---
title: "Trevor Jackson Darrell — author profile and papers in our library"
description: "Trevor Jackson Darrell, Berkeley College: 8 papers on Elamur Research (2013–2023), h-index 145 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/trevor-jackson-darrell/"
---
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# Trevor Jackson Darrell

Trevor Jackson Darrell has 8 papers in our library, in 2013–2023, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Marcus Rohrbach](https://md.research.elamur.ai/free/en/authors/marcus-rohrbach/), [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/), [Anna Rohrbach](https://md.research.elamur.ai/free/en/authors/anna-rohrbach/).

8 papers in our library · 2013–2023

[OpenAlex](https://openalex.org/A5029105520) · [ORCID](https://orcid.org/0000-0001-5453-8533) · [Wikidata](https://www.wikidata.org/wiki/Q56678928) · [**h-index 145**](https://openalex.org/authors/A5029105520) · [1,009 works](https://openalex.org/works?filter=author.id:A5029105520) · [210,188 citations](https://openalex.org/works?filter=author.id:A5029105520&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/#papers) · [🔗 Cited 7,658 times in our library](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/cited-by/) · [780 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #38](https://md.research.elamur.ai/free/en/paper-stars/#star-38)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Trevor+Jackson+Darrell) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Trevor+Jackson+Darrell) · [dblp](https://dblp.org/search?q=Trevor+Jackson+Darrell) · [ACL Anthology](https://aclanthology.org/search/?q=Trevor+Jackson+Darrell)

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2008–2026 · 415 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Berkeley College** New York · United States 2018–2026 · 4 papers*current*](https://ror.org/02xewxa75) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 1990–2012 · 147 papersEducation](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2001–2012 · 66 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🔬**International Computer Science Institute** Berkeley · United States 2008–2016 · 52 papers](https://md.research.elamur.ai/free/en/labs/international-computer-science-institute/) · [🔬**MIT Media Lab** Cambridge · United States 1990–2005 · 29 papers](https://md.research.elamur.ai/free/en/labs/mit-media-lab/) · [🔬**Lawrence Berkeley National Laboratory** Berkeley · United States 2017–2018 · 3 papers](https://md.research.elamur.ai/free/en/labs/lawrence-berkeley-national-laboratory/) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🏢**Meta** London · United Kingdom 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🏢**Meta** Menlo Park · United States 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 24 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 3 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Question answering · 2 works](https://md.research.elamur.ai/free/en/concepts/question-answering/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2023/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2018/) · [**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2015/) · [**2014** 2 papers](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2014/) · [**2013** 1 paper](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/year/2013/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Rich feature hierarchies for accurate object detection and semantic segmentation](https://md.research.elamur.ai/free/en/papers/girshick-2013-rich-feature-hierarchies-accurate-object/)** *(2013 · 31,930 citations)* Detection results on PASCAL VOC had stalled, with leading systems relying on complex ensembles of hand-crafted features such as SIFT and HOG.
2. **[Caffe: Convolutional Architecture for Fast Feature Embedding](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)** *(2014 · 4,209 citations)* Deep convolutional networks had overtaken handcrafted features in visual recognition. Yet reproducing published results often took months, and few toolkits offered fast, ready-to-deploy models. The BVLC team at UC Berkeley presents Caffe, an open-source, BSD-licensed C++ library with CUDA support and Python and…
3. **[Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/)** *(2016 · 1,684 citations)* Visual question answering and phrase grounding both require fusing an image vector with a text vector. Typical fusion methods such as concatenation, element-wise sum or element-wise product may miss rich cross-modal interactions. A full outer product captures every pairwise interaction, but it is far too large to…
4. **[Neural Module Networks](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/)** *(2015 · 1,140 citations)* Visual question answering systems of the time usually compressed a question into one vector, either a bag of words or an LSTM encoding, and passed it with image features to a single classifier.
5. **[Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/)** *(2018 · 626 citations)* Image captioning systems often name objects that are not in the picture. Standard caption metrics compare output only to reference sentences, so they can miss this kind of error. The authors propose a metric called CHAIR, short for Caption Hallucination Assessment with Image Relevance; it verifies each object named…
6. **[Learning to Compose Neural Networks for Question Answering](https://md.research.elamur.ai/free/en/papers/andreas-2016-learning-compose-neural-networks-question/)** *(2016 · 573 citations)* The paper addresses question answering over two very different kinds of "worlds": natural images and a structured geography knowledge base.
7. **[Long-term Recurrent Convolutional Networks for Visual Recognition and Description](https://md.research.elamur.ai/free/en/papers/donahue-2014-long-term-recurrent-convolutional-networks/)** *(2014 · 245 citations)* Deep CNNs had come to dominate image interpretation, but most video and description systems still relied on a fixed visual representation or simple averaging over time.
8. **[Aligning Large Multimodal Models with Factually Augmented RLHF](https://md.research.elamur.ai/free/en/papers/sun-2023-aligning-large-multimodal-models-factually/)** *(2023 · 176 citations)* Large Multimodal Models (LMMs) often "hallucinate," producing text that the image does not support. The authors attribute this to weak vision-language alignment, since multimodal instruction data is much smaller than text-only collections. They introduce LLaVA-RLHF, which they describe as the first LMM aligned with…

## All works

788 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

1. **[Fully convolutional networks for semantic segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298965) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jonathan Long, Evan Shelhamer, Trevor Jackson Darrell*2015 · 36,796 citations*
2. **[Rich feature hierarchies for accurate object detection and semantic segmentation](https://md.research.elamur.ai/free/en/papers/girshick-2013-rich-feature-hierarchies-accurate-object/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Ross Girshick, Jeff Donahue, Trevor Darrell, et al.*2013 · 31,930 citations*
3. **[Fully Convolutional Networks for Semantic Segmentation ↗](https://doi.org/10.1109/tpami.2016.2572683) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Evan Shelhamer, Jonathan Long, Trevor Jackson Darrell*2016 · 11,508 citations*
4. **[Caffe ↗](https://doi.org/10.1145/2647868.2654889) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yangqing Jia et al.*2014 · 10,940 citations*
5. **[A ConvNet for the 2020s ↗](https://doi.org/10.1109/cvpr52688.2022.01167) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhuang Liu et al.*2022 · 8,531 citations*
6. **[Context Encoders: Feature Learning by Inpainting ↗](https://doi.org/10.1109/cvpr.2016.278) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Deepak Pathak et al.*2016 · 5,531 citations*
7. **[Adversarial Discriminative Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2017.316) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Eric Tzeng et al.*2017 · 4,938 citations*
8. [**Caffe: Convolutional Architecture for Fast Feature Embedding arXiv:1408.5093**Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.*2014 · 4,209 citations*](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)
9. **[Pfinder: real-time tracking of the human body ↗](https://doi.org/10.1109/34.598236) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Christopher R. Wren et al.*1997 · 4,171 citations*
10. **[DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ↗](https://arxiv.org/abs/1310.1531) arXiv:1310.1531 · no summary yet**Jeff Donahue et al.*2013 · 3,463 citations*
11. **[Region-Based Convolutional Networks for Accurate Object Detection and Segmentation ↗](https://doi.org/10.1109/tpami.2015.2437384) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Ross Girshick et al.*2015 · 2,926 citations*
12. **[Adapting Visual Category Models to New Domains ↗](https://doi.org/10.1007/978-3-642-15561-1_16) Lecture notes in computer science · no summary yet**Kate Saenko et al.*2010 · 2,751 citations*
13. **[BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning ↗](https://doi.org/10.1109/cvpr42600.2020.00271) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Fisher Yu et al.*2020 · 2,539 citations*
14. **[Deep Domain Confusion: Maximizing for Domain Invariance ↗](https://arxiv.org/abs/1412.3474) arXiv (Cornell University) · no summary yet**Eric Tzeng et al.*2014 · 2,210 citations*
15. **[Curiosity-driven Exploration by Self-supervised Prediction ↗](https://arxiv.org/abs/1705.05363) arXiv:1705.05363 · no summary yet**Deepak Pathak et al.*2017 · 1,820 citations*
16. **[Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akira Fukui, Dong Huk Park, Daylen Yang, et al.*2016 · 1,684 citations*
17. **[Deep Layer Aggregation ↗](https://doi.org/10.1109/cvpr.2018.00255) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Fisher Yu et al.*2018 · 1,565 citations*
18. **[The pyramid match kernel: discriminative classification with sets of image features ↗](https://doi.org/10.1109/iccv.2005.239) no summary yet**Kristen Grauman, Trevor Jackson Darrell*2005 · 1,487 citations*
19. **[End-to-End Training of Deep Visuomotor Policies ↗](https://arxiv.org/abs/1504.00702) arXiv:1504.00702 · no summary yet**Sergey Levine et al.*2015 · 1,463 citations*
20. **[Sequence to Sequence — Video to Text ↗](https://doi.org/10.1109/iccv.2015.515) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Subhashini Venugopalan et al.*2015 · 1,441 citations*
21. **[Part-Based R-CNNs for Fine-Grained Category Detection ↗](https://doi.org/10.1007/978-3-319-10590-1_54) Lecture notes in computer science · no summary yet**Ning Zhang et al.*2014 · 1,168 citations*
22. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1109/iccv.2015.463) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Eric Tzeng et al.*2015 · 1,152 citations*
23. **[Neural Module Networks](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2015 · 1,140 citations*
24. **[Localizing Moments in Video with Natural Language ↗](https://doi.org/10.1109/iccv.2017.618) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Lisa Anne Hendricks et al.*2017 · 1,095 citations*
25. **[Rethinking the Value of Network Pruning ↗](https://arxiv.org/abs/1810.05270) arXiv (Cornell University) · no summary yet**Zhuang Liu et al.*2018 · 960 citations*

[See all 788 works by Trevor Jackson Darrell →](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/works/)

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Marcus Rohrbach](https://md.research.elamur.ai/free/en/authors/marcus-rohrbach/) ×4
- [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/) ×3
- [Anna Rohrbach](https://md.research.elamur.ai/free/en/authors/anna-rohrbach/) ×2
- [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/) ×2
- [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) ×2
- [Kate Saenko](https://md.research.elamur.ai/free/en/authors/kate-saenko/) ×2
- [Lisa Anne Hendricks](https://md.research.elamur.ai/free/en/authors/lisa-anne-hendricks/) ×2
- [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/) ×2
- [Sergio Guadarrama](https://md.research.elamur.ai/free/en/authors/sergio-guadarrama/) ×2
- [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/)
- [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/)
- [Haotian Liu](https://md.research.elamur.ai/free/en/authors/haotian-liu/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×100
- Lecture notes in computer science ×43
- IEEE/CVF International Conference on Computer Vision (ICCV) ×21
- neural information processing systems ×18
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings ×16
- IEEE International Conference on Computer Vision (ICCV) ×15
- IEEE Transactions on Pattern Analysis and Machine Intelligence ×15
- International Conference on Multimodal Interfaces ×10
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×9: [EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/), [EMNLP 2016](https://md.research.elamur.ai/free/en/venues/emnlp/2016/)
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ×8
- UC Berkeley ×8
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ×6

## Cited by

Papers of our library cite their works 7,658 times (of the 149,439 papers whose bibliographies we read); [445 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/cited-by/).

Updated 30 October 2026