Luo, Zhongxuan

21 publications

CVPR 2024 Bi-Level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu

MLJ 2024 OT-Net: A Reusable Neural Optimal Transport Solver Zezeng Li, Shenghao Li, Lianbao Jin, Na Lei, Zhongxuan Luo

ICCV 2023 DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport Zezeng Li, Shenghao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, David Xianfeng Gu

ICCV 2023 Multi-Interactive Feature Learning and a Full-Time Multi-Modality Benchmark for Image Fusion and Segmentation Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan

ECCV 2022 ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo

CVPR 2022 Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo

CVPR 2022 Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo

CVPR 2022 Toward Fast, Flexible, and Robust Low-Light Image Enhancement Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

ICCV 2021 Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo

CVPR 2021 Retinex-Inspired Unrolling with Cooperative Prior Architecture Search for Low-Light Image Enhancement Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo

ICLR 2020 Ae-Ot: A New Generative Model Based on Extended Semi-Discrete Optimal Transport Dongsheng An, Yang Guo, Na Lei, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu

IJCAI 2020 Bi-Level Probabilistic Feature Learning for Deformable Image Registration Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo

CVPRW 2020 Wasserstein Loss Based Deep Object Detection Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

AAAI 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo

NeurIPS 2018 A Bridging Framework for Model Optimization and Deep Propagation Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo

IJCAI 2018 Fast Factorization-Free Kernel Learning for Unlabeled Chunk Data Streams Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo

AAAI 2018 Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo

AAAI 2018 Self-Reinforced Cascaded Regression for Face Alignment Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo

IJCAI 2018 Toward Designing Convergent Deep Operator Splitting Methods for Task-Specific Nonconvex Optimization Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo

AAAI 2017 Fast Online Incremental Learning on Mixture Streaming Data Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo

ECCV 2016 Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views Qi Jia, Xinkai Gao, Xin Fan, Zhongxuan Luo, Haojie Li, Ziyao Chen