Unsupervised Learning of Visual Representations Using Videos

Cited by (1,002)

Items 601–700 of 1,002

1. Unsupervised representation learning by discovering reliable image relations
   Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer · 2020 · Pattern Recognition
2. A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot
   Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale · 2019 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
3. Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform
   Tariq Mohammad Arif · 2020 · Synthesis lectures on mechanical engineering
4. Towards a self-sufficient face verification system
   Eric López‐López, Carlos V. Regueiro, Xosé M. Pardo, Annalisa Franco, Alessandra Lumini · 2021 · Expert Systems with Applications
5. Bi-calibration Networks for Weakly-Supervised Video Representation Learning
   Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei · 2023 · International Journal of Computer Vision
6. Online Learning of Object Representations by Appearance Space Feature Alignment
   Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
7. Memory Warps for Learning Long-Term Online Video Representations
   Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Krishna Chandraker · 2018 · arXiv (Cornell University)
8. Efficient end-to-end learning for quantizable representations
   Yeonwoo Jeong, Hyun Oh Song · 2018 · arXiv (Cornell University)
9. MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence.
   Yasamin Jafarian, Yuan Yao, Hyun Soo Park · 2018 · arXiv (Cornell University)
10. Boosting Supervision with Self-Supervision for Few-shot Learning
    Jong-Chyi Su, Subhransu Maji, Bharath Hariharan · 2019 · arXiv (Cornell University)
11. Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
    Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind · 2019 · arXiv (Cornell University)
12. Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
    Zeming Li, Songtao Liu, Jian Sun · 2021 · arXiv (Cornell University)
13. Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
    Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin · 2021 · arXiv (Cornell University)
14. MoDist: Motion Distillation for Self-supervised Video Representation Learning.
    Fanyi Xiao, Joseph Tighe, Davide Modolo · 2021 · arXiv (Cornell University)
15. Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
    Ran Liu · 2021 · arXiv (Cornell University)
16. Environment Agnostic Representation for Visual Reinforcement learning
    Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dong-Bo Min · 2023 · IEEE International Conference on Computer Vision
17. Video and audio are images: A cross-modal mixer for original data on video–audio retrieval
    Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo · 2024 · Knowledge-Based Systems
18. Sparse Information Perception Network for Remote Sensing Cross-Modal Retrieval
    Pengxiang Ouyang, Qing Ma, Cong Bai · 2025 · IEEE Transactions on Geoscience and Remote Sensing
19. Towards Learning Semantic Audio Representations from Unlabeled Data
    Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, Channing Moore, Rif A. Saurous · 2017
20. The Instance-Aware Automatic Image Colorization Based on Deep Convolutional Neural Network
    Hui Li, Wei Zeng, Guorong Xiao, Huabin Wang · 2020 · Intelligent Automation & Soft Computing
21. Connecting the Dots in Self-Supervised Learning: A Brief Survey for Beginners
    Pengfei Fang, Xian Li, Yan Yang, Shuai Zhang, Qi-Yue Kang, Xiaofei Li, Zhenzhong Lan · 2022 · Journal of Computer Science and Technology
22. SSAT: Self-Supervised Associating Network for Multiobject Tracking
    Tae-Young Chung, Myeongah Cho, Hean-Sung Lee, Sangyoun Lee · 2022 · IEEE transactions on circuits and systems for video technology (Print)
23. Exploring Self-Supervised Learning for Multi-Modal Remote Sensing Pre-Training via Asymmetric Attention Fusion
    Guozheng Xu, Xue Jiang, Xiangtai Li, Ze Zhang, Xingzhao Liu · 2023 · Remote Sensing
24. EdgeNet: Deep metric learning for 3D shapes
    Mingjia Chen, Qian-Fang Zou, Changbo Wang, Ligang Liu · 2019 · Computer Aided Geometric Design
25. Visual Siamese Clustering for Cosmetic Product Recommendation
    Christopher J. Holder, Bogusław Obara, Stephen Ricketts · 2019 · Lecture notes in computer science
26. Detecting Social Signals in User-Shared Images for Connection Discovery Using Deep Learning
    Ming Cheung, James Pei Man She · 2019 · IEEE Transactions on Multimedia
27. Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion
    Jogendra Nath Kundu, M Rahul, Jay Patravali, R. Venkatesh Babu · 2020 · IEEE Winter Conference on Applications of Computer Vision
28. Unsupervised foveal vision neural architecture with top-down attention
    Ryan Burt, Nina Thigpen, Andreas Keil, José Carlos Príncipe · 2021 · Neural Networks
29. Instance Similarity Learning for Unsupervised Feature Representation
    Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
30. DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning
    Thanh Nguyen, Trung X. Pham, Chaoning Zhang, Tung M. Luu, Thang Vu, Chang D. Yoo · 2023 · IEEE Access
31. Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
    Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
32. A classified study on semantic analysis of video summarization
    Michael Moses Thiruthuvanathan, K. Balachandran · 2017 · International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)
33. Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
    Mirco Planamente, A. Bottino, Barbara Caputo B · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
34. Free-Form Image Inpainting via Contrastive Attention Network
    Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin K. Wei, Ran He · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
35. Temporal Generative Adversarial Nets.
    Masaki Saito, Eiichi Matsumoto · 2016 · arXiv (Cornell University)
36. Contextual Visual Similarity
    Wang, Xiaofang, Kris Kitani, Martial Hebert · 2016 · arXiv (Cornell University)
37. Learning Structured Semantic Embeddings for Visual Recognition
    Li Dong, Hsin-Ying Lee, Jia‐Bin Huang, Shengjin Wang, Ming–Hsuan Yang · 2017 · arXiv (Cornell University)
38. Order Matters: Shuffling Sequence Generation for Video Prediction
    Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan · 2019 · arXiv (Cornell University)
39. Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
    Aswin Sivaraman, Minje Kim · 2020 · arXiv (Cornell University)
40. 基于硫基相变材料的存内计算器件与集成芯片（特邀）
    许恺 Xu Kai, 贠亦婷 Yun Yiting, 张嘉欣 Zhang Jiaxin, 李想 Li Xiang, 王威权 Wang Weiquan, 魏茂良 Wei Maoliang, Kunhao Lei, Junying Li, Hongtao Lin · 2024 · Acta Optica Sinica
41. V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
    Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas · 2026 · Lecture notes in computer science
42. Self-supervised Segmentation by Grouping Optical-Flow
    Aravindh Mahendran, James Thewlis, Andrea Vedaldi · 2019 · Lecture notes in computer science
43. Feature Fusion and Adversary Occlusion Networks for Object Detection
    Guang Han, Wang Zhou, Ning Sun, Jixin Liu, Xiaofei Li · 2019 · IEEE Access
44. A Novel CNN Training Framework: Loss Transferring
    Cong Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
45. OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video
    Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou · 2020 · IEEE Transactions on Cognitive and Developmental Systems
46. DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations
    Himanshu Buckchash, Balasubramanian Raman · 2020 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
47. PFWNet: Pretraining neural network via feature jigsaw puzzle for weakly-supervised temporal action localization
    Binglu Wang, Yongqiang Zhao, Yani Zhang · 2021 · Neurocomputing
48. Multi-Head Deep Metric Learning Using Global and Local Representations
    Mohammad Kazem Ebrahimpour, Gang Qian, Allison Beach · 2022 · IEEE Winter Conference on Applications of Computer Vision
49. Understanding Unsupervised Deep Learning for Text Line Segmentation
    Ahmad Droby, Berat Kurar Barakat, Raid M. Saabni, Reem Alaasam, Boraq Madi, Jihad El‐Sana · 2022 · Applied Sciences
50. Long future frame prediction using optical flow‐informed deep neural networks for enhancement of robotic teleoperation in high latency environments
    Md Moniruzzaman, Alexander Rassau, Douglas Chai, Syed Mohammed Shamsul Islam · 2022 · Journal of Field Robotics
51. Video Face Clustering With Self-Supervised Representation Learning
    Vivek Sharma, Makarand Tapaswi, Muhammad Saquib Sarfraz, Rainer Stiefelhagen · 2019 · IEEE Transactions on Biometrics Behavior and Identity Science
52. Local Discriminant Training and Global Optimization for Convolutional Neural Network Based Handwritten Chinese Character Recognition
    Xiangsheng Zeng, Donglai Xiang, Liangrui Peng, Changsong Liu, Xiaoqing Ding · 2017 · IAPR International Conference on Document Analysis and Recognition (ICDAR)
53. Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
    Chin‐Chia Michael Yeh · 2018 · arXiv (Cornell University)
54. Surprising Effectiveness of Few-Image Unsupervised Feature Learning.
    Yuki M. Asano, Christian Rupprecht, Andrea Vedaldi · 2019 · arXiv (Cornell University)
55. A Style-Aware Content Loss for Real-time HD Style Transfer
    Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer · 2018 · arXiv (Cornell University)
56. Exploring hard joints mining via hourglass-based generative adversarial network for human pose estimation
    Aichun Zhu, Sai Zhang, Yaoying Huang, Fangqiang Hu, Ran Cui, Gang Hua · 2019 · AIP Advances
57. Self-supervised Representation Learning Using 360° Data
    Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan Kankanhalli · 2019 · ACM International Conference on Multimedia (ACM MM)
58. Self-supervised video representation learning by maximizing mutual information
    Fei Xue, Hongbing Ji, Wenbo Zhang, Yi Cao · 2020 · Signal Processing Image Communication
59. Uncertainty-aware Self-supervised 3D Data Association
    Jianren Wang, Siddharth Ancha, Yi‐Ting Chen, David Held · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
60. Contrastive Self-supervised Representation Learning Using Synthetic Data
    Dongyu She, Kun Xu · 2021 · Machine Intelligence Research
61. Underwater Depth Estimation for Spherical Images
    Jiadi Cui, Lei Jin, Haofei Kuang, Qingwen Xu, Sören Schwertfeger · 2021 · Journal of Robotics
62. Combining Self-supervised Learning and Active Learning for Disfluency Detection
    Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu · 2021 · ACM Transactions on Asian and Low-Resource Language Information Processing
63. A Novel Deep Embedding Network for Building Shape Recognition
    Shu Tian, Ye Zhang, Junping Zhang, Nan Su · 2017 · IEEE Geoscience and Remote Sensing Letters
64. Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
    Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno M. Vasconcelos · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. GIFSL - grafting based improved few-shot learning
    Pratik Mazumder, Pravendra Pratap Singh, Vinay P. Namboodiri · 2020 · Image and Vision Computing
66. Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
    Madan Ravi Ganesh, Jason J. Corso · 2020 · British Machine Vision Conference (BMVC)
67. Self-supervisory Signals for Object Discovery and Detection
    Etienne Pot, Alexander Toshev, Jana Košecká · 2018 · arXiv (Cornell University)
68. Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening
    Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott · 2018 · arXiv (Cornell University)
69. Self-Supervised Feature Learning by Learning to Spot Artifacts
    Simon Jenni, Paolo Favaro · 2018 · arXiv (Cornell University)
70. Learning Similarity Metrics for Numerical Simulations
    Georg Kohl, Kiwon Um, Nils Thuerey · 2020 · arXiv (Cornell University)
71. Are We Hungry for 3D LiDAR Data for Semantic Segmentation
    Biao Gao, Yancheng Pan, Chengkun Li, Sibo Geng, Huijing Zhao · 2020 · arXiv (Cornell University)
72. Meta-Learning to Improve Pre-Training
    Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew B. A. McDermott, David Duvenaud · 2021 · arXiv (Cornell University)
73. AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions
    Mengmeng Xu, Hongxiang Lv, Hai Zhu, Enlai Dong, Fei Qing Wu · 2025 · Sensors
74. Design of Network Cascade Structure for Image Super-Resolution
    Jianwei Zhang, Zhenxing Wang, Yuhui Zheng, Guoqing Zhang · 2021 · Journal of New Media
75. LumNet
    Prince U.C. Songwa, Aaqib Saeed, Sachin Bhardwaj, T.W. Kruisselbrink, Tanır Özçelebi · 2021 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
76. Unsupervised video-based action recognition using two-stream generative adversarial network
    Wei Yen Lin, Huanqiang Zeng, Jianqing Zhu, Chih‐Hsien Hsia, Junhui Hou, Kai‐Kuang Ma · 2023 · Neural Computing and Applications
77. AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-Guided Self-masking
    Yuheng Li, Tianyu Luan, Yizhou Wu, Shaoyan Pan, Yenho Chen, Xiaofeng Yang · 2024 · Lecture notes in computer science
78. Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets
    Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu · 2019 · IEEE Access
79. Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression
    Wenshan Wang, Aayush Ahuja, Yanfu Zhang, Rogerio Bonatti, Sebastian Scherer · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
80. Denoising Images with Varying Noises Using Autoencoders
    Snigdha Agarwal, Ayushi Agarwal, Maroti Deshmukh · 2020 · Communications in computer and information science
81. Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
    Qian Wang, Daniel Kurz · 2022 · IEEE Winter Conference on Applications of Computer Vision
82. Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise
    Anindya Sarkar, Anirban Sarkar, Vineeth Nallure Balasubramanian · 2022 · IEEE Winter Conference on Applications of Computer Vision
83. Confusion-Based Metric Learning for Regularizing Zero-Shot Image Retrieval and Clustering
    Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang A · 2022 · IEEE Transactions on Neural Networks and Learning Systems
84. fairDMS: Rapid Model Training by Data and Model Reuse
    Ahsan Zil E. Ali, Hemant Sharma, Rajkumar Kettimuthu, Péter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T Foster, Ryan Coffee, Jana B. Thayer, Zhengchun Liu · 2022 · IEEE International Conference on Cluster Computing (CLUSTER)
85. Masked Autoencoding Does Not Help Natural Language Supervision at Scale
    Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
86. Automatic classification of heart failure based on Cine-CMR images
    Yuan Xie, Hai Zhong, Jiaqi Wu, Wangyuan Zhao, Runping Hou, Lu Zhao, Xiaowei Xu, Min Zhang, Jun Zhao · 2023 · International Journal of Computer Assisted Radiology and Surgery
87. Spiking two-stream methods with unsupervised STDP-based learning for action recognition
    Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco · 2025 · Signal Processing Image Communication
88. Large Scale Novel Object Discovery in 3D
    Siddharth Srivastava, Gaurav Sharma, Brejesh Lall · 2018 · IEEE Winter Conference on Applications of Computer Vision
89. Unsupervised Feature Learning with Discriminative Encoder
    Gaurav Pandey, Ambedkar Dukkipati · 2017 · Proceedings
90. Learning Generator Networks for Dynamic Patterns
    Tian Han, Yang Lü, Jiawen Wu, Xianglei Xing, Ying Nian Wu · 2019 · IEEE Winter Conference on Applications of Computer Vision
91. An Unsupervised Framework for Online Spatiotemporal Detection of Activities of Daily Living by Hierarchical Activity Models
    Farhood Negin, François Brémond · 2019 · Sensors
92. Editable video creation based on embedded simulation engine and GAN
    Zheng Guan, Gangyi Ding · 2020 · Microprocessors and Microsystems
93. Representation learning from videos in-the-wild: An object-centric approach
    Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lučić · 2021 · IEEE Winter Conference on Applications of Computer Vision
94. Generative detect for occlusion object based on occlusion generation and feature completing
    Can Xu, Wenxi Lang, Rui Xin, Kaichen Mao, Haiyan Jiang · 2021 · Journal of Visual Communication and Image Representation
95. OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
    Chengkun Wang, Wenzhao Zheng, Zheng Hong Zhu, Jie Zhou, Jiwen Lu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
96. Deep embedding network for robust age estimation
    Yating He, Min Huang, Qinghai Miao, Haiyun Guo, Jinqiao Wang · 2017 · Proceedings - International Conference on Image Processing
97. Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects
    Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière · 2018 · Frontiers in Robotics and AI
98. Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images
    Hongkai Yu, Dazhou Guo, Zhipeng Yan, Wei Liu, Jeff P. Simmons, Craig Przybyla, Song Wang · 2018 · arXiv (Cornell University)
99. Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
    Caron, Mathilde, Piotr Bojanowski, Julien Mairal, Armand Joulin · 2019 · HAL
100. Self-supervised Representation Learning for Ultrasound Video
     Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, Julia Alison Noble · 2020 · arXiv (Cornell University)