Kongming Liang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Lesion Segmentation

Healthy Subjects

Visual Classification

Top Venues

Publications

Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CoRR (2024)
Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. AAAI (2024)
Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. CoRR (2024)
Kongming Liang, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo
Learning Dynamic Prototypes for Visual Pattern Debiasing. Int. J. Comput. Vis. 132 (5) (2024)
Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma
Bilinear Adversarial Network for Fine-Grained Domain Adaptation. IC-NIDC (2023)
Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo
Attribute Learning with Knowledge Enhanced Partial Annotations. ICIP (2023)
Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo
Hierarchical Visual Attribute Learning in the Wild. ACM Multimedia (2023)
Fengming Liang, Changlin Fan, Bo Xiao, Kongming Liang
Semantic Centralized Contrastive Learning for Unsupervised Hashing. ICASSP (2023)
Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma
Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions. PRCV (2) (2023)
Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo
Semantic Memory Guided Image Representation for Polyp Segmentation. ICASSP (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR (2023)
Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
On-the-Fly Category Discovery. CVPR (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42 (1) (2023)
Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma
Plugging Stylized Controls in Open-Stylized Image Captioning. PRCV (1) (2023)
Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang, Zhanyu Ma
Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. ACM Multimedia (2023)
Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang
Multi-Head Uncertainty Inference for Adversarial Attack Detection. ICASSP (2023)
Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo
Vision-language Assisted Attribute Learning. CoRR (2023)
Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin
Super-Resolution Information Enhancement For Crowd Counting. CoRR (2023)
Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. MICCAI (4) (2023)
Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma
Self-Enhanced Training Framework for Referring Expression Grounding. ICIP (2023)
Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images. CoRR (2023)
Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo
Vision-Language Assisted Attribute Learning. IC-NIDC (2023)
Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin
Super-Resolution Information Enhancement for Crowd Counting. ICASSP (2023)
Zihan Yan, Ruoyi Du, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma
Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification. PRCV (6) (2023)
Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. ECCV (24) (2022)
Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang
Multi-head Uncertainty Inference for Adversarial Attack Detection. CoRR (2022)
Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo
Dual-granularity feature alignment for cross-modality person re-identification. Neurocomputing 511 (2022)
Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma
Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP (2022)
Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. CoRR (2022)
Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma
Multi-modal Human-machine Conversation System for Real Physical World. MMSP (2022)
Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. ACM Multimedia (2022)
Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
Duplex Contextual Relation Network For Polyp Segmentation. ISBI (2022)
Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo
Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. CICAI (1) (2022)
Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) (2021)
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images. CoRR (2021)
Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. CoRR (2021)
Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. CoRR (2021)
Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. MMAsia (2021)
Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. CoRR (2021)
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. MICCAI (7) (2021)
Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
Duplex Contextual Relation Network for Polyp Segmentation. CoRR (2021)
Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. ISBI (2020)
Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. CoRR (2020)
Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
Visual concept conjunction learning with recurrent neural networks. Neurocomputing 395 (2020)
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. ISBI (2020)
Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. MICCAI (7) (2020)
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. CoRR (2020)
Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR (2019)
Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework. IEEE Trans. Pattern Anal. Mach. Intell. 41 (7) (2019)
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
Visual Relationship Detection With Deep Structural Ranking. AAAI (2018)
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
Incomplete Attribute Learning with auxiliary labels. IJCAI (2017)
Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
Attribute Conjunction Learning with Recurrent Neural Network. ECML/PKDD (1) (2016)
Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
A Unified Multiplicative Framework for Attribute Learning. ICCV (2015)
Kongming Liang, Hong Chang, Zhen Cui, Shiguang Shan, Xilin Chen
Representation Learning with Smooth Autoencoder. ACCV (2) (2014)