrum Fusion Schema for RGB-T Image Semantic Segmentation.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction.
IEEE Trans Autom. Sci. Eng., July, 2023

Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation.
CoRR, 2023

Learning to Solve Tasks with Exploring Prior Behaviours.
IROS, 2023

Application of IMVR Convolutional Neural Networks to Classification of Land Use Remote Sensing Datasets.
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.
J. Intell. Fuzzy Syst., 2022

Diversity-augmented intrinsic motivation for deep reinforcement learning.
Neurocomputing, 2022

Analysing deep reinforcement learning agents trained with domain randomisation.
Neurocomputing, 2022

Progressive multi-scale fusion network for RGB-D salient object detection.
Comput. Vis. Image Underst., 2022

SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes.
CoRR, 2022

Adaptive Intra-Group Aggregation for Co-Saliency Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022


LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.
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.
IEEE Trans. Image Process., 2021

Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection.
CoRR, 2021

Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020
Episodic Self-Imitation Learning with Hindsight.
CoRR, 2020

Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network.
CoRR, 2020

Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.
CoRR, 2019

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.
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.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

A Maximum Entropy Deep Reinforcement Learning Neural Tracker.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2016
Bioluminescence-Sensing Assay for Microbial Growth Recognition.
J. Sensors, 2016


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