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ORCIDTianfu Wu 0001
Matt Tianfu Wu
Person information
- affiliation: North Carolina State University, Visual Narrative Cluster, Raleigh, NC, USA
- affiliation (PhD 2011): University of California at Los Angeles, Department of Statistics, Los Angeles, CA, USA
Other persons with the same name
- Tianfu Wu — disambiguation page
- Tianfu Wu 0002
![[0000-0003-4406-1449]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4406-1449")
— University of Houston, Houston, TX, USA - Tianfu Wu 0003 — University of California, Los Angeles, USA
- Tianfu Wu 0004 — Beijing University of Posts and Telecommunications, China
- Tianfu Wu 0005 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
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2020 – today
- 2024
[c52]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. CVPR 2024: 16688-16698- [c51]Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu, Yujun Shen:
NEAT: Distilling 3D Wireframes from Neural Attraction Fields. CVPR 2024: 19968-19977 - [c50]Philip Dai, Kai Yue, Richeng Jin, Matt Tianfu Wu, Kaiqi Xiong:
Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence. ICC Workshops 2024: 890-895 - [i50]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 abs/2405.12200 (2024) - [i49]Jianghao Shen, Nan Xue, Tianfu Wu:
A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction. CoRR abs/2405.20310 (2024) - 2023
- [j19]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): 14727-14744 (2023) - [j18]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): 15233-15248 (2023) - [c49]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: 1-4 - [c48]Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia:
Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces. CVPR 2023: 17205-17214 - [c47]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: 18568-18578 - [c46]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Implicit Bayes Adaptation: A Collaborative Transport Approach. ICASSP 2023: 1-5 - [c45]Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai:
CGBA: Curvature-aware Geometric Black-box Attack. ICCV 2023: 124-133 - [c44]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: 6413-6423 - [c43]Jianghao Shen, Tianfu Wu:
Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis. ICIP 2023: 1455-1459 - [c42]Jianghao Shen, Tianfu Wu:
Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis. ICIP 2023: 2855-2859 - [c41]Thomas Paniagua, Ryan Grainger, Tianfu Wu:
QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks. NeurIPS 2023 - [i48]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 abs/2304.01289 (2023) - [i47]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Implicit Bayes Adaptation: A Collaborative Transport Approach. CoRR abs/2304.08298 (2023) - [i46]Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu:
Volumetric Wireframe Parsing from Neural Attraction Fields. CoRR abs/2307.10206 (2023) - [i45]Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai:
CGBA: Curvature-aware Geometric Black-box Attack. CoRR abs/2308.03163 (2023) - [i44]Chinmay Savadikar, Xi Song, Tianfu Wu:
GIFT: Generative Interpretable Fine-Tuning Transformers. CoRR abs/2312.00700 (2023) - [i43]Thomas Paniagua, Ryan Grainger, Tianfu Wu:
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks. CoRR abs/2312.11510 (2023) - 2022
- [j17]Wei Sun, Tianfu Wu:
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5070-5087 (2022) - [j16]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): 7631 (2022) - [c40]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: 596-605 - [c39]Xianpeng Liu, Nan Xue, Tianfu Wu:
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. AAAI 2022: 1810-1818 - [c38]Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang:
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. CVPR 2022: 13055-13064 - [c37]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. ICIP 2022: 76-80 - [c36]Priyank Kashyap, Archit Gajjar, Yongjin Choi, Chau-Wai Wong, Dror Baron, Tianfu Wu, Chris Cheng, Paul D. Franzon:
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. MLCAD 2022: 167-172 - [c35]Kelvin Cheng, Tianfu Wu, Christopher G. Healey:
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching. NeurIPS 2022 - [i42]Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. CoRR abs/2202.12921 (2022) - [i41]Ryan Grainger, Thomas Paniagua, Xi Song, Tianfu Wu:
Learning Patch-to-Cluster Attention in Vision Transformer. CoRR abs/2203.11987 (2022) - [i40]Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia:
HoW-3D: Holistic 3D Wireframe Perception from a Single Image. CoRR abs/2208.06999 (2022) - [i39]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. CoRR abs/2210.12971 (2022) - [i38]Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia:
Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces. CoRR abs/2211.12018 (2022) - [i37]Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia:
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. CoRR abs/2211.16799 (2022) - 2021
- [j15]Nan Xue, Song Bai, Fu-Dong 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): 1998-2013 (2021) - [j14]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu:
Event driven sensor fusion. Signal Process. 188: 108241 (2021) - [j13]Meihui Li, Lingbing Peng, Tianfu Wu, Zhenming Peng:
A Bottom-Up and Top-Down Integration Framework for Online Object Tracking. IEEE Trans. Multim. 23: 105-119 (2021) - [c34]Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia:
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. ICCV 2021: 4166-4175 - [i36]Wei Sun, Tianfu Wu:
Deep Consensus Learning. CoRR abs/2103.08475 (2021) - [i35]Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia:
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. CoRR abs/2107.13108 (2021) - [i34]Kelvin Cheng, Christopher G. Healey, Tianfu Wu:
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. CoRR abs/2108.00335 (2021) - [i33]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 abs/2109.03622 (2021) - [i32]Xianpeng Liu, Nan Xue, Tianfu Wu:
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. CoRR abs/2112.04628 (2021) - [i31]Jianghao Shen, Tianfu Wu:
Learning Inception Attention for Image Synthesis and Image Recognition. CoRR abs/2112.14804 (2021) - 2020
- [c33]Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. CVPR 2020: 2785-2794 - [c32]Zekun Zhang, Tianfu Wu:
Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation. CVPR Workshops 2020: 3364-3373 - [c31]Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Inducing Hierarchical Compositional Model by Sparsifying Generator Network. CVPR 2020: 14284-14293 - [c30]Xilai Li, Wei Sun, Tianfu Wu:
Attentive Normalization. ECCV (17) 2020: 70-87 - [c29]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR 2020: 6243-6250 - [i30]Richeng Jin, Yufan Huang, Xiaofan He, Huaiyu Dai, Tianfu Wu:
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. CoRR abs/2002.10940 (2020) - [i29]Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. CoRR abs/2003.01663 (2020) - [i28]Wei Sun, Tianfu Wu:
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. CoRR abs/2003.11571 (2020) - [i27]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR abs/2004.09665 (2020)
2010 – 2019
- 2019
- [j12]Khashayar Asadi, Pengyu Chen, Kevin K. Han, Tianfu Wu, Edgar J. Lobaton:
LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites. Data 4(1): 40 (2019) - [j11]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: 62-75 (2019) - [c28]Marc Foster, Tarik Agcayazi, M. Talha Agcayazi, Tianfu Wu, Margaret Gruen, David L. Roberts, Alper Bozkurt:
Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. ACI 2019: 16:1-16:5 - [c27]Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. CVPR 2019: 1595-1603 - [c26]Xilai Li, Xi Song, Tianfu Wu:
AOGNets: Compositional Grammatical Architectures for Deep Learning. CVPR 2019: 6220-6230 - [c25]Tianfu Wu, Xi Song:
Towards Interpretable Object Detection by Unfolding Latent Structures. ICCV 2019: 6032-6042 - [c24]Wei Sun, Tianfu Wu:
Image Synthesis From Reconfigurable Layout and Style. ICCV 2019: 10530-10539 - [c23]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML 2019: 3925-3934 - [i26]Wei Sun, Tianfu Wu:
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation. CoRR abs/1901.06322 (2019) - [i25]Khashayar Asadi, Pengyu Chen, Kevin K. Han, Tianfu Wu, Edgar J. Lobaton:
Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites. CoRR abs/1901.08630 (2019) - [i24]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR abs/1904.00310 (2019) - [i23]Zekun Zhang, Tianfu Wu:
Adversarial Distillation for Ordered Top-k Attacks. CoRR abs/1905.10695 (2019) - [i22]Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou:
Pose Guided Fashion Image Synthesis Using Deep Generative Model. CoRR abs/1906.07251 (2019) - [i21]Xilai Li, Wei Sun, Tianfu Wu:
Attentive Normalization. CoRR abs/1908.01259 (2019) - [i20]Wei Sun, Tianfu Wu:
Image Synthesis From Reconfigurable Layout and Style. CoRR abs/1908.07500 (2019) - [i19]Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. CoRR abs/1909.04324 (2019) - [i18]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 abs/1912.09344 (2019) - 2018
- [c22]Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu:
Scene-Centric Joint Parsing of Cross-View Videos. AAAI 2018: 7292-7299 - [c21]Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu:
Neural Abstract Style Transfer for Chinese Traditional Painting. ACCV (2) 2018: 212-227 - [c20]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu:
Decision Level Fusion: An Event Driven Approach. EUSIPCO 2018: 2598-2602 - [i17]Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey:
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. CoRR abs/1801.07632 (2018) - [i16]Khashayar Asadi, Hariharan Ramshankar, Harish Pullagurla, Aishwarya Bhandare, Suraj Shanbhag, Pooja Mehta, Spondon Kundu, Kevin K. Han, Edgar J. Lobaton, Tianfu Wu:
Building an Integrated Mobile Robotic System for Real-Time Applications in Construction. CoRR abs/1803.01745 (2018) - [i15]Bo Li, Tianfu Wu, Lun Zhang, Rufeng Chu:
Auto-Context R-CNN. CoRR abs/1807.02842 (2018) - [i14]Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Relational Long Short-Term Memory for Video Action Recognition. CoRR abs/1811.07059 (2018) - [i13]Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. CoRR abs/1812.02122 (2018) - [i12]Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu:
Neural Abstract Style Transfer for Chinese Traditional Painting. CoRR abs/1812.03264 (2018) - 2017
- [j10]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): 2465-2480 (2017) - [c19]Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang:
Zero-Shot Learning Posed as a Missing Data Problem. ICCV Workshops 2017: 2616-2622 - [i11]Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu:
Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. CoRR abs/1709.05436 (2017) - [i10]Tianfu Wu, Xilai Li, Xi Song, Wei Sun, Liang Dong, Bo Li:
Interpretable R-CNN. CoRR abs/1711.05226 (2017) - [i9]Xilai Li, Tianfu Wu, Xi Song, Hamid Krim:
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. CoRR abs/1711.05847 (2017) - 2016
- [j9]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): 54-65 (2016) - [j8]Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai:
Deep Learning for Remote Sensing Image Understanding. J. Sensors 2016: 7954154:1-7954154:2 (2016) - [j7]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): 1829-1843 (2016) - [j6]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): 150-166 (2016) - [c18]Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei:
Face Video Retrieval via Deep Learning of Binary Hash Representations. AAAI 2016: 3471-3477 - [c17]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CVPR 2016: 3803-3812 - [c16]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: 420-436 - [i8]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CoRR abs/1603.08067 (2016) - [i7]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 abs/1606.00850 (2016) - [i6]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 abs/1612.00534 (2016) - [i5]Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang:
Zero-Shot Learning via Revealing Data Distribution. CoRR abs/1612.00560 (2016) - [i4]Diqi Chen, Yizhou Wang, Tianfu Wu, Wen Gao:
Recurrent Attentional Model for No-Reference Image Quality Assessment. CoRR abs/1612.03530 (2016) - 2015
- [j5]Tianfu Wu, Song-Chun Zhu:
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1013-1027 (2015) - [i3]Tianfu Wu, Bo Li, Song-Chun Zhu:
Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. CoRR abs/1501.07359 (2015) - [i2]Tianfu Wu, Yang Lu, Song-Chun Zhu:
Online Object Tracking, Learning and Parsing with And-Or Graphs. CoRR abs/1509.08067 (2015) - [i1]Hang Qi, Tianfu Wu, Mun Wai Lee, Song-Chun Zhu:
A Restricted Visual Turing Test for Deep Scene and Event Understanding. CoRR abs/1512.01715 (2015) - 2014
- [j4]Cheng-Chi Yu, Yong-Jin Liu, Matt Tianfu Wu, Kai-Yun Li, Xiaolan Fu:
A global energy optimization framework for 2.1D sketch extraction from monocular images. Graph. Model. 76(5): 507-521 (2014) - [j3]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): 3254-3264 (2014) - [c15]Yang Lu, Tianfu Wu, Song-Chun Zhu:
Online Object Tracking, Learning, and Parsing with And-Or Graphs. CVPR 2014: 3462-3469 - [c14]Bo Li, Tianfu Wu, Song-Chun Zhu:
Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. ECCV (6) 2014: 652-667 - 2013
- [c13]Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu:
Discriminatively Trained And-Or Tree Models for Object Detection. CVPR 2013: 3278-3285 - [c12]Tianfu Wu, Song-Chun Zhu:
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. ICCV 2013: 753-760 - [c11]Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu:
Modeling Occlusion by Discriminative AND-OR Structures. ICCV 2013: 2560-2567 - 2012
- [c10]Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei:
Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. ACCV (1) 2012: 164-175 - [c9]Yi Xie, Mingtao Pei, Zhao Liu, Tianfu Wu:
Tracking Pedestrian with Multi-component Online Deformable Part-Based Model. ACCV (3) 2012: 664-676 - [c8]Xi Song, Tianfu Wu, Yi Xie, Yunde Jia:
Learning Global and Reconfigurable Part-Based Models for Object Detection. ICME 2012: 13-18 - [c7]Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang:
Learning reconfigurable scene representation by tangram model. WACV 2012: 449-456 - 2011
- [j2]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): 226-252 (2011) - 2010
- [c6]Dengxin Dai, Tianfu Wu, Song Chun Zhu:
Discovering scene categories by information projection and cluster sampling. CVPR 2010: 3455-3462 - [c5]Dengxin Dai, Wen Yang, Tianfu Wu:
Three-layer Spatial Sparse Coding for Image Classification. ICPR 2010: 613-616
2000 – 2009
- 2009
- [j1]Liang Lin, Tianfu Wu, Jake Porway, Zijian Xu:
A stochastic graph grammar for compositional object representation and recognition. Pattern Recognit. 42(7): 1297-1307 (2009) - [c4]Xiong Yang, Tianfu Wu, Song Chun Zhu:
Evaluating information contributions of bottom-up and top-down processes. ICCV 2009: 1042-1049 - 2008
- [c3]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: 1-6 - 2007
- [c2]Tianfu Wu, Gui-Song Xia, Song Chun Zhu:
Compositional Boosting for Computing Hierarchical Image Structures. CVPR 2007 - [c1]Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang:
Bayesian Inference for Layer Representation with Mixed Markov Random Field. EMMCVPR 2007: 213-224
Coauthor Index
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