Tianfu (Matt) Wu

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

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

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

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

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

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

Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks

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

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

SENSORS, 22(19).

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.

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

IEEE TRANSACTIONS ON MULTIMEDIA, 23, 105–119.

Event driven sensor fusion

SIGNAL PROCESSING, 188.

High Speed Receiver Modeling Using Generative Adversarial Networks

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

Learning Regional Attraction for Line Segment Detection

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

Local Clustering with Mean Teacher for Semi-supervised learning

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

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

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

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

INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021).

Holistically-Attracted Wireframe Parsing

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

AOGNets: Compositional Grammatical Architectures for Deep Learning

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

Image Synthesis From Reconfigurable Layout and Style

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

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

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

Learning Attraction Field Representation for Robust Line Segment Detection

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

Neural Abstract Style Transfer for Chinese Traditional Painting

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

Towards Interpretable Object Detection by Unfolding Latent Structures

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

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

Automation in Construction, 96, 470–482.

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

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

Zero-Shot Learning posed as a Missing Data Problem

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

A Reconfigurable Tangram Model for Scene Representation and Categorization

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

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.

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.

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

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

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

Graphical Models, 76(5), 507–521.

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

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

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).

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

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

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).

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).

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.

A stochastic graph grammar for compositional object representation and recognition

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