Gunjan Gupta
According to our database1,
Gunjan Gupta
authored at least 15 papers
between 2001 and 2024.
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Bibliography
2024
Imagine2Servo: Intelligent Visual Servoing with Diffusion-Driven Goal Generation for Robotic Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
2022
Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2020
Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
2010
Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets.
Proceedings of the ICDMW 2010, 2010
2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
ACM Trans. Knowl. Discov. Data, 2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2006
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Proceedings of the Machine Learning, 2005
2003
2001
Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data.
Proceedings of the First SIAM International Conference on Data Mining, 2001
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2001