Search Results for author:
Found 14 papers, 5 papers with code
ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
Therefore, we first propose a clue-guided cross-lingual abstractive summarization method to improve the quality of cross-lingual summaries, and then construct a novel hand-written CLS dataset for evaluation.
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks
In this paper, we propose an end-to-end method based on community structure and text features for offensive language detection (CT-OLD).
RDP-Net: Region Detail Preserving Network for Change Detection
Moreover, current NN models are heavy in parameters, which prevents their deployment on edge devices such as drones.
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
With the rapid development of data-driven techniques, data has played an essential role in various computer vision tasks.
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.
Layout-Guided Novel View Synthesis from a Single Indoor Panorama
Then, we leverage the room layout prior, a strong structural constraint of the indoor scene, to guide the generation of target views.
A Theory of Updating Ambiguous Information
We introduce a new updating rule, the conditional maximum likelihood rule (CML) for updating ambiguous information.
Improving adversarial robustness of deep neural networks by using semantic information
The vulnerability of deep neural networks (DNNs) to adversarial attack, which is an attack that can mislead state-of-the-art classifiers into making an incorrect classification with high confidence by deliberately perturbing the original inputs, raises concerns about the robustness of DNNs to such attacks.
Assessing the Impact of COVID-19 on the Objective and Analysis of Oncology Clinical Trials -- Application of the Estimand Framework
We identify key intercurrent events that may occur due to COVID-19 in oncology clinical trials with a focus on time-to-event endpoints and discuss considerations pertaining to the other estimand attributes introduced in the ICH E9 addendum.
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
To this end, we propose a House Plan Generative Model (HPGM) that first translates the language input to a structural graph representation and then predicts the layout of rooms with a Graph Conditioned Layout Prediction Network (GC LPN) and generates the interior texture with a Language Conditioned Texture GAN (LCT-GAN).
Dam Burst: A region-merging-based image segmentation method
Until now, all single level segmentation algorithms except CNN-based ones lead to over segmentation.
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding.
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM).
Optical Flow Estimation Using Laplacian Mesh Energy
In this paper we present a novel non-rigid optical flow algorithm for dense image correspondence and non-rigid registration.
