Search Results for author:
Found 7 papers, 1 papers with code
What Sketch Explainability Really Means for Downstream Tasks
In this paper, we explore the unique modality of sketch for explainability, emphasising the profound impact of human strokes compared to conventional pixel-oriented studies.
SketchINR: A First Look into Sketches as Implicit Neural Representations
(ii) SketchINR's auto-decoder provides a much higher-fidelity representation than other learned vector sketch representations, and is uniquely able to scale to complex vector sketches such as FS-COCO.
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
In this paper, we democratise 3D content creation, enabling precise generation of 3D shapes from abstract sketches while overcoming limitations tied to drawing skills.
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at near-atomic resolution.
A distillation based approach for the diagnosis of diseases
Presently, Covid-19 is a serious threat to the world at large.
RectiNet-v2: A stacked network architecture for document image dewarping
With the advent of mobile and hand-held cameras, document images have found their way into almost every domain.
Ranked #2 on
SSIM
on DocUNet
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
Capturing images of documents is one of the easiest and most used methods of recording them.
Ranked #1 on
SSIM
on DocUNet
