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David Doermann

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Federated Learning via Input-Output Collaborative Distillation

Dec 22, 2023
Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

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The Analysis and Extraction of Structure from Organizational Charts

Nov 16, 2023
Nikhil Manali, David Doermann, Mahesh Desai

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Player Re-Identification Using Body Part Appearences

Oct 23, 2023
Mahesh Bhosale, Abhishek Kumar, David Doermann

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SOAR: Scene-debiasing Open-set Action Recognition

Sep 03, 2023
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, Gang Hua

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Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

Sep 03, 2023
Yuanhao Zhai, Tianyu Luan, David Doermann, Junsong Yuan

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Language-guided Human Motion Synthesis with Atomic Actions

Aug 18, 2023
Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David Doermann, Junsong Yuan

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SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding

Aug 03, 2023
Saleem Ahmed, Pengyu Yan, David Doermann, Srirangaraj Setlur, Venu Govindaraju

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Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

Jul 01, 2023
Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David Doermann

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Context-Aware Chart Element Detection

May 07, 2023
Pengyu Yan, Saleem Ahmed, David Doermann

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LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation

May 03, 2023
Jay Lal, Aditya Mitkari, Mahesh Bhosale, David Doermann

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