Tianhong Dai - RankMe

46 papers A* 4A 1B 2C 1Misc 3Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACDC: Adaptive Curriculum Planning with Dynamic Contrastive Control for Goal-Conditioned Reinforcement Learning in Robotic Manipulation. CoRR Xuerui Wang, Guangyu Ren, Tianhong Dai, Bintao Hu, Shuangyao Huang, Wenzhang Zhang, Hengyan Liu
2025	J	`jnl`	Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. Eng. Appl. Artif. Intell. Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Jimin Xiao, Fei Ma, Renrong Ouyang
2025	J	`jnl`	Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation. Neurocomputing Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	A*	`conf`	POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation. CVPR Jian Wang, Tianhong Dai, Bingfeng Zhang, Siyue Yu, Eng Gee Lim, Jimin Xiao
2024	J	`jnl`	APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	—	`conf`	Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. MICCAI (11) Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte
2024	J	`jnl`	Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. CoRR Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte
2024	J	`jnl`	Class Activation Map Calibration for Weakly Supervised Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. Jian Wang, Tianhong Dai, Xinqiao Zhao, Ángel F. García-Fernández, Eng Gee Lim, Jimin Xiao
2024	A*	`conf`	Cross Domain Policy Transfer with Effect Cycle-Consistency. ICRA Ruiqi Zhu, Tianhong Dai, Oya Çeliktutan
2024	J	`jnl`	Cross Domain Policy Transfer with Effect Cycle-Consistency. CoRR Ruiqi Zhu, Tianhong Dai, Oya Çeliktutan
2024	Misc	`conf`	Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. ICASSP Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	B	`conf`	Multimodal Frequeny Spectrum Fusion Schema for RGB-T Image Semantic Segmentation. ICCCN Hengyan Liu, Wenzhang Zhang, Tianhong Dai, Longfei Yin, Guangyu Ren
2024	A*	`conf`	PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation. CVPR Xinqiao Zhao, Ziqian Yang, Tianhong Dai, Bingfeng Zhang, Jimin Xiao
2024	B	`conf`	Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. SMC Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	J	`jnl`	Wavelet-based network for high dynamic range imaging. Comput. Vis. Image Underst. Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
2023	—	`conf`	Application of IMVR Convolutional Neural Networks to Classification of Land Use Remote Sensing Datasets. CyberC Yuanzhen Shuai, Ning Xin, Md Maruf Hasan, Bintao Hu, Tianhong Dai, Hengyan Liu
2023	J	`jnl`	Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction. IEEE Trans Autom. Sci. Eng. Aiyu Zhu, Tianhong Dai, Gangyan Xu, Pieter Pauwels, Bauke de Vries, Meng Fang
2023	J	`jnl`	Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2023	A	`conf`	Learning to Solve Tasks with Exploring Prior Behaviours. IROS Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Learning to Solve Tasks with Exploring Prior Behaviours. CoRR Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2022	J	`jnl`	A novel two-stage method of plant seedlings classification based on deep learning. J. Intell. Fuzzy Syst. Tianhong Dai, Shijie Cong, Jianping Huang, Yanwen Zhang, Xinwang Huang, Qiancheng Xie, Chunxue Sun, Kexin Li
2022	Misc	`conf`	Adaptive Intra-Group Aggregation for Co-Saliency Detection. ICASSP Guangyu Ren, Tianhong Dai, Tania Stathaki
2022	J	`jnl`	Analysing deep reinforcement learning agents trained with domain randomisation. Neurocomputing Tianhong Dai, Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath
2022	J	`jnl`	Diversity-augmented intrinsic motivation for deep reinforcement learning. Neurocomputing Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath
2022	C	`conf`	LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. CoG Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy
2022	—	`conf`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 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
2022	J	`jnl`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR 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
2022	J	`jnl`	Progressive multi-scale fusion network for RGB-D salient object detection. Comput. Vis. Image Underst. Guangyu Ren, Yanchun Xie, Tianhong Dai, Tania Stathaki
2022	J	`jnl`	SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes. CoRR Wei Li, Shuai Xiao, Tianhong Dai, Shanxin Yuan, Tao Wang, Cheng Li, Fenglong Song
2021	J	`jnl`	Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. IEEE Trans. Image Process. Tianrui Liu, Wenhan Luo, Lin Ma, Junjie Huang, Tania Stathaki, Tianhong Dai
2021	—	`conf`	Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. PRICAI (3) Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
2021	J	`jnl`	Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay. CoRR Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
2021	J	`jnl`	Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection. CoRR Guangyu Ren, Yanchu Xie, Tianhong Dai, Tania Stathaki
2021	J	`jnl`	Wavelet-Based Network For High Dynamic Range Imaging. CoRR Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
2020	J	`jnl`	Episodic Self-Imitation Learning with Hindsight. CoRR Tianhong Dai, Hengyan Liu, Anil Anthony Bharath
2020	Misc	`conf`	Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. ICASSP Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki
2020	J	`jnl`	Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network. CoRR Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis, Tania Stathaki
2019	—	`conf`	A Maximum Entropy Deep Reinforcement Learning Neural Tracker. MLMI@MICCAI Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath
2019	J	`jnl`	Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. CoRR Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath
2019	J	`jnl`	Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. CoRR Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai
2019	—	`conf`	Deep Reinforcement Learning for Subpixel Neural Tracking. MIDL Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath
2019	J	`jnl`	Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. CoRR Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki
2019	—	`conf`	Image Synthesis with a Convolutional Capsule Generative Adversarial Network. MIDL Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath
2019	A*	`conf`	LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. NeurIPS Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
2016	J	`jnl`	Bioluminescence-Sensing Assay for Microbial Growth Recognition. J. Sensors Heba Ramadan Eed, Nora Saeed Abdel-Kader, Mahmoud Helmy El Tahan, Tianhong Dai, Rehab Amin