🧑‍🔬 Alan Yuille — all works

38 works · ← Alan Yuille

1. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetLiang-Chieh Chen et al.2017 · 22,608 citations
2. Progressive Neural Architecture Search ↗Lecture notes in computer science · no summary yetChenxi Liu et al.2018 · 2,023 citations
3. Attention to Scale: Scale-Aware Semantic Image 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 yetLiang-Chieh Chen et al.2016 · 1,419 citations
4. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
5. Improving Transferability of Adversarial Examples With Input Diversity ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 1,255 citations
6. Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation ↗arXiv:1901.02985 · no summary yetChenxi Liu et al.2019 · 1,094 citations
7. Feature Denoising for Improving Adversarial Robustness ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 915 citations
8. Multi-context Attention for Human Pose Estimation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiao Chu et al.2017 · 749 citations
9. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) ↗arXiv:1412.6632 · ICLR 2015 · no summary yetJunhua Mao et al.2014 · 715 citations
10. Masked Feature Prediction for Self-Supervised Visual Pre-Training ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChen Wei et al.2022 · 595 citations
11. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYingwei Li et al.2022 · 563 citations
12. Adversarial Examples Improve Image 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 yetCihang Xie et al.2020 · 506 citations
13. Towards unified depth and semantic prediction from a single image ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPeng Wang et al.2015 · 457 citations
14. An Approach to Pose-Based 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 yetChunyu Wang, Yizhou Wang, Alan Yuille2013 · 381 citations
15. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLiang-Chieh Chen et al.2016 · 380 citations
16. When Radiology Report Generation Meets Knowledge Graph ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYixiao Zhang et al.2020 · 361 citations
17. CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJie Liu et al.2023 · 337 citations
18. NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuan Gao et al.2019 · 288 citations
19. Joint Multi-person Pose Estimation and Semantic Part 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 yetFangting Xia et al.2017 · 226 citations
20. Snapshot Distillation: Teacher-Student Optimization in One Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChenglin Yang et al.2019 · 218 citations
21. Attention Correctness in Neural Image Captioning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenxi Liu et al.2017 · 218 citations
22. Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuyin Zhou et al.2019 · 185 citations
23. Robust Estimation of Nonrigid Transformation for Point Set Registration ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiayi Ma et al.2013 · 176 citations
24. Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenglin Yang et al.2019 · 143 citations
25. Sequential Modeling Enables Scalable Learning for Large Vision Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYutong Bai et al.2024 · 135 citations
26. Bottom-Up Segmentation for Top-Down Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSanja Fidler et al.2013 · 129 citations
27. Smooth Adversarial Training ↗arXiv (Cornell University) · no summary yetCihang Xie et al.2020 · 92 citations
28. PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference ResolutionHong Chen, Zhenhua Fan, Hao Lu, et al.English · 84 citations
29. Mining 3D Key-Pose-Motifs 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 yetChunyu Wang, Yizhou Wang, Alan Yuille2016 · 83 citations
30. Are Labels Necessary for Neural Architecture Search? ↗Lecture notes in computer science · no summary yetChenxi Liu et al.2020 · 71 citations
31. Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization ↗neural information processing systems · no summary yetQi Chen et al.2020 · 67 citations
32. Scene Graph Parsing as Dependency Parsing ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetYu-Siang Wang et al.2018 · 65 citations
33. Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFangting Xia et al.2016 · 56 citations
34. Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetRoozbeh Mottaghi et al.2015 · 24 citations
35. Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding ↗arXiv (Cornell University) · no summary yetRoozbeh Mottaghi et al.2014 · 1 citation
36. ADVM'21 ↗ACM International Conference on Multimedia (ACM MM) · no summary yetAishan Liu et al.2021
37. ラベルはニューラルアーキテクチャ探索に必要か?【JST・京大機械翻訳】 ↗Lecture notes in computer science · no summary yetLiu Chenxi et al.2020
38. 1Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding ↗no summary yetRoozbeh Mottaghi et al.2016

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/alan-yuille/works/