--- title: "Priya Goyal · University of Utah — author profile and papers" description: "Priya Goyal, University of Utah: 2 papers on Elamur Research (2017–2018), h-index 12 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/priya-goyal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/priya-goyal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Priya Goyal # Priya Goyal Priya Goyal has 2 papers in our library, in 2017–2018; often with [Kaiming He](https://md.research.elamur.ai/free/en/authors/kaiming-he/), [Piotr Dollár](https://md.research.elamur.ai/free/en/authors/piotr-dollar/), [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/). 2 papers in our library · 2017–2018 [OpenAlex](https://openalex.org/A5035445731) · [ORCID](https://orcid.org/0009-0009-3125-9123) · [Wikidata](https://www.wikidata.org/wiki/Q131118671) · [**h-index 12**](https://openalex.org/authors/A5035445731) · [13 works](https://openalex.org/works?filter=author.id:A5035445731) · [42,803 citations](https://openalex.org/works?filter=author.id:A5035445731&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/priya-goyal/#papers) · [🔗 Cited 1,346 times in our library](https://md.research.elamur.ai/free/en/authors/priya-goyal/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1442](https://md.research.elamur.ai/free/en/paper-stars/page/15/#star-1442) 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=Priya+Goyal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Priya+Goyal) · [dblp](https://dblp.org/search?q=Priya+Goyal) · [ACL Anthology](https://aclanthology.org/search/?q=Priya+Goyal) ## Affiliations [🎓**University of Utah** Salt Lake City · United States 2023 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-utah/) · [🏢**Meta** Menlo Park · United States 2017–2022 · 8 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](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/) ## Works by year ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/priya-goyal/year/2018/) · [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/priya-goyal/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[Focal Loss for Dense Object Detection](https://md.research.elamur.ai/free/en/papers/lin-2017-focal-loss-dense-object-detection/)** *(2017 · 1,995 citations)* Dense one-stage object detectors score a regular grid of candidate boxes in a single pass. They are simpler and faster than two-stage systems such as Faster R-CNN, which first narrow the image down to a small set of proposals, but they have been less accurate. 2. **[Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions](https://md.research.elamur.ai/free/en/papers/vasilache-2018-tensor-comprehensions-framework-agnostic-high/)** *(2018 · 323 citations)* Deep learning frameworks such as TensorFlow, PyTorch and Caffe2 mostly hand computation off to vendor libraries like CUDNN and CUBLAS. ## All works 4 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. **[Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour ↗](https://arxiv.org/abs/1706.02677) arXiv:1706.02677 · no summary yet**Priya Goyal et al.*2017 · 2,756 citations* 2. [**Focal Loss for Dense Object Detection arXiv:1708.02002**Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.*2017 · 1,995 citations*](https://md.research.elamur.ai/free/en/papers/lin-2017-focal-loss-dense-object-detection/) 3. **[Scaling and Benchmarking Self-Supervised Visual Representation Learning ↗](https://doi.org/10.1109/iccv.2019.00649) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Priya Goyal et al.*2019 · 355 citations* 4. [**Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions arXiv:1802.04730**Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.*2018 · 323 citations*](https://md.research.elamur.ai/free/en/papers/vasilache-2018-tensor-comprehensions-framework-agnostic-high/) ## Co-authors here 4 co-authors with a page, the most papers together first. - [Kaiming He](https://md.research.elamur.ai/free/en/authors/kaiming-he/) - [Piotr Dollár](https://md.research.elamur.ai/free/en/authors/piotr-dollar/) - [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/) - [Tsung-Yi Lin](https://md.research.elamur.ai/free/en/authors/tsung-yi-lin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 1,346 times (of the 149,439 papers whose bibliographies we read); [138 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/priya-goyal/cited-by/). Updated 2 November 2026