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ResearcherID: R-3640-2018

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University of Maryland, College Park: College Park, Maryland, US

Employment
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DAVID DOERMANN

University at Buffalo - The State University of New York: Buffalo, NY, US

Employment
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DAVID DOERMANN

Defense Advanced Research Projects Agency Defense Sciences Office: Arlington, VA, US

Employment
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DAVID DOERMANN

Education and qualifications (2)

University of Maryland, College Park: College Park, Maryland, US

Qualification
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DAVID DOERMANN

Bloomsburg University of Pennsylvania: Bloomsburg, PA, US

Qualification
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DAVID DOERMANN

Works (50 of 426)

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Page 1 of 9

IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation

2025 | Book chapter
DOI: 10.1007/978-3-031-72633-0_8
Contributors: Yuanhao Zhai; Kevin Lin; Linjie Li; Chung-Ching Lin; Jianfeng Wang; Zhengyuan Yang; David Doermann; Junsong Yuan; Zicheng Liu; Lijuan Wang
Source: check_circle
Crossref

Binary Neural Architecture Search

Neural Networks with Model Compression
2024 | Book chapter
DOI: 10.1007/978-981-99-5068-3_3
Part of ISBN: 978-981-9950-68-3
Contributors: Zhang, Baochang; Wang, Tiancheng; Xu, Sheng; Doermann, David; Zhang, Baochang; Wang, Tiancheng; Xu, Sheng; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation

2024-07 | Other
DOI: 10.48550/arXiv.2407.10937
Contributors: Zhai, Yuanhao; Lin, Kevin; Li, Linjie; Lin, Chung-Ching; Wang, Jianfeng; Yang, Zhengyuan; Doermann, David; Yuan, Junsong; Liu, Zicheng; Wang, Lijuan
Source: Self-asserted source
DAVID DOERMANN

Artemis: Towards Referential Understanding in Complex Videos

2024-06 | Other
DOI: 10.48550/arXiv.2406.00258
Contributors: Qiu, Jihao; Zhang, Yuan; Tang, Xi; Xie, Lingxi; Ma, Tianren; Yan, Pengyu; Doermann, David; Ye, Qixiang; Tian, Yunjie
Source: Self-asserted source
DAVID DOERMANN

ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding

2024-06 | Other
DOI: 10.48550/arXiv.2406.11327
Contributors: Ma, Tianren; Xie, Lingxi; Tian, Yunjie; Yang, Boyu; Zhang, Yuan; Doermann, David; Ye, Qixiang
Source: Self-asserted source
DAVID DOERMANN

ChartReformer: Natural Language-Driven Chart Image Editing

2024-05 | Other
DOI: 10.48550/arXiv.2403.00209
Contributors: Yan, Pengyu; Bhosale, Mahesh; Lal, Jay; Adhikari, Bikhyat; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Federated Learning via Input-Output Collaborative Distillation

Proceedings of the AAAI Conference on Artificial Intelligence
2024-03 | Journal article
DOI: 10.1609/aaai.v38i20.30209
Part of ISSN: 2374-3468
Contributors: Gong, Xuan; Li, Shanglin; Bao, Yuxiang; Yao, Barry; Huang, Yawen; Wu, Ziyan; Zhang, Baochang; Zheng, Yefeng; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Future of software development with generative AI

Automated Software Engineering
2024-03 | Journal article
DOI: 10.1007/s10515-024-00426-z
Part of ISSN: 1573-7535
Contributors: Sauvola, Jaakko; Tarkoma, Sasu; Klemettinen, Mika; Riekki, Jukka; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Neural Networks with Model Compression

2024-02 | Book
ISBN: 978-981-9950-67-6
Contributors: Zhang, Baochang; Wang, Tiancheng; Xu, Sheng; Doermann, David
Source: Self-asserted source
DAVID DOERMANN
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Preferred source (of 2)‎

A Survey and Approach to Chart Classification

Document Analysis and Recognition – ICDAR 2023 Workshops
2023 | Conference paper
DOI: 10.1007/978-3-031-41498-5_5
Part of ISBN: 978-3-031-41498-5
Contributors: Dhote, Anurag; Javed, Mohammed; Doermann, David S.; Coustaty, Mickael; Fornés, Alicia
Source: Self-asserted source
DAVID DOERMANN

Anti-Bandit for Neural Architecture Search

International Journal of Computer Vision
2023 | Journal article
Contributors: Wang, Runqi; Yang, Linlin; Chen, Hanlin; Wang, Wei; Doermann, David; Zhang, Baochang
Source: Self-asserted source
DAVID DOERMANN

Progressive Multi-View Human Mesh Recovery with Self-Supervision

Proceedings of the AAAI Conference on Artificial Intelligence
2023 | Conference paper
Contributors: Gong, Xuan; Song, Liangchen; Zheng, Meng; Planche, Benjamin; Chen, Terrence; Yuan, Junsong; Doermann, David; Wu, Ziyan
Source: Self-asserted source
DAVID DOERMANN

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

Document Analysis and Recognition - ICDAR 2023
2023 | Conference paper
DOI: 10.1007/978-3-031-41679-8_5
Part of ISBN: 978-3-031-41679-8
Contributors: Ahmed, Saleem; Yan, Pengyu; Doermann, David; Setlur, Srirangaraj; Govindaraju, Venu; Fink, Gernot A.; Jain, Rajiv; Kise, Koichi; Zanibbi, Richard
Source: Self-asserted source
DAVID DOERMANN

Binary Neural Networks: Algorithms, Architectures, and Applications

2023-12 | Book
ISBN: 978-1-00-381685-0
Contributors: Zhang, Baochang; Xu, Sheng; Lin, Mingbao; Wang, Tiancheng; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

Advances in Neural Information Processing Systems
2023-12 | Journal article
URI:

https://proceedings.neurips.cc/paper_files/paper/2023/hash/0207c9ea9faf66c6e892c3fa3c167b75-Abstract-Conference.html
Contributors: Wang, Zhenyi; Shen, Li; Liu, Tongliang; Duan, Tiehang; Zhu, Yanjun; Zhan, Donglin; Doermann, David; Gao, Mingchen
Source: Self-asserted source
DAVID DOERMANN

Federated Learning via Input-Output Collaborative Distillation

2023-12 | Other
DOI: 10.48550/arXiv.2312.14478
Contributors: Gong, Xuan; Li, Shanglin; Bao, Yuxiang; Yao, Barry; Huang, Yawen; Wu, Ziyan; Zhang, Baochang; Zheng, Yefeng; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

2023-11 | Conference paper
URI:

https://openreview.net/forum?id=7DZAVpOoAK
Contributors: Wang, Zhenyi; Shen, Li; Liu, Tongliang; Duan, Tiehang; Zhu, Yanjun; Zhan, Donglin; Doermann, David; Gao, Mingchen
Source: Self-asserted source
DAVID DOERMANN

Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation

Proceedings of the 31st ACM International Conference on Multimedia
2023-10 | Conference paper
DOI: 10.1145/3581783.3612162
Part of ISBN: 9798400701085
Contributors: Song, Liangchen; Gong, Xuan; Zhou, Helong; Chen, Jiajie; Zhang, Qian; Doermann, David; Yuan, Junsong
Source: Self-asserted source
DAVID DOERMANN

Language-guided Human Motion Synthesis with Atomic Actions

2023-08 | Other
DOI: 10.48550/arXiv.2308.09611
Contributors: Zhai, Yuanhao; Huang, Mingzhen; Luan, Tianyu; Dong, Lu; Nwogu, Ifeoma; Lyu, Siwei; Doermann, David; Yuan, Junsong
Source: Self-asserted source
DAVID DOERMANN

A Survey on Change Detection Techniques in Document Images

2023-07 | Other
DOI: 10.48550/arXiv.2307.07691
Contributors: Pun, Abhinandan Kumar; Javed, Mohammed; Doermann, David S.
Source: Self-asserted source
DAVID DOERMANN

A Survey on Figure Classification Techniques in Scientific Documents

2023-07 | Other
DOI: 10.48550/arXiv.2307.05694
Contributors: Dhote, Anurag; Javed, Mohammed; Doermann, David S.
Source: Self-asserted source
DAVID DOERMANN

Document Image Quality Assessment: A Survey

ACM Computing Surveys
2023-06 | Journal article
DOI: 10.1145/3606692
Part of ISSN: 0360-0300
Contributors: Alaei, Alireza; Bui, Vinh; Doermann, David; Pal, Umapada
Source: Self-asserted source
DAVID DOERMANN

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

2023-06 | Other
DOI: 10.48550/arXiv.2307.00198
Contributors: Lin, Shaohui; Huang, Wenxuan; Xie, Jiao; Zhang, Baochang; Shen, Yunhang; Yu, Zhou; Han, Jungong; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Long term 5G network traffic forecasting via modeling non-stationarity with deep learning

Communications Engineering
2023-06 | Journal article
DOI: 10.1038/s44172-023-00081-4
Part of ISSN: 2731-3395
Contributors: Yang, Yuguang; Geng, Shupeng; Zhang, Baochang; Zhang, Juan; Wang, Zheng; Zhang, Yong; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Context-Aware Chart Element Detection

2023-05 | Other
DOI: 10.48550/arXiv.2305.04151
Contributors: Yan, Pengyu; Ahmed, Saleem; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation

2023-05 | Other
DOI: 10.48550/arXiv.2305.01837
Contributors: Lal, Jay; Mitkari, Aditya; Bhosale, Mahesh; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning

International Journal of Computer Vision
2023-01 | Journal article
DOI: 10.1007/s11263-022-01700-x
Part of ISSN: 1573-1405
Contributors: Wang, Runqi; Liu, Zhen; Zhang, Baochang; Guo, Guodong; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization

IEEE Transactions on Pattern Analysis & Machine Intelligence
2022 | Journal article
Contributors: Zhai, Yuanhao; Wang, Le; Tang, Wei; Zhang, Qilin; Zheng, Nanning; Doermann, David; Yuan, Junsong; Hua, Gang
Source: Self-asserted source
DAVID DOERMANN

BiRe-ID: Binary Neural Network for Efficient Person Re-ID

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
2022 | Journal article
Contributors: Xu, Sheng; Liu, Chang; Zhang, Baochang; Lü, Jinhu; Guo, Guodong; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation

arXiv preprint arXiv:2203.09082
2022 | Journal article
Contributors: Wang, Runqi; Yang, Linlin; Zhang, Baochang; Zhu, Wentao; Doermann, David; Guo, Guodong
Source: Self-asserted source
DAVID DOERMANN

Data-adaptive binary neural networks for efficient object detection and recognition

Pattern Recognition Letters
2022 | Journal article
Contributors: Zhao, Junhe; Xu, Sheng; Wang, Runqi; Zhang, Baochang; Guo, Guodong; Doermann, David; Sun, Dianmin
Source: Self-asserted source
DAVID DOERMANN

Federated Learning with Privacy-Preserving Ensemble Attention Distillation

IEEE Transactions on Medical Imaging
2022 | Journal article
DOI: 10.1109/TMI.2022.3213244
Part of ISSN: 1558-254X
Contributors: Gong, Xuan; Song, Liangchen; Vedula, Rishi; Sharma, Abhishek; Zheng, Meng; Planche, Benjamin; Innanje, Arun; Chen, Terrence; Yuan, Junsong; Doermann, David et al.
Source: Self-asserted source
DAVID DOERMANN

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

2022 | Journal article
Contributors: Gong, Xuan; Sharma, Abhishek; Karanam, Srikrishna; Wu, Ziyan; Chen, Terrence; Doermann, David; Innanje, Arun
Source: Self-asserted source
DAVID DOERMANN

Smart mask–Wearable IoT solution for improved protection and personal health

Internet of Things
2022 | Journal article
Contributors: Hyysalo, Jarkko; Dasanayake, Sandun; Hannu, Jari; Schuss, Christian; Rajanen, Mikko; Leppänen, Teemu; Doermann, David; Sauvola, Jaakko
Source: Self-asserted source
DAVID DOERMANN

Towards compact 1-bit cnns via bayesian learning

International Journal of Computer Vision
2022 | Journal article
Contributors: Zhao, Junhe; Xu, Sheng; Zhang, Baochang; Gu, Jiaxin; Doermann, David; Guo, Guodong
Source: Self-asserted source
DAVID DOERMANN

Uncertainty Learning towards Unsupervised Deformable Medical Image Registration

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2022 | Conference paper
Contributors: Gong, Xuan; Khaidem, Luckyson; Zhu, Wentao; Zhang, Baochang; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

A Knowledge Enforcement Network-Based Approach for Classifying a Photographer’s Images

International Journal of Pattern Recognition and Artificial Intelligence
2022-12 | Journal article
DOI: 10.1142/S021800142250046X
Part of ISSN: 0218-0014
Contributors: Shivakumara, Palaiahnakote; Chowdhury, Pinaki Nath; Pal, Umapada; Doermann, David; Ramachandra, Raghavendra; Lu, Tong; Blumenstein, Michael
Source: Self-asserted source
DAVID DOERMANN

Progressive Multi-view Human Mesh Recovery with Self-Supervision

2022-12 | Other
DOI: 10.48550/arXiv.2212.05223
Contributors: Gong, Xuan; Song, Liangchen; Zheng, Meng; Planche, Benjamin; Chen, Terrence; Yuan, Junsong; Doermann, David; Wu, Ziyan
Source: Self-asserted source
DAVID DOERMANN

PIMNet: Physics-Infused Neural Network for Human Motion Prediction

IEEE Robotics and Automation Letters
2022-10 | Journal article
DOI: 10.1109/LRA.2022.3188892
Part of ISSN: 2377-3766
Contributors: Zhang, Zhibo; Zhu, Yanjun; Rai, Rahul; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

PREF: Predictability Regularized Neural Motion Fields

2022-09 | Other
DOI: 10.48550/arXiv.2209.10691
Contributors: Song, Liangchen; Gong, Xuan; Planche, Benjamin; Zheng, Meng; Doermann, David; Yuan, Junsong; Chen, Terrence; Wu, Ziyan
Source: Self-asserted source
DAVID DOERMANN

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

2022-09 | Other
DOI: 10.48550/arXiv.2209.04596
Contributors: Gong, Xuan; Zheng, Meng; Planche, Benjamin; Karanam, Srikrishna; Chen, Terrence; Doermann, David; Wu, Ziyan
Source: Self-asserted source
DAVID DOERMANN

Cogradient Descent for Dependable Learning

arXiv preprint arXiv:2106.10617
2021 | Journal article
Contributors: Wang, Runqi; Zhang, Baochang; Zhuo, Li'an; Ye, Qixiang; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Cp-nas: Child-parent neural architecture search for 1-bit cnns

Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence
2021 | Conference paper
Contributors: Zhang, Baochang; Chen, Hanlin; Yang, Linlin; Chen, Chen; Zhu, Yanjun; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

Data-Adaptive Binary Neural Networks for Efficient Object Detection and Recognition

Pattern Recognition Letters
2021 | Journal article
Contributors: Zhao, Junhe; Xu, Sheng; Wang, Runqi; Zhang, Baochang; Guo, Guodong; Doermann, David; Sun, Dianmin
Source: Self-asserted source
DAVID DOERMANN

Deformable Gabor Feature Networks for Biomedical Image Classification

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2021 | Conference paper
Contributors: Gong, Xuan; Xia, Xin; Zhu, Wentao; Zhang, Baochang; Doermann, David; Zhuo, Li'an
Source: Self-asserted source
DAVID DOERMANN

Ensemble Attention Distillation for Privacy-Preserving Federated Learning

Proceedings of the IEEE/CVF International Conference on Computer Vision
2021 | Conference paper
Contributors: Gong, Xuan; Sharma, Abhishek; Karanam, Srikrishna; Wu, Ziyan; Chen, Terrence; Doermann, David; Innanje, Arun
Source: Self-asserted source
DAVID DOERMANN

Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning

IEEE Computational Intelligence Magazine
2021 | Journal article
Contributors: Xue, Song; Chen, Hanlin; Xie, Chunyu; Zhang, Baochang; Gong, Xuan; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

HH-CompWordNet: Holistic Handwritten Word Recognition in the Compressed Domain

2021 Data Compression Conference (DCC)
2021 | Conference paper
Contributors: Rajesh, Bulla; Jain, Priyanshu; Javed, Mohammed; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

IDARTS: Interactive Differentiable Architecture Search

Proceedings of the IEEE/CVF International Conference on Computer Vision
2021 | Conference paper
Contributors: Xue, Song; Wang, Runqi; Zhang, Baochang; Wang, Tian; Guo, Guodong; Doermann, David
Source: Self-asserted source
DAVID DOERMANN

IffDetector: inference-aware feature filtering for object detection

IEEE Transactions on Neural Networks and Learning Systems
2021 | Journal article
Contributors: Mao, Mingyuan; Tian, Yuxin; Zhang, Baochang; Ye, Qixiang; Liu, Wanquan; Doermann, David
Source: Self-asserted source
DAVID DOERMANN
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