Rogério Feris
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 35
- Multimodal Machine Learning Applications 34
- Advanced Neural Network Applications 22
- Human Pose and Action Recognition 20
- Video Surveillance and Tracking Methods 19
- Advanced Vision and Imaging 17
- Co-authors
- Abhishek KumarMing–Ting SunLarry S. DavisKristen GraumanLisa M. BrownLeonid KarlinskyBehjat SiddiquieYu Cheng
- Journals
- IEEE Transactions on Multimedia (3 papers)IEEE Transactions on Image Processing (1 paper)Journal of Visual Communication and Image Representation (1 paper)ACM Transactions on Graphics (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Rogério Feris
125 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 3.6k
- Artificial Intelligence 1.9k
- Media Technology 517
- Computer Graphics and Computer-Aided Design 113
- Computational Mathematics 15
Countries citing papers authored by Rogério Feris
This map shows the geographic impact of Rogério Feris'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 Rogério Feris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rogério Feris more than expected).
Fields of papers citing papers by Rogério Feris
This network shows the impact of papers produced by Rogério Feris. 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 Rogério Feris. The network helps show where Rogério Feris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rogério Feris, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 46 | |
| 6 | AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning | 2019 | 9 |
| 7 | The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. | 2019 | 17 |
| 8 | Grounding Spoken Words in Unlabeled Video | 2019 | 9 |
| 9 | A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. | 2019 | 20 |
| 10 | 2018 | 263 | |
| 11 | 2018 | 11 | |
| 12 | Dialog-based Interactive Image Retrieval | 2018 | 23 |
| 13 | Learning to Separate Object Sounds by Watching Unlabeled Video | 2018 | 2 |
| 14 | Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition | 2018 | 15 |
| 15 | Delta-encoder: an effective sample synthesis method for few-shot object recognition | 2018 | 64 |
| 16 | The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. | 2018 | 5 |
| 17 | Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. | 2017 | 20 |
| 18 | Auto-Curation and Personalization of Sports Highlights Through Multimodal Excitement Measures | 2017 | 1 |
| 19 | Fast Neural Networks with Circulant Projections. | 2015 | 16 |
| 20 | 2011 | 210 |
About Rogério Feris
Rogério Feris is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Media Technology and Signal Processing, having authored 127 papers that have together received 4.6k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (37 papers), Advanced Image and Video Retrieval Techniques (35 papers), Multimodal Machine Learning Applications (34 papers), Advanced Neural Network Applications (22 papers), Human Pose and Action Recognition (20 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Vision and Imaging (17 papers) and Anomaly Detection Techniques and Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Artificial Intelligence (1.9k citations), Media Technology (517 citations), Computer Graphics and Computer-Aided Design (113 citations) and Computational Mathematics (15 citations). Rogério Feris has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Abhishek Kumar, Ming–Ting Sun, Larry S. Davis, Kristen Grauman, Lisa M. Brown, Leonid Karlinsky, Behjat Siddiquie, Yu Cheng, Jun Xie and Humphrey Shi. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation, ACM Transactions on Graphics and International Journal of Computer Vision.
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.