Xianming Liu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 227

Top Venues

CoRR

IEEE Trans. Image Process.

ICIP

CVPR

Publications

Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Mesh Denoising Transformer. CoRR (2024)
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 (2024)
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 (2024)
Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. IEEE Trans. Image Process. 33 (2024)
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 (2024)
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. CoRR (2024)
Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma
FMRNet: Image Deraining via Frequency Mutual Revision. AAAI (2024)
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Exploiting Self-Supervised Constraints in Image Super-Resolution. CoRR (2024)
Yifan Mao, Jian Liu, Xianming Liu
Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation. CoRR (2024)
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)
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. AAAI (2024)
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) (2024)
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 (2024)
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR (2024)
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
Reciprocal transformer for hyperspectral and multispectral image fusion. Inf. Fusion 104 (2024)
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 (2024)
Jialei Xu, Xianming Liu, Junjun Jiang, Xiangyang Ji
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR (2024)
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) (2024)
Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach. CoRR (2024)
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 (2024)
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) (2024)
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 (2024)
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR (2024)
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 (2024)
Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CoRR (2024)
Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning. CoRR (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2024)
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 (2024)
Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. AAAI (2024)
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 (2024)
Guoqing Zhang, Wenbo Zhao, Jian Liu, Xianming Liu
REPS: Reconstruction-based Point Cloud Sampling. CoRR (2024)
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 (2024)
Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote. Sens. 15 (10) (2023)
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 (2023)
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. Inf. Fusion 100 (2023)
Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR (2023)
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR (2023)
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) (2023)
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)
Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92 (2023)
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) (2023)
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu
Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR (2023)
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 (2023)
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) (2023)
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 (2023)
Xianming Liu, Xianwu Mi, Yujun Song
An Automation Analog IC Parameter Optimizing Design Method Based on Bayesian Optimization. ICEITSA (2023)
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 (2023)
Yeganeh Gharedaghi, Gene Cheung, Xianming Liu
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer. CoRR (2023)
Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME (2023)
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) (2023)
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)
Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma
Deep Learning-based Face Super-resolution: A Survey. ACM Comput. Surv. 55 (2) (2023)
Yeganeh Gharedaghi, Gene Cheung, Xianming Liu
Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. ICIP (2023)
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
Image Deblurring by Exploring In-depth Properties of Transformer. CoRR (2023)
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) (2023)
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
Guided Depth Map Super-resolution: A Survey. CoRR (2023)
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu
Super-Resolving Face Image by Facial Parsing Information. CoRR (2023)
Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
On the Dynamics Under the Unhinged Loss and Beyond. CoRR (2023)
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
Guided Depth Map Super-Resolution: A Survey. ACM Comput. Surv. 55 (14s) (2023)
Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR (2023)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR (2023)
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) (2023)
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR (2023)
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)
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)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR (2022)
Zhenyu Li, Junjun Jiang, Xianming Liu
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9 (7) (2022)
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. ECCV (18) (2022)
Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. ECCV Workshops (2) (2022)
Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression. CoRR (2022)
Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia (2022)
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CoRR (2022)
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31 (2022)
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) (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML (2022)
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)
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 (2022)
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) (2022)
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CVPR (2022)
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)
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR (2022)
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) (2022)
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
Learning Towards The Largest Margins. ICLR (2022)
Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. AAAI (2022)
Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR (2022)
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. CoRR (2022)
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. ACM Multimedia (2022)
Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops (2022)
Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR (2022)
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) (2022)
Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. CoRR (2022)
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 (2022)
Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia (2022)
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) (2022)
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR (2022)
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR (2022)

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Publication Activity (10 Years)

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Xianming Liu