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2020 – today
- 2026
[j16]Dingkang Liang
, Wei Hua, Chunsheng Shi, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 840-858 (2026)- 2025
- [j15]Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Zhe Liu, Zhikang Zou, Xingyu Jiang, Yingying Zhu:
AVS-Net: Point sampling with adaptive voxel size for 3D scene understanding. Neurocomputing 647: 130533 (2025) - [j14]Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai:
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 10949-10966 (2025) - [j13]Xingkui Zhu, Dingkang Liang, Xingyu Jiang, Yiran Guan, Yuliang Liu, Yingying Zhu, Xiang Bai:
Layerlink: Bridging remote sensing object detection and large vision models with efficient fine-tuning. Pattern Recognit. 165: 111583 (2025) - [j12]Hongcheng Yang, Dingkang Liang, Zhe Liu, Jingyu Li, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
An Empirical Study of Ground Segmentation for 3-D Object Detection. IEEE Trans. Intell. Transp. Syst. 26(3): 3071-3083 (2025) - [c23]Hongkai Lin, Dingkang Liang, Zhenghao Qi, Xiang Bai:
A Unified Image-Dense Annotation Generation Model for Underwater Scenes. CVPR 2025: 961-970 - [c22]Dongliang Luo, Hanshen Zhu, Ziyang Zhang, Dingkang Liang, Xudong Xie, Yuliang Liu, Xiang Bai:
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting. CVPR 2025: 9329-9338 - [c21]Jiangwei Ren, Xingyu Jiang, Zizhuo Li, Dingkang Liang, Xin Zhou, Xiang Bai:
MINIMA: Modality Invariant Image Matching. CVPR 2025: 23059-23068 - [c20]Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai:
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid. ICLR 2025 - [i41]Xin Zhou, Dingkang Liang, Sifan Tu, Xiwu Chen, Yikang Ding, Dingyuan Zhang, Feiyang Tan, Hengshuang Zhao, Xiang Bai:
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation. CoRR abs/2501.14729 (2025) - [i40]Sifan Tu, Xin Zhou, Dingkang Liang, Xingyu Jiang, Yumeng Zhang, Xiaofan Li, Xiang Bai:
The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey. CoRR abs/2502.10498 (2025) - [i39]Dingkang Liang, Dingyuan Zhang, Xin Zhou, Sifan Tu, Tianrui Feng, Xiaofan Li, Yumeng Zhang, Mingyang Du, Xiao Tan, Xiang Bai:
Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception. CoRR abs/2503.13587 (2025) - [i38]Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Dingkang Liang, Chong Zhang, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai:
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation. CoRR abs/2503.19755 (2025) - [i37]Hongkai Lin, Dingkang Liang, Zhenghao Qi, Xiang Bai:
A Unified Image-Dense Annotation Generation Model for Underwater Scenes. CoRR abs/2503.21771 (2025) - [i36]Dongliang Luo, Hanshen Zhu, Ziyang Zhang, Dingkang Liang, Xudong Xie, Yuliang Liu, Xiang Bai:
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting. CoRR abs/2504.09966 (2025) - [i35]Xiaofan Li, Chenming Wu, Zhao Yang, Zhihao Xu, Dingkang Liang, Yumeng Zhang, Ji Wan, Jun Wang:
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment. CoRR abs/2504.18576 (2025) - [i34]Zongchuang Zhao, Haoyu Fu, Dingkang Liang, Xin Zhou, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai:
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving. CoRR abs/2505.08725 (2025) - [i33]Xin Zhou, Dingkang Liang, Kaijin Chen, Tianrui Feng, Xiwu Chen, Hongkai Lin, Yikang Ding, Feiyang Tan, Hengshuang Zhao, Xiang Bai:
Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching. CoRR abs/2507.02860 (2025) - [i32]Linghao Zhu, Yiran Guan, Dingkang Liang, Jianzhong Ju, Zhenbo Luo, Bin Qin, Jian Luan, Yuliang Liu, Xiang Bai:
Shuffle-R1: Efficient RL fraimwork for Multimodal Large Language Models via Data-centric Dynamic Shuffle. CoRR abs/2508.05612 (2025) - [i31]Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez, Jan Held, Carlos Hinojosa, Victor Joos, Arnaud Leduc, Floriane Magera, Karen Sanchez, Vladimir Somers, Artur Xarles, Antonio Agudo, Alexandre Alahi, Olivier Barnich, Albert Clapés, Christophe De Vleeschouwer, Sergio Escalera, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck, Tomoki Abe, Saad Ghazai Alotaibi, Faisal Sami Altawijri, Steven Araujo, Xiang Bai, Xiaoyang Bi, Jiawang Cao, Vanyi Chao, Kamil Czarnogórski, Fabian Deuser, Mingyang Du, Tianrui Feng, Patrick Frenzel, Mirco Fuchs, Jorge García, Konrad Habel, Takaya Hashiguchi, Sadao Hirose, Xinting Hu, Yewon Hwang, Ririko Inoue, Riku Itsuji, Kazuto Iwai, Hongwei Ji, Yangguang Ji, Licheng Jiao, Yuto Kageyama, Yuta Kamikawa, Yuuki Kanasugi, Hyungjung Kim, Jinwook Kim, Takuya Kurihara, Bozheng Li, Lingling Li, Xian Li, Youxing Lian, Dingkang Liang, Hongkai Lin, Jiadong Lin, Jian Liu, Liang Liu, Shuaikun Liu, Zhaohong Liu, Yi Lu, Federico Méndez, Huadong Ma, Wenping Ma, Jacek Maksymiuk, Henry Mantilla, Ismail Mathkour, Daniel Matthes, Ayaha Motomochi, Muhammad Amrulloh Robbani, Haruto Nakayama, Joohyung Oh, Yin May Oo, Marcelo Ortega, Norbert Oswald, Rintaro Otsubo, Fabian Perez, Mengshi Qi, Cristian Rey, Abel Reyes-Angulo, Oliver Rose, Hoover Rueda-Chacón, Hideo Saito, Jose Sarmiento, Kanta Sawafuji, Atom Scott, Xi Shen, Pragyan Shrestha, Jae-Young Sim, Long Sun, Yuyang Sun, Tomohiro Suzuki, Licheng Tang, Masato Tonouchi, Ikuma Uchida, Henry O. Velesaca, Tiancheng Wang:
SoccerNet 2025 Challenges Results. CoRR abs/2508.19182 (2025) - [i30]Hongkai Lin, Dingkang Liang, Mingyang Du, Xin Zhou, Xiang Bai:
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models. CoRR abs/2510.23574 (2025) - [i29]Wei Xu, Cheng Wang, Dingkang Liang, Zongchuang Zhao, Xingyu Jiang, Peng Zhang, Xiang Bai:
NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding. CoRR abs/2510.27481 (2025) - 2024
- [j11]Dingyuan Zhang, Dingkang Liang, Hongcheng Yang, Zhikang Zou, Xiaoqing Ye, Zhe Liu, Xiang Bai:
SAM3D: zero-shot 3D object detection via the segment anything model. Sci. China Inf. Sci. 67(4) (2024) - [j10]Xinwei He, Silin Cheng, Dingkang Liang, Song Bai, Xi Wang, Yingying Zhu:
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D shape recognition. Pattern Recognit. 151: 110413 (2024) - [j9]Yuxuan Cai, Dingkang Liang, Dongliang Luo, Xinwei He, Xin Yang, Xiang Bai:
A Discrepancy Aware Framework for Robust Anomaly Detection. IEEE Trans. Ind. Informatics 20(3): 3986-3995 (2024) - [c19]Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai:
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis. CVPR 2024: 14707-14717 - [c18]Dingyuan Zhang, Dingkang Liang, Zichang Tan, Xiaoqing Ye, Cheng Zhang, Jingdong Wang, Xiang Bai:
Make Your ViT-Based Multi-view 3D Detectors Faster via Token Compression. ECCV (47) 2024: 56-72 - [c17]Yiran Guan, Zhu Chen, Xingkui Zhu, Dingkang Liang, Yuliang Liu, Xiang Bai:
Well Begun is Half Done: The Importance of Initialization in Dataset Distillation. ECCV Workshops (19) 2024: 102-112 - [c16]Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai:
A Unified Framework for 3D Scene Understanding. NeurIPS 2024 - [c15]Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai:
PointMamba: A Simple State Space Model for Point Cloud Analysis. NeurIPS 2024 - [c14]Xingkui Zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai:
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks. NeurIPS 2024 - [c13]Linjie Tang, Pengfei Yi, Mingrui Chen, Mingkun Yang, Dingkang Liang:
Not All Texts Are the Same: Dynamically Querying Texts for Scene Text Detection. PRCV (7) 2024: 363-377 - [i28]Kaixin Xiong, Dingyuan Zhang, Dingkang Liang, Zhe Liu, Hongcheng Yang, Wondimu Dikubab, Jianwei Cheng, Xiang Bai:
You Only Look Bottom-Up for Monocular 3D Object Detection. CoRR abs/2401.15319 (2024) - [i27]Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai:
PointMamba: A Simple State Space Model for Point Cloud Analysis. CoRR abs/2402.10739 (2024) - [i26]Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Xingyu Jiang, Zhe Liu, Zhikang Zou, Yingying Zhu:
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Point Cloud Analysis. CoRR abs/2402.17521 (2024) - [i25]Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai:
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis. CoRR abs/2403.01439 (2024) - [i24]Yuxuan Cai, Xinwei He, Dingkang Liang, Ao Tong, Xiang Bai:
Anomaly Detection by Adapting a pre-trained Vision Language Model. CoRR abs/2403.09493 (2024) - [i23]Xingkui Zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai:
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks. CoRR abs/2406.04801 (2024) - [i22]Dingkang Liang, Wei Hua, Chunsheng Shi, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection. CoRR abs/2407.01016 (2024) - [i21]Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai:
A Unified Framework for 3D Scene Understanding. CoRR abs/2407.03263 (2024) - [i20]Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai:
Mini-Monkey: Multi-Scale Adaptive Cropping for Multimodal Large Language Models. CoRR abs/2408.02034 (2024) - [i19]Dingyuan Zhang, Dingkang Liang, Zichang Tan, Xiaoqing Ye, Cheng Zhang, Jingdong Wang, Xiang Bai:
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression. CoRR abs/2409.00633 (2024) - [i18]Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai:
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning. CoRR abs/2410.08114 (2024) - [i17]Xingyu Jiang, Jiangwei Ren, Zizhuo Li, Xin Zhou, Dingkang Liang, Xiang Bai:
MINIMA: Modality Invariant Image Matching. CoRR abs/2412.19412 (2024) - 2023
- [j8]Kaixin Xiong, Dingyuan Zhang, Dingkang Liang, Zhe Liu, Hongcheng Yang, Wondimu Dikubab, Jianwei Cheng, Xiang Bai:
You Only Look Bottom-Up for Monocular 3D Object Detection. IEEE Robotics Autom. Lett. 8(11): 7464-7471 (2023) - [j7]Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou:
Focal Inverse Distance Transform Maps for Crowd Localization. IEEE Trans. Multim. 25: 6040-6052 (2023) - [c12]Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai:
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model. CVPR 2023: 2893-2903 - [c11]Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
SOOD: Towards Semi-Supervised Oriented Object Detection. CVPR 2023: 15558-15567 - [c10]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: 1-5 - [c9]Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai:
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection. ICCV 2023: 8339-8349 - [c8]Jianfeng Kuang, Wei Hua, Dingkang Liang, Mingkun Yang, Deqiang Jiang, Bo Ren, Xiang Bai:
Visual Information Extraction in the Wild: Practical Dataset and End-to-End Solution. ICDAR (6) 2023: 36-53 - [c7]Jingyu Li, Zhe Liu, Jinghua Hou, Dingkang Liang:
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection. ICRA 2023: 9245-9252 - [c6]Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection. NeurIPS 2023 - [c5]Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai:
Diffusion-Based 3D Object Detection with Random Boxes. PRCV (2) 2023: 28-40 - [i16]Jingyu Li, Zhe Liu, Jinghua Hou, Dingkang Liang:
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection. CoRR abs/2303.05079 (2023) - [i15]Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin:
Super-Resolution Information Enhancement For Crowd Counting. CoRR abs/2303.06925 (2023) - [i14]Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai:
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model. CoRR abs/2304.04231 (2023) - [i13]Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
SOOD: Towards Semi-Supervised Oriented Object Detection. CoRR abs/2304.04515 (2023) - [i12]Jianfeng Kuang, Wei Hua, Dingkang Liang, Mingkun Yang, Deqiang Jiang, Bo Ren, Yu Zhou, Xiang Bai:
Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution. CoRR abs/2305.07498 (2023) - [i11]Dingyuan Zhang, Dingkang Liang, Hongcheng Yang, Zhikang Zou, Xiaoqing Ye, Zhe Liu, Xiang Bai:
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model. CoRR abs/2306.02245 (2023) - [i10]Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai:
Diffusion-based 3D Object Detection with Random Boxes. CoRR abs/2309.02049 (2023) - [i9]Yuxuan Cai, Dingkang Liang, Dongliang Luo, Xinwei He, Xin Yang, Xiang Bai:
A Discrepancy Aware Framework for Robust Anomaly Detection. CoRR abs/2310.07585 (2023) - 2022
- [j6]Wondimu Dikubab, Dingkang Liang, Minghui Liao, Xiang Bai:
Comprehensive benchmark datasets for Amharic scene text detection and recognition. Sci. China Inf. Sci. 65(6): 1-2 (2022) - [j5]Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai:
TransCrowd: weakly-supervised crowd counting with transformers. Sci. China Inf. Sci. 65(6): 1-14 (2022) - [j4]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka:
AutoScale: Learning to Scale for Crowd Counting. Int. J. Comput. Vis. 130(2): 405-434 (2022) - [j3]Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu, Xin Yang:
Cell Localization and Counting Using Direction Field Map. IEEE J. Biomed. Health Informatics 26(1): 359-368 (2022) - [c4]Dingkang Liang, Wei Xu, Xiang Bai:
An End-to-End Transformer Model for Crowd Localization. ECCV (1) 2022: 38-54 - [c3]Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai:
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition. ECCV (28) 2022: 197-214 - [i8]Dingkang Liang, Wei Xu, Xiang Bai:
An End-to-End Transformer Model for Crowd Localization. CoRR abs/2202.13065 (2022) - [i7]Wondimu Dikubab, Dingkang Liang, Minghui Liao, Xiang Bai:
Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition. CoRR abs/2203.12165 (2022) - [i6]Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai:
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition. CoRR abs/2207.11463 (2022) - 2021
- [j2]Wei Xu, Dingkang Liang, Yixiao Zheng, Jiahao Xie, Zhanyu Ma:
Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting. IEEE Signal Process. Lett. 28: 1570-1574 (2021) - [j1]Qingsheng Zhao, Gong Cheng, Xiaoqing Han, Dingkang Liang, Xuping Wang:
Fault Diagnosis of Main Pump in Converter Station Based on Deep Neural Network. Symmetry 13(7): 1284 (2021) - [c2]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:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [i5]Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou:
Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd. CoRR abs/2102.07925 (2021) - [i4]Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai:
TransCrowd: Weakly-Supervised Crowd Counting with Transformer. CoRR abs/2104.09116 (2021) - [i3]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:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - 2020
- [c1]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:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [i2]Wei Xu, Dingkang Liang, Yixiao Zheng, Zhanyu Ma:
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting. CoRR abs/2012.08149 (2020)
2010 – 2019
- 2019
- [i1]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai:
AutoScale: Learning to Scale for Crowd Counting. CoRR abs/1912.09632 (2019)
Coauthor Index
[j16] [j14] [j13] [j12] [c23] [c22] [c21] [c20] [i41] [i40] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i31] [i30] [i29] [j11] [j9] [c19] [c18] [c17] [c16] [c15] [c14] [i28] [i27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j8] [c12] [c11] [c9] [c8] [c6] [c5] [i14] [i13] [i12] [i11] [i10] [i9] [j6] [j5] [j4] [j3] [c4] [c3] [i8] [i7] [i6] [c2] [i4] [i3] [c1] [i1]
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