Describing Textures in the Wild

Cited by (1,001)

Items 701–800 of 1,001

1. Discriminability-Driven Channel Selection for Out-of-Distribution Detection
   Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
2. Label Propagation for Zero-shot Classification with Vision-Language Models
   Vladan Stojnić, Yannis Kalantidis, Giorgos Tolias · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
3. Test-Time Linear Out-of-Distribution Detection
   Ke Fan, Tong Liu, Xingyu Qiu, Yikai Wang, Lian Huai, Zeyu Shangguan, Shuang Gou, Fengjian Liu, Yuqian Fu, Yanwei Fu et al. · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
4. Adapting Vision-Language Models via Learning to Inject Knowledge
   Shiyu Xuan, Ming Yang, Shiliang Steven Zhang · 2024 · IEEE Transactions on Image Processing
5. Finding environmental-friendly chemical synthesis with AI and high-throughput robotics
   Vu Van Hao, Khanh-Huyen Bui, Dang Dinh Dang Khoa, Manh Duong-Tuan, Dung D. Le, Tùng Nguyen-Dang · 2024 · Journal of Science Advanced Materials and Devices
6. Consistent prompt learning for vision-language models
   Yonggang Zhang, Xinmei Tian · 2025 · Knowledge-Based Systems
7. Retrieval-Enhanced Visual Prompt Learning for Few-Shot Classification
   Jintao Rong, Hao Chen, Linlin Ou, Tianxiao Chen, Xinyi Yu, Yifan Liu · 2026 · IEEE Transactions on Circuits and Systems for Video Technology
8. Fusing subcategory probabilities for texture classification
   Yang Song, Weidong Cai, Qing Li, Fan Zhang, Dagan D. Feng, Heng Huang · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Pixel-wise conditioned generative adversarial networks for image synthesis and completion
   Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso · 2020 · Neurocomputing
10. Crossmodal associations between visual textures and temperature concepts
    Francisco Barbosa Escobar, Carlos Velasco, D. V. Byrne, Q. Wang · 2022 · Quarterly Journal of Experimental Psychology
11. Heatmap-based Out-of-Distribution Detection
    Julia Hornauer, Vasileios Belagiannis · 2023 · IEEE Winter Conference on Applications of Computer Vision
12. ADMM-SRNet: Alternating Direction Method of Multipliers Based Sparse Representation Network for One-Class Classification
    Chien-Yu Chiou, Kuang-Ting Lee, Chun-Rong Huang, Pau‐Choo Chung · 2023 · IEEE Transactions on Image Processing
13. Representation Uncertainty in Self-Supervised Learning as Variational Inference
    Hiroki Nakamura, Masashi Okada, T. Taniguchi · 2022 · IEEE International Conference on Computer Vision
14. Image Texture, Texture Features, and Image Texture Classification and Segmentation
    Chih‐Cheng Hung, Enmin Song, Yihua Lan · 2019 · Springer eBooks
15. Modal features for image texture classification
    Thomas Lacombe, Hugues Favrelière, Maurice Pillet · 2020 · Pattern Recognition Letters
16. Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
    Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. Identifying Surface BRDF From a Single 4-D Light Field Image via Deep Neural Network
    Feng Lu, Lei He, Shaodi You, Xiaowu Chen, Zhixiang Hao · 2017 · IEEE Journal of Selected Topics in Signal Processing
18. Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
    Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal · 2020 · arXiv (Cornell University)
19. Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
    Nikita Dvornik, Cordelia Schmid, Julien Mairal · 2020 · arXiv (Cornell University)
20. Compressive Visual Representations
    Kuang-Huei Lee, Anurag Arnab, S. Guadarrama, J. Canny, Ian S. Fischer · 2021 · Neural Information Processing Systems
21. Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs
    Kaichao You, Yong Liu, Zhang, Ziyang, Jianmin Wang, Michael I. Jordan, Mingsheng Long · 2021 · arXiv (Cornell University)
22. OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
    Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
23. Object Description Using Visual and Tactile Data
    Peng Zhang, Maohui Zhou, Dongri Shan, Zhenxue Chen, Xiaofang Wang · 2022 · IEEE Access
24. Toward universal texture synthesis by combining texton broadcasting with noise injection in StyleGAN-2
    Jue Lin, Gaurav Sharma A, Thrasyvoulos N. Pappas · 2023 · e-Prime - Advances in Electrical Engineering Electronics and Energy
25. READ: Aggregating Reconstruction Error into Out-of-Distribution Detection
    Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
26. Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis
    Hao Chen, Weiwei Wan, Masaki Matsushita, Takeyuki Kotaka, Kensuke Harada · 2023 · IEEE Transactions on Automation Science and Engineering
27. Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
    Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
28. CAGEN: Controllable Anomaly Generator using Diffusion Model
    Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu‐Tao Xia · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
29. Multi-modal recursive prompt learning with mixup embedding for generalization recognition
    Yunpeng Jia, Xiufen Ye, Yusong Liu, Shuxiang Guo · 2024 · Knowledge-Based Systems
30. Meta-learning of feature distribution alignment for enhanced feature sharing
    Zhixiong Leng, Maofa Wang, Quan Wan, Yanlin Xu, Bingchen Yan, Shaohua Sun · 2024 · Knowledge-Based Systems
31. Cluster prototype earth mover’s distance adapters and alignment-guided prompt learning for vision–language models
    Mengping Dong, Fei Li, Zhenbo Li, Zhenbo Li · 2024 · Pattern Recognition
32. LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
    Jing Zhang, Irving Fang, Hao Wu, Akshat Kaushik, Alice Rodriguez, Hanwen Zhao, Juexiao Zhang, Zhuo Zheng, Раду Йовита, Chen Feng · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
33. Any-Shift Prompting for Generalization Over Distributions
    Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
34. Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
    Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov · 2024 · Lecture notes in computer science
35. BadMerging: Backdoor Attacks Against Model Merging
    Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian · 2024 · ACM SIGSAC Conference on Computer and Communications Security (CCS)
36. CTPT: Continual Test-time Prompt Tuning for vision-language models
    Fan Wang, Zhongyi Han, Xingbo Liu, Yilong Yin, Xin Gao · 2024 · Pattern Recognition
37. Context-aware prompt learning for test-time vision recognition with frozen vision-language model
    Junhui Yin, Xinyu Zhang, Lin Yuanbo Wu, Xiaojie Wang · 2025 · Pattern Recognition
38. Toward a Holistic Evaluation of Robustness in CLIP Models
    Weijie Tu, Weijian Deng, Tom Gedeon · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
39. Semantic object removal with convolutional neural network feature-based inpainting approach
    Xiuxia Cai, Bin Song · 2018 · Multimedia Systems
40. Texture classification using block intensity and gradient difference (BIGD) descriptor
    Yuting Hu, Zhen Wang, Ghassan AlRegib · 2020 · Signal Processing Image Communication
41. A joint guidance-enhanced perceptual encoder and atrous separable pyramid-convolutions for image inpainting
    Yongle Zhang, Yingyu Wang, Junyu Dong, Lin Qi, Hao Fan, Xinghui Dong, Muwei Jian, Hui Ling Yu · 2020 · Neurocomputing
42. Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
    Zhilin Zhao, Longbing Cao, Kun-Yu Lin · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
43. Two-Stream Multiplicative Heavy-Tail Noise Despeckling Network With Truncation Loss
    Li Xin Cheng, Zhichang Guo, Yao Li, Yuming Xing · 2023 · IEEE Transactions on Geoscience and Remote Sensing
44. ETran: Energy-Based Transferability Estimation
    Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
45. Pre-training Vision Transformers with Very Limited Synthesized Images
    Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez‐Noriega, Rio Yokota, Nakamasa Inoue · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
46. Bone texture characterization with fisher encoding of local descriptors
    Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, Dagan D. Feng · 2015 · IEEE International Symposium on Biomedical Imaging (ISBI)
47. Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
    Yinhao Ren, Bibo Shi, Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Shelley E. Hwang, Joseph Yuan-Chieh Lo · 2018 · SPIE Medical Imaging: Computer-Aided Diagnosis
48. Interactive volumetric segmentation for textile micro‐tomography data using wavelets and nonlocal means
    J. Michael L. MacNeil, Daniela Mayumi Ushizima, Francesco Panerai, Nagi N. Mansour, Harold S. Barnard, Dilworth Y. Parkinson · 2019 · Statistical Analysis and Data Mining The ASA Data Science Journal
49. Interpreting Intentionally Flawed Models with Linear Probes
    Mara Graziani, Henning Müller, Vincent Andrearczyk · 2019 · IEEE International Conference on Computer Vision Workshops
50. Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels
    Sergio R. Blanco, Dora B. Heras, Francisco Argüello · 2020 · Remote Sensing
51. Texture image classification based on a pseudo-parabolic diffusion model
    Jardel Vieira, Eduardo Cardoso de Abreu, João B. Florindo · 2022 · Multimedia Tools and Applications
52. Improve Unsupervised Pretraining for Few-label Transfer
    Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
53. LCCStyle: Arbitrary Style Transfer With Low Computational Complexity
    Yujie Huang, Minge Jing, Jinjia Zhou, Yuhao Liu, Yibo Fan · 2021 · IEEE Transactions on Multimedia
54. DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification
    Philomina Simon, V. Uma · 2022 · Computational Intelligence and Neuroscience
55. Efficient image-space extraction and representation of 3D surface topography
    Matthias Zeppelzauer, Markus Seidl · 2015 · Proceedings - International Conference on Image Processing
56. Deep Texture Exemplar Extraction Based on Trimmed T-CNN
    Huisi Wu, Wei Yan, Ping Li, Zhenkun Wen · 2020 · IEEE Transactions on Multimedia
57. Distance-Based Regularisation of Deep Networks for Fine-Tuning
    Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil · 2020 · arXiv (Cornell University)
58. Revisiting Contrastive Learning for Few-Shot Classification.
    Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto · 2021 · arXiv (Cornell University)
59. Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
    Aran Nayebi, Nathan C. L. Kong, Chengxu Zhuang, Justin L. Gardner, Anthony M. Norcia, Daniel L. K. Yamins · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
60. KAID: Knowledge-Aware Interactive Distillation for Vision-Language Models
    Da Zhang, Feiyu Wang, Bingyu Li, Zhiyuan Zhao, Junyu Gao, Xuelong Li · 2025 · ACM International Conference on Multimedia (ACM MM)
61. Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models
    Adrian Bulat, Georgios Tzimiropoulos · 2023 · International Journal of Computer Vision
62. A Retrospect to Multi-prompt Learning across Vision and Language
    Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
63. DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
    Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
64. Color-texture classification based on spatio-spectral complex network representations
    Lucas C. Ribas, Leonardo Felipe dos Santos Scabini, Rayner Harold Montes Condori, Odemir Martinez Bruno · 2024 · Physica A Statistical Mechanics and its Applications
65. Learning to Learn Better Visual Prompts
    Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
66. OOD Aware Supervised Contrastive Learning
    Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi · 2024 · IEEE Winter Conference on Applications of Computer Vision
67. Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects with Denoising Diffusion Probabilistic Models
    Radim Špetlík, Denys Rozumnyi, Jiřı́ Matas · 2024 · IEEE Winter Conference on Applications of Computer Vision
68. RefQSR: Reference-Based Quantization for Image Super-Resolution Networks
    Lee Hong-Jae, Jun-Sang Yoo, Seung‐Won Jung · 2024 · IEEE Transactions on Image Processing
69. PatchMix: patch-level mixup for data augmentation in convolutional neural networks
    Yichao Hong, Yuanyuan Chen · 2024 · Knowledge and Information Systems
70. SAM-I-Am: Semantic boosting for zero-shot atomic-scale electron micrograph segmentation
    Waqwoya Mesfin Abebe, J. Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari · 2024 · Computational Materials Science
71. ViC-MAE: Self-supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
    Jefferson Hernandez, Ruben Villegas, Vicente Ordóñez · 2024 · Lecture notes in computer science
72. Operational Open-Set Recognition and PostMax Refinement
    Steve Cruz, Ryan Rabinowitz, Manuel Günther, Terrance E. Boult · 2024 · Lecture notes in computer science
73. Cascade Prompt Learning for Vision-Language Model Adaptation
    Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Jun Yang, Xiang Li · 2024 · Lecture notes in computer science
74. Robust Calibration of Large Vision-Language Adapters
    Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, José Dolz · 2024 · Lecture notes in computer science
75. Textual Knowledge Matters: Cross-Modality Co-teaching for Generalized Visual Class Discovery
    Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong · 2024 · Lecture notes in computer science
76. Learning with Enriched Inductive Biases for Vision-Language Models
    Lingxiao Yang, Ru‐Yuan Zhang, Qi Chen, Xiaohua Xie · 2025 · International Journal of Computer Vision
77. Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
    Elaine Sui, Xiaohan Wang, Serena Y. Yeung · 2025 · IEEE Winter Conference on Applications of Computer Vision
78. A review of few-shot image classification: Approaches, datasets and research trends
    Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan · 2025 · Neurocomputing
79. Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
    Shihan Wu, Ji Zhang, Pengpeng Zeng, Lianli Gao, Jingkuan Song, Heng Tao Shen · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
80. TEX-Nets
    Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma T. Laaksonen · 2017 · International Conference on Multimedia Retrieval
81. Fusion of Convolutional Neural Network and Statistical Features for Texture classification
    Mourad Jbene, Ahmed Drissi El Maliani, Mohammed El Hassouni · 2019 · International Conference on Wireless Networks and Mobile Communications (WINCOM)
82. Fractal measures of image local features: an application to texture recognition
    Pedro Miguel Silva, João B. Florindo · 2021 · Multimedia Tools and Applications
83. Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
    Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
84. Deep Reconstruction of 3-D Human Poses From Video
    Jian Liu, Naveed Akhtar, Ajmal Saeed Mian · 2022 · IEEE Transactions on Artificial Intelligence
85. Variational Hyperparameter Inference for Few-Shot Learning Across Domains
    Lei Zhang A, Liyun Zuo, Baoyan Wang, Xin Li, Xiantong Zhen · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
86. Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
    Ashraful Islam, Bengt Lundell, H. Sawhney, Sudipta N. Sinha, Peter Morales, R. Radke · 2022 · IEEE Workshop/Winter Conference on Applications of Computer Vision
87. MÆIDM: multi-scale anomaly embedding inpainting and discrimination for surface anomaly detection
    Siyu Sheng, Junfeng Jing, Xin Tian Jiao, Yafei Wang, Zhenyu Dong · 2023 · Machine Vision and Applications
88. Guided Recommendation for Model Fine-Tuning
    Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
89. Learning to Name Classes for Vision and Language Models
    Sarah Parisot, Yongxin Yang, Steven McDonagh · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. Mutual-Taught Deep Clustering
    Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie · 2023 · Knowledge-Based Systems
91. High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
    Andrei-Timotei Ardelean, Tim Weyrich · 2024 · IEEE Winter Conference on Applications of Computer Vision
92. Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
    Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng‐Lin Liu · 2025 · IEEE Transactions on Neural Networks and Learning Systems
93. 4D imaging through spray-on optics
    Julian Iseringhausen, Bastian Goldlüecke, Nina Pesheva, Stanimir Dimitrov Iliev, Alexander Wender, Martin Fuchs, Matthias B. Hullin · 2017 · ACM Transactions on Graphics
94. Texture description using multi-scale morphological GLCM
    Mudassir Rafi, Susanta Mukhopadhyay · 2018 · Multimedia Tools and Applications
95. Multi-frame Super Resolution for Ocular Biometrics
    Narsi Reddy, Dewan Fahim Noor, Zhu Li B, Reza R. Derakhshani · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
96. Optimal visual search based on a model of target detectability in natural images
    Shima Rashidi, Krista A. Ehinger, Andrew H. Turpin, Lars Kulik · 2020 · neural information processing systems
97. Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss
    Zheng Zhou, Yue Wu, Xiaofei Yang, Yicong Zhou · 2022 · IEEE Signal Processing Letters
98. Towards Drug Counterfeit Detection Using Package Paperboard Classification
    Christof Kauba, Luca Debiasi, Rudolf Schraml, Andreas Uhl · 2016 · Lecture notes in computer science
99. Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning
    Linchao Zhu, Sercan Ö. Arık, Yi Yang, Tomas Pfister · 2020 · Lecture notes in computer science
100. Automated annotation of corals in natural scene images using multiple texture representations
     Jean-Nicola Blanchet, Sébastien Déry, Jacques-André Landry, Kate Osborne · 2016