Kongming Liang

According to our database, Kongming Liang authored at least 45 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-Supervised Learning for FGVC With Out-of-Category Data.

Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.

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

CoRR, 2024

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing.

Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo

CoRR, 2024

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection.

Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.

Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu

IEEE Trans. Medical Imaging, 2023

Vision-language Assisted Attribute Learning.

Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo

CoRR, 2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.

Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu

CoRR, 2023

Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification.

Zihan Yan, Ruoyi Du, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Plugging Stylized Controls in Open-Stylized Image Captioning.

Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions.

Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Hierarchical Visual Attribute Learning in the Wild.

Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models.

Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang, Zhanyu Ma

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images.

Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bilinear Adversarial Network for Fine-Grained Domain Adaptation.

Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Vision-Language Assisted Attribute Learning.

Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Attribute Learning with Knowledge Enhanced Partial Annotations.

Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo

Proceedings of the IEEE International Conference on Image Processing, 2023

Self-Enhanced Training Framework for Referring Expression Grounding.

Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma

Proceedings of the IEEE International Conference on Image Processing, 2023

Semantic Memory Guided Image Representation for Polyp Segmentation.

Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Head Uncertainty Inference for Adversarial Attack Detection.

Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang

Proceedings of the IEEE International Conference on Acoustics, 2023

Super-Resolution Information Enhancement for Crowd Counting.

Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

Semantic Centralized Contrastive Learning for Unsupervised Hashing.

Fengming Liang, Changlin Fan, Bo Xiao, Kongming Liang

Proceedings of the IEEE International Conference on Acoustics, 2023

On-the-Fly Category Discovery.

Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dual-granularity feature alignment for cross-modality person re-identification.

Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo

Neurocomputing, 2022

Multi-modal Human-machine Conversation System for Real Physical World.

Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Complex Scenario-Oriented Fine-Grained Visual Classification Platform.

Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction.

Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Duplex Contextual Relation Network For Polyp Segmentation.

Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Learning Invariant Visual Representations for Compositional Zero-Shot Learning.

Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo

Proceedings of the Computer Vision, 2022

Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency.

Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification.

Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo

CoRR, 2021

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features.

Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang

CoRR, 2021

Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification.

Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.

Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images.

Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Visual concept conjunction learning with recurrent neural networks.

Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen

Neurocomputing, 2020

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.

Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.

Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.

Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework.

Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2019

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu

CoRR, 2019

2018

Visual Relationship Detection With Deep Structural Ranking.

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Incomplete Attribute Learning with auxiliary labels.

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Attribute Conjunction Learning with Recurrent Neural Network.

Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

A Unified Multiplicative Framework for Attribute Learning.

Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Representation Learning with Smooth Autoencoder.

Kongming Liang, Hong Chang, Zhen Cui, Shiguang Shan, Xilin Chen

Proceedings of the Computer Vision - ACCV 2014, 2014