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2020 – today
- 2024
[j103]Jiangbei Hu
, Ying He, Baixin Xu, Shengfa Wang, Na Lei, Zhongxuan Luo:
IF-TONIR: Iteration-free Topology Optimization based on Implicit Neural Representations. Comput. Aided Des. 167: 103639 (2024)- [j102]Junyi Duan, Xiaopeng Zheng, Na Lei, Zhongxuan Luo:
Singularity structure simplification for hex mesh via integer linear program. Comput. Aided Des. 168: 103654 (2024) - [j101]Yuan Bao, Sibo Yang, Zhaoliang Meng, Chaobin Liu, Zhongxuan Luo:
A second-order convergent nonconforming polynomial stokes element on quadrilateral meshes. Comput. Appl. Math. 43(6): 327 (2024) - [j100]Jinyuan Liu, Runjia Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan:
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion. Int. J. Comput. Vis. 132(5): 1748-1775 (2024) - [j99]Zezeng Li, Shenghao Li, Lianbao Jin, Na Lei, Zhongxuan Luo:
OT-net: a reusable neural optimal transport solver. Mach. Learn. 113(3): 1243-1268 (2024) - [j98]Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, Zhongxuan Luo:
A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6594-6609 (2024) - [j97]Jiangbei Hu, Shengfa Wang, Ying He, Zhongxuan Luo, Na Lei, Ligang Liu:
A Parametric Design Method for Engraving Patterns on Thin Shells. IEEE Trans. Vis. Comput. Graph. 30(7): 3719-3730 (2024) - [c79]Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu:
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. CVPR 2024: 11726-11735 - [i42]Wei Chen, Yuxue Ren, Na Lei, Zhongxuan Luo, Xianfeng Gu:
Global Parameterization-based Texture Space Optimization. CoRR abs/2406.04115 (2024) - [i41]Xingjian Han, Yu Jiang, Weiming Wang, Guoxin Fang, Simeon Gill, Zhiqiang Zhang, Shengfa Wang, Jun Saito, Deepak Kumar, Zhongxuan Luo, Emily Whiting, Charlie C. L. Wang:
Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures. CoRR abs/2408.16659 (2024) - 2023
- [j96]Yu Jiang, Jiangbei Hu, Shengfa Wang, Na Lei, Zhongxuan Luo, Ligang Liu:
Meshless Optimization of Triply Periodic Minimal Surface Based Two-Fluid Heat Exchanger. Comput. Aided Des. 162: 103554 (2023) - [j95]Jun Yang, Jiangbei Hu, Shengfa Wang, Na Lei, Zhongxuan Luo:
Differentiable Channel Design for Enhancing Manufacturability of Enclosed Cavities. Comput. Aided Des. 162: 103558 (2023) - [j94]Shengfa Wang, Zheng Liu, Jiangbei Hu, Na Lei, Zhongxuan Luo:
An Efficient Self-supporting Infill Structure for Computational Fabrication. Comput. Graph. Forum 42(7) (2023) - [j93]Chenping Fu, Risheng Liu, Xin Fan, Puyang Chen, Hao Fu, Wanqi Yuan, Ming Zhu, Zhongxuan Luo:
Rethinking general underwater object detection: Datasets, challenges, and solutions. Neurocomputing 517: 243-256 (2023) - [j92]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5953-5969 (2023) - [j91]Sibo Yang, Shusheng Wang, Lanyin Sun, Zhongxuan Luo, Yuan Bao:
Output Layer Structure Optimization for Weighted Regularized Extreme Learning Machine Based on Binary Method. Symmetry 15(1): 244 (2023) - [j90]Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo:
Learning Heavily-Degraded Prior for Underwater Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6887-6896 (2023) - [j89]Qi Jia, Xin Fan, Yang Yang, Xuxu Liu, Zhongxuan Luo, Qian Wang, Xinchen Zhou, Longin Jan Latecki:
Characteristic Mapping for Ellipse Detection Acceleration. IEEE Trans. Image Process. 32: 2568-2579 (2023) - [j88]Xin Fan, Zi Li, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, Hao Huang:
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. IEEE Trans. Image Process. 32: 4880-4892 (2023) - [j87]Risheng Liu, Zhu Liu, Pan Mu, Xin Fan, Zhongxuan Luo:
Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision. IEEE Trans. Image Process. 32: 6075-6089 (2023) - [j86]Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, Zhongxuan Luo:
Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model. IEEE Trans. Multim. 25: 3573-3586 (2023) - [c78]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. ICCV 2023: 8081-8090 - [c77]Zezeng Li, Shenghao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng David Gu:
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport. ICCV 2023: 22567-22576 - [c76]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. ACM Multimedia 2023: 7758-7766 - [i40]Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, Zhongxuan Luo:
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion. CoRR abs/2305.15862 (2023) - [i39]Zezeng Li, Shenghao Li, Lianbao Jin, Na Lei, Zhongxuan Luo:
OT-Net: A Reusable Neural Optimal Transport Solver. CoRR abs/2306.08233 (2023) - [i38]Zezeng Li, Shenghao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng Gu:
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport. CoRR abs/2307.11308 (2023) - [i37]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. CoRR abs/2308.02097 (2023) - [i36]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. CoRR abs/2308.03381 (2023) - [i35]Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo:
Learning Heavily-Degraded Prior for Underwater Object Detection. CoRR abs/2308.12738 (2023) - 2022
- [j85]Shengfa Wang, Yu Jiang, Jiangbei Hu, Xin Fan, Zhongxuan Luo, Yongjin Liu, Ligang Liu:
Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. Comput. Aided Des. 142: 103123 (2022) - [j84]Longfei Zhang, Shengfa Wang, Baojun Li, Yi Wang, Zhongxuan Luo, Ligang Liu:
Function Representation Based Analytic Shape Hollowing Optimization. Comput. Aided Des. 144: 103156 (2022) - [j83]Xinchen Zhou, Zhaoliang Meng, Xin Fan, Zhongxuan Luo:
High accuracy analysis of a nonconforming rectangular finite element method for the Brinkman model. Comput. Appl. Math. 41(6) (2022) - [j82]Bo Fu, Liyan Wang, Zhongxuan Luo:
A Robust Image Denoising Method With Multiview Texture-Aware Convolutional Neural Networks. IEEE Multim. 29(3): 80-90 (2022) - [j81]Zhaoliang Meng, Jintao Cui, Zhongxuan Luo:
Effect of numerical integration on a new rotated nonconforming quadrilateral element. J. Comput. Appl. Math. 402: 113798 (2022) - [j80]Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo:
Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7688-7704 (2022) - [j79]Tiantian Yan, Jian Shi, Haojie Li, Zhongxuan Luo, Zhihui Wang:
Discriminative information restoration and extraction for weakly supervised low-resolution fine-grained image recognition. Pattern Recognit. 127: 108629 (2022) - [j78]Yuan Bao, Zhaobin Liu, Zhongxuan Luo, Sibo Yang:
Smooth Group L1/2 Regularization for Pruning Convolutional Neural Networks. Symmetry 14(1): 154 (2022) - [j77]Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, Zhongxuan Luo:
Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion. IEEE Trans. Circuits Syst. Video Technol. 32(1): 105-119 (2022) - [j76]Tiantian Yan, Haojie Li, Baoli Sun, Zhihui Wang, Zhongxuan Luo:
Discriminative Feature Mining and Enhancement Network for Low-Resolution Fine-Grained Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5319-5330 (2022) - [j75]Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3425-3436 (2022) - [j74]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5666-5680 (2022) - [j73]Jiangbei Hu, Shengfa Wang, Baojun Li, Fengqi Li, Zhongxuan Luo, Ligang Liu:
Efficient Representation and Optimization for TPMS-Based Porous Structures. IEEE Trans. Vis. Comput. Graph. 28(7): 2615-2627 (2022) - [c75]Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo:
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. CVPR 2022: 4703-4712 - [c74]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CVPR 2022: 5627-5636 - [c73]Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo:
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. CVPR 2022: 5792-5801 - [c72]Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo:
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion. ECCV (18) 2022: 539-555 - [c71]Ziyang Li, Zi Li, Risheng Liu, Zhongxuan Luo, Xin Fan:
Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation. ISBI 2022: 1-5 - [c70]Bo Fu, Yuanxin Mao, Shilin Fu, Yonggong Ren, Zhongxuan Luo:
Blindfold Attention: Novel Mask Strategy for Facial Expression Recognition. ICMR 2022: 624-630 - [c69]Tengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu:
PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. ACM Multimedia 2022: 2070-2078 - [c68]Xiaolin Wang, Ziyang Li, Zi Li, Yun Peng, Di Hu, Huanyu Luo, Huanjie Li, Zhongxuan Luo, Xin Fan:
DeepEnReg: Joint Enhancement and Affine Registration for Low-contrast Medical Images. PRCV (2) 2022: 152-163 - [i34]Zi Li, Ziyang Li, Risheng Liu, Zhongxuan Luo, Xin Fan:
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. CoRR abs/2203.06810 (2022) - [i33]Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo:
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. CoRR abs/2203.16220 (2022) - [i32]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CoRR abs/2204.10137 (2022) - [i31]Jinyuan Liu, Runjia Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan:
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion. CoRR abs/2211.10960 (2022) - [i30]Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu:
Practical Exposure Correction: Great Truths Are Always Simple. CoRR abs/2212.14245 (2022) - 2021
- [j72]Xinchen Zhou, Zhaoliang Meng, Xin Fan, Zhongxuan Luo:
Robust nonconforming polynomial finite elements over quadrilaterals. Int. J. Comput. Math. 98(4): 758-782 (2021) - [j71]Yi Wang, Yi Ding, Xiangjian He, Xin Fan, Chi Lin, Fengqi Li, Tianzhu Wang, Zhongxuan Luo, Jiebo Luo:
Novelty Detection and Online Learning for Chunk Data Streams. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2400-2412 (2021) - [j70]Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1366-1379 (2021) - [j69]Risheng Liu, Jinyuan Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo:
A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion. IEEE Trans. Image Process. 30: 1261-1274 (2021) - [j68]Xin Fan, Shichao Cheng, Kang Huyan, Minjun Hou, Risheng Liu, Zhongxuan Luo:
Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction. IEEE Trans. Multim. 23: 1252-1263 (2021) - [j67]Risheng Liu, Qianru Chen, Yuansheng Yao, Xin Fan, Zhongxuan Luo:
Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2430-2442 (2021) - [c67]Wei Zhong, Xiaodong Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Multi-scale Underexposure Image Correction. CICAI 2021: 252-263 - [c66]Zi Li, Xin Fan, Risheng Liu, Zhongxuan Luo:
Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration. CICAI 2021: 264-275 - [c65]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement. CVPR 2021: 10561-10570 - [c64]Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring. ICASSP 2021: 2065-2069 - [c63]Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo:
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection. ICCV 2021: 1533-1543 - [c62]Bo Fu, Liyan Wang, Zhongxuan Luo:
Robust Image Denoising with Texture-Aware Neural Network. ICME 2021: 1-6 - [c61]Zhuoxiao Li, Jinyuan Liu, Risheng Liu, Xin Fan, Zhongxuan Luo, Wen Gao:
Multiple Task-Oriented Encoders for Unified Image Fusion. ICME 2021: 1-6 - [c60]Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining. ICME 2021: 1-6 - [c59]Yuansheng Yao, Risheng Liu, Jiaao Zhang, Wei Zhong, Xin Fan, Zhongxuan Luo:
Hardware-Aware Low-Light Image Enhancement via One-Shot Neural Architecture Search with Shrinkage Sampling. ICME 2021: 1-6 - [c58]Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining. ICME 2021: 1-6 - [c57]Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement. ICME 2021: 1-6 - [c56]Chi Lin, Yongda Yu, Jie Xiong, Yichuan Zhang, Lei Wang, Guowei Wu, Zhongxuan Luo:
Shrimp: a robust underwater visible light communication system. MobiCom 2021: 134-146 - [c55]Zhu Liu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo, Yuduo Zhang:
Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining. PRCV (3) 2021: 16-28 - [c54]Dongxiang Shi, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Semantic-Driven Context Aggregation Network for Underwater Image Enhancement. PRCV (3) 2021: 29-40 - [i29]Zhiwei Ma, Haojie Li, Zhihui Wang, Dan Yu, Tianyi Wang, Yingshuang Gu, Xin Fan, Zhongxuan Luo:
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset. CoRR abs/2108.11727 (2021) - [i28]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. CoRR abs/2112.04719 (2021) - [i27]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. CoRR abs/2112.05147 (2021) - 2020
- [j66]Haohao Li, Zhixun Su, Nannan Li, Ximin Liu, Shengfa Wang, Zhongxuan Luo:
Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian. Comput. Aided Geom. Des. 81: 101910 (2020) - [j65]Shichao Cheng, Risheng Liu, Yi He, Xin Fan, Zhongxuan Luo:
Blind image deblurring via hybrid deep priors modeling. Neurocomputing 387: 334-345 (2020) - [j64]Xinchen Zhou, Zhaoliang Meng, Xin Fan, Zhongxuan Luo:
Analysis of two low-order equal-order finite element pairs for Stokes equations over quadrilaterals. J. Comput. Appl. Math. 364 (2020) - [j63]Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo:
On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3027-3039 (2020) - [j62]Tiantian Yan, Shijie Wang, Zhihui Wang, Haojie Li, Zhongxuan Luo:
Progressive learning for weakly supervised fine-grained classification. Signal Process. 171: 107519 (2020) - [j61]Long Ma, Dian Jin, Risheng Liu, Xin Fan, Zhongxuan Luo:
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement. IEEE Signal Process. Lett. 27: 1210-1214 (2020) - [j60]Risheng Liu, Xin Fan, Ming Zhu, Minjun Hou, Zhongxuan Luo:
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4861-4875 (2020) - [j59]Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. IEEE Trans. Image Process. 29: 7629-7640 (2020) - [j58]Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan:
A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling. IEEE Trans. Medical Imaging 39(12): 4150-4163 (2020) - [j57]Risheng Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo:
Knowledge-Driven Deep Unrolling for Robust Image Layer Separation. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1653-1666 (2020) - [c53]Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo:
Wasserstein Loss based Deep Object Detection. CVPR Workshops 2020: 4299-4305 - [c52]Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
Image Restoration Via Data-Dependent Proximal Averaged Optimization. ICASSP 2020: 2088-2092 - [c51]Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo:
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. ICASSP 2020: 2638-2642 - [c50]Tian Xie, Ruike Zhang, Jingchao Liang, Qi Jia, Xin Fan, Zhongxuan Luo:
An Efficient Ellipse Detector Based On Region Detection And Arc Pruning. ICIP 2020: 2890-2894 - [c49]Dongsheng An, Yang Guo, Na Lei, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu:
Ae-OT: a New Generative Model based on Extended Semi-discrete Optimal transport. ICLR 2020 - [c48]Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo:
Flexible Bilevel Image Layer Modeling For Robust Deraining. ICME 2020: 1-6 - [c47]Xiaofeng Liu, Risheng Liu, Ming Zhu, Wei Zhong, Xin Fan, Zhongxuan Luo, Wanhui Zhang:
A Real Time Multi-thread Underwater Images Enhancement System*. ICSSE 2020: 1-5 - [c46]Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Bi-level Probabilistic Feature Learning for Deformable Image Registration. IJCAI 2020: 723-730 - [c45]Yuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo:
Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration. ISBI 2020: 86-90 - [c44]Zhengxin Fan, Lei Wang, Bingxian Lu, Yongda Yu, Chi Lin, Zhongxuan Luo, Zhenquan Qin, Ming Zhu:
A Link Scheduling Algorithm for Underwater Optical Wireless Networks. Networking 2020: 827-832 - [c43]Long Ma, Jie Lin, Jingjie Shang, Wei Zhong, Xin Fan, Zhongxuan Luo, Risheng Liu:
Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement. PRCV (1) 2020: 291-302 - [i26]Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan:
A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration. CoRR abs/2004.14557 (2020) - [i25]Xiaopeng Zheng, Yiming Zhu, Na Lei, Zhongxuan Luo, Xianfeng Gu:
Quadrilateral Mesh Generation III: Optimizing Singularity Configuration Based on Abel-Jacobi Theory. CoRR abs/2007.07334 (2020) - [i24]Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo:
Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. CoRR abs/2012.05435 (2020) - [i23]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement. CoRR abs/2012.05609 (2020)
2010 – 2019
- 2019
- [j56]Nannan Li, Shengfa Wang, Risheng Liu, Ziqiao Guan, Zhixun Su, Zhongxuan Luo, Hong Qin:
Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. Comput. Aided Geom. Des. 72: 111-125 (2019) - [j55]Pan Mu, Jian Chen, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Bilevel Layer Priors for Single Image Rain Streaks Removal. IEEE Signal Process. Lett. 26(2): 307-311 (2019) - [j54]Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo:
Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications. IEEE Trans. Image Process. 28(10): 5013-5026 (2019) - [j53]Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang:
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2973-2986 (2019) - [j52]He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo, Xindong Wu, Zhongxuan Luo:
Recommending New Features from Mobile App Descriptions. ACM Trans. Softw. Eng. Methodol. 28(4): 22:1-22:29 (2019) - [j51]Xin Fan, Xianxuan Tang, Minjun Hou, Zhongxuan Luo:
Fast example searching for input-adaptive data-driven dehazing with Gaussian process regression. Vis. Comput. 35(4): 565-577 (2019) - [j50]Jiangbei Hu, Shengfa Wang, Yi Wang, Fengqi Li, Zhongxuan Luo:
A lightweight methodology of 3D printed objects utilizing multi-scale porous structures. Vis. Comput. 35(6-8): 949-959 (2019) - [c42]