Chandrajit Bajaj

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 49

Top Topics

Deformable Objects

Top Venues

Publications

Chen Song, Chandrajit Bajaj, Qixing Huang
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation. AAAI (2024)
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 (2024)
Chandrajit Bajaj, Minh Nguyen
Robust Learning of Noisy Time Series Collections Using Stochastic Process Models with Motion Codes. CoRR (2024)
Taemin Heo, Chandrajit Bajaj
Sample Efficient Learning of Factored Embeddings of Tensor Fields. AISTATS (2024)
Chandrajit Bajaj, Minh Nguyen
DPO: Differential reinforcement learning with application to optimal configuration search. CoRR (2024)
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 (2023)
Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. CoRR (2023)
Chen Song, Chandrajit Bajaj, Qixing Huang
DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation. CoRR (2023)
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) (2023)
Chandrajit Bajaj, Omatharv Bharat Vaidya, Yi Wang
A Particle-based Sparse Gaussian Process Optimizer. CoRR (2022)
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)
Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels
A Distribution-Dependent Mumford-Shah Model for Unsupervised Hyperspectral Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation. CoRR (2022)
Chandrajit Bajaj, Taemin Heo, Rochan Avlur
Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching. CoRR (2022)
Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19 (2022)
Chandrajit Bajaj, Conrad Li, Minh Nguyen
Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making. CoRR (2022)
Chen Song, Qixing Huang, Chandrajit Bajaj
E-CIR: Event-Enhanced Continuous Intensity Recovery. CVPR (2022)
Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem
An efficient algorithm to compute the X-ray transform. Int. J. Comput. Math. 99 (7) (2022)
Chen Song, Qixing Huang, Chandrajit Bajaj
E-CIR: Event-Enhanced Continuous Intensity Recovery. CoRR (2022)
Yunhao Yang, Yuhan Zheng, Yi Wang, Chandrajit Bajaj
Learning Deep Latent Subspaces for Image Denoising. CoRR (2021)
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 (2021)
Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR (2021)
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)
Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang
Scene Synthesis via Uncertainty-Driven Attribute Synchronization. CoRR (2021)
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)
Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
Robust Learning of Physics Informed Neural Networks. CoRR (2021)
Chandrajit Bajaj, Yi Wang, Yunhao Yang, Yuhan Zheng
Recursive Self-Improvement for Camera Image and Signal Processing Pipeline. CoRR (2021)
Chandrajit Bajaj, Minh Nguyen
Learning Optimal Control with Stochastic Models of Hamiltonian Dynamics. CoRR (2021)
Chandrajit Bajaj, Avik Roy, Haoran Zhang
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. CoRR (2021)
Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
Can 3D Adversarial Logos Cloak Humans? CoRR (2020)
Qixing Huang, Zhenxiao Liang, Haoyun Wang, Simiao Zuo, Chandrajit Bajaj
Tensor maps for synchronizing heterogeneous shape collections. ACM Trans. Graph. 38 (4) (2019)
Soumyajit Gupta, Chandrajit Bajaj
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. IEEE BigData (2019)
Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR (2019)
Chandrajit Bajaj, Yi Wang, Tianming Wang
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. CoRR (2019)
Chandrajit Bajaj, Yi Wang, Tianming Wang
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. IEEE BigData (2019)
Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS (2019)
Chandrajit Bajaj, Tianming Wang
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization. CoRR (2019)
Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. ICML (2018)
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 (2018)
Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji
Dynamic Sampling Convolutional Neural Networks. CoRR (2018)
Jialin Wu, Dai Li, Yu Yang, Chandrajit Bajaj, Xiangyang Ji
Dynamic Filtering with Large Sampling Field for ConvNets. ECCV (10) (2018)
Soumyajit Gupta, Chandrajit Bajaj
Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. NCVPRIPG (2017)
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) (2017)
Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj, Qixing Huang
Translation Synchronization via Truncated Least Squares. NIPS (2017)
Ahmad A. Rushdi, Scott A. Mitchell, Ahmed H. Mahmoud, Chandrajit Bajaj, Mohamed S. Ebeida
All-quad meshing without cleanup. Comput. Aided Des. 85 (2017)
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) (2016)
Muhibur Rasheed, Nathan Clement, Abhishek Bhowmick, Chandrajit Bajaj
Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling. BCB (2016)
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)
Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj
Higher Order Mutual Information Approximation for Feature Selection. CoRR (2016)
Radhakrishna Bettadapura, Muhibur Rasheed, Antje Vollrath, Chandrajit Bajaj
: Polar Fast Fourier Matched Alignment of Atomistic Structures with 3D Electron Microscopy Maps. PLoS Comput. Biol. 11 (10) (2015)
Chandrajit Bajaj
Quantitative visualization in the computational biological sciences. PacificVis (2012)
Chandrajit Bajaj
Computational Modeling and Visualization in the Biological Sciences. IC3 (2012)
Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele
Volumetric Nonlinear Anisotropic Diffusion on GPUs. SSVM (2011)
Lu Liu, Chandrajit Bajaj, Joseph Deasy, Daniel A. Low, Tao Ju
Surface Reconstruction From Non-parallel Curve Networks. Comput. Graph. Forum 27 (2) (2008)
Lu Liu, Tao Ju, Daniel A. Low, Chandrajit Bajaj
Surface network construction from non-parallel cross-sections. SIGGRAPH Posters (2007)
Lu Liu, Tao Ju, Daniel A. Low, Chandrajit Bajaj
Surface network construction from non-parallel cross-sections. SIGGRAPH Sketches (2007)
Chandrajit Bajaj
Manufacturing proteins with biomolecular machines. SIGGRAPH Electronic Art and Animation Catalog (2005)
Xiaoyu Zhang, Chandrajit Bajaj, Vijaya Ramachandran
Parallel and Out-of-core View-dependent Isocontour Visualization Using Random Data Distribution. VisSym (2002)
William J. Blanke, Chandrajit Bajaj
Active Visualization in a Multidisplay Immersive Environment. EGVE (2002)
Chandrajit Bajaj, Steven Cutchin
Web based collaborative visualization of distributed and parallel simulation. PVGS (1999)
Chandrajit Bajaj, Insung Ihm, Gee Bum Koo, Sanghun Park
Parallel Ray Casting of Visible Human on Distributed Memory Architectures. VisSym (1999)
Elisha Sacks, Chandrajit Bajaj
Sliced Configuration Spaces for Curved Planar Bodies. Int. J. Robotics Res. 17 (6) (1998)
Vinod Anupam, Chandrajit Bajaj
SHASTRA-an architecture for development of collaborative applications. WETICE (1993)