David Picard

2.7k total citations
40 papers, 835 citations indexed

About

David Picard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, David Picard has authored 40 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in David Picard's work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Human Pose and Action Recognition (9 papers). David Picard is often cited by papers focused on Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Human Pose and Action Recognition (9 papers). David Picard collaborates with scholars based in France, Switzerland and Australia. David Picard's co-authors include Hedi Tabia, Diogo Luvizon, Philippe-Henri Gosselin, Dominique Leguillon, Matthieu Cord, Hamid Laga, Adrian Popescu, Hedi Tabia, Arnaud Revel and Nicolas Thome and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

David Picard

35 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Picard France	15	593	262	119	104	73	40	835
Thangarajah Akilan Canada	17	437 0.7×	207 0.8×	55 0.5×	39 0.4×	25 0.3×	52	831
Yi Tian China	16	544 0.9×	299 1.1×	245 2.1×	119 1.1×	19 0.3×	92	941
Kun Yuan China	12	500 0.8×	222 0.8×	56 0.5×	22 0.2×	30 0.4×	32	727
Zhenxue Chen China	18	947 1.6×	129 0.5×	75 0.6×	55 0.5×	17 0.2×	88	1.2k
Xiaolong Wang United States	15	672 1.1×	165 0.6×	122 1.0×	147 1.4×	146 2.0×	35	1.1k
Zhaoxiang Liu China	13	215 0.4×	62 0.2×	67 0.6×	136 1.3×	38 0.5×	53	790
Michael Donoser Austria	16	1000 1.7×	127 0.5×	48 0.4×	82 0.8×	67 0.9×	60	1.3k
Viacheslav Voronin Russia	13	423 0.7×	83 0.3×	60 0.5×	17 0.2×	51 0.7×	171	762
Josep R. Casas Spain	16	642 1.1×	139 0.5×	85 0.7×	124 1.2×	92 1.3×	94	963
Жипенг Ли China	11	153 0.3×	118 0.5×	50 0.4×	69 0.7×	12 0.2×	84	583

Countries citing papers authored by David Picard

Since Specialization

Citations

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

Fields of papers citing papers by David Picard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Picard

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

All Works

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20 of 20 papers shown

Kalogeiton, Vicky, et al.. (2024). Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion. SPIRE - Sciences Po Institutional REpository. 6264–6273.

Luvizon, Diogo, Hedi Tabia, & David Picard. (2023). SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression. Pattern Recognition. 142. 109714–109714. 10 indexed citations

Picard, David, et al.. (2023). H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. SPIRE - Sciences Po Institutional REpository. 20109–20120. 6 indexed citations

Luvizon, Diogo, David Picard, & Hedi Tabia. (2022). Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates. International Journal of Computer Vision. 130(3). 869–882. 21 indexed citations

Picard, David, et al.. (2021). Learning Uncertainty For Safety-Oriented Semantic Segmentation In\n Autonomous Driving. arXiv (Cornell University). 6 indexed citations

Picard, David, et al.. (2021). Learning Disconnected Manifolds: Avoiding The No Gan's Land by Latent Rejection.

Picard, David, et al.. (2018). Distributed optimization for deep learning with gossip exchange. Neurocomputing. 330. 287–296. 35 indexed citations

Luvizon, Diogo, Hedi Tabia, & David Picard. (2017). Human Pose Regression by Combining Indirect Part Detection and\n Contextual Information. arXiv (Cornell University). 133 indexed citations

Freney, Evelyn, et al.. (2016). Experimental Evidence of the Feeding of the Free Troposphere with Aerosol Particles from the Mixing Layer. Aerosol and Air Quality Research. 16(3). 702–716. 10 indexed citations

10.

Alves, Ana Sofia, Nuno Castro, Luı́s Cancela da Fonseca, et al.. (2016). Polychaete annelids as live bait in Portugal: harvesting activity in estuarine systems. Frontiers in Marine Science. 3. 3 indexed citations

11.

Picard, David, et al.. (2015). Asynchronous gossip principal components analysis. Neurocomputing. 169. 262–271. 4 indexed citations

12.

Durand, Thibaut, David Picard, Nicolas Thome, & Matthieu Cord. (2014). Semantic pooling for image categorization using multiple kernel learning. 9. 170–174. 4 indexed citations

13.

Picard, David & Inbar Fijalkow. (2014). Second order model deviations of local Gabor features for texture classification. 2014 48th Asilomar Conference on Signals, Systems and Computers. 93. 917–920. 7 indexed citations

14.

Picard, David, et al.. (2014). Local polynomial space–time descriptors for action classification. Machine Vision and Applications. 27(3). 351–361. 16 indexed citations

15.

Tabia, Hedi, Hamid Laga, David Picard, & Philippe-Henri Gosselin. (2014). Covariance Descriptors for 3D Shape Matching and Retrieval. 4185–4192. 84 indexed citations

16.

Picard, David, et al.. (2014). A unified framework for local visual descriptors evaluation. Pattern Recognition. 48(4). 1174–1184. 14 indexed citations

17.

Picard, David, Nicolas Thome, & Matthieu Cord. (2013). JKernelMachines: a simple framework for kernel machine. Journal of Machine Learning Research. 14(1). 1417–1421. 4 indexed citations

18.

Picard, David. (2008). Category - Specific semantic deficits. Docs.school Publications. 2 indexed citations

19.

Picard, David, et al.. (2005). A method to estimate the influence of the notch-root radius on the fracture toughness measurement of ceramics. Journal of the European Ceramic Society. 26(8). 1421–1427. 64 indexed citations

20.

Gagalowicz, André, Christine Graffigne, & David Picard. (2005). Texture boundary positioning. 1. 16–19.

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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