Unsupervised Learning of Visual Representations Using Videos

Cited by (1,002)

Items 301–400 of 1,002

1. Divide and Contrast: Self-supervised Learning from Uncurated Data
   Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
2. Representation Learning via Global Temporal Alignment and Cycle-Consistency
   Isma Hadji, Konstantinos G. Derpanis, Allan D. Jepson · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
3. Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
   Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio B. Torralba · 2018 · International Journal of Computer Vision
4. Unsupervised Learning From Video With Deep Neural Embeddings
   Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel L. K. Yamins · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
5. Self-Supervised Representation Learning for Ultrasound Video
   Jiao, Jianbo, Droste, Richard, Drukker, Lior, Papageorghiou, Aris T., Noble, J. Alison · 2020 · 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
6. Probabilistic Structural Latent Representation for Unsupervised Embedding
   Mang Ye, Jianbing Shen · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision
   Andrew Shin, Masato Ishii, Takuya Narihira · 2022 · International Journal of Computer Vision
8. Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
   Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Visual Forecasting by Imitating Dynamics in Natural Sequences
   Kuo-Hao Zeng, William B. Shen, De-An Huang, Min Sun, Juan Carlos Niebles · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
10. Partial Person Re-identification with Part-Part Correspondence Learning
    Tianyu He, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian‐Sheng Hua · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
11. SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
    Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler · 2021 · arXiv (Cornell University)
12. The Group Loss for Deep Metric Learning
    Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé · 2020 · Lecture notes in computer science
13. Time-Equivariant Contrastive Video Representation Learning
    Simon Jenni, Hailin Jin · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
14. Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications
    Zhen Yang, Ding Ming, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
15. Unsupervised Learning of Foreground Object Segmentation
    Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu · 2019 · International Journal of Computer Vision
16. Do Different Tracking Tasks Require Different Appearance Models?
    Zhongdao Wang, Hengshuang Zhao, Yali Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto · 2021 · Oxford University Research Archive (ORA) (University of Oxford)
17. Deep Metric Learning by Online Soft Mining and Class-Aware Attention
    Xinshao Wang, Hua Yang, Elyor Kodirov, Guosheng Hu, Neil M. Robertson · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
18. Vi²CLR: Video and Image for Visual Contrastive Learning of Representation
    Diba, Ali, Sharma, Vivek, Safdari, Reza, Lotfi, Dariush, Sarfraz, M. Saquib, Stiefelhagen, Rainer, Van Gool, Luc · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
19. Visual Permutation Learning
    Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Jay Gould · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
20. Rethinking deep active learning: Using unlabeled data at model training
    Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
21. An Improved Inter-Intra Contrastive Learning Framework on Self-Supervised Video Representation
    Tao, Li, Wang, Xueting, Yamasaki, Toshihiko · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
22. A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023
    Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam · 2024 · IET Information Security
23. Semi-Supervised Learning for Surface EMG-based Gesture Recognition
    Yu Du, Yongkang Wong, Wenguang Jin, Wentao Wei, Yu Hu, Mohan Kankanhalli, Weidong Geng · 2017 · International Joint Conference on Artificial Intelligence
24. An efficient human action recognition framework with pose-based spatiotemporal features
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25. TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
    Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier · 2022 · Findings of the Association for Computational Linguistics: NAACL
26. Self-Supervised Learning via Conditional Motion Propagation
    Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
27. Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
    Alexander Sax (Sasha), Bradley Emi, Amir Zamir, Leonidas J. Guibas, Silvio Savarese, Jitendra Malik · 2018 · arXiv (Cornell University)
28. A Framework for Learning Ante-hoc Explainable Models via Concepts
    Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth Nallure Balasubramanian · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
29. MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
    Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He · 2022 · Lecture notes in computer science
30. Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
    Liu-Lei Li, Tian-Fei Zhou, Wen-Guan Wang, Lu Yang, Jian-Wei Li, Yi Yang · 2022 · Computer Vision and Pattern Recognition
31. Attention Transfer from Web Images for Video Recognition
    Junnan Li, Yongkang Wong, Qi Zhao, Mohan Kankanhalli · 2017 · ACM International Conference on Multimedia (ACM MM)
32. Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis
    Isabel Funke, Alexander C. Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt · 2018 · Lecture notes in computer science
33. A Survey on Big Multimedia Data Processing and Management in Smart Cities
    Muhammad Usman, Mian Ahmad Jan, Xiangjian He, Jinjun Chen · 2019 · ACM Computing Surveys
34. Auxiliary Tasks Speed Up Learning PointGoal Navigation
    Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das · 2020 · arXiv (Cornell University)
35. Multi-Task Self-Supervised Learning for Disfluency Detection
    Shaolei Wang, Wangxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
36. Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification
    Jun Zhao, Xiaosong Zhou, Guohua Shi, Ning Xiao, Kai Song, Juanjuan Zhao, Rui Hao, Keqin Li · 2022 · Applied Intelligence
37. Learning Deep Features via Congenerous Cosine Loss for Person Recognition
    Yu Liu, Hongyang Li, Xiaogang Wang · 2017 · arXiv (Cornell University)
38. Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
    Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy · 2018 · arXiv (Cornell University)
39. ReSkin: versatile, replaceable, lasting tactile skins
    Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta · 2021 · arXiv (Cornell University)
40. AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
    Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Chuan Tian · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
41. Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis
    Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
42. Exploring simple triplet representation learning
    Zeyu Ren, Quan Lan, Yudong Zhang, Shuihua Wang · 2024 · Computational and Structural Biotechnology Journal
43. Self-Supervised Feature Augmentation for Large Image Object Detection
    Xingjia Pan, Fan Tang, Weiming Dong, Yang Gu, Zhichao Song, Yiping Meng, Pengfei Xu, Oliver Deußen, Changsheng Xu · 2020 · IEEE Transactions on Image Processing
44. S2SiamFC
    Chon Hou Sio, Yu-Jen Ma, Hong-Han Shuai, Jun-Cheng Chen, Wen-Huang Cheng · 2020 · ACM International Conference on Multimedia (ACM MM)
45. Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
    Simon Jenni, Hailin Jin, Paolo Favaro · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
46. Progressive Unsupervised Learning for Visual Object Tracking
    Qiangqiang Wu, Jia Wan, Antoni B. Chan · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
47. Video prediction by efficient transformers
    Xi Ye, Guillaume-Alexandre Bilodeau · 2022 · Image and Vision Computing
48. Are we done with object recognition? The iCub robot’s perspective
    Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale · 2018 · Robotics and Autonomous Systems
49. Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning
    Long Chen, Yuhang He · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
50. Self-Supervised Learning of Face Representations for Video Face Clustering
    Vivek Sharma, Makarand Tapaswi, Muhammad Saquib Sarfraz, Rainer Stiefelhagen · 2019 · International Conference on Automatic Face and Gesture Recognition
51. Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization
    Bruno Korbar, Du Tran, Lorenzo Torresani · 2018 · arXiv (Cornell University)
52. Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
    Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. End-to-End Illuminant Estimation Based on Deep Metric Learning
    Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
    Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Y. Goldberg · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
55. Unsupervised Deep Hyperspectral Video Target Tracking and High Spectral-Spatial-Temporal Resolution (H³) Benchmark Dataset
    Zhenqi Liu, Yanfei Zhong, Xinyu Wang, Meng Shu, Liangpei Zhang · 2021 · IEEE Transactions on Geoscience and Remote Sensing
56. Self-Supervised Video Representation Learning with Meta-Contrastive Network
    Yuanze Lin, Xun Guo, Yan Lu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
57. Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision
    Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin · 2022 · IEEE Transactions on Knowledge and Data Engineering
58. CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos
    Nikita Karaev, Yuri Makarov, Jian-Yuan Wang, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht · 2025 · IEEE International Conference on Computer Vision
59. Video Question Answering via Hierarchical Dual-Level Attention Network Learning
    Zhou Zhao, Jinghao Lin, Xinghua Jiang, Deng Cai, Xiaofei He, Yueting Zhuang · 2017 · ACM International Conference on Multimedia (ACM MM)
60. Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations
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61. Time-Contrastive Networks: Self-Supervised Learning from Video
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62. Masked Motion Encoding for Self-Supervised Video Representation Learning
    Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
63. MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence
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64. Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions
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65. Ensembles of Generative Adversarial Networks
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66. Colorization as a Proxy Task for Visual Understanding
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67. Learning From Noisy Large-Scale Datasets With Minimal Supervision
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68. Conditional Negative Sampling for Contrastive Learning of Visual Representations
    Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel L. K. Yamins, Noah D. Goodman · 2020 · arXiv (Cornell University)
69. Airport Detection Using End-to-End Convolutional Neural Network with Hard Example Mining
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70. SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control
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71. Self-Supervised Representation Learning via Neighborhood-Relational Encoding
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72. A supervised deep convolutional based bidirectional long short term memory video hashing for large scale video retrieval applications
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73. Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis
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74. BootsTAP: Bootstrapped Training for Tracking-Any-Point
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75. Masked Image Modeling: A Survey
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76. Content-Based Representations of Audio Using Siamese Neural Networks
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77. Multimodal Learning of Social Image Representation by Exploiting Social Relations
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78. Deep Adversarial Metric Learning
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79. Hardness-Aware Deep Metric Learning
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80. Clustering based Contrastive Learning for Improving Face Representations
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81. The Challenges of Continuous Self-Supervised Learning
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82. Learning by coincidence: Siamese networks and common variable learning
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83. Learning Instance Segmentation by Interaction
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84. Unsupervised Learning using Sequential Verification for Action Recognition.
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85. Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data
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86. Unsupervised Vehicle Re-identification Using Triplet Networks
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87. Hard sample mining makes person re-identification more efficient and accurate
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88. Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks
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89. End-to-End Learning of Visual Representations from Uncurated Instructional Videos
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90. Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound
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91. A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems
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92. LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading
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93. Efficient Similar Region Search with Deep Metric Learning
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94. What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
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95. Video Autoencoder: self-supervised disentanglement of static 3D structure and motion
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96. Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
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97. Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
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98. CompactNet: learning a compact space for face presentation attack detection
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99. Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition
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100. DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks
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