Computational Sensing and Information Processing Lab
Computational Imaging and Machine Learning Research group at UCR
United States of America
Pinned Repositories
BASES
Code repository for Blackbox Attacks via Surrogate Ensemble Search (BASES), NeurIPS 2022
codedcam
Coded illumination for improved lensless imaging
context-aware-attacks
Implementation of AAAI 2022 Paper: Context-Aware Transfer Attacks for Object Detection
EBAD
Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023
flatcamRBG-D
code and data for paper Joint Image and Depth Estimation with Mask-Based Lensless Cameras
GMLR
Generative Models for Low Rank Video Representation and Reconstruction
learn-reference-pr
Official implementation of paper: Solving Phase Retrieval with a Learned Reference
MMSFormer
We propose a novel fusion strategy that can effectively fuse information from different modality combinations. We also propose a new model named Multi-Modal Segmentation TransFormer (MMSFormer) that incorporates the proposed fusion strategy to perform multimodal material and semantic segmentation tasks.
Programmable3Dcam
Repository for "A Simple Framework for 3D Lensless Imaging with Programmable Masks," ICCV 2021
task-increment-rank-update
Computational Sensing and Information Processing Lab's Repositories
CSIPlab/EBAD
Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023
CSIPlab/context-aware-attacks
Implementation of AAAI 2022 Paper: Context-Aware Transfer Attacks for Object Detection
CSIPlab/BASES
Code repository for Blackbox Attacks via Surrogate Ensemble Search (BASES), NeurIPS 2022
CSIPlab/GMLR
Generative Models for Low Rank Video Representation and Reconstruction
CSIPlab/flatcamRBG-D
code and data for paper Joint Image and Depth Estimation with Mask-Based Lensless Cameras
CSIPlab/MMSFormer
We propose a novel fusion strategy that can effectively fuse information from different modality combinations. We also propose a new model named Multi-Modal Segmentation TransFormer (MMSFormer) that incorporates the proposed fusion strategy to perform multimodal material and semantic segmentation tasks.
CSIPlab/learn-reference-pr
Official implementation of paper: Solving Phase Retrieval with a Learned Reference
CSIPlab/Programmable3Dcam
Repository for "A Simple Framework for 3D Lensless Imaging with Programmable Masks," ICCV 2021
CSIPlab/task-increment-rank-update
CSIPlab/codedcam
Coded illumination for improved lensless imaging
CSIPlab/learned-coded-diffraction
Codes for Learning to Sense for Coded Diffraction Imaging
CSIPlab/SLUG
CSIPlab/ccd2024
CSIPlab/appgd
CSIPlab/Clustering
CSIPlab/CSIPlab.github.io
CSIPlab/DomainExpansionInverseProblems
CSIPlab/fourier_pr_with_side
CSIPlab/mnist-forgetting