Haozhe Lin

According to our database, Haozhe Lin authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Bridging the gap between object detection in close-up and high-resolution wide shots.

Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang

Comput. Vis. Image Underst., 2024

Cross-domain Chinese Sentence Pattern Parsing.

Jingsi Yu, Cunliang Kong, Liner Yang, Meishan Zhang, Lin Zhu, Yujie Wang, Haozhe Lin, Maosong Sun, Erhong Yang

CoRR, 2024

From Text to CQL: Bridging Natural Language and Corpus Search Engine.

Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang

CoRR, 2024

SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images.

Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer.

Wenxi Li, Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation.

Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach.

M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang

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

GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes.

Haozhe Lin, Chunyu Wei, Li He, Yuchen Guo, Yunqi Zhao, Shanglong Li, Lu Fang

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

2023

Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services.

Ruyu Yan, Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai

IEEE Trans. Serv. Comput., 2023

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks.

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz

IEEE Trans. Serv. Comput., 2023

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation.

Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Crowd3D: Towards Hundreds of People Reconstruction from a Single Image.

Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li

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

DartBlur: Privacy Preservation with Detection Artifact Suppression.

Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang

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

2022

MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation.

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai

IEEE Trans. Serv. Comput., 2022

2021

REST: Reciprocal Framework for Spatiotemporal-coupled Predictions.

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai

Proceedings of the WWW '21: The Web Conference 2021, 2021

Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network.

Ruyu Yan, Yushun Fan, Jia Zhang, Junqi Zhang, Haozhe Lin

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

2020

A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph.

Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019

QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation.

Xing Wu, Yushun Fan, Jia Zhang, Haozhe Lin, Junqi Zhang

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation.

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai

Proceedings of the 2018 IEEE International Conference on Web Services, 2018