Tianfu Wu

Orcid: 0000-0001-8911-5506

Affiliations:
  • North Carolina State University, Visual Narrative Cluster, Raleigh, NC, USA
  • University of California at Los Angeles, Department of Statistics, Los Angeles, CA, USA (PhD 2011)


According to our database1, Tianfu Wu authored at least 84 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks.
CoRR, 2023

GIFT: Generative Interpretable Fine-Tuning Transformers.
CoRR, 2023

Volumetric Wireframe Parsing from Neural Attraction Fields.
CoRR, 2023

QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CGBA: Curvature-aware Geometric Black-box Attack.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Implicit Bayes Adaptation: A Collaborative Transport Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023

Level-S<sup>2</sup>fM: Structure from Motion on Neural Level Set of Implicit Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Thermal Estimation for 3D-ICs Through Generative Networks.
Proceedings of the IEEE International 3D Systems Integration Conference, 2023

2022
Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs.
Sensors, 2022

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Patch-to-Cluster Attention in Vision Transformer.
CoRR, 2022

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

HoW-3D: Holistic 3D Wireframe Perception from a Single Image.
Proceedings of the International Conference on 3D Vision, 2022

2021
A Bottom-Up and Top-Down Integration Framework for Online Object Tracking.
IEEE Trans. Multim., 2021

Event driven sensor fusion.
Signal Process., 2021

Learning Regional Attraction for Line Segment Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation.
CoRR, 2021

Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones.
CoRR, 2021

Deep Consensus Learning.
CoRR, 2021

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees.
CoRR, 2020

Local Clustering with Mean Teacher for Semi-supervised learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Attentive Normalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Holistically-Attracted Wireframe Parsing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Inducing Hierarchical Compositional Model by Sparsifying Generator Network.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model.
J. Vis. Commun. Image Represent., 2019

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks.
CoRR, 2019

Pose Guided Fashion Image Synthesis Using Deep Generative Model.
CoRR, 2019

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation.
CoRR, 2019

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Interpretable Object Detection by Unfolding Latent Structures.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Image Synthesis From Reconfigurable Layout and Style.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Attraction Field Representation for Robust Line Segment Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

AOGNets: Compositional Grammatical Architectures for Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Relational Long Short-Term Memory for Video Action Recognition.
CoRR, 2018

Auto-Context R-CNN.
CoRR, 2018

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks.
CoRR, 2018

Decision Level Fusion: An Event Driven Approach.
Proceedings of the 26th European Signal Processing Conference, 2018

Neural Abstract Style Transfer for Chinese Traditional Painting.
Proceedings of the Computer Vision - ACCV 2018, 2018

Scene-Centric Joint Parsing of Cross-View Videos.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Online Object Tracking, Learning and Parsing with And-Or Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition.
CoRR, 2017

Interpretable R-CNN.
CoRR, 2017

Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs.
CoRR, 2017

Zero-Shot Learning Posed as a Missing Data Problem.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
A Reconfigurable Tangram Model for Scene Representation and Categorization.
IEEE Trans. Image Process., 2016

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Deep Learning for Remote Sensing Image Understanding.
J. Sensors, 2016

Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference.
IEEE Intell. Syst., 2016

Zero-Shot Learning via Revealing Data Distribution.
CoRR, 2016

Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks.
CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.
CoRR, 2016

Recurrent Attentional Model for No-Reference Image Quality Assessment.
CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.
Proceedings of the Computer Vision - ECCV 2016, 2016

Recognizing Car Fluents from Video.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Face Video Retrieval via Deep Learning of Binary Hash Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation.
CoRR, 2015

A Restricted Visual Turing Test for Deep Scene and Event Understanding.
CoRR, 2015

2014
Coupling-and-decoupling: A hierarchical model for occlusion-free object detection.
Pattern Recognit., 2014

A global energy optimization framework for 2.1D sketch extraction from monocular images.
Graph. Model., 2014

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Modeling Occlusion by Discriminative AND-OR Structures.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminatively Trained And-Or Tree Models for Object Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Learning reconfigurable scene representation by tangram model.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Learning Global and Reconfigurable Part-Based Models for Object Detection.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Tracking Pedestrian with Multi-component Online Deformable Part-Based Model.
Proceedings of the Computer Vision - ACCV 2012, 2012

Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs.
Int. J. Comput. Vis., 2011

2010
Three-layer Spatial Sparse Coding for Image Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Discovering scene categories by information projection and cluster sampling.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A stochastic graph grammar for compositional object representation and recognition.
Pattern Recognit., 2009

Evaluating information contributions of bottom-up and top-down processes.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Design sparse features for age estimation using hierarchical face model.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Bayesian Inference for Layer Representation with Mixed Markov Random Field.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Compositional Boosting for Computing Hierarchical Image Structures.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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