Ameesh Makadia

2.8k total citations
37 papers, 1.1k citations indexed

About

Ameesh Makadia is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Ameesh Makadia has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 9 papers in Computational Mechanics. Recurrent topics in Ameesh Makadia's work include Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (13 papers) and 3D Shape Modeling and Analysis (9 papers). Ameesh Makadia is often cited by papers focused on Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (13 papers) and 3D Shape Modeling and Analysis (9 papers). Ameesh Makadia collaborates with scholars based in United States, United Kingdom and Canada. Ameesh Makadia's co-authors include Kostas Daniilidis, Sanjiv Kumar, Vladimir Pavlović, Carlos Esteves, Noah Snavely, Christopher Geyer, Thomas Bülow, Angjoo Kanazawa, Leonid Sigal and Christine Allen-Blanchette and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ameesh Makadia

37 papers receiving 1.0k citations

Peers

Ameesh Makadia
Tianwei Shen Hong Kong
Venu Madhav Govindu India
Yueqi Duan China
Kwang Moo Yi Canada
Yi Wei China
Hossam Isack Canada
Jiahao Pang Hong Kong
J. Oliensis United States
Dor Verbin United States
Tianwei Shen Hong Kong
Ameesh Makadia
Citations per year, relative to Ameesh Makadia Ameesh Makadia (= 1×) peers Tianwei Shen

Countries citing papers authored by Ameesh Makadia

Since Specialization
Citations

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

Fields of papers citing papers by Ameesh Makadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ameesh Makadia

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

All Works

20 of 20 papers shown
1.
Esteves, Carlos, et al.. (2024). Single Mesh Diffusion Models with Field Latents for Texture Generation. 7953–7963. 1 indexed citations
2.
Gupta, Kamal, Varun Jampani, Carlos Esteves, et al.. (2023). ASIC: Aligning Sparse in-the-wild Image Collections. 4111–4122. 6 indexed citations
3.
Singhal, Utkarsh, Carlos Esteves, Ameesh Makadia, & Stella X. Yu. (2023). Learning to Transform for Generalizable Instance-wise Invariance. 6188–6198. 1 indexed citations
4.
Murphy, Kieran A., Varun Jampani, Srikumar Ramalingam, & Ameesh Makadia. (2022). Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). abs 1703 7464. 15989–15999. 1 indexed citations
5.
Wu, Shangzhe, Ameesh Makadia, Jiajun Wu, et al.. (2021). De-rendering the World’s Revolutionary Artefacts. 6334–6343. 19 indexed citations
6.
Esteves, Carlos, et al.. (2020). An Analysis of SVD for Deep Rotation Estimation. Neural Information Processing Systems. 33. 22554–22565. 3 indexed citations
7.
Mordohai, Philippos, et al.. (2020). NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips. 36. 10076–10083. 1 indexed citations
8.
Esteves, Carlos, Christine Allen-Blanchette, Ameesh Makadia, & Kostas Daniilidis. (2019). Learning SO(3) Equivariant Representations with Spherical CNNs. International Journal of Computer Vision. 128(3). 588–600. 62 indexed citations
9.
Hall, Georgina, et al.. (2017). Geometry of 3D Environments and Sum of Squares Polynomials. 16 indexed citations
10.
Yümer, Mehmet Ersın, et al.. (2014). Co-segmentation of Textured 3D Shapes with Sparse Annotations. 240–247. 6 indexed citations
11.
Makadia, Ameesh & Mehmet Ersın Yümer. (2014). Learning 3D Part Detection from Sparsely Labeled Data. 311–318. 5 indexed citations
12.
Weston, Jason, Ameesh Makadia, & Hector Yee. (2013). Label Partitioning For Sublinear Ranking. International Conference on Machine Learning. 181–189. 46 indexed citations
13.
Toshev, Alexander, Ameesh Makadia, & Kostas Daniilidis. (2009). Shape-based object recognition in videos using 3D synthetic object models. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 288–295. 42 indexed citations
14.
Daniilidis, Kostas & Ameesh Makadia. (2007). Robust correspondence-free algorithms for 3d motion recovery. 146(1). 69–75. 1 indexed citations
15.
Makadia, Ameesh, Mirkó Visontai, & Kostas Daniilidis. (2007). Harmonic Silhouette Matching for 3D Models. 1651. 1–4. 4 indexed citations
16.
Makadia, Ameesh, Christopher Geyer, & Kostas Daniilidis. (2007). Correspondenceless Structure from Motion. ScholarlyCommons (University of Pennsylvania). 9 indexed citations
17.
Makadia, Ameesh & Kostas Daniilidis. (2006). Rotation recovery from spherical images without correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(7). 1170–1175. 66 indexed citations
18.
Makadia, Ameesh, et al.. (2006). Fully Automatic Registration of 3D Point Clouds. 1. 1297–1304. 215 indexed citations
19.
Makadia, Ameesh, Christopher Geyer, S. Shankar Sastry, & Kostas Daniilidis. (2005). Radon-Based Structure from Motion without Correspondences. 1. 796–803. 28 indexed citations
20.
Makadia, Ameesh & Kostas Daniilidis. (2003). Direct 3D-rotation estimation from spherical images via a generalized shift theorem. 2. II–217. 43 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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