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2020 – today
- 2024
[j4]Wenxi Li
, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang:
Bridging the gap between object detection in close-up and high-resolution wide shots. Comput. Vis. Image Underst. 249: 104181 (2024)- [c13]Haozhe Lin, Chunyu Wei, Li He, Yuchen Guo, Yunqi Zhao, Shanglong Li, Lu Fang:
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes. CVPR 2024: 19331-19340 - [c12]M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang:
When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. CVPR 2024: 22119-22128 - [c11]Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang:
SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. ECAI 2024: 145-152 - [c10]Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang:
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer. ACM Multimedia 2024: 4851-4860 - [c9]Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang:
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images. ECML/PKDD (2) 2024: 392-408 - [i5]Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang:
From Text to CQL: Bridging Natural Language and Corpus Search Engine. CoRR abs/2402.13740 (2024) - [i4]Jingsi Yu, Cunliang Kong, Liner Yang, Meishan Zhang, Lin Zhu, Yujie Wang, Haozhe Lin, Maosong Sun, Erhong Yang:
Cross-domain Chinese Sentence Pattern Parsing. CoRR abs/2402.16311 (2024) - [i3]Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang:
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images. CoRR abs/2407.17956 (2024) - [i2]Jing Huang, Hao Wen, Tianyi Zhou, Haozhe Lin, Yu-Kun Lai, Kun Li:
Crowd3D++: Robust Monocular Crowd Reconstruction with Upright Space. CoRR abs/2411.06232 (2024) - 2023
- [j3]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz:
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16(1): 642-655 (2023) - [j2]Ruyu Yan, Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services. IEEE Trans. Serv. Comput. 16(4): 2786-2799 (2023) - [c8]Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li:
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image. CVPR 2023: 8937-8946 - [c7]Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang:
DartBlur: Privacy Preservation with Detection Artifact Suppression. CVPR 2023: 16479-16488 - [c6]Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang:
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. ICCV 2023: 3735-3745 - [i1]Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li:
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image. CoRR abs/2301.09376 (2023) - 2022
- [j1]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation. IEEE Trans. Serv. Comput. 15(2): 918-930 (2022) - 2021
- [c5]Ruyu Yan, Yushun Fan, Jia Zhang, Junqi Zhang, Haozhe Lin:
Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network. ICWS 2021: 397-405 - [c4]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. WWW 2021: 3136-3145 - 2020
- [c3]Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin:
A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph. ICWS 2020: 338-346
2010 – 2019
- 2019
- [c2]Xing Wu, Yushun Fan, Jia Zhang, Haozhe Lin, Junqi Zhang:
QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation. SCC 2019: 202-209 - 2018
- [c1]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. ICWS 2018: 42-49
Coauthor Index
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