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Alexander G. Hauptmann

Alexander G. Hauptmann has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Sentiment & emotion, Vision & language; often with Chunyuan Li, Haoyang Wen, Ruohong Zhang.

2 papers in our library · 2023–2025

OpenAlex · h-index 56 · 293 works · 11,152 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 254 times in our library · 21 more in our library without a page yet · ⭐ Paper Stars ranking: #7599

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States1986–2025 · 228 paperscurrent🎓The University of MelbourneMelbourne · Australia2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward (2025 · 32 citations)
    Preference optimization methods like DPO help align language models, but they are hard to use for video LMMs.
  2. Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation (2023 · 26 citations)
    Stance detection decides whether a text supports, opposes, or is neutral toward a target. The VAST benchmark makes this harder because most test targets appear rarely or never in training. Earlier VAST systems treat the task as classification, learning label vectors from scratch and ignoring the meaning of the label…

All works

23 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Contrastive Adaptation Network for Unsupervised Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGuoliang Kang et al.2019 · 961 citations
  2. Self-Paced Curriculum Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLu Jiang et al.2015 · 521 citations
  3. A discriminative CNN video representation for event detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhongwen Xu, Yi Ping Yang, Alexander G. Hauptmann2015 · 441 citations
  4. DevNet: A Deep Event Network for multimedia event detection and evidence recounting ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChuang Gan et al.2015 · 330 citations
  5. Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhenzhong Lan et al.2015 · 275 citations
  6. Peeking Into the Future: Predicting Future Person Activities and Locations in Videos ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJunwei Liang et al.2019 · 256 citations
  7. KAT: A Knowledge Augmented Transformer for Vision-and-Language ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetLiangke Gui et al.2022 · 161 citations
  8. Self-Paced Learning for Matrix Factorization ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetQian Zhao et al.2015 · 149 citations
  9. Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning ↗neural information processing systems · no summary yetZebang Cheng et al.2024 · 133 citations
  10. Describing Videos using Multi-modal Fusion ↗ACM International Conference on Multimedia (ACM MM) · no summary yetQin Jin et al.2016 · 107 citations
  11. Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChuang Gan et al.2016 · 75 citations
  12. Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPo-Yao Huang et al.2021 · 71 citations
  13. Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetShoou-I Yu, Yi Ping Yang, Alexander G. Hauptmann2013 · 68 citations
  14. ExCL: Extractive Clip Localization Using Natural Language Descriptions ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetSoham Ghosh et al.2019 · 67 citations
  15. Complex Event Detection via Multi-source Video Attributes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhigang Ma et al.2013 · 63 citations
  16. Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ruohong Zhang, Liangke Gui, Zhiqing Sun, et al.2025 · 32 citations
  17. Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyang Wen, Alexander Hauptmann2023 · 26 citations
  18. SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. ↗Journal of International Crisis and Risk Communication Research · no summary yetHui Cheng et al.2012 · 25 citations
  19. Connectionist and Symbolic Processing in Speech-to-Speech Translation: The JANUS System ↗Proceedings of Machine Translation Summit III: Papers · no summary yetA. N. Jain et al.1991 · 20 citations
  20. Team SRI-Sarnoff 's AURORA System @ TRECVID 2011 ↗no summary yetHui Cheng et al.2011 · 6 citations
  21. Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetLiangke Gui et al.2021 · 5 citations
  22. Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. ↗TRECVID · no summary yetJia Chen et al.2018 · 2 citations
  23. GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetFengyi Wu et al.2026

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 254 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

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