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08/31/2023
Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
Motion capture from a limited number of inertial measurement units (IMUs...
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05/08/2023
Anatomically Detailed Simulation of Human Torso
Existing digital human models approximate the human skeletal system usin...
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03/08/2023
FastSurf: Fast Neural RGB-D Surface Reconstruction using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning
We introduce FastSurf, an accelerated neural radiance field (NeRF) frame...
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01/31/2023
NoiseTransfer: Image Noise Generation with Contrastive Embeddings
Deep image denoising networks have achieved impressive success with the ...
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03/28/2022
An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse Precision Matrix Estimation via Scaled Lasso
The sparse precision matrix plays an essential role in the Gaussian grap...
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03/08/2022
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers
We introduce AiD Regen, a novel system that generates 3D wound models co...
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07/24/2021
Cycled Compositional Learning between Images and Text
We present an approach named the Cycled Composition Network that can mea...
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06/17/2021
An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units
Large-scale sparse precision matrix estimation has attracted wide intere...
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07/30/2020
Functionality-Driven Musculature Retargeting
We present a novel retargeting algorithm that transfers the musculature ...
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03/27/2020
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
We present an approach named CurlingNet that can measure the semantic di...
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03/09/2020
Restore from Restored: Video Restoration with Pseudo Clean Video
In this paper, we propose a self-supervised video denoising method calle...
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03/09/2020
Restore from Restored: Single Image Denoising with Pseudo Clean Image
Under certain statistical assumptions of noise (e.g., zero-mean noise), ...
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01/09/2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Under certain statistical assumptions of noise, recent self-supervised a...
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09/30/2019
Analysis of error dependencies on NewHope
Among many submissions to the NIST post-quantum cryptography (PQC) proje...
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05/20/2019