Tianfu Wu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 81

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

ICCV

Publications

Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu
Multi-View Attentive Contextualization for Multi-View 3D Object Detection. CoRR (2024)
Jianghao Shen, Nan Xue, Tianfu Wu
A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction. CoRR (2024)
Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. CoRR (2023)
Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
Implicit Bayes Adaptation: A Collaborative Transport Approach. CoRR (2023)
Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu
Volumetric Wireframe Parsing from Neural Attraction Fields. CoRR (2023)
Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
Implicit Bayes Adaptation: A Collaborative Transport Approach. ICASSP (2023)
Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
CGBA: Curvature-aware Geometric Black-box Attack. ICCV (2023)
Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. ICCV (2023)
Thomas Paniagua, Ryan Grainger, Tianfu Wu
QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks. NeurIPS (2023)
Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia
fM: Structure from Motion on Neural Level Set of Implicit Surfaces. CVPR (2023)
Ryan Grainger, Thomas Paniagua, Xi Song, Naresh Cuntoor, Mun Wai Lee, Tianfu Wu
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers. CVPR (2023)
Thomas Paniagua, Ryan Grainger, Tianfu Wu
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks. CoRR (2023)
Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
CGBA: Curvature-aware Geometric Black-box Attack. CoRR (2023)
Chinmay Savadikar, Xi Song, Tianfu Wu
GIFT: Generative Interpretable Fine-Tuning Transformers. CoRR (2023)
Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Priyank Kashyap, Prasanth Prabu Ravichandiran, Lee Wang, Dror Baron, Chau-Wai Wong, Tianfu Wu, Paul D. Franzon
Thermal Estimation for 3D-ICs Through Generative Networks. 3DIC (2023)
Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. CoRR (2022)
Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. CVPR (2022)
Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. CoRR (2022)
Xianpeng Liu, Nan Xue, Tianfu Wu
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. AAAI (2022)
Ryan Grainger, Thomas Paniagua, Xi Song, Tianfu Wu
Learning Patch-to-Cluster Attention in Vision Transformer. CoRR (2022)
Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia
HoW-3D: Holistic 3D Wireframe Perception from a Single Image. CoRR (2022)
Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia
fM: Structure from Motion on Neural Level Set of Implicit Surfaces. CoRR (2022)
Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. ICIP (2022)
Wei Sun, Tianfu Wu
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Kelvin Cheng, Tianfu Wu, Christopher G. Healey
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching. NeurIPS (2022)
Marc Foster, Tianfu Wu, David L. Roberts, Alper Bozkurt
Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. Sensors 22 (19) (2022)
Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. CoRR (2022)
Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia
HoW-3D: Holistic 3D Wireframe Perception from a Single Image. 3DV (2022)
Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. CoRR (2021)
Wei Sun, Tianfu Wu
Deep Consensus Learning. CoRR (2021)
Meihui Li, Lingbing Peng, Tianfu Wu, Zhenming Peng
A Bottom-Up and Top-Down Integration Framework for Online Object Tracking. IEEE Trans. Multim. 23 (2021)
Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. ICCV (2021)
Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr
Learning Regional Attraction for Line Segment Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu
Event driven sensor fusion. Signal Process. 188 (2021)
Nan Xue, Tianfu Wu, Zhen Zhang, Gui-Song Xia
Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation. CoRR (2021)
Wei Sun, Tianfu Wu
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. CoRR (2020)
Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
Holistically-Attracted Wireframe Parsing. CVPR (2020)
Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
Holistically-Attracted Wireframe Parsing. CoRR (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR (2020)
Xilai Li, Wei Sun, Tianfu Wu
Attentive Normalization. ECCV (17) (2020)
Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu
Inducing Hierarchical Compositional Model by Sparsifying Generator Network. CVPR (2020)
Zhao Xie, Tianfu Wu, Xingming Yang, Luming Zhang, Kewei Wu
Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model. J. Vis. Commun. Image Represent. 59 (2019)
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML (2019)
Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. CoRR (2019)
Wei Sun, Tianfu Wu
Image Synthesis From Reconfigurable Layout and Style. ICCV (2019)
Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr
Learning Regional Attraction for Line Segment Detection. CoRR (2019)
Wei Sun, Tianfu Wu
Image Synthesis From Reconfigurable Layout and Style. CoRR (2019)
Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou
Pose Guided Fashion Image Synthesis Using Deep Generative Model. CoRR (2019)
Wei Sun, Tianfu Wu
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation. CoRR (2019)
Xilai Li, Wei Sun, Tianfu Wu
Attentive Normalization. CoRR (2019)
Xilai Li, Xi Song, Tianfu Wu
AOGNets: Compositional Grammatical Architectures for Deep Learning. CVPR (2019)
Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
Learning Attraction Field Representation for Robust Line Segment Detection. CVPR (2019)
Tianfu Wu, Xi Song
Towards Interpretable Object Detection by Unfolding Latent Structures. ICCV (2019)
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR (2019)
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Relational Long Short-Term Memory for Video Action Recognition. CoRR (2018)
Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu
Neural Abstract Style Transfer for Chinese Traditional Painting. ACCV (2) (2018)
Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu
Neural Abstract Style Transfer for Chinese Traditional Painting. CoRR (2018)
Bo Li, Tianfu Wu, Lun Zhang, Rufeng Chu
Auto-Context R-CNN. CoRR (2018)
Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
Learning Attraction Field Representation for Robust Line Segment Detection. CoRR (2018)
Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu
Decision Level Fusion: An Event Driven Approach. EUSIPCO (2018)
Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu
Scene-Centric Joint Parsing of Cross-View Videos. AAAI (2018)
Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu
Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. CoRR (2017)
Tianfu Wu, Xilai Li, Xi Song, Wei Sun, Liang Dong, Bo Li
Interpretable R-CNN. CoRR (2017)
Xilai Li, Tianfu Wu, Xi Song, Hamid Krim
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. CoRR (2017)
Tianfu Wu, Yang Lu, Song-Chun Zhu
Online Object Tracking, Learning and Parsing with And-Or Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
Zero-Shot Learning Posed as a Missing Data Problem. ICCV Workshops (2017)
Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai
Deep Learning for Remote Sensing Image Understanding. J. Sensors 2016 (2016)
Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang
A Reconfigurable Tangram Model for Scene Representation and Categorization. IEEE Trans. Image Process. 25 (1) (2016)
Anlong Ming, Tianfu Wu, Jianxiang Ma, Fang Sun, Yu Zhou
Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference. IEEE Intell. Syst. 31 (2) (2016)
Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei
Face Video Retrieval via Deep Learning of Binary Hash Representations. AAAI (2016)
Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu
Recognizing Car Fluents from Video. CVPR (2016)
Diqi Chen, Yizhou Wang, Tianfu Wu, Wen Gao
Recurrent Attentional Model for No-Reference Image Quality Assessment. CoRR (2016)
Tianfu Wu, Bo Li, Song-Chun Zhu
Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang, Wen Gao
Face Detection with End-to-End Integration of a ConvNet and a 3D Model. CoRR (2016)
Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu
Recognizing Car Fluents from Video. CoRR (2016)
Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang
Face Detection with End-to-End Integration of a ConvNet and a 3D Model. ECCV (3) (2016)
Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
Zero-Shot Learning via Revealing Data Distribution. CoRR (2016)
Bo Li, Tianfu Wu, Shuai Shao, Lun Zhang, Rufeng Chu
Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks. CoRR (2016)
Tianfu Wu, Yang Lu, Song-Chun Zhu
Online Object Tracking, Learning and Parsing with And-Or Graphs. CoRR (2015)
Hang Qi, Tianfu Wu, Mun Wai Lee, Song-Chun Zhu
A Restricted Visual Turing Test for Deep Scene and Event Understanding. CoRR (2015)
Tianfu Wu, Bo Li, Song-Chun Zhu
Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. CoRR (2015)
Tianfu Wu, Song-Chun Zhu
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37 (5) (2015)
Bo Li, Xi Song, Tianfu Wu, Wenze Hu, Mingtao Pei
Coupling-and-decoupling: A hierarchical model for occlusion-free object detection. Pattern Recognit. 47 (10) (2014)
Bo Li, Tianfu Wu, Song-Chun Zhu
Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. ECCV (6) (2014)
Yang Lu, Tianfu Wu, Song-Chun Zhu
Online Object Tracking, Learning, and Parsing with And-Or Graphs. CVPR (2014)
Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu
Discriminatively Trained And-Or Tree Models for Object Detection. CVPR (2013)
Tianfu Wu, Song-Chun Zhu
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. ICCV (2013)
Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu
Modeling Occlusion by Discriminative AND-OR Structures. ICCV (2013)
Xi Song, Tianfu Wu, Yi Xie, Yunde Jia
Learning Global and Reconfigurable Part-Based Models for Object Detection. ICME (2012)
Yi Xie, Mingtao Pei, Zhao Liu, Tianfu Wu
Tracking Pedestrian with Multi-component Online Deformable Part-Based Model. ACCV (3) (2012)
Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei
Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. ACCV (1) (2012)
Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang
Learning reconfigurable scene representation by tangram model. WACV (2012)
Tianfu Wu, Song Chun Zhu
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs. Int. J. Comput. Vis. 93 (2) (2011)
Dengxin Dai, Tianfu Wu, Song Chun Zhu
Discovering scene categories by information projection and cluster sampling. CVPR (2010)
Xiong Yang, Tianfu Wu, Song Chun Zhu
Evaluating information contributions of bottom-up and top-down processes. ICCV (2009)
Liang Lin, Tianfu Wu, Jake Porway, Zijian Xu
A stochastic graph grammar for compositional object representation and recognition. Pattern Recognit. 42 (7) (2009)
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Shan, Xilin Chen, Wen Gao
Design sparse features for age estimation using hierarchical face model. FG (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tianfu Wu