Tianfu (Matt) Wu

https://orcid.org/0000-0001-8911-5506

Computer Vision, Deep Learning, Trustworthy AI, Statistical Learning and Inference

Works (47)

Updated: December 3rd, 2023 05:00

2023 conference paper

CGBA: Curvature-aware Geometric Black-box Attack

Proceedings of the IEEE/CVF International Conference on Computer Vision, 124–133.

By: M. Reza, A. Rahmati, T. Wu & H. Dai

Source: ORCID
Added: October 11, 2023

2023 journal article

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–17.

By: N. Xue, T. Wu*, S. Bai, F. Wang, G. Xia, L. Zhang, P. Torr

Source: ORCID
Added: October 11, 2023

2023 article

Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces

2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 17205–17214.

By: Y. Xiao*, N. Xue*, T. Wu n & G. Xia*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: ORCID, Web Of Science
Added: August 30, 2023

2023 conference paper

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver

Proceedings of the IEEE/CVF International Conference on Computer Vision, 6436–6446.

By: X. Liu, C. Zheng, K. Cheng, N. Xue, G. Qi & T. Wu

Source: ORCID
Added: October 11, 2023

2023 journal article

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–15.

By: B. Tan, N. Xue, T. Wu* & G. Xia

Source: ORCID
Added: October 11, 2023

2023 conference paper

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

By: R. Grainger*, T. Paniagua*, . Song, N. Cuntoor, M. Lee & T. Wu*

co-author countries: United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
Source: ORCID
Added: August 30, 2023

2023 journal article

QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks

Advances in Neural Information Processing Systems.

By: T. Paniagua, R. Grainger & T. Wu

Source: ORCID
Added: October 11, 2023

2023 article

Thermal Estimation for 3D-ICs through Generative Networks

2023 IEEE INTERNATIONAL 3D SYSTEMS INTEGRATION CONFERENCE, 3DIC.

By: P. Kashyap n, P. Ravichandiran n, L. Wang*, D. Baron n, C. Wong n, T. Wu n, P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: 3DIC; thermal; generative; GAN; hybrid-bonding
Sources: Web Of Science, ORCID
Added: August 14, 2023

2023 article

Volumetric Wireframe Parsing from Neural Attraction Fields

By: N. Xue, B. Tan, Y. Xiao, L. Dong, G. Xia & T. Wu

Source: ORCID
Added: August 30, 2023

2022 article

HoW-3D: Holistic 3DWireframe Perception from a Single Image

2022 INTERNATIONAL CONFERENCE ON 3D VISION, 3DV, pp. 596–605.

By: W. Ma*, B. Tan*, N. Xue*, T. Wu n, X. Zheng* & G. Xia*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: June 5, 2023

2022 journal article

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(9), 5070–5087.

By: W. Sun n & T. Wu n

co-author countries: United States of America 🇺🇸
author keywords: Layout; Image synthesis; Generators; Snow; Task analysis; Training; Fasteners; Image synthesis; layout-to-image; layout-to-mask-to-image; deep generative learning; GAN; ISLA-norm
MeSH headings : Algorithms; Deep Learning; Image Processing, Computer-Assisted / methods
Sources: Web Of Science, ORCID
Added: August 22, 2022

2022 article

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 13055–13064.

By: N. Xue n, T. Wu n, G. Xia* & L. Zhang*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: December 19, 2022

2022 conference paper

Learning auxiliary monocular contexts helps monocular 3D object detection

Proceedings of the AAAI Conference on Artificial Intelligence, 36(2), 1810–1818.

By: X. Liu, N. Xue & T. Wu

Source: ORCID
Added: October 11, 2023

2022 article

Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks

IEEE 72ND ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2022), pp. 1958–1963.

By: P. Kashyap n, Y. Choi*, S. Dey*, D. Baron n, C. Wong n, T. Wu n, C. Cheng*, P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: SerDes; receiver; behavior modeling; adaptive; generative; GAN; DFE; IBIS-AMI
Sources: Web Of Science, ORCID
Added: September 19, 2022

2022 journal article

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs

SENSORS, 22(19).

By: M. Foster n, T. Wu n, D. Roberts n & A. Bozkurt n

co-author countries: United States of America 🇺🇸
author keywords: ECG; heart rate variability; electrodes; machine learning; 3D printing; wearable; drone; UAV; embedded system
MeSH headings : Algorithms; Animals; Dogs; Electrocardiography; Heart Rate; Monitoring, Physiologic; Working Dogs
Sources: Web Of Science, ORCID
Added: October 24, 2022

2022 article

REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC

2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 76–80.

By: B. Jiang n, H. Krim n, T. Wu n & D. Cansever*

co-author countries: United States of America 🇺🇸
author keywords: Self-Supervised learning; Contrastive Learning; Jaccard Index; Non-linearity
Sources: Web Of Science, ORCID
Added: October 23, 2023

2022 journal article

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching

Advances in Neural Information Processing Systems, 35, 16305–16318.

By: K. Cheng, T. Wu & C. Healey

Source: ORCID
Added: October 11, 2023

2022 article

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks

MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD), pp. 167–172.

By: P. Kashyap n, A. Gajjar n, Y. Choi*, C. Wong n, D. Baron n, T. Wu n, C. Cheng*, P. Franzon n

co-author countries: United States of America 🇺🇸

Contributors: P. Kashyap n

author keywords: SerDes; receiver; behavior modeling; adaptive; generative; measurement; GAN; DFE; IBIS-AMI
Sources: Web Of Science, ORCID
Added: October 31, 2022

2021 journal article

A Bottom-Up and Top-Down Integration Framework for Online Object Tracking

IEEE TRANSACTIONS ON MULTIMEDIA, 23, 105–119.

By: M. Li n, L. Peng*, T. Wu n & Z. Peng*

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Target tracking; Correlation; Encoding; Object tracking; Benchmark testing; Visualization; Online object tracking; bottom-up and top-down; graph regularized sparse coding; alternating direction method of multipliers
Sources: Web Of Science, ORCID
Added: January 19, 2021

2021 journal article

Event driven sensor fusion

SIGNAL PROCESSING, 188.

By: S. Roheda n, H. Krim n, Z. Luo* & T. Wu n

co-author countries: United States of America 🇺🇸
author keywords: Sensor fusion; Multi-modal fusion; Event driven classification
Sources: Web Of Science, ORCID
Added: August 23, 2021

2021 article

High Speed Receiver Modeling Using Generative Adversarial Networks

IEEE 30TH CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS (EPEPS 2021).

By: P. Kashyap n, W. Pitts n, D. Baron n, C. Wong n, T. Wu n & P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: eye diagram; IBIS-AMI; generative model; generative adversarial network; GAN; receiver
Sources: Web Of Science, ORCID
Added: March 21, 2022

2021 journal article

Learning Regional Attraction for Line Segment Detection

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 43(6), 1998–2013.

By: N. Xue*, S. Bai*, F. Wang*, G. Xia*, T. Wu n, L. Zhang*, P. Torr*

co-author countries: China 🇨🇳 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
author keywords: Image segmentation; Image edge detection; Detectors; Lattices; Machine learning; Electronic mail; Training; Line segment detection; low-level vision; deep learning
Sources: Web Of Science, ORCID
Added: June 10, 2021

2021 article

Local Clustering with Mean Teacher for Semi-supervised learning

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.

By: Z. Chen n, B. Dutton n, B. Ramachandra n, T. Wu n & R. Vatsavai n

co-author countries: United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: August 30, 2021

2021 article

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), pp. 4166–4175.

By: B. Tan*, N. Xue*, S. Bai*, T. Wu n & G. Xia*

co-author countries: China 🇨🇳 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: July 11, 2022

2021 article

Quantitative Study on Error Sensitivity in Ultrasound Probe Calibration with Hybrid Tracking

INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021).

By: Q. Cai n, T. Wu n, J. Lu, J. Prieto*, A. Rosenbaum*, J. Stringer*, X. Jiang n

co-author countries: United States of America 🇺🇸
author keywords: 3D freehand ultrasound; spatial calibration; error sensitivity
Sources: Web Of Science, ORCID
Added: August 15, 2022

2020 article

Holistically-Attracted Wireframe Parsing

2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 2785–2794.

By: N. Xue n, T. Wu n, S. Bai*, F. Wang*, G. Xia*, L. Zhang*, P. Torr*

co-author countries: China 🇨🇳 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: March 15, 2021

2019 article

AOGNets: Compositional Grammatical Architectures for Deep Learning

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), pp. 6213–6223.

By: X. Li n, . Song n & T. Wu n

co-author countries: United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: July 13, 2020

2019 article

Image Synthesis From Reconfigurable Layout and Style

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), pp. 10530–10539.

By: W. Sun n & T. Wu n

co-author countries: United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: August 10, 2020

2019 journal article

Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 59, 62–75.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Group activity detection and recognition; Casual context; Granger casual topic model
Sources: Web Of Science, ORCID
Added: April 22, 2019

2019 article

Learning Attraction Field Representation for Robust Line Segment Detection

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), pp. 1595–1603.

By: N. Xue n, S. Bai*, F. Wang*, G. Xia*, T. Wu n & L. Zhang*

co-author countries: China 🇨🇳 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: July 13, 2020

2019 article

Neural Abstract Style Transfer for Chinese Traditional Painting

COMPUTER VISION - ACCV 2018, PT II, Vol. 11362, pp. 212–227.

By: B. Li*, C. Xiong*, T. Wu n, Y. Zhou*, L. Zhang* & R. Chu

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Neural style transfer; Chinese traditional painting
Sources: Web Of Science, ORCID
Added: November 11, 2019

2019 article

Towards Interpretable Object Detection by Unfolding Latent Structures

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), pp. 6032–6042.

By: T. Wu n & . Song

co-author countries: United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: August 10, 2020

2018 journal article

Vision-based integrated mobile robotic system for real-time applications in construction

Automation in Construction, 96, 470–482.

By: K. Asadi n, H. Ramshankar n, H. Pullagurla n, A. Bhandare n, S. Shanbhag n, P. Mehta n, S. Kundu n, K. Han n, E. Lobaton n, T. Wu n

co-author countries: United States of America 🇺🇸
author keywords: Real-time integrated robotics; Machine vision; SLAM; Context awareness
Sources: Crossref, ORCID
Added: December 16, 2018

2017 journal article

Online Object Tracking, Learning and Parsing with And-Or Graphs

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 39(12), 2465–2480.

By: T. Wu n, Y. Lu* & S. Zhu*

co-author countries: United States of America 🇺🇸
author keywords: Visual tracking; and-or graph; latent SVM; dynamic programming; intrackability
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 article

Zero-Shot Learning posed as a Missing Data Problem

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), pp. 2616–2622.

By: B. Zhao*, B. Wu*, T. Wu n & Y. Wang*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

A Reconfigurable Tangram Model for Scene Representation and Categorization

IEEE Transactions on Image Processing, 25(1), 150–166.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Tangram model; scene layout; and-or graph; dynamic programming; scene categorization
Sources: Crossref, ORCID
Added: July 20, 2019

2016 article

Face Detection with End-to-End Integration of a ConvNet and a 3D Model

COMPUTER VISION - ECCV 2016, PT III, Vol. 9907, pp. 420–436.

By: Y. Li*, B. Sun*, T. Wu n & Y. Wang*

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Face detection; Face 3D model; ConvNet; Deep learning; Multi-task learning
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(9), 1829–1843.

By: T. Wu*, B. Li* & S. Zhu

co-author countries: China 🇨🇳
author keywords: Car detection; car viewpoint estimation; and-or graph; hierarchical model; context; occlusion modeling
Sources: Crossref, ORCID
Added: July 20, 2019

2015 journal article

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(5), 1013–1027.

By: T. Wu* & S. Zhu

co-author countries: United States of America 🇺🇸
author keywords: Decision policy; cost-sensitive computing; risk minimization; dynamic programming; object detection
Sources: Crossref, ORCID
Added: July 20, 2019

2014 journal article

A global energy optimization framework for 2.1D sketch extraction from monocular images

Graphical Models, 76(5), 507–521.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: 2.1D sketch; Global optimization; Local features; Hybrid differential evolution
Sources: Crossref, ORCID
Added: July 20, 2019

2014 journal article

Coupling-and-decoupling: A hierarchical model for occlusion-free object detection

Pattern Recognition, 47(10), 3254–3264.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Occlusion modeling; Object detection; And-Or graph; Deformable part-based model; Latent structural SVM
Sources: Crossref, ORCID
Added: July 20, 2019

2014 chapter

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model

In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision – ECCV 2014 (pp. 652–667).

By: B. Li*, T. Wu* & S. Zhu*

co-author countries: China 🇨🇳 United States of America 🇺🇸

Ed(s): D. Fleet, T. Pajdla, B. Schiele & T. Tuytelaars

Sources: Crossref, ORCID
Added: August 13, 2021

2014 journal article

Learning mixtures of Bernoulli templates by two-round EM with performance guarantee

Electronic Journal of Statistics, 8(2), 3004–3030.

By: A. Barbu, T. Wu* & Y. Wu

author keywords: Clustering; performance bounds; unsupervised learning
Sources: Crossref, ORCID
Added: July 20, 2019

2013 chapter

Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection

In K. M. Lee, Y. Matsushita, J. M. Rehg, & Z. Hu (Eds.), Computer Vision – ACCV 2012 (pp. 164–175).

By: B. Li*, T. Wu*, W. Hu* & M. Pei*

co-author countries: China 🇨🇳 United States of America 🇺🇸

Ed(s): K. Lee, Y. Matsushita, J. Rehg & Z. Hu*

Sources: Crossref, ORCID
Added: August 13, 2021

2013 chapter

Tracking Pedestrian with Multi-component Online Deformable Part-Based Model

In K. M. Lee, Y. Matsushita, J. M. Rehg, & Z. Hu (Eds.), Computer Vision – ACCV 2012 (pp. 664–676).

By: Y. Xie, M. Pei*, Z. Liu & T. Wu*

co-author countries: China 🇨🇳

Ed(s): K. Lee, Y. Matsushita, J. Rehg & Z. Hu

Sources: Crossref, ORCID
Added: August 13, 2021

2010 journal article

A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs

International Journal of Computer Vision, 93(2), 226–252.

By: T. Wu* & S. Zhu*

co-author countries: United States of America 🇺🇸
author keywords: Bottom-up/Top-down inference; a-beta-gamma process; Information contribution; Hierarchical model; And-Or graph; Object parsing
Sources: Crossref, ORCID
Added: July 20, 2019

2009 journal article

A stochastic graph grammar for compositional object representation and recognition

Pattern Recognition, 42(7), 1297–1307.

By: L. Lin*, T. Wu*, J. Porway* & Z. Xu*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: Crossref, ORCID
Added: July 20, 2019

Employment

Updated: October 10th, 2023 20:06

2016 - present

NC State University Raleigh, NC, US
Assistant/Associate Professor electrical and computer engineering

Education

Updated: September 8th, 2016 22:42

2008 - 2011

University of California Los Angeles Los Angeles, CA, US
Ph.D. Statistics