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Hossein Rahmani
Professor in Computer Vision and Machine Learning
School of Computing and Communications
Lancaster University
Email: h.rahmani AT lancaster.ac.uk
I am a Professor at the School of Computing and Communications, Lancaster University (LU). I am currently looking for motivated PhD students and Postdocs with strong interests in computer vision and machine learning. If interested, kindly contact me via email.
Editorial Activities:
Area Chair: CVPR'25, CVPR'24, ICLR'25, ECCV'24
Senior PC: IJCAI'24, IJCAI'23.
Associate Editor: IEEE Transactions on Neural Networks and Learning Systems (2023-present); Pattern Recognition (2024-present); ACM Computing Surveys (2024-present);
Research Interests:
Computer Vision, Machine Learning, Video Analysis, Action Recognition/Detection, Object/Human Pose Estimation
News:
Two (2) papers accepted at CVPR'25 (Feb 2025)
One paper accepted at ICLR'25 and ICRA'25 (Jan 2025)
One paper on discontinuity-aware image rendering accepted at NeurIPS'24 (Sep 2024)
Serving as an Area Chair for ICLR'25 and CVPR'25 (Sep 2024)
Four (4) papers accepted at ECCV'24 (July 2024)
Two (2) papers accepted at CVPR'24 (Feb 2024)
Serving as an Area Chair for ECCV'24
Serving as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
A paper on Centerline Detection accepted at Pattern Recognition (Sep 2023)
Serving as an Area Chair for CVPR'24
One paper on diffusion based human mesh recovery accepted at ICCV'23 (July 2023)
Selected as CVPR 2023 Outstanding Reviewer (May 2023)
A paper on Adversarial Attack on Dynamic Networks accepted at TPAMI (March 2023)
Four (4) papers accepted at CVPR'23 (Feb 2023)
One paper accepted at ICRA'23 (Jan 2023)
Serving as IJCAI'23 Senior Program Committee member (Dec 2022)
Selected as ECCV 2022 Outstanding Reviewer (August 2022)
Four (4) papers accepted at ECCV'22 (July 2022)
A survey paper on Human Action Recognition from Various Data Modalities accepted at TPAMI (June 2022)
Two (2) papers accepted at CVPR'22 (March 2022)
One paper accepted at AAAI'22 (Jan 2022)
One paper accepted at ICCV'21 (July 2021)
Selected Publications (Google Scholar)
Zhouling Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, "LongDiff: Training-Free Long Video Generation in One Go", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu, "An Image-like Diffusion Method for Human-Object Interaction Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan Williams, "3D Points Splatting for Real-Time Dynamic Hand Reconstruction", Pattern Recognition (PR), 2025.
Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao, GaussianBlock: Building Part-aware Compositional and Editable 3D Scene by Primitives and Gaussians, International Conference on Learning Representations (ICLR), 2025.
Jian Liu, Wei Sun, Hui Yang, Jin Zheng, Zichen Geng, Hossein Rahmani, Ajmal Mian, MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model, IEEE International Conference on Robotics and Automation (ICRA), 2025.
Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu, DisC-GS: Discontinuity-aware Gaussian Splatting, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Wenxiao Zhang, Hossein Rahmani, Jun Liu, "Reverse2Complete: Unpaired Multimodal Point Cloud Completion via Guided Diffusion", ACM Multimedia, 2024.
Feixiang Zhou, Bryan Williams, Hossein Rahmani, "Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization", European Conference on Computer Vision (ECCV), 2024.
Xinyu Yang, Hossein Rahmani, Sue Black, Bryan Williams, "Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation", European Conference on Computer Vision (ECCV), 2024.
Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu, "Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers", European Conference on Computer Vision (ECCV), 2024.
Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu, "Class-Agnostic Object Counting with Text-to-Image Diffusion Model", European Conference on Computer Vision (ECCV), 2024.
Tianjiao Li, Lin Geng Foo, Hossein Rahmani, Jun Liu, "Action Detection Via an Image Diffusion Process", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu, "LLMs are Sign Language Translators", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Huiyu Zhou, Sue Black, Bryan Williams, "Deep Oriented Distance-transform Network for Geometric-aware Centerline Detection", Pattern Recognition (PR), 2023.
Lin Geng Foo , Jia Gong, Hossein Rahmani, Jun Liu, "Distribution-Aligned Diffusion for Human Mesh Recovery", International Conference on Computer Vision (ICCV), 2023.
Jianhong Pan, Lin Geng Foo, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu, "GradMDM: Adversarial Attack on Dynamic Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu, "Progressive Channel-Shrinking Network", IEEE Transactions on Multimedia (TMM), 2023.
Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu, "DiffPose: Toward More Reliable 3D Pose Estimation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan Williams, "A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu, "Token Boosting for Robust Self-Supervised Visual Transformer Pre-training", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, "Unified Pose Sequence Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun, "Reinforced Learning for Label-Efficient 3D Face Reconstruction", IEEE International Conference on Robotics and Automation (ICRA), 2023.
Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, "ERA: Expert Retrieval and Assembly for Early Action Prediction", European Conference on Computer Vision (ECCV), 2022.
Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu, "GradAuto: Energy-oriented Attack on Dynamic Neural Networks", European Conference on Computer Vision (ECCV), 2022.
Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu, "Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition", European Conference on Computer Vision (ECCV), 2022.
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu, "IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition", European Conference on Computer Vision (ECCV), 2022.
Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu, "Human Action Recognition from various Data Modalities: A Review", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu, "Meta Agent Teaming Active Learning for Pose Estimation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral)
Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan Williams, "Graph-context Attention Networks for Size-varied Deep Graph Matching", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu, "REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos", AAAI Conference on Artificial Intelligence (AAAI), 2022.
Jun Yue, Leyuan Fang, Hossein Rahmani, Pedram Ghamisi, "Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification", EEE Transactions on Geoscience and Remote Sensing (TGRS), 2022.
Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu, "Else-Net: Elastic Semantic Network for Action Recognition from Skeleton Data", IEEE International Conference on Computer Vision (ICCV), 2021.
Qiuhong. Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaid, "Learning Latent Global Network for Skeleton-Based Action Prediction", IEEE Transactions on Image Processing (TIP), 2020.
Jian Liu, Hossein Rahmani, Naveed Akhtar, Ajmal Mian, "Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition", International Journal on Computer Vision (IJCV), 2019.
Hossein Rahmani, Ajmal Mian, Mubarak Shah, "Learning a Deep Model for Human Action Recognition from Novel Viewpoints,"IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)., 2018.
Hossein Rahmani, Mohammed Bennamoun, "Learning Action Recognition Model From Depth and Skeleton Videos", IEEE International Conference on Computer Vision (ICCV), 2017.
Hossein Rahmani, Ajmal Mian, "3D Action Recognition from Novel Viewpoints", accepted in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral)
Hossein Rahmani, Arif Mahmood, Du Huynh, Ajmal Mian, “Histogram of Oriented Principal Components for Cross-view Action Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.
Hossein Rahmani, Ajmal Mian, "Learning a Non-linear Knowledge Transfer Model for Cross-View Action Recognition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Hossein Rahmani, Arif Mahmood, Du Huynh, Ajmal Mian, "HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition", European Conference on Computer Vision (ECCV), 2014.
Hossein Rahmani, Arif Mahmood, Du Huynh, Ajmal Mian, "Action Classification with Locality-Constrained Linear Coding," Int. Conference on Pattern Recognition (ICPR), 2014. (Best Scientific Paper Award)