Search Results for author:
Found 12 papers, 6 papers with code
Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement
Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.
Diverse Similarity Encoder for Deep GAN Inversion
Current deep generative adversarial networks (GANs) can synthesize high-quality (HQ) images, so learning representation with GANs is favorable.
Brain-Inspired Inference on Missing Video Sequence
By means of integrating different latent variables with learned transformation features, the model could learn more various possible motion modes.
Adaptively Aligned Image Captioning via Adaptive Attention Time
In this paper, we propose a novel attention model, namely Adaptive Attention Time (AAT), to align the source and the target adaptively for image captioning.
Attention on Attention for Image Captioning
In this paper, we propose an Attention on Attention (AoA) module, which extends the conventional attention mechanisms to determine the relevance between attention results and queries.
ParNet: Position-aware Aggregated Relation Network for Image-Text matching
The first step, we call it intra-modal relation mechanism, in which we computes responses between different objects in an image or different words in a sentence separately; The second step, we call it inter-modal relation mechanism, in which the query plays a role of textual context to refine the relationship among object proposals in an image.
Long-Term Video Interpolation with Bidirectional Predictive Network
In this paper, we present a novel deep architecture called bidirectional predictive network (BiPN) that predicts intermediate frames from two opposite directions.
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
We show such setting can preserve more contexts of local features and its evolutions which are beneficial for move prediction.
Video Imagination from a Single Image with Transformation Generation
To overcome those problems, we propose a new framework that produce imaginary videos by transformation generation.
Local Patch Encoding-Based Method for Single Image Super-Resolution
The proposed method consists of a learning stage and a reconstructing stage.
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
This paper instead explores contexts as early as possible and leverages their evolutions for action recognition.
