Chandrajit Bajaj

75 papers A* 6A 1B 1C 2Journal 44Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computer Algebra Meets Hamiltonian Geometry: A Tribute to Laureano González-Vega on his 60th Birthday. Maple Trans. Chandrajit Bajaj
2026	J	`jnl`	GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments. CoRR Aditya Sai Ellendula, Yi Wang, Minh Nguyen, Chandrajit Bajaj
2026	J	`jnl`	PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting. CoRR Shubham Bhardwaj, Chandrajit Bajaj
2025	J	`jnl`	Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data. CoRR Luke McLennan, Yi Wang, Ryan Farell, Minh Nguyen, Chandrajit Bajaj
2025	J	`jnl`	Scalable Robust Bayesian Co-Clustering with Compositional ELBOs. CoRR Ashwin Vinod, Chandrajit Bajaj
2025	J	`jnl`	Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation. CoRR Aditya Sai Ellendula, Chandrajit Bajaj
2025	—	`conf`	Self-balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-kernel Estimation. ECML/PKDD (7) Aditya Sai Ellendula, Chandrajit Bajaj
2024	J	`jnl`	4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations. CoRR Xiaoyan Cong, Haitao Yang, Liyan Chen, Kaifeng Zhang, Li Yi, Chandrajit Bajaj, Qixing Huang
2024	J	`jnl`	DPO: Differential reinforcement learning with application to optimal configuration search. CoRR Chandrajit Bajaj, Minh Nguyen
2024	A*	`conf`	DeblurSR: Event-Based Motion Deblurring under the Spiking Representation. AAAI Chen Song, Chandrajit Bajaj, Qixing Huang
2024	J	`jnl`	Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning. CoRR Chandrajit Bajaj, Minh Nguyen, Shubham Bhardwaj
2024	J	`jnl`	Robust Learning of Noisy Time Series Collections Using Stochastic Process Models with Motion Codes. CoRR Chandrajit Bajaj, Minh Nguyen
2024	A	`conf`	Sample Efficient Learning of Factored Embeddings of Tensor Fields. AISTATS Taemin Heo, Chandrajit Bajaj
2023	J	`jnl`	DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation. CoRR Chen Song, Chandrajit Bajaj, Qixing Huang
2023	J	`jnl`	GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. CoRR Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang
2023	J	`jnl`	Recipes for when physics fails: recovering robust learning of physics informed neural networks. Mach. Learn. Sci. Technol. Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
2023	J	`jnl`	TAssembly: Data-driven fractured object assembly using a linear template model. Comput. Graph. Ziyue Deng, Junfeng Jiang, Zhengming Chen, Wenxi Zhang, Qingqiang Yao, Chen Song, Yifan Sun, Zhenpei Yang, Siming Yan, Qixing Huang, Chandrajit Bajaj
2022	—	`conf`	A Classification Approach to Fetal Cardiotocography Dataset using R. CVMLH/WTEK R. Hephzibah, Hepzibah A. Christinal, R. Jayanthi, S. Jebasingh, D. Abraham Chandy, Chandrajit Bajaj
2022	J	`jnl`	A Distribution-Dependent Mumford-Shah Model for Unsupervised Hyperspectral Image Segmentation. IEEE Trans. Geosci. Remote. Sens. Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels
2022	J	`jnl`	A Particle-based Sparse Gaussian Process Optimizer. CoRR Chandrajit Bajaj, Omatharv Bharat Vaidya, Yi Wang
2022	J	`jnl`	A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation. CoRR Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels
2022	J	`jnl`	An efficient algorithm to compute the X-ray transform. Int. J. Comput. Math. Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem
2022	A*	`conf`	E-CIR: Event-Enhanced Continuous Intensity Recovery. CVPR Chen Song, Qixing Huang, Chandrajit Bajaj
2022	J	`jnl`	E-CIR: Event-Enhanced Continuous Intensity Recovery. CoRR Chen Song, Qixing Huang, Chandrajit Bajaj
2022	J	`jnl`	HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj
2022	J	`jnl`	Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching. CoRR Chandrajit Bajaj, Taemin Heo, Rochan Avlur
2022	J	`jnl`	Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making. CoRR Chandrajit Bajaj, Conrad Li, Minh Nguyen
2021	A*	`conf`	ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. ICCV Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj
2021	J	`jnl`	ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. CoRR Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj
2021	J	`jnl`	Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR Chandrajit Bajaj, Avik Roy, Haoran Zhang
2021	J	`jnl`	Learning Deep Latent Subspaces for Image Denoising. CoRR Yunhao Yang, Yuhan Zheng, Yi Wang, Chandrajit Bajaj
2021	J	`jnl`	Learning Optimal Control with Stochastic Models of Hamiltonian Dynamics. CoRR Chandrajit Bajaj, Minh Nguyen
2021	J	`jnl`	Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
2021	J	`jnl`	Recursive Self-Improvement for Camera Image and Signal Processing Pipeline. CoRR Chandrajit Bajaj, Yi Wang, Yunhao Yang, Yuhan Zheng
2021	J	`jnl`	Robust Learning of Physics Informed Neural Networks. CoRR Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
2021	A*	`conf`	Scene Synthesis via Uncertainty-Driven Attribute Synchronization. ICCV Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang
2021	J	`jnl`	Scene Synthesis via Uncertainty-Driven Attribute Synchronization. CoRR Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang
2020	J	`jnl`	Can 3D Adversarial Logos Cloak Humans? CoRR Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
2019	—	`conf`	A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. IEEE BigData Soumyajit Gupta, Chandrajit Bajaj
2019	J	`jnl`	Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization. CoRR Chandrajit Bajaj, Tianming Wang
2019	—	`conf`	SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. IEEE BigData Chandrajit Bajaj, Yi Wang, Tianming Wang
2019	J	`jnl`	SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. CoRR Chandrajit Bajaj, Yi Wang, Tianming Wang
2019	A*	`conf`	Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
2019	J	`jnl`	Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
2019	J	`jnl`	Tensor maps for synchronizing heterogeneous shape collections. ACM Trans. Graph. Qixing Huang, Zhenxiao Liang, Haoyun Wang, Simiao Zuo, Chandrajit Bajaj
2018	—	`conf`	Dynamic Filtering with Large Sampling Field for ConvNets. ECCV (10) Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji
2018	J	`jnl`	Dynamic Sampling Convolutional Neural Networks. CoRR Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji
2018	J	`jnl`	Functional data approximation on bounded domains using polygonal finite elements. Comput. Aided Geom. Des. Juan Cao, Yanyang Xiao, Zhonggui Chen, Wenping Wang, Chandrajit Bajaj
2018	A*	`conf`	SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. ICML Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang
2017	J	`jnl`	All-quad meshing without cleanup. Comput. Aided Des. Ahmad A. Rushdi, Scott A. Mitchell, Ahmed H. Mahmoud, Chandrajit Bajaj, Mohamed S. Ebeida
2017	—	`conf`	Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. NCVPRIPG Soumyajit Gupta, Chandrajit Bajaj
2017	J	`jnl`	Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey. Comput. Graph. Forum Tiago M. C. Simões, Daniel Simões Lopes, Sérgio Dias, Francisco Fernandes, João Pereira, Joaquim A. Jorge, Chandrajit Bajaj, Abel João Padrão Gomes
2017	—	`conf`	Translation Synchronization via Truncated Least Squares. NIPS Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj, Qixing Huang
2016	J	`jnl`	Construction of Scalar and Vector Finite Element Families on Polygonal and Polyhedral Meshes. Comput. Methods Appl. Math. Andrew Gillette, Alexander Rand, Chandrajit Bajaj
2016	J	`jnl`	Higher Order Mutual Information Approximation for Feature Selection. CoRR Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj
2016	—	`conf`	Predicting and explaining identity risk, exposure and cost using the ecosystem of identity attributes. ICCST Razieh Nokhbeh Zaeem, Suratna Budalakoti, K. Suzanne Barber, Muhibur Rasheed, Chandrajit Bajaj
2016	—	`conf`	Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling. BCB Muhibur Rasheed, Nathan Clement, Abhishek Bhowmick, Chandrajit Bajaj
2015	J	`jnl`	PF PLoS Comput. Biol. Radhakrishna Bettadapura, Muhibur Rasheed, Antje Vollrath, Chandrajit Bajaj
2012	—	`conf`	Computational Modeling and Visualization in the Biological Sciences. IC3 Chandrajit Bajaj
2012	B	`conf`	Quantitative visualization in the computational biological sciences. PacificVis Chandrajit Bajaj
2011	—	`ch.`	Complementary Space for Enhanced Uncertainty and Dynamics Visualization. Topological Methods in Data Analysis and Visualization Chandrajit Bajaj, Andrew Gillette, Samrat Goswami, Bong June Kwon, Jose Rivera
2011	—	`conf`	Volumetric Nonlinear Anisotropic Diffusion on GPUs. SSVM Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele
2009	—	`ch.`	Topology Based Selection and Curation of Level Sets. Topology-Based Methods in Visualization II Chandrajit Bajaj, Andrew Gillette, Samrat Goswami
2008	J	`jnl`	Surface Reconstruction From Non-parallel Curve Networks. Comput. Graph. Forum Lu Liu, Chandrajit Bajaj, Joseph Deasy, Daniel A. Low, Tao Ju
2007	—	`conf`	Surface network construction from non-parallel cross-sections. SIGGRAPH Posters Lu Liu, Tao Ju, Daniel A. Low, Chandrajit Bajaj
2007	—	`conf`	Surface network construction from non-parallel cross-sections. SIGGRAPH Sketches Lu Liu, Tao Ju, Daniel A. Low, Chandrajit Bajaj
2005	—	`conf`	Manufacturing proteins with biomolecular machines. SIGGRAPH Electronic Art and Animation Catalog Chandrajit Bajaj
2002	C	`conf`	Active Visualization in a Multidisplay Immersive Environment. EGVE William J. Blanke, Chandrajit Bajaj
2002	—	`conf`	Parallel and Out-of-core View-dependent Isocontour Visualization Using Random Data Distribution. VisSym Xiaoyu Zhang, Chandrajit Bajaj, Vijaya Ramachandran
2002	—	`ed.`	Proceedings of the 18th Annual Symposium on Computational Geometry, Barcelona, Spain, June 5-7, 2002 SCG Ferran Hurtado, Vera Sacristán, Chandrajit Bajaj, Subhash Suri
1999	—	`conf`	Parallel Ray Casting of Visible Human on Distributed Memory Architectures. VisSym Chandrajit Bajaj, Insung Ihm, Gee Bum Koo, Sanghun Park
1999	—	`conf`	Web based collaborative visualization of distributed and parallel simulation. PVGS Chandrajit Bajaj, Steven Cutchin
1998	J	`jnl`	Sliced Configuration Spaces for Curved Planar Bodies. Int. J. Robotics Res. Elisha Sacks, Chandrajit Bajaj
1994	—	`ch.`	Converting a Rational Curve to a Standard Rational Bernstein-Bézier Representation. Graphics Gems Chandrajit Bajaj, Guoliang Xu
1993	C	`conf`	SHASTRA-an architecture for development of collaborative applications. WETICE Vinod Anupam, Chandrajit Bajaj