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Vidal, Rene

  1. Temporal Convolutional Networks for Action Segmentation and Detection
    2016/11/16 by Colin Lea, Lea, Colin, M. D. Flynn +7 · 52 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Surveillance and Tracking Methods
  2. Mathematics of Deep Learning
    2017/12/13 by René Vidal, Rene Vidal, Vidal, Rene +6 · 1 voice · 4 citations
    Computer Science · Engineering · #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #cs.CV #cs.LG
  3. Temporal Convolutional Networks: A Unified Approach to Action Segmentation
    2016/08/29 by Lea, Colin, Vidal, Rene, Reiter, Austin +1 · 27 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Sparse Subspace Clustering: Algorithm, Theory, and Applications
    2012/03/05 by Elhamifar, Ehsan, Vidal, Rene · 14 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Information Retrieval (cs.IR) #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  5. Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
    2016/02/09 by Colin Lea, Lea, Colin, Austin Reiter +5 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Robotics (cs.RO)
  6. Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
    2015/07/05 by You, Chong, Robinson, Daniel P., Vidal, Rene · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Curriculum Dropout
    2017/03/18 by Pietro Morerio, Jacopo Cavazza, Morerio, Pietro +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning
  8. Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
    2016/05/09 by You, Chong, Li, Chun-Guang, Robinson, Daniel P. +1 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. On the Implicit Bias of Dropout
    2018/06/26 by Mianjy, Poorya, Arora, Raman, Vidal, Rene · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Nonconvex Robust Low-rank Matrix Recovery
    2018/09/24 by Li, Xiao, Zhu, Zhihui, So, Anthony Man-Cho +1 · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  11. Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
    2020/06/07 by Chong You, Chi Li, You, Chong +5 · 2 citations
    Computer Science · #Face and Expression Recognition #Machine Learning and Data Classification #Image Retrieval and Classification Techniques
  12. Dropout as a Low-Rank Regularizer for Matrix Factorization
    2017/10/13 by Jacopo Cavazza, Cavazza, Jacopo, Pietro Morerio +9 · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
  13. Semantic-aware Video Representation for Few-shot Action Recognition
    2023/11/10 by Tang, Yutao, Bejar, Benjamin, Vidal, Rene · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  14. Is an Affine Constraint Needed for Affine Subspace Clustering?
    2020/05/08 by You, Chong, Li, Chun-Guang, Robinson, Daniel P. +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images
    2018/05/08 by Siddharth Mahendran, Mahendran, Siddharth, Haider Ali +3 · 2 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Robotics and Sensor-Based Localization #Anatomy and Medical Technology
  16. Recommendation with Generative Models
    2024/09/18 by Deldjoo, Yashar, He, Zhankui, McAuley, Julian +8 · 2 citations
    #Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  17. Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications
    2017/08/25 by Haeffele, Benjamin D., Vidal, Rene · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  18. Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
    2025/03/10 by Xu, Ziqing, Min, Hancheng, MacDonald, Lachlan Ewen +4 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
    2025/05/16 by Ziqing Xu, Hancheng Min, Xu, Ziqing +7 · 3 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning