---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "IEEE Computer Society Conference on Computer Vision and Pattern Recognition: 23 works in the Elamur Research library (2013–2024), 80,983 citations; its…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / IEEE Computer Society Conference on Computer Vision and…

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Conference series Published by [Institute of Electrical and Electronics Engineers](https://md.research.elamur.ai/free/en/publishers/institute-of-electrical-and-electronics-engineers/)

- [OpenAlex](https://openalex.org/S4210176548)
- [ISSN 1063-6919](https://portal.issn.org/resource/ISSN/1063-6919)

[**23** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/#works) · [**80,983** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/#works) · [**5,800** citations in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/#works) · [**2013–2024** years of the works here](#years)

## Works by year

Works in our library by year 23 dated works from 2013 to 2024; the busiest year is 2023 with 8.

**The numbers**

| Year | Works |
| --- | --- |
| 2024 | 3 |
| 2023 | 8 |
| 2022 | 1 |
| 2019 | 3 |
| 2017 | 2 |
| 2016 | 1 |
| 2015 | 4 |
| 2013 | 1 |

## Top topics

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

[Vision & language (12)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining (8)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Computer Science (23)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (6)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering (2)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Ross Girshick**2 works here · 44,858 citations](https://md.research.elamur.ai/free/en/authors/ross-girshick/) · [🧑‍🔬**Trevor Darrell**2 works here · 32,790 citations](https://md.research.elamur.ai/free/en/authors/trevor-darrell/) · [🧑‍🔬**Saining Xie**2 works here · 13,440 citations](https://md.research.elamur.ai/free/en/authors/saining-xie/) · [🧑‍🔬**Zhuang Liu**2 works here · 1,240 citations](https://md.research.elamur.ai/free/en/authors/zhuang-liu/) · [🧑‍🔬**Zihan Wang**2 works here · 756 citations](https://md.research.elamur.ai/free/en/authors/zihan-wang/) · [🧑‍🔬**Jeff Donahue**1 work here · 31,715 citations](https://md.research.elamur.ai/free/en/authors/jeff-donahue/) · [🧑‍🔬**Kaiming He**1 work here · 13,143 citations](https://md.research.elamur.ai/free/en/authors/kaiming-he/) · [🧑‍🔬**Dmitry Kalenichenko**1 work here · 11,939 citations](https://md.research.elamur.ai/free/en/authors/dmitry-kalenichenko/) · [🧑‍🔬**Barret Zoph**1 work here · 6,518 citations](https://md.research.elamur.ai/free/en/authors/barret-zoph/) · [🧑‍🔬**Jonathon Shlens**1 work here · 6,518 citations](https://md.research.elamur.ai/free/en/authors/jonathon-shlens/) · [🧑‍🔬**Quoc V. Le**1 work here · 6,518 citations](https://md.research.elamur.ai/free/en/authors/quoc-v-le/) · [🧑‍🔬**Vijay Vasudevan**1 work here · 6,518 citations](https://md.research.elamur.ai/free/en/authors/vijay-vasudevan/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of California, Berkeley** Berkeley · United States 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google** Mountain View · United States 3 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Washington** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Nvidia (United Kingdom)** Reading · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🏢**Nvidia** Santa Clara · United States 2 works here](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Nanjing University** Nanjing · China 2 works here](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Stanford University** Stanford · United States 2 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Australian National University** Canberra · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/)

## Works in our library (23)

The most cited first (OpenAlex citations plus our library's).

1. [**Rich feature hierarchies for accurate object detection and semantic segmentation**Ross Girshick, Jeff Donahue, Trevor Darrell, et al.*2013 · 31,715 citations*](https://md.research.elamur.ai/free/en/papers/girshick-2013-rich-feature-hierarchies-accurate-object/)
2. [**Momentum Contrast for Unsupervised Visual Representation Learning**Kaiming He, Haoqi Fan, Yuxin Wu, et al.*2019 · 13,143 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-momentum-contrast-unsupervised-visual-representation/)
3. [**FaceNet: A Unified Embedding for Face Recognition and Clustering**Florian Schroff, Dmitry Kalenichenko, James Philbin*2015 · 11,939 citations*](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/)
4. [**Learning Transferable Architectures for Scalable Image Recognition**Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.*2017 · 6,518 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/)
5. [**Improved Baselines with Visual Instruction Tuning**Haotian Liu, Chunyuan Li, Yuheng Li, et al.*2023 · 2,557 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/)
6. [**Self-critical Sequence Training for Image Captioning**Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.*2016 · 2,367 citations*](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/)
7. [**GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering**Drew A. Hudson, Christopher D. Manning*2019 · 1,997 citations*](https://md.research.elamur.ai/free/en/papers/hudson-2019-gqa-new-dataset-real-world/)
8. [**Generation and Comprehension of Unambiguous Object Descriptions**Junhua Mao, Jonathan Huang, Alexander Toshev, et al.*2015 · 1,358 citations*](https://md.research.elamur.ai/free/en/papers/mao-2015-generation-comprehension-unambiguous-object-descriptions/)
9. [**Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments**Peter Anderson, Qi Wu, Damien Teney, et al.*2017 · 1,346 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/)
10. [**Neural Module Networks**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2015 · 1,075 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/)
11. [**MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI**Xiang Yue, Yuansheng Ni, Kai Zhang, et al.*2023 · 948 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/)
12. [**ImageBind: One Embedding Space To Bind Them All**Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.*2023 · 943 citations*](https://md.research.elamur.ai/free/en/papers/girdhar-2023-imagebind-one-embedding-space-bind/)
13. [**Visual7W: Grounded Question Answering in Images**Yuke Zhu, Oliver Groth, Michael Bernstein, et al.*2015 · 915 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/)
14. [**Reproducible scaling laws for contrastive language-image learning**Mehdi Cherti, Romain Beaumont, Ross Wightman, et al.*2022 · 750 citations*](https://md.research.elamur.ai/free/en/papers/cherti-2022-reproducible-scaling-laws-contrastive-language/)
15. [**ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks**Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox*2019 · 724 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/)
16. [**MVBench: A Comprehensive Multi-modal Video Understanding Benchmark**Kunchang Li, Yali Wang, Yinan He, et al.*2023 · 441 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-mvbench-comprehensive-multi-modal-video/)
17. [**Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis**Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al.*2024 · 403 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/)
18. [**VILA: On Pre-training for Visual Language Models**Ji Lin, Hongxu Yin, Wei Ping, et al.*2023 · 367 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/)
19. [**CogAgent: A Visual Language Model for GUI Agents**Wenyi Hong, Weihan Wang, Qingsong Lv, et al.*2023 · 353 citations*](https://md.research.elamur.ai/free/en/papers/hong-2023-cogagent-visual-language-model/)
20. [**HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models**Tianrui Guan, Fuxiao Liu, Xiyang Wu, et al.*2023 · 326 citations*](https://md.research.elamur.ai/free/en/papers/guan-2023-hallusionbench-advanced-diagnostic-suite-entangled/)
21. [**Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding**Sicong Leng, Hang Zhang, Guanzheng Chen, et al.*2023 · 317 citations*](https://md.research.elamur.ai/free/en/papers/leng-2023-mitigating-object-hallucinations-large-vision/)
22. [**Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs**Shengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.*2024 · 297 citations*](https://md.research.elamur.ai/free/en/papers/tong-2024-eyes-wide-shut-exploring-visual/)
23. [**Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 184 citations*](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.