Maxwell D. Collins

2.6k total citations · 1 hit paper
18 papers, 925 citations indexed

About

Maxwell D. Collins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Maxwell D. Collins has authored 18 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Maxwell D. Collins's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Maxwell D. Collins is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Maxwell D. Collins collaborates with scholars based in United States, Russia and Jamaica. Maxwell D. Collins's co-authors include Yukun Zhu, Liang-Chieh Chen, Hartwig Adam, Bowen Cheng, Thomas S. Huang, Ting Liu, Li Zhang, Michael Figurnov, Jonathan Huang and Ruslan Salakhutdinov and has published in prestigious journals such as Veterinary Record, Lecture notes in computer science and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Maxwell D. Collins

18 papers receiving 892 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.

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

2020 380 citations Bowen Cheng, Maxwell D. Collins et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxwell D. Collins United States	12	661	367	65	51	46	18	925
Stamatios Georgoulis Switzerland	8	503 0.8×	352 1.0×	50 0.8×	62 1.2×	63 1.4×	19	929
Sergey Ablameyko Belarus	12	568 0.9×	207 0.6×	44 0.7×	92 1.8×	65 1.4×	129	955
Mrigank Rochan Canada	12	721 1.1×	418 1.1×	38 0.6×	68 1.3×	50 1.1×	26	1.1k
Anoop Cherian United States	21	836 1.3×	425 1.2×	127 2.0×	75 1.5×	43 0.9×	68	1.2k
Xiaopeng Zhang China	14	752 1.1×	342 0.9×	38 0.6×	100 2.0×	39 0.8×	58	986
Thanh-Toan Do Australia	19	608 0.9×	244 0.7×	163 2.5×	65 1.3×	40 0.9×	52	895
Yunhang Shen China	16	524 0.8×	248 0.7×	64 1.0×	71 1.4×	39 0.8×	48	725
Renrui Zhang China	10	453 0.7×	312 0.9×	50 0.8×	45 0.9×	50 1.1×	18	732
Andrew Howard United States	8	539 0.8×	493 1.3×	40 0.6×	47 0.9×	73 1.6×	16	1.0k

Countries citing papers authored by Maxwell D. Collins

Since Specialization

Citations

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

Fields of papers citing papers by Maxwell D. Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxwell D. Collins. 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 Maxwell D. Collins. The network helps show where Maxwell D. Collins may publish in the future.

Co-authorship network of co-authors of Maxwell D. Collins

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

All Works

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18 of 18 papers shown

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

Yu, Qihang, Huiyu Wang, Dahun Kim, et al.. (2022). CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2550–2560. 55 indexed citations

Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.. arXiv (Cornell University). 2 indexed citations

Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. arXiv (Cornell University). 5 indexed citations

Cheng, Bowen, Maxwell D. Collins, Yukun Zhu, et al.. (2020). Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. 12472–12482. 380 indexed citations breakdown →

Hwang, Jyh-Jing, Stella X. Yu, Jianbo Shi, et al.. (2019). SegSort: Segmentation by Discriminative Sorting of Segments. 7333–7343. 79 indexed citations

Hwang, Seong Jae, et al.. (2018). Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. 1014–1023. 42 indexed citations

Figurnov, Michael, Maxwell D. Collins, Yukun Zhu, et al.. (2017). Spatially Adaptive Computation Time for Residual Networks. 1790–1799. 187 indexed citations

Hwang, Seong Jae, Nagesh Adluru, Maxwell D. Collins, et al.. (2016). Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. PubMed. 5. 2517–2525. 7 indexed citations

10.

Hwang, Seong Jae, Maxwell D. Collins, Vamsi Krishna Ithapu, et al.. (2015). A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. PubMed. 27. 1841–1849. 6 indexed citations

11.

Norouzi, Mohammad, Maxwell D. Collins, Matthew Johnson, David J. Fleet, & Pushmeet Kohli. (2015). Efficient non-greedy optimization of decision trees. arXiv (Cornell University). 28. 1729–1737. 39 indexed citations

12.

Kim, Hyunwoo J., Nagesh Adluru, Maxwell D. Collins, et al.. (2014). Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. PubMed. 2014. 2705–2712. 35 indexed citations

13.

Xu, Jia, Maxwell D. Collins, & Vikas Singh. (2013). Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus. PubMed. 2013. 1886–1893. 12 indexed citations

14.

Mukherjee, Lopamudra, Vikas Singh, Jia Xu, & Maxwell D. Collins. (2012). Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. Lecture notes in computer science. 7575. 128–142. 27 indexed citations

15.

Collins, Maxwell D., et al.. (2012). Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis.. PubMed. 2012. 1271–1278. 5 indexed citations

16.

Allen, Brett L., et al.. (2001). Second Look™ microcalcification detection and classification. International Congress Series. 1230. 579–585. 1 indexed citations

17.

Gough, R., G. Wood, Maxwell D. Collins, et al.. (1985). Rotavirus infection in pheasant poults. Veterinary Record. 116(11). 295–295. 17 indexed citations

18.

Verster, Annette & Maxwell D. Collins. (1966). The incidence of hydatidosis in the Republic of South Africa.. PubMed. 33(1). 49–72. 15 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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