Tianming Liang

According to our database, Tianming Liang authored at least 22 papers between 2017 and 2026.

Collaborative distances:

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

2026

Human Motion Prediction via Continual Prior Compensation.

Jianwei Tang, Jian-Fang Hu, Tianming Liang, Xiaotong Lin, Jiangxin Sun, Wei-Shi Zheng, Jianhuang Lai

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search.

Tianming Liang, Qirui Du, Jian-Fang Hu, Haichao Jiang, Zicheng Lin, Wei-Shi Zheng

CoRR, February, 2026

Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object Segmentation.

Haichao Jiang, Tianming Liang, Wei-Shi Zheng, Jian-Fang Hu

CoRR, February, 2026

Arbitrary-scale atmospheric downscaling with mixture of implicit neural networks trained on fixed-scale data.

Teng-Yue Chen, Jie-Lan Xie, Wei Zhou, Jian-Fang Hu, Peng-Qin Yao, Tianming Liang, Wei-Shi Zheng, Pak-Wai Chan

Pattern Recognit., 2026

TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding.

Jinxuan Li, Yi Zhang, Jian-Fang Hu, Chaolei Tan, Tianming Liang, Beihao Xia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion.

Xiaotong Lin, Tianming Liang, Jian-Fang Hu, Kun-Yu Lin, Yulei Kang, Chunwei Tian, Jianhuang Lai, Wei-Shi Zheng

CoRR, August, 2025

Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation.

Tianming Liang, Haichao Jiang, Yuting Yang, Chaolei Tan, Shuai Li, Wei-Shi Zheng, Jian-Fang Hu

CoRR, May, 2025

PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild.

Henghui Ding, Chang Liu, Nikhila Ravi, Shuting He, Yunchao Wei, Song Bai, Philip Torr, Kehuan Song, Xinglin Xie, Kexin Zhang, Licheng Jiao, Lingling Li, Shuyuan Yang, Xuqiang Cao, Linnan Zhao, Jiaxuan Zhao, Fang Liu, Mengjiao Wang, Junpei Zhang, Xu Liu, Yuting Yang, Mengru Ma, Hao Fang, Runmin Cong, Xiankai Lu, Zhiyang Chen, Wei Zhang, Tianming Liang, Haichao Jiang, Wei-Shi Zheng, Jian-Fang Hu, Haobo Yuan, Xiangtai Li, Tao Zhang, Lu Qi, Ming-Hsuan Yang

CoRR, April, 2025

ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025.

Tianming Liang, Haichao Jiang, Wei-Shi Zheng, Jian-Fang Hu

CoRR, March, 2025

Rethinking Temporal Context in Video-QA: A Comprehensive Study of Single-Frame Static Bias.

Tianming Liang, Linhui Li, Jian-Fang Hu, Xiangyang Yu, Wei-Shi Zheng, Jianhuang Lai

IEEE Trans. Multim., 2025

ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations.

Tianming Liang, Kun-Yu Lin, Chaolei Tan, Jianguo Zhang, Wei-Shi Zheng, Jian-Fang Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction.

Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo

IEEE Trans. Knowl. Data Eng., September, 2024

Time-Frequency Mutual Learning for Moment Retrieval and Highlight Detection.

Yaokun Zhong, Tianming Liang, Jian-Fang Hu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Progressive Pretext Task Learning for Human Trajectory Prediction.

Xiaotong Lin, Tianming Liang, Jianhuang Lai, Jian-Fang Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels.

Tianming Liang, Chaolei Tan, Beihao Xia, Wei-Shi Zheng, Jian-Fang Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs.

Tianming Liang, Yang Liu, Xiaoyan Liu, Hao Zhang, Gaurav Sharma, Maozu Guo

IEEE Trans. Knowl. Data Eng., July, 2023

2021

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs.

Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo

CoRR, 2021

2020

Sample selection-based hierarchical extreme learning machine.

Xinzheng Xu, Shan Li, Tianming Liang, Tongfeng Sun

Neurocomputing, 2020

2019

Review of classical dimensionality reduction and sample selection methods for large-scale data processing.

Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun

Neurocomputing, 2019

2018

Rank-Adaptive Non-Negative Matrix Factorization.

Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding

Cogn. Comput., 2018

2017

A new image classification method based on modified condensed nearest neighbor and convolutional neural networks.

Tianming Liang, Xinzheng Xu, Pengcheng Xiao

Pattern Recognit. Lett., 2017

Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation.

Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang

Intell. Autom. Soft Comput., 2017