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Found 18 papers, 2 papers with code
Dual-Personalizing Adapter for Federated Foundation Models
To address challenges in this new setting, we explore a simple yet effective solution to learn a comprehensive foundation model.
FAST: Font-Agnostic Scene Text Editing
However, most of the existing STE methods show inferior editing performance because of (1) complex image backgrounds, (2) various font styles, and (3) varying word lengths within the text.
MMC: Multi-Modal Colorization of Images using Textual Descriptions
Handling various objects with different colors is a significant challenge for image colorization techniques.
Global Context-Aware Person Image Generation
The proposed strategy enables us to synthesize semantically coherent realistic persons that can blend into an existing scene without altering the global context.
TIPS: Text-Induced Pose Synthesis
In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that person.
Scene Aware Person Image Generation through Global Contextual Conditioning
Finally, the target image is generated from the refined skeleton using another generative network conditioned on a given image of the target person.
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video
The proposed method fuses gradient magnitude and direction coherence of text pixels in a new way for detecting candidate regions.
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two vectors using the inner product operation and minimize the mean square error, which are both suboptimal when there are non-Gaussian noises or outliers in the observation data.
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
Traditional tensor decomposition methods, e. g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are sensitive to outliers.
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Particularly, it is a set of kernel sizes that can efficiently cover the best RF size across different datasets via consisting of multiple prime numbers according to the length of the time series.
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly.
Temporal Self-Attention Network for Medical Concept Embedding
In this paper, we propose a medical concept embedding method based on applying a self-attention mechanism to represent each medical concept.
FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition
Scene text recognition has recently been widely treated as a sequence-to-sequence prediction problem, where traditional fully-connected-LSTM (FC-LSTM) has played a critical role.
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval
Finally, three distance measures were used to match a query signature with the signature present in target documents for retrieval.
Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models
Understanding underlying dynamics and behavior of crowd is becoming areas of interest for most of computer scientists.
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
In this paper, we study some handcrafted features and auto-derived features extracted from intra-variable writing.
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?
A novel chord bunch walks (CBW) descriptor is developed through the chord walking that effectively integrates the shape image function over the walked chord to reflect the contour features and the inner properties of the shape.
