Alexander G. Schwing
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Media Technology top 1%
- Geology top 2%
- Co-authors
- Raquel UrtasunWenjie LuoMarc PollefeysTamir HazanSanja FidlerJia XuZiyu ZhangZhongzheng Ren
- Topics
- Advanced Image and Video Retrieval Techniques (20 papers)Multimodal Machine Learning Applications (18 papers)Advanced Vision and Imaging (17 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Alexander G. Schwing
85 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 830
- Aerospace Engineering 340
- Media Technology 299
- Geology 219
Countries citing papers authored by Alexander G. Schwing
This map shows the geographic impact of Alexander G. Schwing'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 G. Schwing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander G. Schwing more than expected).
Fields of papers citing papers by Alexander G. Schwing
This network shows the impact of papers produced by Alexander G. Schwing. 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 G. Schwing. The network helps show where Alexander G. Schwing may publish in the future.
Co-authorship network of co-authors of Alexander G. Schwing
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander G. Schwing. A scholar is included among the top collaborators of Alexander G. Schwing 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 G. Schwing. Alexander G. Schwing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 64 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | TAB-VCR: Tags and Attributes based VCR Baselines | 6 |
| 7 | Diverse and Controllable Image Captioning with Part-of-Speech Guidance | 10 |
| 8 | Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping | 11 |
| 9 | Pipe-SGD: a decentralized pipelined SGD framework for distributed deep net training | 27 |
| 10 | GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training | 23 |
| 11 | Diverse and accurate image description using a variational auto-encoder with an additive Gaussian encoding space | 45 |
| 12 | High-Order Attention Models for Visual Question Answering | 29 |
| 13 | Dualing GANs | 5 |
| 14 | Learning Deep Parsimonious Representations | 33 |
| 15 | Blending learning and inference in conditional random fields | 1 |
| 16 | Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening | 12 |
| 17 | 78 | |
| 18 | Smooth and strong: MAP inference with linear convergence | 8 |
| 19 | 69 | |
| 20 | 52 |
About Alexander G. Schwing
Alexander G. Schwing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 88 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Geology (219 citations) and Media Technology (299 citations). Alexander G. Schwing has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Raquel Urtasun, Wenjie Luo, Marc Pollefeys, Tamir Hazan, Sanja Fidler, Jia Xu, Ziyu Zhang, Zhongzheng Ren, Liwei Wang and Tanja Käser. Their work appears in journals such as Optics Express, Journal of Machine Learning Research and Data Mining and Knowledge Discovery.
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.