🧑‍🔬 Marcus Rohrbach — all works

51 works · ← Marcus Rohrbach

1. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual GroundingConference on Empirical Methods in Natural Language Processing (EMNLP)Akira Fukui, Dong Huk Park, Daylen Yang, et al.2016 · 1,684 citations
2. Memory Aware Synapses: Learning what (not) to forget ↗arXiv:1711.09601 · no summary yetRahaf Aljundi et al.2017 · 1,608 citations
3. Sequence to Sequence — Video to Text ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetSubhashini Venugopalan et al.2015 · 1,441 citations
4. Neural Module NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2015 · 1,140 citations
5. Towards VQA Models That Can Read ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmanpreet Singh et al.2019 · 1,122 citations
6. Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYunpeng Chen et al.2019 · 751 citations
7. FLAVA: A Foundational Language And Vision Alignment Model ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmanpreet Singh et al.2022 · 682 citations
8. Learning to Reason: End-to-End Module Networks for Visual Question Answering ↗arXiv:1704.05526 · no summary yetRonghang Hu et al.2017 · 621 citations
9. Natural Language Object Retrieval ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRonghang Hu et al.2016 · 587 citations
10. Learning to Compose Neural Networks for Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2016 · 573 citations
11. Generating Visual Explanations ↗Lecture notes in computer science · no summary yetLisa Anne Hendricks et al.2016 · 558 citations
12. Grounding Action Descriptions in VideosTransactions of the Association for Computational Linguistics (TACL)Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, et al.2013 · 535 citations
13. Graph-Based Global Reasoning Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYunpeng Chen et al.2019 · 520 citations
14. A dataset for Movie Description ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAnna Rohrbach et al.2015 · 501 citations
15. 12-in-1: Multi-Task Vision and Language Representation Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiasen Lu et al.2020 · 500 citations
16. Segmentation from Natural Language Expressions ↗Lecture notes in computer science · no summary yetRonghang Hu, Marcus Rohrbach, Trevor Jackson Darrell2016 · 465 citations
17. Multimodal Explanations: Justifying Decisions and Pointing to the Evidence ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDong Huk Park et al.2018 · 457 citations
18. Modeling Relationships in Referential Expressions with Compositional Modular Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRonghang Hu et al.2017 · 415 citations
19. TextCaps: a Dataset for Image Captioning with Reading Comprehension ↗arXiv:2003.12462 · no summary yetOleksii Sidorov et al.2020 · 331 citations
20. Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLisa Anne Hendricks et al.2016 · 313 citations
21. Decoupling Representation and Classifier for Long-Tailed Recognition ↗arXiv (Cornell University) · no summary yetBingyi Kang et al.2019 · 257 citations
22. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
23. Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRonghang Hu et al.2020 · 240 citations
24. KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKenneth Marino et al.2021 · 222 citations
25. Visual Coreference Resolution in Visual Dialog Using Neural Module Networks ↗Lecture notes in computer science · no summary yetSatwik Kottur et al.2018 · 200 citations
26. Cycle-Consistency for Robust Visual Question Answering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMeet Shah et al.2019 · 195 citations
27. Grounded Video Description ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLuowei Zhou et al.2019 · 195 citations
28. Captioning Images with Diverse Objects ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSubhashini Venugopalan et al.2017 · 194 citations
29. Pythia v0.1: the Winning Entry to the VQA Challenge 2018 ↗arXiv (Cornell University) · no summary yetYu Lian Jiang et al.2018 · 181 citations
30. Adversarial Continual Learning ↗Lecture notes in computer science · no summary yetSayna Ebrahimi et al.2020 · 173 citations
31. Multimodal Video Description ↗ACM International Conference on Multimedia (ACM MM) · no summary yetVasili Ramanishka et al.2016 · 140 citations
32. Adversarial Inference for Multi-Sentence Video Description ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJae Sung Park et al.2019 · 99 citations
33. CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, et al.2019 · 94 citations
34. A Dataset for Telling the Stories of Social Media Videos ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSpandana Gella, Mike Lewis, Marcus Rohrbach2018 · 79 citations
35. Generating Descriptions with Grounded and Co-referenced People ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAnna Rohrbach et al.2017 · 60 citations
36. Attentive Explanations: Justifying Decisions and Pointing to the Evidence ↗arXiv (Cornell University) · no summary yetDong Huk Park et al.2016 · 60 citations
37. Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly ↗Lecture notes in computer science · no summary yetSpencer Whitehead et al.2022 · 57 citations
38. CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog ↗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 yetSatwik Kottur et al.2019 · 54 citations
39. Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering ↗arXiv (Cornell University) · no summary yetRamakrishna Vedantam et al.2019 · 53 citations
40. Remembering for the right reasons: Explanations reduce catastrophic forgetting ↗Applied AI Letters · no summary yetSayna Ebrahimi et al.2021 · 44 citations
41. Uncertainty-guided Continual Learning with Bayesian Neural Networks ↗arXiv (Cornell University) · no summary yetSayna Ebrahimi et al.2019 · 39 citations
42. Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags ↗AAAI-16 · no summary yetNiket Tandon et al.2016 · 31 citations
43. Spatial Semantic Regularisation for Large Scale Object Detection ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetDamian Mrowca et al.2015 · 19 citations
44. Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions ↗arXiv (Cornell University) · no summary yetRonghang Hu et al.2016 · 16 citations
45. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
46. Simple Token-Level Confidence Improves Caption Correctness ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetSuzanne Petryk et al.9 citations
47. Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract) ↗arXiv (Cornell University) · no summary yetDong Huk Park et al.2017 · 5 citations
48. VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Mark Rothermel, Marcus Kornmann, Marcus Rohrbach, et al.2026 · 3 citations
49. Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. ↗no summary yetSayna Ebrahimi et al.2019 · 3 citations
50. Uncertainty-guided Lifelong Learning in Bayesian Networks ↗no summary yetSayna Ebrahimi et al.2018 · 1 citation
51. 深部組成キャプション付け:対訓練データを用いない新しい記述オブジェクトカテゴリー【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetLisa Anne Hendricks et al.2016

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/marcus-rohrbach/works/