Dídac Surís

1.3k total citations
9 papers, 201 citations indexed

About

Dídac Surís is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Dídac Surís has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Dídac Surís's work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Music and Audio Processing (2 papers). Dídac Surís is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Music and Audio Processing (2 papers). Dídac Surís collaborates with scholars based in United States and Canada. Dídac Surís's co-authors include Carl Vondrick, Sachit Menon, James Glass, Antonio Torralba, Galen Chuang, David Harwath, Adrià Recasens, Justin Salamon, Bryan Russell and Carl Vondrick and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Dídac Surís

9 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dídac Surís United States	6	140	88	43	20	12	9	201
Christos Tzelepis United Kingdom	9	162 1.2×	65 0.7×	29 0.7×	9 0.5×	7 0.6×	21	208
Tangjie Lv China	7	101 0.7×	60 0.7×	30 0.7×	18 0.9×	36 3.0×	24	178
Vivek Kshirsagar India	3	179 1.3×	35 0.4×	64 1.5×	6 0.3×	18 1.5×	8	226
Jerneja Žganec Gros Slovenia	8	67 0.5×	90 1.0×	78 1.8×	6 0.3×	23 1.9×	43	209
Daiheng Gao China	6	172 1.2×	47 0.5×	17 0.4×	11 0.6×	4 0.3×	12	201
Ming-Yu Liu United States	3	106 0.8×	46 0.5×	16 0.4×	7 0.3×	5 0.4×	4	152
Sai Rajeswar India	5	75 0.5×	80 0.9×	15 0.3×	6 0.3×	10 0.8×	10	150
Shuang Ma United States	9	176 1.3×	96 1.1×	58 1.3×	7 0.3×	3 0.3×	16	247
Shant Navasardyan United States	6	201 1.4×	28 0.3×	24 0.6×	27 1.4×	5 0.4×	20	232
Raphaël Marinier United States	5	84 0.6×	203 2.3×	122 2.8×	21 1.1×	8 0.7×	7	319

Countries citing papers authored by Dídac Surís

Since Specialization

Citations

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

Fields of papers citing papers by Dídac Surís

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dídac Surís

This figure shows the co-authorship network connecting the top 25 collaborators of Dídac Surís. A scholar is included among the top collaborators of Dídac Surís 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 Dídac Surís. Dídac Surís 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:

9 of 9 papers shown

1.

Liu, Ruoshi, Dídac Surís, Dian Chen, et al.. (2024). pix2gestalt: Amodal Segmentation by Synthesizing Wholes. 3931–3940. 10 indexed citations

2.

Surís, Dídac, et al.. (2023). FLEX: Full-Body Grasping Without Full-Body Grasps. 21179–21189. 17 indexed citations

3.

Surís, Dídac, Sachit Menon, & Carl Vondrick. (2023). ViperGPT: Visual Inference via Python Execution for Reasoning. 11854–11864. 87 indexed citations

4.

Hoorick, Basile Van, et al.. (2022). Revealing Occlusions with 4D Neural Fields. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3001–3011. 7 indexed citations

5.

Surís, Dídac, Carl Vondrick, Bryan Russell, & Justin Salamon. (2022). It's Time for Artistic Correspondence in Music and Video. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10554–10564. 22 indexed citations

6.

Surís, Dídac, et al.. (2022). Globetrotter: Connecting Languages by Connecting Images. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16453–16463. 5 indexed citations

7.

Surís, Dídac, et al.. (2019). Learning to Learn Words from Narrated Video.. arXiv (Cornell University). 3 indexed citations

8.

Harwath, David, Adrià Recasens, Dídac Surís, et al.. (2019). Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. International Journal of Computer Vision. 128(3). 620–641. 45 indexed citations

9.

Surís, Dídac, Adrià Recasens, David Bau, et al.. (2019). Learning Words by Drawing Images. 2029–2038. 5 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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