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Found 13 papers, 6 papers with code
Contextualized Perturbation for Textual Adversarial Attack
Adversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness.
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes
Experimental results on multiple public datasets show that without using 3D ground truth meshes, the proposed approach outperforms the previous state-of-the-art approaches that require ground truth meshes for training.
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
Specifically, we decompose the latent representation of the input sentence to a style code that captures the language style variation and a content code that encodes the language style-independent content.
Domain Adaptive Text Style Transfer
These data may demonstrate domain shift, which impedes the benefits of utilizing such data for training.
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
On the other hand, if part labels are also available in the real-images during training, our method outperforms the supervised state-of-the-art methods by a large margin.
Ranked #1 on
Human Part Segmentation
on PASCAL-Part
(using extra training data)
Deep Kalman Filtering Network for Video Compression Artifact Reduction
In this paper, we model the video artifact reduction task as a Kalman filtering procedure and restore decoded frames through a deep Kalman filtering network.
Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning
By contrasting with human-written captions and image-mismatched captions, the caption generator effectively exploits the inherent characteristics of human languages, and generates more discriminative captions.
Hole Filling with Multiple Reference Views in DIBR View Synthesis
In this paper, we first examine the view interpolation with multiple reference views, demonstrating that the problem of emerging holes in a target virtual view can be greatly alleviated by making good use of other neighboring complementary views in addition to its two (commonly used) most neighboring primary views.
Adversarial Ranking for Language Generation
Rather than training the discriminator to learn and assign absolute binary predicate for individual data sample, the proposed RankGAN is able to analyze and rank a collection of human-written and machine-written sentences by giving a reference group.
Ranked #1 on
Text Generation
on Chinese Poems
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic annotations are vital for training models for object recognition, semantic segmentation or scene understanding.
Macroblock Classification Method for Video Applications Involving Motions
We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame.
Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance
This paper presents a novel approach for automatic recognition of human activities for video surveillance applications.
Group Event Detection with a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications.
