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ORCIDChandrajit L. Bajaj
Chandrajit Bajaj
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2024
[c130]Chen Song, Chandrajit Bajaj, Qixing Huang:
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation. AAAI 2024: 4900-4908- [c129]Taemin Heo, Chandrajit Bajaj:
Sample Efficient Learning of Factored Embeddings of Tensor Fields. AISTATS 2024: 4591-4599 - [c128]Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit L. Bajaj, Qixing Huang:
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. ICLR 2024 - [i33]Chandrajit Bajaj, Minh Nguyen
:
Robust Learning of Noisy Time Series Collections Using Stochastic Process Models with Motion Codes. CoRR abs/2402.14081 (2024) - [i32]Chandrajit Bajaj, Minh Nguyen:
DPO: Differential reinforcement learning with application to optimal configuration search. CoRR abs/2404.15617 (2024) - [i31]Xiaoyan Cong, Haitao Yang, Liyan Chen, Kaifeng Zhang, Li Yi, Chandrajit Bajaj, Qixing Huang:
4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations. CoRR abs/2406.10167 (2024) - [i30]Chandrajit Bajaj, Minh Nguyen, Shubham Bhardwaj:
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning. CoRR abs/2410.15208 (2024) - 2023
- [j102]Ziyue Deng, Junfeng Jiang, Zhengming Chen, Wenxi Zhang, Qingqiang Yao, Chen Song, Yifan Sun, Zhenpei Yang, Siming Yan, Qixing Huang, Chandrajit Bajaj:
TAssembly: Data-driven fractured object assembly using a linear template model. Comput. Graph. 113: 102-112 (2023) - [j101]Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy:
Recipes for when physics fails: recovering robust learning of physics informed neural networks. Mach. Learn. Sci. Technol. 4(1): 15013 (2023) - [i29]Chen Song, Chandrajit Bajaj, Qixing Huang:
DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation. CoRR abs/2303.08977 (2023) - [i28]Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang:
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. CoRR abs/2304.10523 (2023) - 2022
- [j100]Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem:
An efficient algorithm to compute the X-ray transform. Int. J. Comput. Math. 99(7): 1325-1343 (2022) - [j99]Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj:
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19: 101148 (2022) - [j98]Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels:
A Distribution-Dependent Mumford-Shah Model for Unsupervised Hyperspectral Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - [c127]R. Hephzibah, Hepzibah A. Christinal, R. Jayanthi, S. Jebasingh, D. Abraham Chandy, Chandrajit Bajaj:
A Classification Approach to Fetal Cardiotocography Dataset using R. CVMLH/WTEK 2022: 33-40 - [c126]Chen Song, Qixing Huang, Chandrajit Bajaj:
E-CIR: Event-Enhanced Continuous Intensity Recovery. CVPR 2022: 7793-7802 - [c125]Kowsalya A, Hepzibah A. Christinal, D. Abraham Chandy, T. Shekinah, Chandrajit L. Bajaj:
Sparse Modeling of Dictionary Learning in Compressive Sensing for Medical Images. WINS 2022: 7-12 - [i27]Chen Song, Qixing Huang, Chandrajit Bajaj:
E-CIR: Event-Enhanced Continuous Intensity Recovery. CoRR abs/2203.01935 (2022) - [i26]Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels:
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation. CoRR abs/2203.15058 (2022) - [i25]Supawit Chockchowwat, Chandrajit L. Bajaj:
Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose. CoRR abs/2206.12959 (2022) - [i24]Chandrajit Bajaj, Taemin Heo, Rochan Avlur:
Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching. CoRR abs/2209.00372 (2022) - [i23]Chandrajit Bajaj, Omatharv Bharat Vaidya, Yi Wang:
A Particle-based Sparse Gaussian Process Optimizer. CoRR abs/2211.14517 (2022) - [i22]Chandrajit Bajaj, Conrad Li, Minh Nguyen:
Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making. CoRR abs/2212.03320 (2022) - 2021
- [c124]Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang:
Scene Synthesis via Uncertainty-Driven Attribute Synchronization. ICCV 2021: 5610-5620 - [c123]Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj:
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. ICCV 2021: 5795-5805 - [i21]Yunhao Yang, Yuhan Zheng, Yi Wang, Chandrajit Bajaj:
Learning Deep Latent Subspaces for Image Denoising. CoRR abs/2104.00253 (2021) - [i20]Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj:
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR abs/2104.11101 (2021) - [i19]Chandrajit Bajaj, Avik Roy, Haoran Zhang:
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR abs/2107.11717 (2021) - [i18]Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj:
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. CoRR abs/2108.09432 (2021) - [i17]Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang:
Scene Synthesis via Uncertainty-Driven Attribute Synchronization. CoRR abs/2108.13499 (2021) - [i16]Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy:
Robust Learning of Physics Informed Neural Networks. CoRR abs/2110.13330 (2021) - [i15]Chandrajit Bajaj, Yi Wang, Yunhao Yang, Yuhan Zheng:
Recursive Self-Improvement for Camera Image and Signal Processing Pipeline. CoRR abs/2111.07499 (2021) - [i14]Chandrajit Bajaj, Minh Nguyen:
Learning Optimal Control with Stochastic Models of Hamiltonian Dynamics. CoRR abs/2111.08108 (2021) - 2020
- [j97]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
VoroCrust: Voronoi Meshing Without Clipping. ACM Trans. Graph. 39(3): 23:1-23:16 (2020) - [i13]Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang:
Can 3D Adversarial Logos Cloak Humans? CoRR abs/2006.14655 (2020)
2010 – 2019
- 2019
- [j96]Muhibur Rasheed, Nathan Clement, Abhishek Bhowmick, Chandrajit L. Bajaj:
Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1154-1167 (2019) - [j95]Qixing Huang, Zhenxiao Liang, Haoyun Wang, Simiao Zuo, Chandrajit Bajaj:
Tensor maps for synchronizing heterogeneous shape collections. ACM Trans. Graph. 38(4): 106:1-106:18 (2019) - [c122]Chandrajit Bajaj, Yi Wang, Tianming Wang:
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. IEEE BigData 2019: 26-35 - [c121]Soumyajit Gupta, Chandrajit Bajaj:
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. IEEE BigData 2019: 74-83 - [c120]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS 2019: 7834-7844 - [i12]Chandrajit Bajaj, Tianming Wang:
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization. CoRR abs/1902.08224 (2019) - [i11]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
VoroCrust: Voronoi Meshing Without Clipping. CoRR abs/1902.08767 (2019) - [i10]Chandrajit Bajaj, Yi Wang, Tianming Wang:
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. CoRR abs/1907.13634 (2019) - [i9]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR abs/1910.12794 (2019) - 2018
- [j94]Juan Cao, Yanyang Xiao, Zhonggui Chen, Wenping Wang, Chandrajit Bajaj:
Functional data approximation on bounded domains using polygonal finite elements. Comput. Aided Geom. Des. 63: 149-163 (2018) - [j93]Nathan Clement, Muhibur Rasheed, Chandrajit L. Bajaj:
Viral Capsid Assembly: A Quantified Uncertainty Approach. J. Comput. Biol. 25(1): 51-71 (2018) - [c119]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm. SoCG 2018: 1:1-1:16 - [c118]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
VoroCrust Illustrated: Theory and Challenges (Multimedia Exposition). SoCG 2018: 77:1-77:4 - [c117]Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji:
Dynamic Filtering with Large Sampling Field for ConvNets. ECCV (10) 2018: 188-203 - [c116]Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang:
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. ICML 2018: 334-343 - [i8]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, Ahmad A. Rushdi:
Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm. CoRR abs/1803.06078 (2018) - [i7]Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji:
Dynamic Sampling Convolutional Neural Networks. CoRR abs/1803.07624 (2018) - 2017
- [j92]Ahmad A. Rushdi, Scott A. Mitchell, Ahmed H. Mahmoud, Chandrajit Bajaj, Mohamed S. Ebeida:
All-quad meshing without cleanup. Comput. Aided Des. 85: 83-98 (2017) - [j91]Tiago M. C. Simões, Daniel Simões Lopes, Sérgio Dias, Francisco Fernandes, João Pereira, Joaquim A. Jorge, Chandrajit Bajaj, Abel João Padrão Gomes:
Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey. Comput. Graph. Forum 36(8): 643-683 (2017) - [c115]Ahmed Abdelkader, Chandrajit L. Bajaj, Mohamed S. Ebeida, Scott A. Mitchell:
A Seed Placement Strategy for Conforming Voronoi Meshing. CCCG 2017: 95-100 - [c114]Soumyajit Gupta, Chandrajit Bajaj:
Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. NCVPRIPG 2017: 232-244 - [c113]Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj, Qixing Huang:
Translation Synchronization via Truncated Least Squares. NIPS 2017: 1459-1468 - 2016
- [j90]Mohamed S. Ebeida, Ahmad A. Rushdi, Muhammad A. Awad, Ahmed H. Mahmoud, Dong-Ming Yan, Shawn A. English, John D. Owens, Chandrajit L. Bajaj, Scott A. Mitchell:
Disk Density Tuning of a Maximal Random Packing. Comput. Graph. Forum 35(5): 259-269 (2016) - [j89]Andrew Gillette, Alexander Rand, Chandrajit Bajaj:
Construction of Scalar and Vector Finite Element Families on Polygonal and Polyhedral Meshes. Comput. Methods Appl. Math. 16(4): 667-683 (2016) - [c112]Muhibur Rasheed, Nathan Clement, Abhishek Bhowmick, Chandrajit Bajaj:
Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling. BCB 2016: 146-155 - [c111]Nathan Clement, Muhibur Rasheed, Chandrajit L. Bajaj:
Uncertainty quantified computational analysis of the energetics of virus capsid assembly. BIBM 2016: 1706-1713 - [c110]Razieh Nokhbeh Zaeem, Suratna Budalakoti, K. Suzanne Barber, Muhibur Rasheed, Chandrajit Bajaj:
Predicting and explaining identity risk, exposure and cost using the ecosystem of identity attributes. ICCST 2016: 1-8 - [i6]Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj:
Higher Order Mutual Information Approximation for Feature Selection. CoRR abs/1612.00554 (2016) - 2015
- [j88]John Edwards, Eric Daniel, Valerio Pascucci, Chandrajit L. Bajaj:
Approximating the Generalized Voronoi Diagram of Closely Spaced Objects. Comput. Graph. Forum 34(2): 299-309 (2015) - [j87]Radhakrishna Bettadapura, Muhibur Rasheed, Antje Vollrath, Chandrajit Bajaj:
PF2 fit: Polar Fast Fourier Matched Alignment of Atomistic Structures with 3D Electron Microscopy Maps. PLoS Comput. Biol. 11(10) (2015) - [c109]Deukhyun Cha, Qin Zhang, Jesmin Jahan Tithi, Alexander Rand, Rezaul Alam Chowdhury, Chandrajit L. Bajaj:
Accelerated molecular mechanical and solvation energetics on multicore CPUs and manycore GPUs. BCB 2015: 222-231 - [i5]Muhibur Rasheed, Chandrajit L. Bajaj:
Characterization and Construction of a Family of Highly Symmetric Spherical Polyhedra with Application in Modeling Self-Assembling Structures. CoRR abs/1507.08374 (2015) - [i4]Muhibur Rasheed, Nathan Clement, Abhishek Bhowmick, Chandrajit L. Bajaj:
Quantifying and Visualizing Uncertainties in Molecular Models. CoRR abs/1508.03882 (2015) - 2014
- [j86]Alexander Rand, Andrew Gillette, Chandrajit L. Bajaj:
Quadratic serendipity finite elements on polygons using generalized barycentric coordinates. Math. Comput. 83(290): 2691-2716 (2014) - [j85]John Edwards, Eric Daniel, Justin Kinney, Thomas M. Bartol, Terrence J. Sejnowski, Daniel Johnston, Kristen M. Harris, Chandrajit L. Bajaj:
VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function. Neuroinformatics 12(2): 277-289 (2014) - [i3]Chandrajit L. Bajaj, Abhishek Bhowmick, Eshan Chattopadhyay, David Zuckerman:
On Low Discrepancy Samplings in Product Spaces of Motion Groups. CoRR abs/1411.7753 (2014) - 2013
- [j84]Alexander Rand, Andrew Gillette, Chandrajit L. Bajaj:
Interpolation error estimates for mean value coordinates over convex polygons. Adv. Comput. Math. 39(2): 327-347 (2013) - [j83]Chandrajit L. Bajaj, Benedikt Bauer, Radhakrishna Bettadapura, Antje Vollrath:
Nonuniform Fourier Transforms for Rigid-Body and Multidimensional Rotational Correlations. SIAM J. Sci. Comput. 35(4) (2013) - 2012
- [j82]Andrew Gillette, Alexander Rand, Chandrajit L. Bajaj:
Error estimates for generalized barycentric interpolation. Adv. Comput. Math. 37(3): 417-439 (2012) - [j81]Ajay Gopinath, Guoliang Xu, David Ress, Ozan Öktem, Sriram Subramaniam, Chandrajit L. Bajaj:
Shape-Based Regularization of Electron Tomographic Reconstruction. IEEE Trans. Medical Imaging 31(12): 2241-2252 (2012) - [c108]Chandrajit Bajaj:
Quantitative visualization in the computational biological sciences. PacificVis 2012 - [c107]Scott A. Mitchell, Alexander Rand, Mohamed S. Ebeida, Chandrajit L. Bajaj:
Variable Radii Poisson Disk Sampling. CCCG 2012: 185-190 - [c106]Chandrajit Bajaj:
Computational Modeling and Visualization in the Biological Sciences. IC3 2012: 1 - [c105]John Edwards, Wenping Wang, Chandrajit L. Bajaj:
Surface Segmentation for Improved Remeshing. IMR 2012: 403-418 - 2011
- [j80]Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Muhibur Rasheed:
A dynamic data structure for flexible molecular maintenance and informatics. Bioinform. 27(1): 55-62 (2011) - [j79]Andrew Gillette, Chandrajit L. Bajaj:
Dual formulations of mixed finite element methods with applications. Comput. Aided Des. 43(10): 1213-1221 (2011) - [j78]John Edwards, Chandrajit L. Bajaj:
Topologically correct reconstruction of tortuous contour forests. Comput. Aided Des. 43(10): 1296-1306 (2011) - [j77]Chandrajit L. Bajaj, Stefanie Hahmann, Myung-Soo Kim:
Preface. Comput. Aided Des. 43(11): 1319-1321 (2011) - [j76]Guoliang Xu, Chandrajit L. Bajaj:
Regularization of B-spline objects. Comput. Aided Geom. Des. 28(1): 38-49 (2011) - [j75]Rez Khan, Qin Zhang, Shayan Darayan, Sankari Dhandapani, Sucharit Katyal, Clint Greene, Chandrajit L. Bajaj, David Ress:
Surface-based analysis methods for high-resolution functional magnetic resonance imaging. Graph. Model. 73(6): 313-322 (2011) - [j74]Chandrajit L. Bajaj, Shun-Chuan Albert Chen, Alexander Rand:
An Efficient Higher-Order Fast Multipole Boundary Element Solution for Poisson-Boltzmann-Based Molecular Electrostatics. SIAM J. Sci. Comput. 33(2): 826-848 (2011) - [j73]Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Vinay Siddahanavalli:
F2Dock: Fast Fourier Protein-Protein Docking. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 45-58 (2011) - [j72]Wenqi Zhao, Guoliang Xu, Chandrajit L. Bajaj:
An Algebraic Spline Model of Molecular Surfaces for Energetic Computations. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1458-1467 (2011) - [j71]Ojaswa Sharma, Qin Zhang, François Anton, Chandrajit L. Bajaj:
Fast Streaming 3D Level Set Segmentation on the GPU for Smooth Multi-phase Segmentation. Trans. Comput. Sci. 13: 72-91 (2011) - [c104]Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele:
Volumetric Nonlinear Anisotropic Diffusion on GPUs. SSVM 2011: 62-73 - [p4]Chandrajit Bajaj, Andrew Gillette, Samrat Goswami, Bong June Kwon, Jose Rivera:
Complementary Space for Enhanced Uncertainty and Dynamics Visualization. Topological Methods in Data Analysis and Visualization 2011: 217-228 - 2010
- [j70]Chandrajit L. Bajaj, Wenqi Zhao:
Fast Molecular Solvation Energetics and Forces Computation. SIAM J. Sci. Comput. 31(6): 4524-4552 (2010) - [c103]David Ress, Sankari Dhandapani, Sucharit Katyal, Clint Greene, Chandrajit L. Bajaj:
Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imaging. CompIMAGE 2010: 130-140 - [c102]Ojaswa Sharma, Qin Zhang, François Anton, Chandrajit L. Bajaj:
Multi-domain, higher order level set scheme for 3D image segmentation on the GPU. CVPR 2010: 2211-2216 - [c101]Andrew Gillette, Chandrajit L. Bajaj:
A generalization for stable mixed finite elements. Symposium on Solid and Physical Modeling 2010: 41-50 - [c100]John Edwards, Chandrajit L. Bajaj:
Topologically correct reconstruction of tortuous contour forests. Symposium on Solid and Physical Modeling 2010: 51-60 - [c99]Rezaul Alam Chowdhury, Chandrajit L. Bajaj:
Multi-level grid algorithms for faster molecular energetics. Symposium on Solid and Physical Modeling 2010: 147-152 - [c98]Chandrajit L. Bajaj, Radhakrishna Bettadapura, Na Lei, Alex Mollere, Chao Peng, Alexander Rand:
Constructing A-spline weight functions for stable WEB-spline finite element methods. Symposium on Solid and Physical Modeling 2010: 153-158 - [i2]Andrew Gillette, Chandrajit L. Bajaj:
Dual Formulations of Mixed Finite Element Methods. CoRR abs/1012.3929 (2010)
2000 – 2009
- 2009
- [j69]Xiaoyu Zhang, Chandrajit L. Bajaj:
Scalable isosurface visualization of massive datasets on commodity off-the-shelf clusters. J. Parallel Distributed Comput. 69(1): 39-53 (2009) - [c97]Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Muhibur Rasheed:
A dynamic data structure for flexible molecular maintenance and informatics. Symposium on Solid and Physical Modeling 2009: 259-270 - [c96]Chandrajit L. Bajaj, Andrew Gillette, Qin Zhang:
Stable mesh decimation. Symposium on Solid and Physical Modeling 2009: 277-282 - [c95]Chandrajit L. Bajaj, Shun-Chuan Albert Chen, Guoliang Xu, Qin Zhang, Wenqi Zhao:
Hierarchical molecular interfaces and solvation electrostatics. Symposium on Solid and Physical Modeling 2009: 283-288 - [p3]Chandrajit Bajaj, Andrew Gillette, Samrat Goswami:
Topology Based Selection and Curation of Level Sets. Topology-Based Methods in Visualization II 2009: 45-58 - [i1]Chandrajit L. Bajaj, Andrew Gillette, Samrat Goswami, Bong June Kwon, Jose Rivera:
Complementary Space for Enhanced Uncertainty and Dynamics Visualization. CoRR abs/0910.4084 (2009) - 2008
- [j68]Lu Liu, Chandrajit Bajaj, Joseph Deasy, Daniel A. Low, Tao Ju:
Surface Reconstruction From Non-parallel Curve Networks. Comput. Graph. Forum 27(2): 155-163 (2008) - [j67]Chandrajit L. Bajaj, Guoliang Xu, Qin Zhang:
Higher-Order Level-Set Method and Its Application in Biomolecular Surfaces Construction. J. Comput. Sci. Technol. 23(6): 1026-1036 (2008) - [j66]Zeyun Yu, Chandrajit L. Bajaj:
Computational Approaches for Automatic Structural Analysis of Large Biomolecular Complexes. IEEE ACM Trans. Comput. Biol. Bioinform. 5(4): 568-582 (2008) - [c94]Chandrajit L. Bajaj, Yongjie Zhang, Guoliang Xu:
Physically-Based Surface Texture Synthesis Using a Coupled Finite Element System. GMP 2008: 344-357 - [c93]Chandrajit L. Bajaj, Andrew Gillette:
Quality Meshing of a Forest of Branching Structures. IMR 2008: 433-449 - [c92]Chandrajit L. Bajaj, Samrat Goswami:
Multi-component heart reconstruction from volumetric imaging. Symposium on Solid and Physical Modeling 2008: 193-202 - 2007
- [j65]Sangmin Park, Chandrajit L. Bajaj:
Feature selection of 3D volume data through multi-dimensional transfer functions. Pattern Recognit. Lett. 28(3): 367-374 (2007) - [c91]Chandrajit L. Bajaj, Guoliang Xu, Qin Zhang:
Smooth Surface Constructions via a Higher-Order Level-Set Method. CAD/Graphics 2007: 27 - [c90]Chandrajit L. Bajaj, J. Tinsley Oden, Kenneth R. Diller, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek F. Demkowicz, Andrew Elliott, Yusheng Feng, David Fuentes, Boseob Kwon, Serge Prudhomme, R. Jason Stafford, Yongjie Zhang:
Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. International Conference on Computational Science (1) 2007: 972-979