Search Results for author:
Found 10 papers, 7 papers with code
Machine-generated Text Localization
Machine-Generated Text (MGT) detection aims to identify a piece of text as machine or human written.
Text-to-image Editing by Image Information Removal
Using the input image as a control could mitigate these issues, but since these models are trained via reconstruction, a model can simply hide information about the original image when encoding it to perfectly reconstruct the image without learning the editing task.
Movie Genre Classification by Language Augmentation and Shot Sampling
We evaluate our method on MovieNet and Condensed Movies datasets, achieving approximate 6-9% improvement in mean Average Precision (mAP) over the baselines.
Complex Scene Image Editing by Scene Graph Comprehension
Unlike object detection methods based solely on object category, our method can accurately recognize the target object by comprehending the objects and their semantic relationships within a complex scene.
Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval
Article comprehension is an important challenge in natural language processing with many applications such as article generation or image-to-article retrieval.
Effectively Leveraging Attributes for Visual Similarity
This enables our model to identify that two images contain the same attribute, but can have it deemed irrelevant (e. g., due to fine-grained differences between them) and ignored for measuring similarity between the two images.
VelocityGAN: Data-Driven Full-Waveform Inversion Using Conditional Adversarial Networks
Acoustic- and elastic-waveform inversion is an important and widely used method to reconstruct subsurface velocity image.
``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention
It uses two groups of matrices to capture the factual and stylized knowledge, respectively, and automatically learns the word-level weights of the two groups based on previous context.
"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention
It uses two groups of matrices to capture the factual and stylized knowledge, respectively, and automatically learns the word-level weights of the two groups based on previous context.
Boundary-based Image Forgery Detection by Fast Shallow CNN
In this paper, we substantiate that Fast SCNN can detect drastic change of chroma and saturation.
