no code implementations • 10 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.
no code implementations • 18 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.
no code implementations • 9 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.
1 code implementation • 6 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.
Ranked #4 on
Semantic Segmentation
on Stanford2D3D Panoramic
no code implementations • CVPR 2023 • Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, LiMin Wang
STMixer is based on two core designs.
1 code implementation • 15 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.
1 code implementation • 31 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.
no code implementations • 10 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).
no code implementations • 28 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.
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.
Ranked #2 on
Layout-to-Image Generation
on Visual Genome 128x128
no code implementations • 29 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.
no code implementations • 9 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.
2 code implementations • 10 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.
Ranked #3 on
Temporal Sentence Grounding
on Charades-STA
no code implementations • CVPR 2021 • Peixian Hong, Tao Wu, AnCong Wu, Xintong Han, Wei-Shi Zheng
Recently, person re-identification (Re-ID) has achieved great progress.
Ranked #3 on
Person Re-Identification
on PRCC
1 code implementation • 27 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.
no code implementations • 7 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.
no code implementations • 6 May 2020 • Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai
3D moving object detection is one of the most critical tasks in dynamic scene analysis.
1 code implementation • 27 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.
no code implementations • 3 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.
no code implementations • 4 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).
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.
no code implementations • 27 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.
1 code implementation • 31 Jan 2019 • Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers
Probabilistic graphical models are traditionally known for their successes in generative modeling.
no code implementations • 6 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).
no code implementations • 20 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.
no code implementations • 16 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.
no code implementations • 4 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.
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.
1 code implementation • 20 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.
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.
1 code implementation • 15 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.
no code implementations • 23 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