Search Results for author: Tao Wu

Found 32 papers, 12 papers with code

MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation

no code implementations10 Sep 2023 Guoan Xu, Wenjing Jia, Tao Wu, Ligeng Chen

In contrast to the abundant research focusing on large-scale models, the progress in lightweight semantic segmentation appears to be advancing at a comparatively slower pace.

Segmentation Semantic Segmentation

PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow

no code implementations18 Jul 2023 Lin Yuan, Kai Liang, Xiao Pu, Yan Zhang, Jiaxu Leng, Tao Wu, Nannan Wang, Xinbo Gao

This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single lightweight framework.

Privacy Preserving

GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty

no code implementations9 Jul 2023 Tao Wu, Tie Luo, Donald C. Wunsch

Adversarial examples (AE) with good transferability enable practical black-box attacks on diverse target models, where insider knowledge about the target models is not required.

SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation

1 code implementation6 Jun 2023 XueWei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li

Experimental results on Stanford2D3D Panoramic datasets show that SGAT4PASS significantly improves performance and robustness, with approximately a 2% increase in mIoU, and when small 3D disturbances occur in the data, the stability of our performance is improved by an order of magnitude.

Semantic Segmentation

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning

1 code implementation15 Mar 2023 Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei zhang, Yuan Xie, Chengjie Wang

Then we derive two specific attention modules, named SpatialFormer Semantic Attention (SFSA) and SpatialFormer Target Attention (SFTA), to enhance the target object regions while reduce the background distraction.

Few-Shot Learning

Generative Graph Neural Networks for Link Prediction

1 code implementation31 Dec 2022 Xingping Xian, Tao Wu, Xiaoke Ma, Shaojie Qiao, Yabin Shao, Chao Wang, Lin Yuan, Yu Wu

Instead of sampling positive and negative links and heuristically computing the features of their enclosing subgraphs, GraphLP utilizes the feature learning ability of deep-learning models to automatically extract the structural patterns of graphs for link prediction under the assumption that real-world graphs are not locally isolated.

Link Prediction

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information

no code implementations10 Nov 2022 Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang

To assist form designers, in this work we present FormLM to model online forms (by enhancing pre-trained language model with form structural information) and recommend form creation ideas (including question / options recommendations and block type suggestion).

Language Modelling

Learning Deep Representations via Contrastive Learning for Instance Retrieval

no code implementations28 Sep 2022 Tao Wu, Tie Luo, Donald Wunsch

To begin with, we investigate the efficacy of transfer learning in IIR, by comparing off-the-shelf features learned by a pre-trained deep neural network (DNN) classifier with features learned by a CL model.

Contrastive Learning Image Retrieval +2

Interactive Image Synthesis with Panoptic Layout Generation

1 code implementation CVPR 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.

Layout-to-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.

Evolutionary Algorithms Transfer Learning

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

2 code implementations10 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 +2

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 +2

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.

BIG-bench Machine Learning

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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