Search Results for author: Tao Wu

Found 23 papers, 9 papers with code

Interactive Image Synthesis with Panoptic Layout Generation

1 code implementation4 Mar 2022 Bo wang, Tao Wu, Minfeng Zhu, Peng Du

In particular, the stuff layouts can take amorphous shapes and fill up the missing regions left out by the instance layouts.

Image Generation

Onsite Non-Line-of-Sight Imaging via Online Calibrations

no code implementations29 Dec 2021 Zhengqing Pan, Ruiqian Li, Tian Gao, Zi Wang, Ping Liu, Siyuan Shen, Tao Wu, Jingyi Yu, Shiying Li

There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle.

Self-adaptive Multi-task Particle Swarm Optimization

no code implementations9 Oct 2021 Xiaolong Zheng, Deyun Zhou, Na Li, Yu Lei, Tao Wu, Maoguo Gong

In the focus search strategy, if there is no knowledge source benefit the optimization of a task, then all knowledge sources in the task's pool are forbidden to be utilized except the task, which helps to improve the performance of the proposed algorithm.

Transfer Learning

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

1 code implementation10 Sep 2021 Zhenzhi Wang, LiMin Wang, Tao Wu, TianHao Li, Gangshan Wu

Instead, from a perspective on temporal grounding as a metric-learning problem, we present a Mutual Matching Network (MMN), to directly model the similarity between language queries and video moments in a joint embedding space.

Metric Learning Representation Learning

Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

1 code implementation27 Aug 2020 Scott Graham, Jun-Ki Min, Tao Wu

The purpose of this work is to highlight the content of the Microsoft Recommenders repository and show how it can be used to reduce the time involved in developing recommender systems.

Multi-Domain Recommender Systems

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval

no code implementations7 Aug 2020 Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao

In light of these problems, we observed that most online content platforms have both a search and a recommender system that, while having heterogeneous input spaces, can be connected through their common output item space and a shared semantic representation.

Information Retrieval Recommendation Systems +1

Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning

1 code implementation27 Feb 2020 Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers

Structured convex optimization on weighted graphs finds numerous applications in machine learning and computer vision.

Modeling Information Need of Users in Search Sessions

no code implementations3 Jan 2020 Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal

Users issue queries to Search Engines, and try to find the desired information in the results produced.

Informative GANs via Structured Regularization of Optimal Transport

no code implementations4 Dec 2019 Pierre Bréchet, Tao Wu, Thomas Möllenhoff, Daniel Cremers

We tackle the challenge of disentangled representation learning in generative adversarial networks (GANs) from the perspective of regularized optimal transport (OT).

Representation Learning

Variational Uncalibrated Photometric Stereo under General Lighting

1 code implementation ICCV 2019 Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers

Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable.

Optimization of Inf-Convolution Regularized Nonconvex Composite Problems

no code implementations27 Mar 2019 Emanuel Laude, Tao Wu, Daniel Cremers

In this work, we consider nonconvex composite problems that involve inf-convolution with a Legendre function, which gives rise to an anisotropic generalization of the proximal mapping and Moreau-envelope.

Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform

no code implementations6 Aug 2018 Lingni Ma, Jörg Stückler, Tao Wu, Daniel Cremers

Dense pixelwise prediction such as semantic segmentation is an up-to-date challenge for deep convolutional neural networks (CNNs).

Semantic Segmentation

Network Reconstruction and Controlling Based on Structural Regularity Analysis

no code implementations20 May 2018 Tao Wu, Shaojie Qiao, Xingping Xian, Xi-Zhao Wang, Wei Wang, Yanbing Liu

In addition, the model is capable of measuring the importance of microscopic network elements, i. e., nodes and links, in terms of network regularity thereby allowing us to regulate the reconstructability of networks based on them.

Combinatorial Preconditioners for Proximal Algorithms on Graphs

no code implementations16 Jan 2018 Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers

We present a novel preconditioning technique for proximal optimization methods that relies on graph algorithms to construct effective preconditioners.

LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution

no code implementations4 Jul 2017 Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou

The second one directly recovers the depth, by formulating photometric stereo as a system of PDEs which are partially linearized using image ratios.

A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting

no code implementations CVPR 2017 Yvain Queau, Tao Wu, Francois Lauze, Jean-Denis Durou, Daniel Cremers

This paper tackles the photometric stereo problem in the presence of inaccurate lighting, obtained either by calibration or by an uncalibrated photometric stereo method.

Retrospective Higher-Order Markov Processes for User Trails

1 code implementation20 Apr 2017 Tao Wu, David Gleich

In this paper we propose the retrospective higher-order Markov process (RHOMP) as a low-parameter model for such sequences.

General Tensor Spectral Co-clustering for Higher-Order Data

1 code implementation NeurIPS 2016 Tao Wu, Austin R. Benson, David F. Gleich

Spectral clustering and co-clustering are well-known techniques in data analysis, and recent work has extended spectral clustering to square, symmetric tensors and hypermatrices derived from a network.

Multi-way Monte Carlo Method for Linear Systems

1 code implementation15 Aug 2016 Tao Wu, David F. Gleich

A sufficient condition for the method to work is $\| H \| < 1$, which greatly limits the usability of this method.

Pure Price of Anarchy for Generalized Second Price Auction

no code implementations23 May 2013 Wenkui Ding, Tao Wu, Tao Qin, Tie-Yan Liu

Previous studies have shown that the pure Price Of Anarchy (POA) of GSP is 1. 25 when there are two ad slots and 1. 259 when three ad slots.

Computer Science and Game Theory

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