Tim K. Marks

5.3k total citations · 3 hit papers
51 papers, 3.1k citations indexed

About

Tim K. Marks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Tim K. Marks has authored 51 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Tim K. Marks's work include Face recognition and analysis (10 papers), Multimodal Machine Learning Applications (9 papers) and Human Pose and Action Recognition (9 papers). Tim K. Marks is often cited by papers focused on Face recognition and analysis (10 papers), Multimodal Machine Learning Applications (9 papers) and Human Pose and Action Recognition (9 papers). Tim K. Marks collaborates with scholars based in United States, Japan and China. Tim K. Marks's co-authors include Michael Jones, Ejaz Ahmed, Garrison W. Cottrell, Matthew H. Tong, Lingyun Zhang, Honghao Shan, Oncel Tuzel, Ashok Veeraraghavan, M. G. K. Jones and Bharat Singh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Tim K. Marks

50 papers receiving 3.0k citations

Hit Papers

SUN: A Bayesian framework for saliency using natural stat... 2008 2026 2014 2020 2008 2015 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim K. Marks United States 18 2.6k 615 379 331 288 51 3.1k
Federico Perazzi United States 17 3.8k 1.5× 81 0.1× 279 0.7× 312 0.9× 467 1.6× 22 4.0k
Li-Ming Zhao China 19 1.1k 0.4× 281 0.5× 261 0.7× 145 0.4× 53 0.2× 46 1.6k
Zejian Yuan China 20 3.5k 1.4× 245 0.4× 456 1.2× 313 0.9× 775 2.7× 91 3.9k
Mohammed Yeasin United States 21 612 0.2× 116 0.2× 485 1.3× 406 1.2× 21 0.1× 107 1.8k
Wei Ji China 18 1.3k 0.5× 92 0.1× 185 0.5× 287 0.9× 88 0.3× 75 1.8k
Dima Damen United Kingdom 22 1.9k 0.7× 323 0.5× 69 0.2× 692 2.1× 8 0.0× 89 2.5k
Menglong Zhu United States 12 1.5k 0.6× 135 0.2× 144 0.4× 298 0.9× 48 0.2× 23 1.9k
Chiew‐Lan Tai Hong Kong 32 2.7k 1.1× 99 0.2× 126 0.3× 119 0.4× 32 0.1× 89 4.5k

Countries citing papers authored by Tim K. Marks

Since Specialization
Citations

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

Fields of papers citing papers by Tim K. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim K. Marks. 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 Tim K. Marks. The network helps show where Tim K. Marks may publish in the future.

Co-authorship network of co-authors of Tim K. Marks

This figure shows the co-authorship network connecting the top 25 collaborators of Tim K. Marks. A scholar is included among the top collaborators of Tim K. Marks 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 Tim K. Marks. Tim K. Marks 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.
Yang, Zeyuan, Peihao Chen, Anoop Cherian, et al.. (2024). RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation. 16251–16261. 3 indexed citations
2.
Cherian, Anoop, Siddarth Jain, & Tim K. Marks. (2024). Few-shot Transparent Instance Segmentation for Bin Picking. 5009–5016. 1 indexed citations
3.
Egger, Bernhard, Suhas Lohit, Anoop Cherian, et al.. (2024). TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models. 9015–9025. 5 indexed citations
4.
Du, Yilun, et al.. (2024). Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. 557–564. 1 indexed citations
5.
Marks, Tim K., et al.. (2023). Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent. 2715–2719. 2 indexed citations
6.
Egger, Bernhard, Anoop Cherian, Ye Wang, et al.. (2022). MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1962–1971. 16 indexed citations
7.
Cherian, Anoop, Chiori Hori, Tim K. Marks, & Jonathan Le Roux. (2022). (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 444–453. 22 indexed citations
8.
Kumar, Abhinav, Tim K. Marks, Wenxuan Mou, et al.. (2020). LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood. 8233–8243. 87 indexed citations
9.
Hori, Chiori, Takaaki Hori, Gordon Wichern, et al.. (2018). Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. Computer Vision and Pattern Recognition. 2528–2531. 10 indexed citations
10.
Singh, Bharat, Tim K. Marks, M. G. K. Jones, Oncel Tuzel, & Ming Shao. (2016). A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. 1961–1970. 281 indexed citations breakdown →
11.
Asthana, Akshay, Michael Jones, Tim K. Marks, Kinh Tieu, & Roland Goecke. (2011). Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition. ANU Open Research (Australian National University). 127.1–127.11. 20 indexed citations
12.
Asthana, Akshay, Tim K. Marks, Michael Jones, Kinh Tieu, & Rohith MV. (2011). Fully automatic pose-invariant face recognition via 3D pose normalization. ANU Open Research (Australian National University). 937–944. 163 indexed citations
13.
Kumar, Ritwik, Michael Jones, & Tim K. Marks. (2010). Morphable Reflectance Fields for enhancing face recognition. 2606–2613. 11 indexed citations
14.
Marks, Tim K., et al.. (2008). Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 348–363. 21 indexed citations
15.
Barrington, Luke, Tim K. Marks, Janet H. Hsiao, & Garrison W. Cottrell. (2008). NIMBLE: A kernel density model of saccade-based visual memory. Journal of Vision. 8(14). 17–17. 20 indexed citations
16.
Zhang, Lingyun, Matthew H. Tong, Tim K. Marks, Honghao Shan, & Garrison W. Cottrell. (2008). SUN: A Bayesian framework for saliency using natural statistics. Journal of Vision. 8(7). 32–32. 874 indexed citations breakdown →
17.
Barrington, Luke, Tim K. Marks, & Garrison W. Cottrell. (2007). NIMBLE: A Kernel Density Model of Saccade-Based Visual Memory. eScholarship (California Digital Library). 29(29). 4 indexed citations
18.
Marks, Tim K., J. Cooper Roddey, Javier R. Movellan, & John R. Hershey. (2004). Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters. Neural Information Processing Systems. 17. 889–896. 8 indexed citations
19.
Marks, Tim K., et al.. (2002). AN APPROACH TO THE VALIDATION OF ROAD TRAFFIC NOISE MODELS. 1 indexed citations
20.
Fasel, Ian, et al.. (2001). Automatic analysis of of spontaneous facial behavior: A final project report. 13 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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