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Chen Sun

Chen Sun has 2 papers in our library, in 2017–2019; often with Abhinav Gupta, Carl Vondrick, Kevin P. Murphy.

2 papers in our library · 2017–2019

OpenAlex · ORCID · h-index 40 · 159 works · 17,408 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 689 times in our library · 19 more in our library without a page yet · ⭐ Paper Stars ranking: #895

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 works

💡 Concepts 1Key ideas and methods explained on our concept pages.Semantics · 1 work

 Works by year

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era (2017 · 2,512 citations)
    Since AlexNet, vision models and GPU compute have grown rapidly, yet the largest labeled pre-training set in common use stayed at ImageNet's scale of about 1M images.
  2. VideoBERT: A Joint Model for Video and Language Representation Learning (2019 · 1,345 citations)
    Most self-supervised video methods learn low-level cues such as textures or motion lasting under a second.

All works

21 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. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors ↗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 Huang et al.2017 · 2,748 citations
  2. ViViT: A Video Vision Transformer ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAnurag Arnab et al.2021 · 2,738 citations
  3. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification ↗Lecture notes in computer science · no summary yetSaining Xie et al.2018 · 1,494 citations
  4. DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJunru Gu, Chen Sun, Hang Zhao2021 · 505 citations
  5. Composing Text and Image for Image Retrieval - an Empirical Odyssey ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetNam Vo et al.2019 · 417 citations
  6. Multiview Transformers for Video Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYan Shen et al.2022 · 304 citations
  7. Does Vision-and-Language Pretraining Improve Lexical Grounding? ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetTian Yun, Chen Sun, Ellie Pavlick2021 · 40 citations
  8. TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency ↗Lecture notes in computer science · no summary yetMedhini Narasimhan et al.2022 · 24 citations
  9. Speech2Action: Cross-Modal Supervision for Action Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetArsha Nagrani et al.2020 · 15 citations
  10. The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020) ↗arXiv (Cornell University) · no summary yetSamuel Albanie et al.2020 · 12 citations
  11. Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens ↗arXiv (Cornell University) · no summary yetLijie Fan et al.2024 · 10 citations
  12. Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? ↗arXiv (Cornell University) · no summary yetTian Yun et al.2022 · 7 citations
  13. LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory ↗Lecture notes in computer science · no summary yetJunyi Zhang et al.2026 · 6 citations
  14. Emergence of Abstract State Representations in Embodied Sequence Modeling ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetTian Yun et al.2023 · 5 citations
  15. Do Trajectories Encode Verb Meaning? ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetDylan Ebert, Chen Sun, Ellie Pavlick2022 · 5 citations
  16. Analyzing Modular Approaches for Visual Question Decomposition ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetApoorv Khandelwal, Ellie Pavlick, Chen Sun2023 · 4 citations
  17. Comparing Trajectory and Vision Modalities for Verb Representation ↗arXiv (Cornell University) · no summary yetDylan Ebert, Chen Sun, Ellie Pavlick2023 · 2 citations
  18. TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency ↗arXiv (Cornell University) · no summary yetMedhini Narasimhan et al.2022 · 1 citation
  19. What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models ↗Proceedings of the 29th Conference on Computational Natural Language Learning · no summary yetTian Yun, Chen Sun, Ellie Pavlick2025

 Co-authors here

3 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.

 Cited by

Papers of our library cite their works 689 times (of the 149,439 papers whose bibliographies we read); 65 citing papers with a page here →.

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