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 6Computer Science · 8 works Computer Vision and Pattern Recognition · 8 works Artificial Intelligence · 4 works Hardware and Architecture · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work

🧭 Topics 2Vision & language · 3 works Question answering · 2 works

💡 Concepts 1Question answering · 2 works

Works by year

2020s

20231 paper

2010s

20181 paper 20162 papers 20151 paper 20142 papers 20131 paper

Papers

The most cited first (OpenAlex and our library).

Rich feature hierarchies for accurate object detection and semantic segmentation (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.
Caffe: Convolutional Architecture for Fast Feature Embedding (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…
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding (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…
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.
Object Hallucination in 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…
Learning to Compose Neural Networks for Question Answering (2016 · 573 citations)
The paper addresses question answering over two very different kinds of "worlds": natural images and a structured geography knowledge base.
Long-term Recurrent Convolutional Networks for Visual Recognition and Description (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.
Aligning Large Multimodal Models with Factually Augmented RLHF (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.

Fully convolutional networks for semantic segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJonathan Long, Evan Shelhamer, Trevor Jackson Darrell2015 · 36,796 citations
Rich feature hierarchies for accurate object detection and semantic segmentationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRoss Girshick, Jeff Donahue, Trevor Darrell, et al.2013 · 31,930 citations
Fully Convolutional Networks for Semantic Segmentation ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetEvan Shelhamer, Jonathan Long, Trevor Jackson Darrell2016 · 11,508 citations
Caffe ↗ACM International Conference on Multimedia (ACM MM) · no summary yetYangqing Jia et al.2014 · 10,940 citations
A ConvNet for the 2020s ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhuang Liu et al.2022 · 8,531 citations
Context Encoders: Feature Learning by Inpainting ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDeepak Pathak et al.2016 · 5,531 citations
Adversarial Discriminative 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 yetEric Tzeng et al.2017 · 4,938 citations
Caffe: Convolutional Architecture for Fast Feature EmbeddingarXiv:1408.5093Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,209 citations
Pfinder: real-time tracking of the human body ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetChristopher R. Wren et al.1997 · 4,171 citations
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ↗arXiv:1310.1531 · no summary yetJeff Donahue et al.2013 · 3,463 citations
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetRoss Girshick et al.2015 · 2,926 citations
Adapting Visual Category Models to New Domains ↗Lecture notes in computer science · no summary yetKate Saenko et al.2010 · 2,751 citations
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask 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 yetFisher Yu et al.2020 · 2,539 citations
Deep Domain Confusion: Maximizing for Domain Invariance ↗arXiv (Cornell University) · no summary yetEric Tzeng et al.2014 · 2,210 citations
Curiosity-driven Exploration by Self-supervised Prediction ↗arXiv:1705.05363 · no summary yetDeepak Pathak et al.2017 · 1,820 citations
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
Deep Layer Aggregation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFisher Yu et al.2018 · 1,565 citations
The pyramid match kernel: discriminative classification with sets of image features ↗no summary yetKristen Grauman, Trevor Jackson Darrell2005 · 1,487 citations
End-to-End Training of Deep Visuomotor Policies ↗arXiv:1504.00702 · no summary yetSergey Levine et al.2015 · 1,463 citations
Sequence to Sequence — Video to Text ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetSubhashini Venugopalan et al.2015 · 1,441 citations
Part-Based R-CNNs for Fine-Grained Category Detection ↗Lecture notes in computer science · no summary yetNing Zhang et al.2014 · 1,168 citations
Simultaneous Deep Transfer Across Domains and Tasks ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetEric Tzeng et al.2015 · 1,152 citations
Neural Module NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2015 · 1,140 citations
Localizing Moments in Video with Natural Language ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetLisa Anne Hendricks et al.2017 · 1,095 citations
Rethinking the Value of Network Pruning ↗arXiv (Cornell University) · no summary yetZhuang Liu et al.2018 · 960 citations

See all 788 works by Trevor Jackson Darrell →

Co-authors here

12 of 18 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.

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) ×9: EMNLP 2018, 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 →.

Updated 30 October 2026

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🧑‍🔬 Trevor Jackson Darrell

🏛️ Affiliations

🧭 Fields, topics and concepts

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2020s

2010s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Trevor Jackson Darrell

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by