Florian Schroff

30.4k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Florian Schroff is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Florian Schroff has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Florian Schroff's work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Florian Schroff is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Florian Schroff collaborates with scholars based in United States, United Kingdom and Netherlands. Florian Schroff's co-authors include Hartwig Adam, Andrew Zisserman, Antonio Criminisi, Liang-Chieh Chen, Wei Hua, Alan Yuille, Li Fei-Fei, Chenxi Liu, George Papandreou and Peng Wang and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Frontiers in Psychology.

In The Last Decade

Florian Schroff

18 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

2019 628 citations Chenxi Liu, Liang-Chieh Chen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Florian Schroff United States	12	1.1k	520	149	117	91	18	1.6k
Francesca Odone Italy	20	922 0.8×	382 0.7×	119 0.8×	139 1.2×	66 0.7×	126	1.6k
Wenqiang Zhang China	22	1.2k 1.0×	610 1.2×	176 1.2×	148 1.3×	280 3.1×	124	2.1k
Bogusław Cyganek Poland	18	519 0.5×	337 0.6×	133 0.9×	58 0.5×	120 1.3×	75	1.3k
Raymond Ptucha United States	18	624 0.6×	333 0.6×	143 1.0×	52 0.4×	75 0.8×	76	1.1k
Weiming Dong China	26	2.1k 1.9×	388 0.7×	356 2.4×	180 1.5×	95 1.0×	118	2.7k
Yutaka Satoh Japan	17	1.9k 1.8×	889 1.7×	92 0.6×	63 0.5×	108 1.2×	95	2.6k
Simone Bianco Italy	25	1.6k 1.5×	335 0.6×	336 2.3×	144 1.2×	79 0.9×	105	2.4k
Jing Pan China	20	914 0.8×	360 0.7×	171 1.1×	146 1.2×	36 0.4×	93	1.7k
Min Hu China	21	588 0.5×	289 0.6×	138 0.9×	63 0.5×	216 2.4×	163	1.6k
Gabriela Csurka France	19	1.1k 1.0×	355 0.7×	137 0.9×	150 1.3×	20 0.2×	59	1.5k

Countries citing papers authored by Florian Schroff

Since Specialization

Citations

This map shows the geographic impact of Florian Schroff'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 Florian Schroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Schroff more than expected).

Fields of papers citing papers by Florian Schroff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Schroff. 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 Florian Schroff. The network helps show where Florian Schroff may publish in the future.

Co-authorship network of co-authors of Florian Schroff

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Schroff. A scholar is included among the top collaborators of Florian Schroff 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 Florian Schroff. Florian Schroff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Cowen, Alan, Jeffrey A. Brooks, Gautam Prasad, et al.. (2024). How emotion is experienced and expressed in multiple cultures: a large-scale experiment across North America, Europe, and Japan. Frontiers in Psychology. 15. 1350631–1350631. 10 indexed citations

2.

Zhao, L., Xingyi Zhou, Jialin Wu, et al.. (2024). Distilling Vision-Language Models on Millions of Videos. 13106–13116. 3 indexed citations

3.

Zhao, L., Liangzhe Yuan, Boqing Gong, et al.. (2023). Unified Visual Relationship Detection with Vision and Language Models. 6939–6950. 6 indexed citations

4.

Xu, Zheng, Maxwell D. Collins, Yuxiao Wang, et al.. (2023). Learning to Generate Image Embeddings with User-Level Differential Privacy. 7969–7980. 11 indexed citations

5.

Yuan, Liangzhe, Rui Qian, Yin Cui, et al.. (2022). Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13957–13966. 14 indexed citations

6.

Zhao, L., Yuxiao Wang, Jiaping Zhao, et al.. (2021). Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. 12788–12797. 22 indexed citations

7.

Cowen, Alan, Dacher Keltner, Florian Schroff, et al.. (2020). Sixteen facial expressions occur in similar contexts worldwide. Nature. 589(7841). 251–257. 145 indexed citations

8.

Liu, Ting, et al.. (2020). EEV Dataset: Predicting Expressions Evoked by Diverse Videos. 5 indexed citations

9.

Liu, Chenxi, Liang-Chieh Chen, Florian Schroff, et al.. (2019). Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. 82–92. 628 indexed citations breakdown →

10.

Oh, Seong Joon, et al.. (2018). Modeling Uncertainty with Hedged Instance Embedding. KAIST Institutional Repository (KAIST). 10 indexed citations

11.

Chen, Liang-Chieh, Alexander Hermans, George Papandreou, et al.. (2018). MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. 4013–4022. 225 indexed citations

12.

Schroff, Florian, Tali Treibitz, David Kriegman, & Serge Belongie. (2011). Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison. 42 indexed citations

13.

Welinder, Peter, Steve Branson, Catherine Wah, et al.. (2010). Caltech-UCSD Birds 200. CaltechAUTHORS (California Institute of Technology). 30 indexed citations

14.

Schroff, Florian, Antonio Criminisi, & Andrew Zisserman. (2010). Harvesting Image Databases from the Web. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4). 754–766. 94 indexed citations

15.

Kurtz, Donna C., David M. Shotton, Graham Klyne, et al.. (2009). CLAROS - Bringing Classical Art to a Global Public. 20–27. 14 indexed citations

16.

Schroff, Florian, C. Lawrence Zitnick, & Simon Baker. (2009). Clustering Videos by Location. 48.1–48.11. 2 indexed citations

17.

Schroff, Florian, Antonio Criminisi, & Andrew Zisserman. (2008). Object Class Segmentation using Random Forests. 54.1–54.10. 175 indexed citations

18.

Schroff, Florian, Antonio Criminisi, & Andrew Zisserman. (2007). Harvesting Image Databases from the Web. 1–8. 133 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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