Vlad Hosu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution. | Vlad Hosu, Lorenzo Agnolucci, Daisuke Iso, Dietmar Saupe |
| 2025 | ICCV | AIM 2025 Challenge on Real-World RAW Image Denoising. | Feiran Li, Jiacheng Li, Marcos V. Conde, Beril Besbinar, Vlad Hosu, Daisuke Iso, Radu Timofte |
| 2024 | ECCV | UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment. | Vlad Hosu, Lorenzo Agnolucci, Oliver Wiedemann, Daisuke Iso, Dietmar Saupe |
| 2024 | ECCV | AIM 2024 Challenge on UHD Blind Photo Quality Assessment. | Vlad Hosu, Marcos V. Conde, Lorenzo Agnolucci, Nabajeet Barman, Saman Zadtootaghaj, Radu Timofte, Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai, Songbai Tan, Lixin Zhang, Guanghui Yue, Daekyu Kwon, Dongyoung Kim, Seon Joo Kim, Yunchen Zhang, Xiangkai Xu, Hong Gao, Yiming Bao, Ji Shi, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Zewen Chen, Shunhan Xu, Haochen Guo, Yun Zeng, Shuai Liu, Jian Guo, Juan Wang, Bing Li, Dehua Liu, Hesong Liu, Grigory Malivenko, Asile Gerek, Xingyuan Ma, Cheng Li, Joonhee Lee, Junseo Bang, Se Young Chun |
| 2023 | QoMEX | JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. | Michela Testolina, Vlad Hosu, Mohsen Jenadeleh, Davi Lazzarotto, Dietmar Saupe, Touradj Ebrahimi |
| 2022 | GECCO | Fairness in generative modeling: do it unsupervised! | Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanal Carraz Rakotonirina, Laurent Najman, Markus Wagner |
| 2021 | BMVC | KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. | Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe |
| 2020 | ACCV | EvolGAN: Evolutionary Generative Adversarial Networks. | Baptiste Rozire, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jrmy Rapin, Mariia Zameshina, Olivier Teytaud |
| 2020 | GECCO | Evolutionary super-resolution. | Baptiste Rozire, Nathanal Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie |
| 2020 | ICPR | Tarsier: Evolving Noise Injection in Super-Resolution GANs. | Baptiste Rozire, Nathanal Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud |
| 2020 | QoMEX | Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. | Hui Men, Vlad Hosu, Hanhe Lin, Andrs Bruhn, Dietmar Saupe |
| 2020 | QoMEX | Foveated Video Coding for Real-Time Streaming Applications. | Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe |
| 2020 | WACV | Color Composition Similarity and Its Application in Fine-grained Similarity. | Mai Lan Ha, Vlad Hosu, Volker Blanz |
| 2019 | CVPR | Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. | Vlad Hosu, Bastian Goldlcke, Dietmar Saupe |
| 2019 | QoMEX | SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. | Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe |
| 2019 | QoMEX | KADID-10k: A Large-scale Artificially Distorted IQA Database. | Hanhe Lin, Vlad Hosu, Dietmar Saupe |
| 2019 | QoMEX | Visual Quality Assessment for Motion Compensated Frame Interpolation. | Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrs Bruhn, Dietmar Saupe |
| 2018 | QoMEX | Expertise screening in crowdsourcing image quality. | Vlad Hosu, Hanhe Lin, Dietmar Saupe |
| 2018 | QoMEX | Disregarding the Big Picture: Towards Local Image Quality Assessment. | Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe |
| 2017 | QoMEX | The Konstanz natural video database (KoNViD-1k). | Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tams Szirnyi, Shujun Li, Dietmar Saupe |
| 2016 | PCS | Saliency-driven image coding improves overall perceived JPEG quality. | Vlad Hosu, Franz Hahn, Oliver Wiedemann, Sung-Hwan Jung, Dietmar Saupe |