Dingkang Liang

According to our database, Dingkang Liang authored at least 54 papers between 2020 and 2025.

Collaborative distances:

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

2025

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle.

Linghao Zhu, Yiran Guan, Dingkang Liang, Jianzhong Ju, Zhenbo Luo, Bin Qin, Jian Luan, Yuliang Liu, Xiang Bai

CoRR, August, 2025

Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching.

Xin Zhou, Dingkang Liang, Kaijin Chen, Tianrui Feng, Xiwu Chen, Hongkai Lin, Yikang Ding, Feiyang Tan, Hengshuang Zhao, Xiang Bai

CoRR, July, 2025

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.

Zongchuang Zhao, Haoyu Fu, Dingkang Liang, Xin Zhou, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai

CoRR, May, 2025

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment.

Xiaofan Li, Chenming Wu, Zhao Yang, Zhihao Xu, Dingkang Liang, Yumeng Zhang, Ji Wan, Jun Wang

CoRR, April, 2025

An Empirical Study of Ground Segmentation for 3-D Object Detection.

Hongcheng Yang, Dingkang Liang, Zhe Liu, Jingyu Li, Zhikang Zou, Xiaoqing Ye, Xiang Bai

IEEE Trans. Intell. Transp. Syst., March, 2025

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Dingkang Liang, Chong Zhang, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai

CoRR, March, 2025

Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception.

Dingkang Liang, Dingyuan Zhang, Xin Zhou, Sifan Tu, Tianrui Feng, Xiaofan Li, Yumeng Zhang, Mingyang Du, Xiao Tan, Xiang Bai

CoRR, March, 2025

The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey.

Sifan Tu, Xin Zhou, Dingkang Liang, Xingyu Jiang, Yumeng Zhang, Xiaofan Li, Xiang Bai

CoRR, February, 2025

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation.

Xin Zhou, Dingkang Liang, Sifan Tu, Xiwu Chen, Yikang Ding, Dingyuan Zhang, Feiyang Tan, Hengshuang Zhao, Xiang Bai

CoRR, January, 2025

Layerlink: Bridging remote sensing object detection and large vision models with efficient fine-tuning.

Xingkui Zhu, Dingkang Liang, Xingyu Jiang, Yiran Guan, Yuliang Liu, Yingying Zhu, Xiang Bai

Pattern Recognit., 2025

AVS-Net: Point sampling with adaptive voxel size for 3D scene understanding.

Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Zhe Liu, Zhikang Zou, Xingyu Jiang, Yingying Zhu

Neurocomputing, 2025

Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid.

Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MINIMA: Modality Invariant Image Matching.

Jiangwei Ren, Xingyu Jiang, Zizhuo Li, Dingkang Liang, Xin Zhou, Xiang Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting.

Dongliang Luo, Hanshen Zhu, Ziyang Zhang, Dingkang Liang, Xudong Xie, Yuliang Liu, Xiang Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Unified Image-Dense Annotation Generation Model for Underwater Scenes.

Hongkai Lin, Dingkang Liang, Zhenghao Qi, Xiang Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

A Discrepancy Aware Framework for Robust Anomaly Detection.

Yuxuan Cai, Dingkang Liang, Dongliang Luo, Xinwei He, Xin Yang, Xiang Bai

IEEE Trans. Ind. Informatics, March, 2024

LATFormer: Locality-Aware Point-View Fusion Transformer for 3D shape recognition.

Xinwei He, Silin Cheng, Dingkang Liang, Song Bai, Xi Wang, Yingying Zhu

Pattern Recognit., 2024

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning.

Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai

CoRR, 2024

Mini-Monkey: Multi-Scale Adaptive Cropping for Multimodal Large Language Models.

Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai

CoRR, 2024

SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection.

Dingkang Liang, Wei Hua, Chunsheng Shi, Zhikang Zou, Xiaoqing Ye, Xiang Bai

CoRR, 2024

Anomaly Detection by Adapting a pre-trained Vision Language Model.

Yuxuan Cai, Xinwei He, Dingkang Liang, Ao Tong, Xiang Bai

CoRR, 2024

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Point Cloud Analysis.

Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Xingyu Jiang, Zhe Liu, Zhikang Zou, Yingying Zhu

CoRR, 2024

SAM3D: zero-shot 3D object detection via the segment anything model.

Dingyuan Zhang, Dingkang Liang, Hongcheng Yang, Zhikang Zou, Xiaoqing Ye, Zhe Liu, Xiang Bai

Sci. China Inf. Sci., 2024

Not All Texts Are the Same: Dynamically Querying Texts for Scene Text Detection.

Linjie Tang, Pengfei Yi, Mingrui Chen, Mingkun Yang, Dingkang Liang

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

MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks.

Xingkui Zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PointMamba: A Simple State Space Model for Point Cloud Analysis.

Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Unified Framework for 3D Scene Understanding.

Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Make Your ViT-Based Multi-view 3D Detectors Faster via Token Compression.

Dingyuan Zhang, Dingkang Liang, Zichang Tan, Xiaoqing Ye, Cheng Zhang, Jingdong Wang, Xiang Bai

Proceedings of the Computer Vision - ECCV 2024, 2024

Well Begun is Half Done: The Importance of Initialization in Dataset Distillation.

Yiran Guan, Zhu Chen, Xingkui Zhu, Dingkang Liang, Yuliang Liu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis.

Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai

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

2023

You Only Look Bottom-Up for Monocular 3D Object Detection.

Kaixin Xiong, Dingyuan Zhang, Dingkang Liang, Zhe Liu, Hongcheng Yang, Wondimu Dikubab, Jianwei Cheng, Xiang Bai

IEEE Robotics Autom. Lett., November, 2023

Focal Inverse Distance Transform Maps for Crowd Localization.

Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou

IEEE Trans. Multim., 2023

Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution.

Jianfeng Kuang, Wei Hua, Dingkang Liang, Mingkun Yang, Deqiang Jiang, Bo Ren, Yu Zhou, Xiang Bai

CoRR, 2023

Diffusion-Based 3D Object Detection with Random Boxes.

Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai

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

Query-based Temporal Fusion with Explicit Motion for 3D Object Detection.

Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection.

Jingyu Li, Zhe Liu, Jinghua Hou, Dingkang Liang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Visual Information Extraction in the Wild: Practical Dataset and End-to-End Solution.

Jianfeng Kuang, Wei Hua, Dingkang Liang, Mingkun Yang, Deqiang Jiang, Bo Ren, Xiang Bai

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection.

Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai

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

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model.

Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai

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

SOOD: Towards Semi-Supervised Oriented Object Detection.

Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai

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

2022

Cell Localization and Counting Using Direction Field Map.

Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang

IEEE J. Biomed. Health Informatics, 2022

AutoScale: Learning to Scale for Crowd Counting.

Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka

Int. J. Comput. Vis., 2022

TransCrowd: weakly-supervised crowd counting with transformers.

Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai

Sci. China Inf. Sci., 2022

Comprehensive benchmark datasets for Amharic scene text detection and recognition.

Wondimu Dikubab, Dingkang Liang, Minghui Liao, Xiang Bai

Sci. China Inf. Sci., 2022

An End-to-End Transformer Model for Crowd Localization.

Dingkang Liang, Wei Xu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2022, 2022

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition.

Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Fault Diagnosis of Main Pump in Converter Station Based on Deep Neural Network.

Qingsheng Zhao, Gong Cheng, Xiaoqing Han, Dingkang Liang, Xuping Wang

Symmetry, 2021

Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting.

Wei Xu, Dingkang Liang, Yixiao Zheng, Jiahao Xie, Zhanyu Ma

IEEE Signal Process. Lett., 2021

TransCrowd: Weakly-Supervised Crowd Counting with Transformer.

Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai

CoRR, 2021

Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd.

Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou

CoRR, 2021

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results.

Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting.

Wei Xu, Dingkang Liang, Yixiao Zheng, Zhanyu Ma

CoRR, 2020

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020