Search Results for author:
Found 14 papers, 7 papers with code
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification
In this work, we propose a few-shot colorectal tissue image generation method for addressing the scarcity of histopathological training data for rare cancer tissues.
Generative Multiplane Neural Radiance for 3D-Aware Image Generation
We present a method to efficiently generate 3D-aware high-resolution images that are view-consistent across multiple target views.
Person Image Synthesis via Denoising Diffusion Model
In this work, we show how denoising diffusion models can be applied for high-fidelity person image synthesis with strong sample diversity and enhanced mode coverage of the learnt data distribution.
DoodleFormer: Creative Sketch Drawing with Transformers
Creative sketch image generation is a challenging vision problem, where the task is to generate diverse, yet realistic creative sketches possessing the unseen composition of the visual-world objects.
Handwriting Transformers
We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local writing style patterns.
Handwriting Recognition in Low-resource Scripts using Adversarial Learning
Handwritten Word Recognition and Spotting is a challenging field dealing with handwritten text possessing irregular and complex shapes.
A Deep One-Shot Network for Query-based Logo Retrieval
Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.
Improving Document Binarization via Adversarial Noise-Texture Augmentation
By jointly training the two networks we can increase the adversarial robustness of our system.
Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network
In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage.
Staff line Removal using Generative Adversarial Networks
Staff line removal is a crucial pre-processing step in Optical Music Recognition.
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
Our encoder module consists of Convolutional LSTM network, which takes an offline character image as the input and encodes the feature sequence to a hidden representation.
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
We employ a novel convolutional recurrent model architecture in the Generator that efficiently deals with the word images of arbitrary width.
Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network
In this paper, we propose a novel method that involves extraction of local and global features using CNN-LSTM framework and weighting them dynamically for script identification.
Signature Verification Approach using Fusion of Hybrid Texture Features
Finally, a score level classifier fusion method is used to integrate the scores obtained from the two one-class SVMs to achieve the verification score.
