Search Results for author: Junhan Zhao

Found 5 papers, 2 papers with code

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning

2 code implementations24 Sep 2024 Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Instruction tuning has emerged as an effective strategy for achieving zero-shot generalization by finetuning pretrained models on diverse multimodal tasks.

Zero-shot Generalization

Radiance Field Learners As UAV First-Person Viewers

no code implementations10 Aug 2024 Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu

First-Person-View (FPV) holds immense potential for revolutionizing the trajectory of Unmanned Aerial Vehicles (UAVs), offering an exhilarating avenue for navigating complex building structures.

NeRF

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

2 code implementations3 Jul 2024 Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu

We reveal that control signals of different DCT spectral bands bridge the source image and the T2I generated image in different correlations (e. g., style, structure, layout, contour, etc.

Image-to-Image Translation Translation

Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading

no code implementations13 Feb 2023 Fei Kong, Xiyue Wang, Jinxi Xiang, Sen yang, Xinran Wang, Meng Yue, Jun Zhang, Junhan Zhao, Xiao Han, Yuhan Dong, Biyue Zhu, Fang Wang, Yueping Liu

We assessed the effectiveness of FACL in cancer diagnosis and Gleason grading tasks using 19, 461 whole-slide images of prostate cancer from multiple centers.

Contrastive Learning Ethics +2

Memorizing All for Implicit Discourse Relation Recognition

no code implementations29 Aug 2019 Hongxiao Bai, Hai Zhao, Junhan Zhao

As implicit discourse relation recognizer has to carefully tackle the semantic similarity of the given sentence pairs and the severe data sparsity issue exists in the meantime, it is supposed to be beneficial from mastering the entire training data.

All Relation +3

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