FlowNet: Learning Optical Flow with Convolutional Networks

Dosovitskiy, Alexey, Fischer, Philipp, Ilg, Eddy, Hausser, Philip, Hazirbas, Caner, Golkov, Vladimir, Smagt, Patrick van der, Cremers, Daniel, Brox, Thomas·2015·2015 IEEE International Conference on Computer Vision (ICCV)

Cited by (1,007)

Items 301–400 of 1,007

  1. Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications
    Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, Sung Wook Baik · 2021 · Applied Soft Computing
  2. Next-generation deep learning based on simulators and synthetic data
    Celso M. de Melo, Antonio B. Torralba, Leonidas J. Guibas, James J. DiCarlo, Rama Chellappa, Jessica K. Hodgins · 2021 · Trends in Cognitive Sciences
  3. Motion2fusion
    Mingsong Dou, Philip Davidson, Sean Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, Shahram Izadi · 2017 · ACM Transactions on Graphics
  4. Spatio-Temporal Transformer Network for Video Restoration
    Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf · 2018 · Lecture notes in computer science
  5. MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution
    Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia · 2020 · Lecture notes in computer science
  6. Few-Shot Scene-Adaptive Anomaly Detection
    Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang · 2020 · Lecture notes in computer science
  7. Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
    Xianhang Cheng, Zhenzhong Chen · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  8. Unsupervised Learning of Stereo Matching
    Chao Zhou, Hong Zhang, Xiaoyong Shen, Jiaya Jia · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  9. Deep Video Frame Interpolation Using Cyclic Frame Generation
    Yu-Lun Liu, Yi-Tung Liao, Yen‐Yu Lin, Yung‐Yu Chuang · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  10. Deep Online Video Stabilization With Multi-Grid Warping Transformation Learning
    Miao Wang, Guo-Ye Yang, Jin-Kun Lin, Song–Hai Zhang, Ariel Shamir, Shao-Ping Lu, Shi‐Min Hu · 2018 · IEEE Transactions on Image Processing
  11. Understanding deformable alignment in video super-resolution
    Chan, Kelvin C.K., Wang, Xintao, Yu, Ke, Dong, Chao, Loy, Chen Change · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  12. When Deep Learning Meets Digital Image Correlation
    Seyfeddine Boukhtache, Kamel Abdelouahab, François Berry, Benoît Blaysat, Michel Grédiac, Frédéric Sur · 2020 · Optics and Lasers in Engineering
  13. TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
    Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  14. Continuous Sign Language Recognition with Correlation Network
    Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  15. Multi-view deep learning for consistent semantic mapping with RGB-D cameras
    Lingni Ma, Jörg Stückler, Christian Kerl, Daniel Cremers · 2017 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  16. DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
    Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih‐Fu Chang, Zhicheng Yan · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  17. Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks
    Qiuxia Lai, Wenguan Wang, Hanqiu Sun, Jianbing Shen · 2019 · IEEE Transactions on Image Processing
  18. Deep Learning for Micro-Expression Recognition: A Survey
    Yante Li, Jinsheng Wei, Yang Merik Liu, Janne Kauttonen, Guoying Zhao · 2022 · IEEE Transactions on Affective Computing
  19. DDP: Diffusion Model for Dense Visual Prediction
    Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lü, Zhenguo Li, Ping Luo · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  20. Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask
    Moacir Antonelli Ponti, Leonardo Sampaio Ferraz Ribeiro, Tiago Santana de Nazaré, Tu Bui, John P. Collomosse · 2017 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
  21. Attention-Driven Loss for Anomaly Detection in Video Surveillance
    Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
  22. Deep learning based point cloud registration: an overview
    Zhiyuan Zhang, Yuchao Dai, Jiadai Sun · 2020 · Virtual Reality & Intelligent Hardware
  23. Learning and Incorporating Shape Models for Semantic Segmentation
    Harsha Ravishankar, Rahul Venkataramani, Sheshadri R. Thiruvenkadam, P. Sudhakar, V. Vaidya · 2017 · Lecture notes in computer science
  24. WarpNet: Weakly Supervised Matching for Single-View Reconstruction
    Angjoo Kanazawa, David W. Jacobs, Manmohan Krishna Chandraker · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  25. PIV-DCNN: cascaded deep convolutional neural networks for particle image velocimetry
    Yong Lee, Hua Shu Yang, Zhouping Yin · 2017 · Experiments in Fluids
  26. SCNet: Learning Semantic Correspondence
    Kai Han, Rafael Sampaio de Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  27. A view-free image stitching network based on global homography
    Lang Nie, Chunyu Lin, Kang Liao, Meiqin Liu, Yao Zhao · 2020 · Journal of Visual Communication and Image Representation
  28. Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
    Zongxin Yang, Yunchao Wei, Yi Yang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  29. Occluded Video Instance Segmentation: A Benchmark
    Jiyang Qi, Yan Gao, Yao Guang Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip H. S. Torr, Song Bai · 2022 · International Journal of Computer Vision
  30. Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
    Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki · 2022 · Lecture notes in computer science
  31. Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks
    Xiaochun Luo, Heng Li, Dongping Cao, Yantao Yu, Xincong Yang, Ting Huang · 2018 · Automation in Construction
  32. Video Modeling With Correlation Networks
    Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  33. 3D freehand ultrasound without external tracking using deep learning
    Raphaël Prevost, Mehrdad Salehi, Simon Jagoda, Navneet Kumar, Julian Sprung, Alexander Ladikos, Robert Bauer, Oliver Zettinig, Wolfgang Wein · 2018 · Medical Image Analysis
  34. A survey of variational and CNN-based optical flow techniques
    Zhigang Tu, Wei Chau Xie, Dejun Zhang, Ronald W. Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan · 2018 · Signal Processing Image Communication
  35. Dual Discriminator Generative Adversarial Network for Video Anomaly Detection
    Fei Dong, Yu Zhang, Xiushan Nie · 2020 · IEEE Access
  36. Bilateral Grid Learning for Stereo Matching Networks
    Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  37. Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
    Samvit Jain, Xin Wang, Joseph E. Gonzalez · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  38. A Review of Video Object Detection: Datasets, Metrics and Methods
    Haidi Zhu, Haoran Wei, Baoqing Li, Xiaobing Yuan, Nasser Kehtarnavaz · 2020 · Applied Sciences
  39. MapNet: An Allocentric Spatial Memory for Mapping Environments
    João F. Henriques, Andrea Vedaldi · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  40. Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
    Junheum Park, Chul Lee, Chang‐Su Kim · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  41. Visual object tracking: A survey
    Fei Chen, Xiaodong Wang, Yunxiang Zhao, Shaohe Lv, Xin Niu · 2022 · Computer Vision and Image Understanding
  42. Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
    Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  43. MotionSqueeze: Neural Motion Feature Learning for Video Understanding
    Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho · 2020 · Lecture notes in computer science
  44. On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
    Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  45. MVSTER: Epipolar Transformer for Efficient Multi-view Stereo
    Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yijia He, Yijia He, Chi Xu, Xingang Wang · 2022 · Lecture notes in computer science
  46. Segmentation-Aware Convolutional Networks Using Local Attention Masks
    Harley, Adam W., Derpanis, Konstantinos G., Kokkinos, Iasonas · 2017 · 2017 IEEE International Conference on Computer Vision (ICCV)
  47. Photorealistic Image Synthesis for Object Instance Detection
    Tomáš Hodaň, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian K. Guenter · 2019 · Proceedings - International Conference on Image Processing
  48. Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network
    Han Zhang, Weiping Ni, Weidong Yan, Deliang Xiang, Junzheng Wu, Xiaoliang Yang, Bian Hui · 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  49. Fast Video Object Segmentation Using the Global Context Module
    Yu Li, Zhuoran Shen, Ying Shan · 2020 · Lecture notes in computer science
  50. Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection
    Hongsong Wang, Liang Wang · 2018 · IEEE Transactions on Image Processing
  51. Motion Feature Network: Fixed Motion Filter for Action Recognition
    Myunggi Lee, Seungeui Lee, SungJoon Son, Gyutae Park, Nojun Kwak · 2018 · Lecture notes in computer science
  52. Deep recurrent optical flow learning for particle image velocimetry data
    Christian Lagemann, Kai Lagemann, Sach Mukherjee, Wolfgang Schröder · 2021 · Nature Machine Intelligence
  53. Multi-view stereo in the Deep Learning Era: A comprehensive review
    Xiang Wang, Chen Wang, Bing Liu, Xiaoqing Zhou, Liang Zhang, Jin Yan Zheng, Xiao Ping Bai · 2021 · Displays
  54. SDC-Net: Video Prediction Using Spatially-Displaced Convolution
    Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert M. Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro · 2018 · Lecture notes in computer science
  55. A survey on face data augmentation for the training of deep neural networks
    Wang, Xiang, Wang, Kai, Lian, Shiguo · 2020 · Neural Computing and Applications
  56. Video Frame Interpolation via Deformable Separable Convolution
    Xianhang Cheng, Zhenzhong Chen · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  57. Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
    Yiwei Lu, K. M. Anil Kumar, Seyed shahabeddin Nabavi, Yang Wang · 2019 · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
  58. MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
    Faranak Shamsafar, Samuel Woerz, Rafia Rahim, Andreas Zell · 2022 · IEEE Winter Conference on Applications of Computer Vision
  59. Multi-Object Tracking Meets Moving UAV
    Shuai Liu, Xin Li, Huchuan Lu, You He · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  60. Learning for Video Compression
    Zhibo Chen, Tianyu He, Xin Jin, Feng Wu · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
  61. A Transductive Approach for Video Object Segmentation
    Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Ching-Feng Lin · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  62. Normality Learning in Multispace for Video Anomaly Detection
    Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
  63. LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method
    Hudson M. S. Bruno, Esther Luna Colombini · 2021 · Neurocomputing
  64. Tracking Everything Everywhere All at Once
    Qianqian Wang, Yen‐Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  65. Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
    Andrew P. Aitken, Christian Ledig, Lucas Theis, José Caballero, Zehan Wang, Wenzhe Shi · 2017 · arXiv (Cornell University)
  66. milliEgo
    Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalıoğlu, Pedro Porto Buarque de Gusmão, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham · 2020 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
  67. End-to-End Training of Hybrid CNN-CRF Models for Stereo
    Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  68. Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
    Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu‐Wing Tai · 2020 · Lecture notes in computer science
  69. Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks
    Xiaodan Sui, Yuanjie Zheng, Benzheng Wei, Hongsheng Bi, Jianfeng Wu, Xuemei Pan, Yilong Yin, Shaoting Zhang · 2017 · Neurocomputing
  70. Motion Deblurring in the Wild
    Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro · 2017 · Lecture notes in computer science
  71. MVDepthNet: Real-Time Multiview Depth Estimation Neural Network
    Kaixuan Wang, Shaojie Shen · 2018 · International Conference on 3D Vision (3DV)
  72. Style-Based Global Appearance Flow for Virtual Try-On
    Sen He, Yi-Zhe Song, Tao Xiang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  73. Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
    Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  74. Dynamic Video Segmentation Network
    Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun‐Yi Lee · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  75. DeepV2D: Video to Depth with Differentiable Structure from Motion
    Zachary Teed, Jia Deng · 2018 · arXiv (Cornell University)
  76. se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
    Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas E. Bekris · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  77. Connectome-constrained networks predict neural activity across the fly visual system
    Lappalainen, Janne K., Tschopp, Fabian D., Prakhya, Sridhama, McGill, Mason, Nern, Aljoscha, Shinomiya, Kazunori, Takemura, Shin-ya, Gruntman, Eyal, Macke, Jakob H., Turaga, Srinivas C. · 2024 · Nature
  78. Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
    Spyros Gidaris, Nikos Komodakis · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  79. Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution
    Peng Yi, Zhongyuan Wang, Kui Jiang, Zhenfeng Shao, Jiayi Ma · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
  80. Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution
    Gyumin Shim, Jinsun Park, In So Kweon · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  81. Object Detection Using Deep Learning Methods in Traffic Scenarios
    Azzedine Boukerche, Zhijun Hou · 2021 · ACM Computing Surveys
  82. MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
    Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  83. Future Frame Prediction Network for Video Anomaly Detection
    Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  84. ALIGNet
    R. Hanocka, N. Fish, Zhenhua Wang, R. Giryes, S. Fleishman, D. Cohen-Or · 2018 · ACM Transactions on Graphics
  85. Fast Predictive Image Registration
    Yang, Xiao, Kwitt, Roland, Niethammer, Marc · 2016 · Lecture Notes in Computer Science
  86. Deep Monocular Depth Estimation via Integration of Global and Local Predictions
    Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn · 2018 · IEEE Transactions on Image Processing
  87. Deep Integration: A Multi-Label Architecture for Road Scene Recognition
    Long Fei Chen, Wujing Zhan, Wei Tian, Yuhang He, Qin Zou · 2019 · IEEE Transactions on Image Processing
  88. SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
    Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  89. Learning From Synthetic Animals
    Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan Yuille · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  90. Residual spatiotemporal autoencoder for unsupervised video anomaly detection
    K. Deepak, S. Chandrakala, Chalavadi Krishna Mohan · 2020 · Signal Image and Video Processing
  91. FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
    Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon Chong Wee See, Hongwei Qin, Jifeng Dai, Hongsheng Li · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  92. Learning Single Camera Depth Estimation Using Dual-Pixels
    Rahul Dev Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  93. Deep Rigid Instance Scene Flow
    Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  94. Self-supervised Learning of Motion Capture
    Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki · 2017 · arXiv (Cornell University)
  95. Distilling Knowledge From a Deep Pose Regressor Network
    Muhamad Risqi U. Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalıoğlu, Andrew Markham, Niki Trigoni · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  96. RAFT-3D: Scene Flow using Rigid-Motion Embeddings
    Zachary Teed, Jia Deng · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  97. Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning
    Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  98. A Survey of Synthetic Data Augmentation Methods in Machine Vision
    Alhassan Mumuni, Fuseini Mumuni, Nana Kobina Gerrar · 2024 · Machine Intelligence Research
  99. Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training
    Yuan Yuan, Wei Su, Dandan Ma · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  100. Improving Deep Video Compression by Resolution-Adaptive Flow Coding
    Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Sheng Lu, Wanli Ouyang, Shuhang Gu · 2020 · Lecture notes in computer science