Roland Memisevic
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- Generative Adversarial Networks and Image Synthesis 12
- Human Pose and Action Recognition 9
- Face and Expression Recognition 8
- Advanced Vision and Imaging 7
- Multimodal Machine Learning Applications 6
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 9
- Domain Adaptation and Few-Shot Learning 7
- Human-Computer Interaction top 2%
- Computational Mathematics top 10%
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- Model Reduction and Neural Networks 5
- Co-authors
- Yoshua BengioGeoffrey E. HintonSébastien JeanVincent MichalskiKyunghyun ChoKishore KondaSamira Ebrahimi KahouIngo Bax
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Neural Computation (1 paper)Neural Networks (1 paper)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Roland Memisevic
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 1.5k
- Human-Computer Interaction 192
- Experimental and Cognitive Psychology 362
- Computational Mathematics 15
Countries citing papers authored by Roland Memisevic
This map shows the geographic impact of Roland Memisevic'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 Roland Memisevic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Memisevic more than expected).
Fields of papers citing papers by Roland Memisevic
This network shows the impact of papers produced by Roland Memisevic. 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 Roland Memisevic. The network helps show where Roland Memisevic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland Memisevic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evaluating visual "common sense" using fine-grained classification and captioning tasks. | 2018 | 0 |
| 2 | Fine-grained Video Classification and Captioning | 2018 | 15 |
| 3 | The “Something Something” Video Database for Learning and Evaluating Visual Common Sensebreakdown → | 2017 | 772 |
| 4 | Architectural Complexity Measures of Recurrent Neural Networks | 2016 | 16 |
| 5 | Deep Learning Vector Quantization. | 2016 | 12 |
| 6 | On Using Very Large Target Vocabulary for Neural Machine Translationbreakdown → | 2015 | 465 |
| 7 | Real-time activity recognition via deep learning of motion features | 2015 | 1 |
| 8 | 2015 | 103 | |
| 9 | 2015 | 82 | |
| 10 | Modeling Deep Temporal Dependencies with Recurrent Grammar Cells | 2014 | 39 |
| 11 | Learning to encode motion using spatio-temporal synchrony | 2014 | 6 |
| 12 | On autoencoder scoring | 2013 | 10 |
| 13 | The role of spatio-temporal synchrony in the encoding of motion | 2013 | 1 |
| 14 | Feature grouping from spatially constrained multiplicative interaction | 2013 | 1 |
| 15 | 2011 | 28 | |
| 16 | Gated Softmax Classification | 2010 | 59 |
| 17 | Learning to solve QBF | 2007 | 38 |
| 18 | 2005 | 4 | |
| 19 | 2005 | 47 | |
| 20 | Multiple Relational Embedding | 2004 | 25 |
About Roland Memisevic
Roland Memisevic is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (12 papers), Human Pose and Action Recognition (9 papers), Neural Networks and Applications (9 papers), Face and Expression Recognition (8 papers), Advanced Vision and Imaging (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Artificial Intelligence (1.5k citations) and Human-Computer Interaction (192 citations). Roland Memisevic has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Yoshua Bengio, Geoffrey E. Hinton, Sébastien Jean, Vincent Michalski, Kyunghyun Cho, Kishore Konda, Samira Ebrahimi Kahou, Ingo Bax, Joanna Materzyńska and Christopher Pal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Neural Networks.
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.