Alexander Richard

1.4k total citations
20 papers, 687 citations indexed

About

Alexander Richard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Alexander Richard has authored 20 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Alexander Richard's work include Speech and Audio Processing (8 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (8 papers). Alexander Richard is often cited by papers focused on Speech and Audio Processing (8 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (8 papers). Alexander Richard collaborates with scholars based in Germany, United States and Israel. Alexander Richard's co-authors include Jüergen Gall, Hilde Kuehne, Yaser Sheikh, Fernando De la Torre, Yandong Wen, Michael Zollhöfer, Ralf Schlüter, Simon Wiesler, Hermann Ney and Dejan Marković and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Alexander Richard

20 papers receiving 648 citations

Peers

Alexander Richard

CVPR

CSE

Lincheng Li China

Xiaodan Zhuang United States

Qaiser Riaz Pakistan

Shugao Ma United States

Runhao Zeng China

Michalis Raptis United States

Grégory Rogez Spain

Petar Aleksic United States

Jiagang Zhu China

Lincheng Li China

Alexander Richard

595 ×1.1

CVPR

83 ×0.2

199 ×1.5

94 ×1.4

CSE

55 ×1.3

Citations per year, relative to Alexander Richard Alexander Richard (= 1×) peers Lincheng Li

Countries citing papers authored by Alexander Richard

Since Specialization

Citations

This map shows the geographic impact of Alexander Richard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexander Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Richard more than expected).

Fields of papers citing papers by Alexander Richard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Richard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexander Richard. The network helps show where Alexander Richard may publish in the future.

Co-authorship network of co-authors of Alexander Richard

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Richard. A scholar is included among the top collaborators of Alexander Richard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Richard. Alexander Richard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Weipeng, Alexander Richard, Shih-En Wei, et al.. (2025). Rewind: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning. 7095–7104. 1 indexed citations

Ng, Evonne, Javier M. Romero, Timur Bagautdinov, et al.. (2024). From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. 1001–1010. 15 indexed citations

Chen, Ziyang, Israel D. Gebru, Christian Richardt, et al.. (2024). Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark. 21886–21896. 4 indexed citations

Richter, Julius, et al.. (2024). EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. 4873–4877. 8 indexed citations

Richard, Alexander, Peter Sheridan Dodds, & Vamsi Krishna Ithapu. (2022). Deep Impulse Responses: Estimating and Parameterizing Filters with Deep Networks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3209–3213. 14 indexed citations

Yang, Karren, et al.. (2022). Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8217–8227. 21 indexed citations

Richard, Alexander, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, & Yaser Sheikh. (2021). MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1153–1162. 107 indexed citations

Gebru, Israel D., et al.. (2021). Implicit HRTF Modeling Using Temporal Convolutional Networks. 3385–3389. 19 indexed citations

Richard, Alexander, et al.. (2020). Neural Synthesis of Binaural Speech From Mono Audio. International Conference on Learning Representations. 14 indexed citations

10.

Iqbal, Ahsan, Alexander Richard, & Jüergen Gall. (2019). Enhancing Temporal Action Localization with Transfer Learning from Action Recognition. 1533–1540. 4 indexed citations

11.

Kuehne, Hilde, Alexander Richard, & Jüergen Gall. (2018). A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(4). 765–779. 49 indexed citations

12.

Richard, Alexander, Hilde Kuehne, & Jüergen Gall. (2018). Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. 5987–5996. 51 indexed citations

13.

Richard, Alexander, Hilde Kuehne, & Jüergen Gall. (2017). Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. 1273–1282. 99 indexed citations

14.

Kuehne, Hilde, Alexander Richard, & Jüergen Gall. (2017). Weakly supervised learning of actions from transcripts. Computer Vision and Image Understanding. 163. 78–89. 65 indexed citations

15.

Richard, Alexander & Jüergen Gall. (2016). A bag-of-words equivalent recurrent neural network for action recognition. Computer Vision and Image Understanding. 156. 79–91. 32 indexed citations

16.

Richard, Alexander & Jüergen Gall. (2016). Temporal Action Detection Using a Statistical Language Model. 3131–3140. 109 indexed citations

17.

Richard, Alexander & Jüergen Gall. (2015). A BoW-equivalent Recurrent Neural Network for Action Recognition. 57.1–57.13. 6 indexed citations

18.

Wiesler, Simon, Alexander Richard, Ralf Schlüter, & Hermann Ney. (2014). Mean-normalized stochastic gradient for large-scale deep learning. 5. 180–184. 33 indexed citations

19.

Wiesler, Simon, Alexander Richard, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2014). RASR/NN: The RWTH neural network toolkit for speech recognition. 3281–3285. 29 indexed citations

20.

Wiesler, Simon, Alexander Richard, Ralf Schlüter, & Hermann Ney. (2013). A critical evaluation of stochastic algorithms for convex optimization. 20. 6955–6959. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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