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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2024 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2024 is the 2024 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 2,721 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**2,721** papers in the proceedings](#all) · [**4** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2024/#works) · [**985** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[DETRs Beat YOLOs on Real-time Object Detection](https://doi.org/10.1109/cvpr52733.2024.01605)**Y. Zhao, Wenyu Lv, Shangliang Xu et al.*4,548 citations*
2. **[Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/)**Haotian Liu, Chunyuan Li, Yuheng Li et al.*1,637 citations · our summary*
3. **[Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data](https://doi.org/10.1109/cvpr52733.2024.00987)**Lihe Yang, Bingyi Kang, Zilong Huang et al.*1,230 citations*
4. **[4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://doi.org/10.1109/cvpr52733.2024.01920)**Guanjun Wu, Taoran Yi, Jiemin Fang et al.*806 citations*
5. **[YOLO-World: Real-Time Open-Vocabulary Object Detection](https://doi.org/10.1109/cvpr52733.2024.01599)**Tianheng Cheng, Lin Song, Yixiao Ge et al.*771 citations*
6. **[Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://doi.org/10.1109/cvpr52733.2024.02283)**Zhe Chen, Jiannan Wu, Wenhai Wang et al.*695 citations*
7. **[Rep ViT: Revisiting Mobile CNN From ViT Perspective](https://doi.org/10.1109/cvpr52733.2024.01506)**Ao Wang, Hui Chen, Zijia Lin et al.*669 citations*
8. **[Point Transformer V3: Simpler, Faster, Stronger](https://doi.org/10.1109/cvpr52733.2024.00463)**Xiaoyang Wu, Li Jiang, Peng‐Shuai Wang et al.*648 citations*
9. **[Rewrite the Stars](https://doi.org/10.1109/cvpr52733.2024.00544)**Xu Ma, Xiyang Dai, Yue Bai et al.*620 citations*
10. **[DUSt3R: Geometric 3D Vision Made Easy](https://doi.org/10.1109/cvpr52733.2024.01956)**Shuzhe Wang, Vincent Leroy, Yohann Cabon et al.*583 citations*

## All accepted papers (2,721)

The most cited first; 4 with our summary link to their page here, the others to the original.

1. **[DETRs Beat YOLOs on Real-time Object Detection](https://doi.org/10.1109/cvpr52733.2024.01605)**Y. Zhao, Wenyu Lv, Shangliang Xu et al.*4,548 citations*
2. **[Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/)**Haotian Liu, Chunyuan Li, Yuheng Li et al.*1,637 citations · our summary*
3. **[Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data](https://doi.org/10.1109/cvpr52733.2024.00987)**Lihe Yang, Bingyi Kang, Zilong Huang et al.*1,230 citations*
4. **[4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://doi.org/10.1109/cvpr52733.2024.01920)**Guanjun Wu, Taoran Yi, Jiemin Fang et al.*806 citations*
5. **[YOLO-World: Real-Time Open-Vocabulary Object Detection](https://doi.org/10.1109/cvpr52733.2024.01599)**Tianheng Cheng, Lin Song, Yixiao Ge et al.*771 citations*
6. **[Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://doi.org/10.1109/cvpr52733.2024.02283)**Zhe Chen, Jiannan Wu, Wenhai Wang et al.*695 citations*
7. **[Rep ViT: Revisiting Mobile CNN From ViT Perspective](https://doi.org/10.1109/cvpr52733.2024.01506)**Ao Wang, Hui Chen, Zijia Lin et al.*669 citations*
8. **[Point Transformer V3: Simpler, Faster, Stronger](https://doi.org/10.1109/cvpr52733.2024.00463)**Xiaoyang Wu, Li Jiang, Peng‐Shuai Wang et al.*648 citations*
9. **[Rewrite the Stars](https://doi.org/10.1109/cvpr52733.2024.00544)**Xu Ma, Xiyang Dai, Yue Bai et al.*620 citations*
10. **[DUSt3R: Geometric 3D Vision Made Easy](https://doi.org/10.1109/cvpr52733.2024.01956)**Shuzhe Wang, Vincent Leroy, Yohann Cabon et al.*583 citations*
11. **[Mip-Splatting: Alias-Free 3D Gaussian Splatting](https://doi.org/10.1109/cvpr52733.2024.01839)**Zehao Yu, Anpei Chen, Binbin Huang et al.*564 citations*
12. **[Poly Kernel Inception Network for Remote Sensing Detection](https://doi.org/10.1109/cvpr52733.2024.02617)**Xinhao Cai, Qiuxia Lai, Yuwei Wang et al.*548 citations*
13. **[EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation](https://doi.org/10.1109/cvpr52733.2024.01118)**Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu*524 citations*
14. **[SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering](https://doi.org/10.1109/cvpr52733.2024.00512)**Antoine Guédon, Vincent Lepetit*510 citations*
15. **[Gaussian Splatting SLAM](https://doi.org/10.1109/cvpr52733.2024.01708)**Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly et al.*493 citations*
16. **[Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering](https://doi.org/10.1109/cvpr52733.2024.01952)**Tao Lü, Mulin Yu, Linning Xu et al.*491 citations*
17. **[SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM](https://doi.org/10.1109/cvpr52733.2024.02018)**Nikhil Keetha, Jay Karhade, J. Krishna Murthy et al.*462 citations*
18. **[Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction](https://doi.org/10.1109/cvpr52733.2024.01922)**Ziyi Yang, Xinyu Gao, Wen Zhou et al.*452 citations*
19. **[LISA: Reasoning Segmentation via Large Language Model](https://doi.org/10.1109/cvpr52733.2024.00915)**Xin Lai, Zhuotao Tian, Yukang Chen et al.*437 citations*
20. **[InceptionNeXt: When Inception Meets ConvNeXt](https://doi.org/10.1109/cvpr52733.2024.00542)**Weihao Yu, Pan Zhou, Shuicheng Yan et al.*423 citations*
21. **[TransNeXt: Robust Foveal Visual Perception for Vision Transformers](https://doi.org/10.1109/cvpr52733.2024.01683)**Dai Shi*423 citations*
22. **[MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/)**Yue Xiang, Yuansheng Ni, Tianyu Zheng et al.*412 citations · our summary*
23. **[Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation](https://doi.org/10.1109/cvpr52733.2024.00907)**Bingxin Ke, Anton Obukhov, Shengyu Huang et al.*412 citations*
24. **[VBench: Comprehensive Benchmark Suite for Video Generative Models](https://doi.org/10.1109/cvpr52733.2024.02060)**Ziqi Huang, Yinan He, Jiashuo Yu et al.*393 citations*
25. **[GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://doi.org/10.1109/cvpr52733.2024.01853)**Chi Yan, Delin Qu, Dan Xu et al.*390 citations*

[See all 2,721 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2024/papers/)

## Papers with our summary in our library (4)

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

1. **[Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/) [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/)**Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al.*2024 · 404 citations*
2. **[Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-eyes-wide-shut-exploring-visual/) [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/)**Shengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.*2024 · 297 citations*
3. **[Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/) [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/)**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 184 citations*
4. **[Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation](https://md.research.elamur.ai/free/en/papers/wu-2024-janus-decoupling-visual-encoding/) [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/)**Chengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.*2024 · 100 citations*

## Top topics

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

[Vision & language (4)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Fields

[Computer Science (4)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/)

## Top authors

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

[🧑‍🔬**Chaoyou Fu**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/chaoyou-fu/) · [🧑‍🔬**Lei Li**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/lei-li/) · [🧑‍🔬**Mengdan Zhang**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/mengdan-zhang/) · [🧑‍🔬**Peixian Chen**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/peixian-chen/) · [🧑‍🔬**Renrui Zhang**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/renrui-zhang/) · [🧑‍🔬**Shuhuai Ren**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/) · [🧑‍🔬**Yanwei Li**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/yanwei-li/) · [🧑‍🔬**Yunhang Shen**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/yunhang-shen/) · [🧑‍🔬**Zihan Wang**1 work here · 404 citations](https://md.research.elamur.ai/free/en/authors/zihan-wang/) · [🧑‍🔬**Saining Xie**1 work here · 297 citations](https://md.research.elamur.ai/free/en/authors/saining-xie/) · [🧑‍🔬**Shengbang Tong**1 work here · 297 citations](https://md.research.elamur.ai/free/en/authors/shengbang-tong/) · [🧑‍🔬**Yann Lecun**1 work here · 297 citations](https://md.research.elamur.ai/free/en/authors/yann-lecun/)

## Top institutions

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

[🎓**University of Hong Kong** Pok Fu Lam · China 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Xiamen University** Xiamen · China 1 work here](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Peking University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Institute of Automation** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🏢**DeepSeek** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/companies/deepseek/) · [🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**East China Normal University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**Nanjing University** Nanjing · China 1 work here](https://md.research.elamur.ai/free/en/universities/nanjing-university/)

works and citations from OpenAlex and our library.

- [← previous IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/)
- [↑ back to 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/)