2026 Alexander G. Hauptmann: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	94	486	473	262	254	553	32976

Overview

Alexander G. Hauptmann is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering, and Aerospace Engineering.

Their work covers a range of topics including:

Video Surveillance and Tracking Methods
Multimodal Machine Learning Applications
Anomaly Detection Techniques and Applications
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications

Hauptmann has contributed to a number of scholarly papers across various respected venues. Notable recent publications include:

"Rethinking Spatial Invariance of Convolutional Networks for Object Counting," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"KAT: A Knowledge Augmented Transformer for Vision-and-Language," 2022, published in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
"Deep Discrete Cross-Modal Hashing with Multiple Supervision," 2021, published in Neurocomputing
"Few-shot activity recognition with cross-modal memory network," 2020, published in Pattern Recognition
"Support-set bottlenecks for video-text representation learning," 2020, published on arXiv (Cornell University)

The venues where Hauptmann has frequently published include:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Neurocomputing
Pattern Recognition

Hauptmann has collaborated extensively with several researchers, including:

Zhi-Qi Cheng
Junwei Liang
Xiaojun Chang
Florian Metze
Po-Yao Huang

Best Publications

Person Re-identification: Past, Present and Future

Liang Zheng;Yi Yang;Alexander G. Hauptmann

1244
Citations
Evaluating bag-of-visual-words representations in scene classification

Jun Yang;Yu-Gang Jiang;Alexander G. Hauptmann;Chong-Wah Ngo

1198
Citations
Infrared Patch-Image Model for Small Target Detection in a Single Image

Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

1176
Citations
Contrastive Adaptation Network for Unsupervised Domain Adaptation

Guoliang Kang;Lu Jiang;Yi Yang;Alexander G. Hauptmann

957
Citations
Large-scale concept ontology for multimedia

M. Naphade;J.R. Smith;J. Tesic;Shih-Fu Chang

818
Citations
Cross-domain video concept detection using adaptive svms

Jun Yang;Rong Yan;Alexander G. Hauptmann

812
Citations
A discriminative CNN video representation for event detection

Zhongwen Xu;Yi Yang;Alexander G. Hauptmann

532
Citations
Self-paced curriculum learning

Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

532
Citations
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

Yi Yang;Zhigang Ma;Feiping Nie;Xiaojun Chang

494
Citations
Practical elimination of near-duplicates from web video search

Xiao Wu;Alexander G. Hauptmann;Chong-Wah Ngo

465
Citations
MoSIFT: Recognizing Human Actions in Surveillance Videos

Ming-Yu Chen;Alexander Hauptmann

414
Citations
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

Jiang Liu;Chenqiang Gao;Deyu Meng;Alexander G. Hauptmann

413
Citations
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

Junwei Liang;Lu Jiang;Juan Carlos Niebles;Alexander G. Hauptmann

406
Citations
DevNet: A Deep Event Network for multimedia event detection and evidence recounting

Chuang Gan;Naiyan Wang;Yi Yang;Dit-Yan Yeung

375
Citations
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition

Zhenzhong Lan;Ming Lin;Xuanchong Li;Alexander G. Hauptmann

350
Citations
Self-Paced Learning with Diversity

Lu Jiang;Deyu Meng;Shoou-I Yu;Zhenzhong Lan

342
Citations
Which Side are You on? Identifying Perspectives at the Document and Sentence Levels

Wei-Hao Lin;Theresa Wilson;Janyce Wiebe;Alexander Hauptmann

340
Citations
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study

Yu-Gang Jiang;Jun Yang;Chong-Wah Ngo;A.G. Hauptmann

332
Citations
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

328
Citations
Hidden Two-Stream Convolutional Networks for Action Recognition

Yi Zhu;Zhen-Zhong Lan;Shawn D. Newsam;Alexander G. Hauptmann

326
Citations
Lessons learned from building a terabyte digital video library

H.D. Wactlar;M.G. Christel;Yihong Gong;A.G. Hauptmann

319
Citations
Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search

Lu Jiang;Deyu Meng;Teruko Mitamura;Alexander G. Hauptmann

312
Citations

Frequent Co-Authors

Michael G. Christel Carnegie Mellon University

Rong Yan Snapchat

Xiaojun Chang University of Technology Sydney

Rong Jin Alibaba Group (China)

Deyu Meng Xi'an Jiaotong University

Nicu Sebe University of Trento

Teruko Mitamura Carnegie Mellon University

Florian Metze Carnegie Mellon University

Bhiksha Raj Carnegie Mellon University

Chong-Wah Ngo Singapore Management University

External Links

Wikipedia of Alexander G. Hauptmann Personal website of Alexander G. Hauptmann Google Scholar page

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