Search Results for author: Weining Wang

Found 15 papers, 5 papers with code

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

2 code implementations7 Mar 2023 Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu

Experimental results demonstrate that our method achieves new state-of-the-art performance on five challenging benchmarks for video prediction and unconditional video generation: BAIR, RoboNet, KTH, KITTI and UCF101.

Unconditional Video Generation Video Frame Interpolation +1

Beta-Sorted Portfolios

no code implementations23 Aug 2022 Matias D. Cattaneo, Richard K. Crump, Weining Wang

Beta-sorted portfolios -- portfolios comprised of assets with similar covariation to selected risk factors -- are a popular tool in empirical finance to analyze models of (conditional) expected returns.

Policy Choice in Time Series by Empirical Welfare Maximization

no code implementations8 May 2022 Toru Kitagawa, Weining Wang, Mengshan Xu

This paper develops a novel method for policy choice in a dynamic setting where the available data is a multivariate time series.

Time Series Analysis

Learning Disentangled Representation for One-shot Progressive Face Swapping

1 code implementation24 Mar 2022 Qi Li, Weining Wang, Chengzhong Xu, Zhenan Sun

In addition, semantic information is introduced into the semantic-guided fusion module to control the swapped area and model the pose and expression more accurately.

Disentanglement Face Swapping

A semiparametric approach for interactive fixed effects panel data models

no code implementations27 Jan 2022 Georg Keilbar, Juan M. Rodriguez-Poo, Alexandra Soberon, Weining Wang

We derive its asymptotic properties by finding out that the limiting distribution has a discontinuity, depending on the explanatory power of our basis functions which is expressed by the variance of the error of the factor loadings.

Dynamic Network Quantile Regression Model

1 code implementation15 Nov 2021 Xiu Xu, Weining Wang, Yongcheol Shin, Chaowen Zheng

We propose a dynamic network quantile regression model to investigate the quantile connectedness using a predetermined network information.


Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing

no code implementations6 Sep 2021 Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu

Compared with image scene parsing, video scene parsing introduces temporal information, which can effectively improve the consistency and accuracy of prediction.

Scene Parsing

OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation

1 code implementation1 Jul 2021 Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Hanqing Lu, Shiyu Zhou, Jiajun Zhang, Jinqiao Wang

In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross-modal understanding and generation, by jointly modeling visual, text and audio resources.

Audio to Text Retrieval Cross-Modal Retrieval +3

Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network

no code implementations29 Jun 2021 Xingqun Qi, Muyi Sun, Weining Wang, Xiaoxiao Dong, Qi Li, Caifeng Shan

To tackle these challenges, we propose a novel Semantic-Driven Generative Adversarial Network (SDGAN) which embeds global structure-level style injection and local class-level knowledge re-weighting.

Face Parsing Face Sketch Synthesis +1

Learning Network with Focally Sparse Structure

no code implementations16 May 2021 Victor Chernozhukov, Chen Huang, Weining Wang

We uncover the network effect with a flexible sparse deviation from a predetermined adjacency matrix.

Temporal Memory Attention for Video Semantic Segmentation

1 code implementation17 Feb 2021 Hao Wang, Weining Wang, Jing Liu

Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence.

Semantic Segmentation Video Semantic Segmentation

HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering

no code implementations ICCV 2021 Fei Liu, Jing Liu, Weining Wang, Hanqing Lu

Specifically, we present a novel graph memory mechanism to perform relational reasoning, and further develop two types of graph memory: a) visual graph memory that leverages visual information of video for relational reasoning; b) semantic graph memory that is specifically designed to explicitly leverage semantic knowledge contained in the classes and attributes of video objects, and perform relational reasoning in the semantic space.

Question Answering Relational Reasoning +1

AutoCaption: Image Captioning with Neural Architecture Search

no code implementations16 Dec 2020 Xinxin Zhu, Weining Wang, Longteng Guo, Jing Liu

The whole process involves a visual understanding module and a language generation module, which brings more challenges to the design of deep neural networks than other tasks.

Image Captioning Neural Architecture Search +1

Pricing Cryptocurrency Options

no code implementations23 Sep 2020 Ai Jun Hou, Weining Wang, Cathy Y. H. Chen, Wolfgang Karl Härdle

We show how the proposed pricing mechanism underlines the importance of jumps in cryptocurrency markets.

Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model

no code implementations CVPR 2019 Weining Wang, Yan Huang, Liang Wang

Current studies on action detection in untrimmed videos are mostly designed for action classes, where an action is described at word level such as jumping, tumbling, swing, etc.

Action Detection reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.