Jianzhe Lin

According to our database, Jianzhe Lin authored at least 40 papers between 2014 and 2024.

Collaborative distances:

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

2024

Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models.

Maurice Diesendruck, Jianzhe Lin, Shima Imani, Gayathri Mahalingam, Mingyang Xu, Jie Zhao

CoRR, 2024

Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations.

Manqing Mao, Paishun Ting, Yijian Xiang, Mingyang Xu, Julia Chen, Jianzhe Lin

CoRR, 2024

2023

BatchPrompt: Accomplish more with less.

Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham

CoRR, 2023

Spatiotemporal-Memory-Guided Machine Perception for Augmented Reality.

Jianzhe Lin, Shaoyu Chen, Bea Steers, Huy T. Vo, Cláudio T. Silva, Qi Sun

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

2022

SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images.

Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Rethinking Crowdsourcing Annotation: Partial Annotation With Salient Labels for Multilabel Aerial Image Classification.

Jianzhe Lin, Tianze Yu, Z. Jane Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Multilabel Aerial Image Classification With Unsupervised Domain Adaptation.

Dan Lin, Jianzhe Lin, Liang Zhao, Zhen Wang, Zhikui Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network.

Dan Lin, Jianzhe Lin, Liang Zhao, Z. Jane Wang, Zhikui Chen

IEEE Trans. Geosci. Remote. Sens., 2022

CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials.

Maryam Hosseini, Fabio Miranda, Jianzhe Lin, Cláudio T. Silva

CoRR, 2022

IntentVizor: Towards Generic Query Guided Interactive Video Summarization.

Guande Wu, Jianzhe Lin, Cláudio T. Silva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unifying Top-Down Views by Task-Specific Domain Adaptation.

Jianzhe Lin, Tianze Yu, Lichao Mou, Xiaoxiang Zhu, Rabab Kreidieh Ward, Z. Jane Wang

IEEE Trans. Geosci. Remote. Sens., 2021

Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification.

Jianzhe Lin, Lichao Mou, Xiao Xiang Zhu, Xiangyang Ji, Z. Jane Wang

IEEE Trans. Geosci. Remote. Sens., 2021

Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment.

Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva

Pattern Recognit., 2021

Spectral-Spatial Hyperspectral Image Classification Using Dual-Channel Capsule Networks.

Xuefeng Jiang, Wenbo Liu, Yue Zhang, Junrui Liu, Shuying Li, Jianzhe Lin

IEEE Geosci. Remote. Sens. Lett., 2021

A smartly simple way for joint crowd counting and localization.

Minyang Jiang, Jianzhe Lin, Zhen Jane Wang

Neurocomputing, 2021

Crowd understanding and analysis.

Qi Wang, Bo Liu, Jianzhe Lin

IET Image Process., 2021

Guest editorial: Graph learning for computer vision.

Qi Wang, Hongkai Yu, Song Wang, Jianzhe Lin

IET Comput. Vis., 2021

IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks.

Guande Wu, Jianzhe Lin, Cláudio T. Silva

CoRR, 2021

Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification.

Jianzhe Lin, Tianze Yu, Z. Jane Wang

CoRR, 2021

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks.

Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu

CoRR, 2021

NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences.

Diwei Sheng, Yuxiang Chai, Xinru Li, Chen Feng, Jianzhe Lin, Cláudio T. Silva, John-Ross Rizzo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ShuffleCount: Task-Specific Knowledge Distillation for Crowd Counting.

Minyang Jiang, Jianzhe Lin, Z. Jane Wang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Reciprocal Landmark Detection and Tracking With Extremely Few Annotations.

Jianzhe Lin, Ghazal Sahebzamani, Christina Luong, Fatemeh Taheri Dezaki, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ERA: Entity-relationship Aware Video Summarization with Wasserstein GAN.

Guande Wu, Jianzhe Peter Lin, Cláudio T. Silva

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.

Lei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang

IEEE J. Biomed. Health Informatics, 2020

DT-LET: Deep transfer learning by exploring where to transfer.

Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang

Neurocomputing, 2020

Xnet: Task-specific attentional domain adaptation for satellite-to-aerial scene.

Jianzhe Lin, Kaiwen Yuan, Rabab Ward, Zhen Jane Wang

Neurocomputing, 2020

Hyperspectral Image Classification With CapsNet and Markov Random Fields.

Xuefeng Jiang, Yue Zhang, Wenbo Liu, Junyu Gao, Junrui Liu, Yanning Zhang, Jianzhe Lin

IEEE Access, 2020

Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation.

Jianzhe Lin, Lichao Mou, Tianze Yu, Xiaoxiang Zhu, Z. Jane Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks.

Jianzhe Lin, Yue Zhang, Abdoul-aziz Amadou, Ingmar Voigt, Tommaso Mansi, Rui Liao

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

A Coarse-to-Fine Optimization for Hyperspectral Band Selection.

Xuefeng Jiang, Jianzhe Lin, Junrui Liu, Shuying Li, Yanning Zhang

IEEE Geosci. Remote. Sens. Lett., 2019

Dense-Residual Attention Network for Skin Lesion Segmentation.

Lei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification.

Jianzhe Lin, Liang Zhao, Shuying Li, Rabab K. Ward, Z. Jane Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

DT-LET: Deep Transfer Learning by Exploring where to Transfer.

Jianzhe Lin, Qi Wang, Rabab Ward, Z. Jane Wang

CoRR, 2018

Deep Transfer Learning for Hyperspectral Image Classification.

Jianzhe Lin, Rabab Ward, Z. Jane Wang

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

2017

Structure Preserving Transfer Learning for Unsupervised Hyperspectral Image Classification.

Jianzhe Lin, Chen He, Z. Jane Wang, Shuying Li

IEEE Geosci. Remote. Sens. Lett., 2017

2016

Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking.

Qi Wang, Jianzhe Lin, Yuan Yuan

IEEE Trans. Neural Networks Learn. Syst., 2016

Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis.

Yuan Yuan, Jianzhe Lin, Qi Wang

IEEE Trans. Geosci. Remote. Sens., 2016

Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization.

Yuan Yuan, Jianzhe Lin, Qi Wang

IEEE Trans. Cybern., 2016

2014

In defense of iterated conditional mode for hyperspectral image classification.

Jianzhe Lin, Qi Wang, Yuan Yuan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014