Area of research
Computer Vision and Pattern Recognition · Computer Graphics and Computer-Aided Design
Research interest
Research interests include Computer science, Artificial intelligence, Computer vision, Vibration, Rendering (computer graphics), and Parallel computing.
On-patient medical record and mRNA therapeutics using intradermal microneedles
FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention
One-Step Diffusion with Distribution Matching Distillation
An amphibious artificial vision system with a panoramic visual field
Differentiable Rendering of Neural SDFs through Reparameterization
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Single-image SVBRDF capture with a rendering-aware deep network
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
What Do Different Evaluation Metrics Tell Us About Saliency Models?
On the Importance of Label Quality for Semantic Segmentation
Inferring Light Fields from Shadows
Optimizing N-dimensional, winograd-based convolution for manycore CPUs
Learning Visual Importance for Graphic Designs and Data Visualizations
Turning Corners into Cameras: Principles and Methods
Motion microscopy for visualizing and quantifying small motions
Video Camera–Based Vibration Measurement for Civil Infrastructure Applications
Where Should Saliency Models Look Next?
Visual Vibrometry: Estimating Material Properties from Small Motions in Video
Modal identification of simple structures with high-speed video using motion magnification
Capturing the human figure through a wall
Reflection removal using ghosting cues
Visual vibrometry: Estimating material properties from small motions in video
Micron-scale light transport decomposition using interferometry
Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain
Riesz pyramids for fast phase-based video magnification
Fast Local Laplacian Filters
Structural Modal Identification Through High Speed Camera Video: Motion Magnification