CBGIR: content-based geographic image retrieval. - Shawn D. Newsam; Daniel Leung; Oscar Caballero; Justin Floreza; Jesus Pulido (GIS, 2010)

Constructing Point Clouds from Underwater Stereo Movies. - Jesus Pulido; Ricardo Dutra da Silva; Dawn Y. Sumner; Hélio Pedrini; Bernd Hamann (ISVC (1), 2014)

A topology-based approach to computing neighborhood-of-interest points using the Morse complex. - Ricardo Dutra da Silva; William Robson Schwartz; Hélio Pedrini; Jesus Pulido; Bernd Hamann (J. Vis. Commun. Image Represent., 2015)

In situ data-driven adaptive sampling for large-scale simulation data summarization. - Ayan Biswas; Soumya Dutta; Jesus Pulido; James P. Ahrens (ISAV@SC, 2018)

Remote visual analysis of large turbulence databases at multiple scales. - Jesus Pulido; Daniel Livescu; Kalin Kanov; Randal C. Burns; Curtis Canada; James P. Ahrens; Bernd Hamann (J. Parallel Distributed Comput., 2018)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - Sian Jin; Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Jiannan Tian; Dingwen Tao; James P. Ahrens (IPDPS, 2020)

Foresight: analysis that matters for data reduction. - Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Arvind T. Mohan; Ayan Biswas; John Patchett; Terece L. Turton; David H. Rogers 001; Daniel Livescu; James P. Ahrens (SC, 2020)

Personalized In Situ Steering for Analysis and Visualization. - Pascal Grosset; Jesus Pulido; James P. Ahrens (ISAV@SC, 2020)

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Sian Jin; Jesus Pulido; Pascal Grosset; Jiannan Tian; Dingwen Tao; James P. Ahrens (HPDC, 2021)

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. - Jesus Pulido; John Patchett; Manish Bhattarai; Boian S. Alexandrov; James P. Ahrens (EuroVis (Short Papers), 2021)

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; James P. Ahrens; Dingwen Tao (HPDC, 2022)

Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; James P. Ahrens; Dingwen Tao (CoRR, 2022)

Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; James P. Ahrens; Dingwen Tao (SC Workshops, 2023)

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; Sian Jin; Houjun Tang; Jean M. Sexton; Sheng Di; Kai Zhao 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. - Daoce Wang; Pascal Grosset; Jesus Pulido; Tushar M. Athawale; Jiannan Tian; Kai Zhao 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)