We, at Huawei Noah’s Ark Lab, are looking for interns. Please check out the job description here.

Publications

Comparing Implicit and Denoising Score-Matching Objectives

Score Matching
Theory
Diffusion
NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning
Dec 1, 2024
Artem Artemev, Ayan Das, Farhang Nabiei, Alberto Bernacchia

CreativeSeg: Semantic Segmentation of Creative Sketches

Sketches
Creativity
IEEE Transactions on Image Processing
Mar 18, 2024
Yixiao Zheng, Kaiyue Pang, Ayan Das, Dongliang Chang, Yi-Zhe Song, Zhanyu Ma

Modelling complex vector drawings with stroke-clouds

Generative Models
Sketches
Diffusion
International Conference on Learning Representation (ICLR) 2024
Mar 14, 2024
Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song

Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes

Generative Models
3D
Diffusion
Sketches
Computer Vision & Pattern Recognition (CVPR) 2024
Feb 26, 2024
Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song

Building Diffusion Model’s theory from ground up

Generative Models
Diffusion
Theory
International Conference on Learning Representation (ICLR) BlogPost Track, 2024
Feb 15, 2024
Ayan Das

Score Normalization for a Faster Diffusion Exponential Integrator Sampler

Diffusion
Generative Models
Theory
NeurIPS ’23 Diffusion Model Workshop
Nov 1, 2023
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia

Image generation with Shortest Path Diffusion

Generative Models
Diffusion
Theory
International Conference on Machine Learning (ICML), 2023
Apr 25, 2023
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, FengTing Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia

ChiroDiff: Modelling chirographic data with Diffusion Models

Generative Models
Sketches
Diffusion
International Conference on Learning Representations (ICLR), 2023
Jan 21, 2023
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

SketchODE: Learning neural sketch representation in continuous time

Generative Models
Differential Equations
Sketches
International Conference on Learning Representations (ICLR), 2022
Jan 21, 2022
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Cloud2Curve: Generation and Vectorization of Parametric Sketches

Generative Models
Sketches
Curves
Computer Vision and Pattern Recognition (CVPR), 2021
Mar 1, 2021
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?

Generative Models
Sketches
Creativity
SIGGRAPH Asia, 2020
Jul 30, 2020
Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song

BézierSketch: A generative model for scalable vector sketches

Generative Models
Sketches
Curves
European Conference on Computer Vision (ECCV), 2020
May 22, 2020
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Feature weighting and selection with a Pareto-optimal trade-off between relevancy and redundancy

Evolutionary Computation
Theory
Pattern Recognition Letters (PRL)
Mar 1, 2017
Ayan Das, Swagatam Das

HMM-based Indic handwritten word recognition using zone segmentation

Handwriting
Pattern Recognition (PR)
Dec 1, 2016
Partha Pratim Roy, Ayan Kumar Bhunia, Ayan Das, Prasenjit Dey, Umapada Pal
No matching items
The list above is incomplete

Note that some of my older publications are not listed here. To see an exhaustive list, visit my Google Scholar profile.