Alexander Richard

According to our database, Alexander Richard authored at least 42 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation.

Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann

CoRR, 2024

ScoreDec: A Phase-Preserving High-Fidelity Audio Codec with a Generalized Score-Based Diffusion Post-Filter.

Yi-Chiao Wu, Dejan Markovic, Steven Krenn, Israel D. Gebru, Alexander Richard

Proceedings of the IEEE International Conference on Acoustics, 2024

Modeling and Driving Human Body Soundfields Through Acoustic Primitives.

Chao Huang, Dejan Markovic, Chenliang Xu, Alexander Richard

Proceedings of the Computer Vision - ECCV 2024, 2024

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations.

Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark.

Ziyang Chen, Israel D. Gebru, Christian Richardt, Anurag Kumar, William Laney, Andrew Owens, Alexander Richard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio.

Xudong Xu, Dejan Markovic, Jacob Sandakly, Todd Keebler, Steven Krenn, Alexander Richard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatialization Quality Metric for Binaural Speech.

Pranay Manocha, Israel Dejene Gebru, Anurag Kumar, Dejan Markovic, Alexander Richard

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec.

Yi-Chiao Wu, Israel D. Gebru, Dejan Markovic, Alexander Richard

Proceedings of the IEEE International Conference on Acoustics, 2023

Nord: Non-Matching Reference Based Relative Depth Estimation from Binaural Speech.

Pranay Manocha, Israel D. Gebru, Anurag Kumar, Dejan Markovic, Alexander Richard

Proceedings of the IEEE International Conference on Acoustics, 2023

Novel-View Acoustic Synthesis.

Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multiface: A Dataset for Neural Face Rendering.

Cheng-hsin Wuu, Ningyuan Zheng, Scott Ardisson, Rohan Bali, Danielle Belko, Eric Brockmeyer, Lucas Evans, Timothy Godisart, Hyowon Ha, Alexander Hypes, Taylor Koska, Steven Krenn, Stephen Lombardi, Xiaomin Luo, Kevyn McPhail, Laura Millerschoen, Michal Perdoch, Mark Pitts, Alexander Richard, Jason M. Saragih, Junko Saragih, Takaaki Shiratori, Tomas Simon, Matt Stewart, Autumn Trimble, Xinshuo Weng, David Whitewolf, Chenglei Wu, Shoou-I Yu, Yaser Sheikh

CoRR, 2022

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain.

Dejan Markovic, Alexandre Défossez, Alexander Richard

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

End-to-End Binaural Speech Synthesis.

Wen-Chin Huang, Dejan Markovic, Alexander Richard, Israel Dejene Gebru, Anjali Menon

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Deep Impulse Responses: Estimating and Parameterizing Filters with Deep Networks.

Alexander Richard, Peter Sheridan Dodds, Vamsi Krishna Ithapu

Proceedings of the IEEE International Conference on Acoustics, 2022

Conditional Diffusion Probabilistic Model for Speech Enhancement.

Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao

Proceedings of the IEEE International Conference on Acoustics, 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, Shih-En Wei, Jason M. Saragih, Otmar Hilliges

Proceedings of the Computer Vision - ECCV 2022, 2022

Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis.

Karren Yang, Dejan Markovic, Steven Krenn, Vasu Agrawal, Alexander Richard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Audio- and Gaze-driven Facial Animation of Codec Avatars.

Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Neural Synthesis of Binaural Speech From Mono Audio.

Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh

Proceedings of the 9th International Conference on Learning Representations, 2021

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement.

Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Implicit HRTF Modeling Using Temporal Convolutional Networks.

Israel D. Gebru, Dejan Markovic, Alexander Richard, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh

Proceedings of the IEEE International Conference on Acoustics, 2021

Basic Distributed Algorithms Visual Simulations for Distributed Systems Students.

Alexander Richard, Jesse Francis, Jalal Kawash

Proceedings of the IEEE Global Engineering Education Conference, 2021

2020

A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation.

Hilde Kuehne, Alexander Richard, Juergen Gall

IEEE Trans. Pattern Anal. Mach. Intell., 2020

On Evaluating Weakly Supervised Action Segmentation Methods.

Yaser Souri, Alexander Richard, Luca Minciullo, Juergen Gall

CoRR, 2020

2019

Temporal Segmentation of Human Actions in Videos

Alexander Richard

PhD thesis, 2019

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data.

Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall

CoRR, 2019

Enhancing Temporal Action Localization with Transfer Learning from Action Recognition.

Ahsan Iqbal, Alexander Richard, Juergen Gall

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Two Stream 3D Semantic Scene Completion.

Martin Garbade, Johann Sawatzky, Alexander Richard, Juergen Gall

CoRR, 2018

NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning.

Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints.

Alexander Richard, Hilde Kuehne, Juergen Gall

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

When Will You Do What? - Anticipating Temporal Occurrences of Activities.

Yazan Abu Farha, Alexander Richard, Juergen Gall

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A bag-of-words equivalent recurrent neural network for action recognition.

Alexander Richard, Juergen Gall

Comput. Vis. Image Underst., 2017

Weakly supervised learning of actions from transcripts.

Hilde Kuehne, Alexander Richard, Juergen Gall

Comput. Vis. Image Underst., 2017

Temporal Action Labeling using Action Sets.

Alexander Richard, Hilde Kuehne, Juergen Gall

CoRR, 2017

Recurrent Residual Learning for Action Recognition.

Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling.

Alexander Richard, Hilde Kuehne, Juergen Gall

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Temporal Action Detection Using a Statistical Language Model.

Alexander Richard, Juergen Gall

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A BoW-equivalent Recurrent Neural Network for Action Recognition.

Alexander Richard, Juergen Gall

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Mean-normalized stochastic gradient for large-scale deep learning.

Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney

Proceedings of the IEEE International Conference on Acoustics, 2014

RASR/NN: The RWTH neural network toolkit for speech recognition.

Simon Wiesler, Alexander Richard, Pavel Golik, Ralf Schlüter, Hermann Ney

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A critical evaluation of stochastic algorithms for convex optimization.

Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney

Proceedings of the IEEE International Conference on Acoustics, 2013

2011

Feature selection for log-linear acoustic models.

Simon Wiesler, Alexander Richard, Yotaro Kubo, Ralf Schlüter, Hermann Ney

Proceedings of the IEEE International Conference on Acoustics, 2011