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ORCIDXianming Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j93]Shiyi Lin
, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji:
Overhead-free Noise-tolerant Federated Learning: A New Baseline. Mach. Intell. Res. 21(3): 526-537 (2024)- [j92]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Reciprocal transformer for hyperspectral and multispectral image fusion. Inf. Fusion 104: 102148 (2024) - [j91]Xianming Liu, Shihong Wu, Wenrun Xiao, Chenhui Zhao, Chao Huang, Donghui Guo:
Performance improvement for the CMOS rail-to-rail amplifier via APSO-based design and SNN's training. Microelectron. J. 146: 106131 (2024) - [j90]Wenrun Xiao, Yanping Qiao, Xianming Liu, Xiaofeng Chen, Chao Huang, Donghui Guo:
A wideband inductorless LNA exploiting three-stage feedback and thermal noise canceling. Microelectron. J. 149: 106237 (2024) - [j89]Wenrun Xiao, Yanping Qiao, Xianming Liu, Xiaofeng Chen, Chao Huang, Donghui Guo:
A wideband inductorless LNA utilizing common-source noise-canceling and cascode configuration. Microelectron. J. 150: 106252 (2024) - [j88]Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao:
Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3577-3594 (2024) - [j87]Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 326-340 (2024) - [j86]Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji:
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. IEEE Trans. Computational Imaging 10: 560-573 (2024) - [j85]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. IEEE Trans. Computational Imaging 10: 1207-1220 (2024) - [j84]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9606-9619 (2024) - [j83]Xingyu Hu, Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion. IEEE Trans. Image Process. 33: 3950-3963 (2024) - [j82]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. IEEE Trans. Image Process. 33: 3964-3976 (2024) - [j81]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. IEEE Trans. Image Process. 33: 6071-6082 (2024) - [j80]Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7899-7910 (2024) - [j79]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12236-12250 (2024) - [j78]Gang Wu, Junjun Jiang, Xianming Liu:
A Practical Contrastive Learning Framework for Single-Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15834-15845 (2024) - [j77]Jinwang Pan, Xianming Liu, Yuanchao Bai, Deming Zhai, Junjun Jiang, Debin Zhao:
Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 254:1-254:23 (2024) - [c136]Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. AAAI 2024: 5318-5326 - [c135]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. AAAI 2024: 5976-5984 - [c134]Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma:
FMRNet: Image Deraining via Frequency Mutual Revision. AAAI 2024: 12892-12900 - [c133]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14 - [c132]Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CVPR 2024: 1303-1312 - [c131]Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang:
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. ECCV (24) 2024: 183-201 - [c130]Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR 2024 - [c129]Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji:
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. ICLR 2024 - [c128]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in image Super-Resolution. ICME 2024: 1-6 - [c127]Yuchen Pan, Junjun Jiang, Kui Jiang, Xianming Liu:
Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data. ACM Multimedia 2024: 5712-5721 - [c126]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. ACM Multimedia 2024: 6015-6023 - [c125]Jican Fu, Kui Jiang, Xianming Liu:
F4SR: A Feed-Forward Regression Approach for Few-Shot Face Super-Resolution. PRCV (8) 2024: 197-210 - [i91]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach. CoRR abs/2401.05633 (2024) - [i90]Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun:
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models. CoRR abs/2401.05870 (2024) - [i89]Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji:
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning. CoRR abs/2401.06548 (2024) - [i88]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu:
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. CoRR abs/2401.14007 (2024) - [i87]Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu:
A Comprehensive Survey on 3D Content Generation. CoRR abs/2402.01166 (2024) - [i86]Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu:
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR abs/2402.11791 (2024) - [i85]Jialei Xu, Xianming Liu, Junjun Jiang, Kui Jiang, Rui Li, Kai Cheng, Xiangyang Ji:
Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. CoRR abs/2402.11826 (2024) - [i84]Jian Liu, Sipeng Zhang, Chuixin Kong, Wenyuan Zhang, Yuhang Wu, Yikang Ding, Borun Xu, Ruibo Ming, Donglai Wei, Xianming Liu:
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction. CoRR abs/2402.18140 (2024) - [i83]Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CoRR abs/2402.18786 (2024) - [i82]Guoqing Zhang, Wenbo Zhao, Jian Liu, Xianming Liu:
REPS: Reconstruction-based Point Cloud Sampling. CoRR abs/2403.05047 (2024) - [i81]Yifan Mao, Jian Liu, Xianming Liu:
Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation. CoRR abs/2403.05056 (2024) - [i80]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in Image Super-Resolution. CoRR abs/2404.00260 (2024) - [i79]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR abs/2404.00992 (2024) - [i78]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - [i77]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression. CoRR abs/2405.01170 (2024) - [i76]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Mesh Denoising Transformer. CoRR abs/2405.06536 (2024) - [i75]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - [i74]Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Chunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu:
DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge. CoRR abs/2405.17102 (2024) - [i73]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR abs/2406.07828 (2024) - [i72]Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang:
AFBench: A Large-scale Benchmark for Airfoil Design. CoRR abs/2406.18846 (2024) - [i71]Guoqing Zhang, Wenbo Zhao, Jian Liu, Yuanchao Bai, Junjun Jiang, Xianming Liu:
PVContext: Hybrid Context Model for Point Cloud Compression. CoRR abs/2409.12724 (2024) - [i70]Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu:
MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. CoRR abs/2410.11394 (2024) - [i69]Pengwei Liang, Junjun Jiang, Qing Ma, Xianming Liu, Jiayi Ma:
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond. CoRR abs/2410.12274 (2024) - [i68]Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, Xianming Liu:
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends. CoRR abs/2410.15067 (2024) - [i67]Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. CoRR abs/2410.17814 (2024) - 2023
- [j76]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. ACM Comput. Surv. 55(2): 13:1-13:36 (2023) - [j75]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-Resolution: A Survey. ACM Comput. Surv. 55(14s): 301:1-301:36 (2023) - [j74]Wenrun Xiao, Jidong Diao, Yanping Qiao, Xianming Liu, Shan He, Donghui Guo:
Refined Self-calibration of an Inductorless Low-noise Amplifier with Non-intrusive Circuit. J. Electron. Test. 39(1): 41-55 (2023) - [j73]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. Mach. Intell. Res. 20(6): 837-854 (2023) - [j72]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92: 127-138 (2023) - [j71]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. Inf. Fusion 100: 101907 (2023) - [j70]Xianming Liu, Yinghui Chang, Weikang Wu, Zhixin Zhou, Hongyin Luo, Wenrun Xiao, Chao Huang, Donghui Guo:
Front-End Rectifier of Self-Compensation Matching with Parasitic Cancellation for Dual-Band RFID Tag. J. Circuits Syst. Comput. 32(18): 2350320:1-2350320:16 (2023) - [j69]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. J. Mach. Learn. Res. 24: 376:1-376:62 (2023) - [j68]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8094-8109 (2023) - [j67]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12394-12407 (2023) - [j66]Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang:
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote. Sens. 15(10): 2574 (2023) - [j65]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 435-448 (2023) - [j64]Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. IEEE Trans. Image Process. 32: 4114-4127 (2023) - [c124]Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li:
Thermal Image Super-Resolution Challenge Results - PBVS 2023. CVPR Workshops 2023: 470-478 - [c123]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c122]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR 2023: 22356-22366 - [c121]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2023: 1-11 - [c120]Xianming Liu, Xianwu Mi, Yujun Song:
An Automation Analog IC Parameter Optimizing Design Method Based on Bayesian Optimization. ICEITSA 2023: 95-100 - [c119]Yeganeh Gharedaghi, Gene Cheung, Xianming Liu:
Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. ICIP 2023: 2710-2714 - [c118]Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR 2023 - [c117]Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME 2023: 2549-2554 - [c116]Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji:
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. ICML 2023: 41399-41413 - [i66]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-resolution: A Survey. CoRR abs/2302.09598 (2023) - [i65]Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang:
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. CoRR abs/2303.11243 (2023) - [i64]Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu:
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR abs/2303.14324 (2023) - [i63]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-depth Properties of Transformer. CoRR abs/2303.15198 (2023) - [i62]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. CoRR abs/2304.02923 (2023) - [i61]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023) - [i60]Yeganeh Gharedaghi, Gene Cheung, Xianming Liu:
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer. CoRR abs/2307.02625 (2023) - [i59]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i58]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR abs/2307.16140 (2023) - [i57]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR abs/2309.06023 (2023) - [i56]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2311.05336 (2023) - [i55]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. CoRR abs/2312.07841 (2023) - 2022
- [j63]Yi Niu, Mingming Ma, Fu Li, Xianming Liu, Guangming Shi:
ACO: lossless quality score compression based on adaptive coding order. BMC Bioinform. 23(1): 219 (2022) - [j62]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. IEEE CAA J. Autom. Sinica 9(5): 878-892 (2022) - [j61]Zhenyu Li, Junjun Jiang, Xianming Liu:
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9(7): 1307-1310 (2022) - [j60]Changxing Jiang, Xiaohua Lei, Yuru Chen, Shaojie Lv, Xianming Liu, Peng Zhang:
Silicone Rubber Fabry-Perot Pressure Sensor Based on a Spherical Optical Fiber End Face. Sensors 22(5): 1862 (2022) - [j59]Yuru Chen, Xiaohua Lei, Lin Xiao, Peng Zhang, Xianming Liu:
Dynamic Distance Measurement Based on a Fast Frequency-Swept Interferometry. Sensors 22(13): 4771 (2022) - [j58]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Deep Unfolding Network for Spatiospectral Image Super-Resolution. IEEE Trans. Computational Imaging 8: 28-40 (2022) - [j57]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7317-7331 (2022) - [j56]Hai Ren, Li Liu, Sinisa Djurovic, Li Ran, Xianming Liu, Hao Feng, Philip Mawby:
In Situ Contact Pressure Monitoring of Press Pack Power Module Using FBG Sensors. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j55]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Trans. Image Process. 31: 648-663 (2022) - [j54]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31: 2950-2961 (2022) - [j53]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. IEEE Trans. Multim. 24: 3961-3977 (2022) - [j52]Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(2): 839-852 (2022) - [j51]Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu:
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 30:1-30:17 (2022) - [j50]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 64:1-64:15 (2022) - [c115]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. AAAI 2022: 104-112 - [c114]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. AAAI 2022: 1500-1508 - [c113]Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. AAAI 2022: 3446-3453 - [c112]Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma: