STCN: Stochastic Temporal Convolutional Networks

18 February 2019

Otmar Hilliges

Papers citing "STCN: Stochastic Temporal Convolutional Networks"

32 / 32 papers shown

Title
FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator Huynh Tong Dang Khoa Dang Hoai Nam Vo Nguyen Le Duy 8 0 0 28 Aug 2025
Zero-Shot Styled Text Image Generation, but Make It Autoregressive Vittorio Pippi Fabio Quattrini S. Cascianelli Alessio Tonioni Rita Cucchiara 160 4 0 21 Mar 2025
Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting Yuansan Liu S. Wijewickrema Dongting Hu C. Bester Stephen O'Leary James Bailey MedIm DiffM 181 1 0 05 Jun 2024
VATr++: Choose Your Words Wisely for Handwritten Text Generation Bram Vanherle Vittorio Pippi S. Cascianelli Nick Michiels F. Reeth Rita Cucchiara 68 9 0 16 Feb 2024
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 152 10 0 18 Dec 2023
A spatio-temporal network for video semantic segmentation in surgical videos M. Grammatikopoulou Ricardo Sánchez-Matilla Felix J. S. Bragman David Owen Lucy H Culshaw K. Kerr Danail Stoyanov Imanol Luengo 106 21 0 19 Jun 2023
Graph Neural Processes for Spatio-Temporal Extrapolation Junfeng Hu Yuxuan Liang Zhencheng Fan Hongyang Chen Yu Zheng Roger Zimmermann BDL 126 19 0 30 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 97 4 0 25 May 2023
Handwritten Text Generation from Visual Archetypes Vittorio Pippi S. Cascianelli Rita Cucchiara 101 30 0 27 Mar 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers Yuxuan Liang Yutong Xia Songyu Ke Yiwei Wang Qingsong Wen Junbo Zhang Yu Zheng Roger Zimmermann AI4TS AI4CE 115 144 0 29 Nov 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 194 264 0 11 Aug 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 402 404 0 21 May 2022
Diverse Video Generation from a Single Video Niv Haim Ben Feinstein Niv Granot Assaf Shocher Shai Bagon Tali Dekel Michal Irani VGen DiffM 75 2 0 11 May 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space Emre Aksan Shugao Ma Akin Caliskan Stanislav Pidhorskyi Alexander Richard S. Wei Jason M. Saragih Otmar Hilliges 3DH 69 1 0 15 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin Lars Maaløe Christian Igel BDL AI4TS SSL 147 12 0 01 Mar 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 121 3 0 22 Feb 2022
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data M. E. Akbiyik Mert Erkul Killian Kaempf V. Vasiliauskaite Nino Antulov-Fantulin OOD 108 10 0 27 Oct 2021
Diverse Generation from a Single Video Made Possible Niv Haim Ben Feinstein Niv Granot Assaf Shocher Shai Bagon Tali Dekel Michal Irani DiffM VGen 153 19 0 17 Sep 2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 172 58 0 23 Jun 2021
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators A. Mattick Martin Mayr Mathias Seuret Andreas Maier Vincent Christlein 83 21 0 21 May 2021
Learning deep autoregressive models for hierarchical data Carl R. Andersson Niklas Wahlström Thomas B. Schon BDL 126 3 0 28 Apr 2021
Handwriting TransformersIEEE International Conference on Computer Vision (ICCV), 2023 A. Bhunia Salman Khan Hisham Cholakkal Rao Muhammad Anwer Fahad Shahbaz Khan M. Shah ViT 92 51 0 08 Apr 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 159 8 0 12 Mar 2021
Convolutional Autoencoders for Human Motion InfillingInternational Conference on 3D Vision (3DV), 2025 Manuel Kaufmann Emre Aksan Mingli Song Fabrizio Pece R. Ziegler Otmar Hilliges 3DH 86 111 0 22 Oct 2020
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection Sagar Verma Nicolas Henwood M. Castella F. Malrait J. Pesquet AI4CE 55 13 0 08 Oct 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 245 242 0 28 Aug 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 160 50 0 27 Jul 2020
Spatio-Temporal Handwriting Imitation Martin Mayr M. Stumpf Anguelos Nicolaou Mathias Seuret Andreas Maier Vincent Christlein 100 13 0 24 Mar 2020
Temporally Folded Convolutional Neural Networks for Sequence Forecasting Matthias Weissenbacher AI4TS 84 0 0 10 Jan 2020
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 102 319 0 03 Dec 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 115 102 0 12 Mar 2019
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 138 4 0 04 Feb 2019