Search Results for author:
Found 6 papers, 2 papers with code
Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
Text-driven localized editing of 3D objects is particularly difficult as locally mixing the original 3D object with the intended new object and style effects without distorting the object's form is not a straightforward process.
Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis
While 3D-based GAN techniques have been successfully applied to render photo-realistic 3D images with a variety of attributes while preserving view consistency, there has been little research on how to fine-control 3D images without limiting to a specific category of objects of their properties.
Cross-Modal Alignment Learning of Vision-Language Conceptual Systems
Additionally, we also propose an aligned cross-modal representation learning method that learns semantic representations of visual objects and words in a self-supervised manner based on the cross-modal relational graph networks.
Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports
Conclusions: This tool corrected spelling errors effectively in the absence of a dictionary based on bacterial identification words in bacterial culture and antimicrobial susceptibility reports.
Cultural Vocal Bursts Intensity Prediction
Spelling Correction
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data.
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
The task of multi-image cued story generation, such as visual storytelling dataset (VIST) challenge, is to compose multiple coherent sentences from a given sequence of images.
Ranked #30 on
Visual Storytelling
on VIST
(METEOR metric)
