Compositional Boosting for Computing Hierarchical Image Structures. - Tianfu Wu 001; Gui-Song Xia; Song Chun Zhu (CVPR, 2007)

Bayesian Inference for Layer Representation with Mixed Markov Random Field. - Ru-Xin Gao; Tianfu Wu 001; Song Chun Zhu; Nong Sang (EMMCVPR, 2007)

Design sparse features for age estimation using hierarchical face model. - Jin-Li Suo; Tianfu Wu 001; Song Chun Zhu; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (FG, 2008)

Evaluating information contributions of bottom-up and top-down processes. - Xiong Yang; Tianfu Wu 001; Song Chun Zhu (ICCV, 2009)

A stochastic graph grammar for compositional object representation and recognition. - Liang Lin; Tianfu Wu 001; Jake Porway; Zijian Xu 001 (Pattern Recognit., 2009)

Discovering scene categories by information projection and cluster sampling. - Dengxin Dai; Tianfu Wu 001; Song Chun Zhu (CVPR, 2010)

Three-layer Spatial Sparse Coding for Image Classification. - Dengxin Dai; Wen Yang 001; Tianfu Wu 001 (ICPR, 2010)

A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs. - Tianfu Wu 001; Song Chun Zhu (Int. J. Comput. Vis., 2011)

Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. - Bo Li 031; Tianfu Wu 001; Wenze Hu; Mingtao Pei (ACCV (1), 2012)

Tracking Pedestrian with Multi-component Online Deformable Part-Based Model. - Yi Xie 006; Mingtao Pei; Zhao Liu; Tianfu Wu 001 (ACCV (3), 2012)

Learning Global and Reconfigurable Part-Based Models for Object Detection. - Xi Song; Tianfu Wu 001; Yi Xie 006; Yunde Jia (ICME, 2012)

Learning reconfigurable scene representation by tangram model. - Jun Zhu; Tianfu Wu 001; Song-Chun Zhu; Xiaokang Yang 001; Wenjun Zhang 001 (WACV, 2012)

Discriminatively Trained And-Or Tree Models for Object Detection. - Xi Song; Tianfu Wu 001; Yunde Jia; Song-Chun Zhu (CVPR, 2013)

Modeling Occlusion by Discriminative AND-OR Structures. - Bo Li 031; Wenze Hu; Tianfu Wu 001; Song-Chun Zhu (ICCV, 2013)

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. - Bo Li 031; Tianfu Wu 001; Song-Chun Zhu (ECCV (6), 2014)

A global energy optimization framework for 2.1D sketch extraction from monocular images. - Cheng-Chi Yu; Yong-Jin Liu; Matt Tianfu Wu; Kai-Yun Li; Xiaolan Fu (Graph. Model., 2014)

Coupling-and-decoupling: A hierarchical model for occlusion-free object detection. - Bo Li 031; Xi Song; Tianfu Wu 001; Wenze Hu; Mingtao Pei (Pattern Recognit., 2014)

A Restricted Visual Turing Test for Deep Scene and Event Understanding. - Hang Qi 001; Tianfu Wu 001; Mun Wai Lee; Song-Chun Zhu (CoRR, 2015)

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. - Tianfu Wu 001; Bo Li 031; Song-Chun Zhu (CoRR, 2015)

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. - Tianfu Wu 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Face Video Retrieval via Deep Learning of Binary Hash Representations. - Zhen Dong 002; Su Jia; Tianfu Wu 001; Mingtao Pei (AAAI, 2016)

Recognizing Car Fluents from Video. - Bo Li 031; Tianfu Wu 001; Caiming Xiong; Song-Chun Zhu (CVPR, 2016)

Face Detection with End-to-End Integration of a ConvNet and a 3D Model. - Yunzhu Li; Benyuan Sun; Tianfu Wu 001; Yizhou Wang 001 (ECCV (3), 2016)

Recurrent Attentional Model for No-Reference Image Quality Assessment. - Diqi Chen; Yizhou Wang 001; Tianfu Wu 001; Wen Gao 001 (CoRR, 2016)

Face Detection with End-to-End Integration of a ConvNet and a 3D Model. - Yunzhu Li; Benyuan Sun; Tianfu Wu 001; Yizhou Wang 001; Wen Gao 001 (CoRR, 2016)

Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks. - Bo Li 031; Tianfu Wu 001; Shuai Shao; Lun Zhang; Rufeng Chu (CoRR, 2016)

Zero-Shot Learning via Revealing Data Distribution. - Bo Zhao 015; Botong Wu; Tianfu Wu 001; Yizhou Wang 001 (CoRR, 2016)

Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference. - Anlong Ming; Tianfu Wu 001; Jianxiang Ma; Fang Sun; Yu Zhou 016 (IEEE Intell. Syst., 2016)

Deep Learning for Remote Sensing Image Understanding. - Liangpei Zhang 001; Gui-Song Xia; Tianfu Wu 001; Liang Lin; Xue-Cheng Tai (J. Sensors, 2016)

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. - Tianfu Wu 001; Bo Li 031; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Reconfigurable Tangram Model for Scene Representation and Categorization. - Jun Zhu; Tianfu Wu 001; Song-Chun Zhu; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Image Process., 2016)

Zero-Shot Learning Posed as a Missing Data Problem. - Bo Zhao 015; Botong Wu; Tianfu Wu 001; Yizhou Wang 001 (ICCV Workshops, 2017)

Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. - Hang Qi 001; Yuanlu Xu; Tao Yuan; Tianfu Wu 001; Song-Chun Zhu (CoRR, 2017)

Interpretable R-CNN. - Tianfu Wu 001; Xilai Li; Xi Song; Wei Sun 033; Liang Dong; Bo Li 031 (CoRR, 2017)

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. - Xilai Li; Tianfu Wu 001; Xi Song; Hamid Krim (CoRR, 2017)

Online Object Tracking, Learning and Parsing with And-Or Graphs. - Tianfu Wu 001; Yang Lu 006; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Scene-Centric Joint Parsing of Cross-View Videos. - Hang Qi 001; Yuanlu Xu; Tao Yuan; Tianfu Wu 001; Song-Chun Zhu (AAAI, 2018)

Neural Abstract Style Transfer for Chinese Traditional Painting. - Bo Li 031; Caiming Xiong; Tianfu Wu 001; Yu Zhou 016; Lun Zhang; Rufeng Chu (ACCV (2), 2018)

Decision Level Fusion: An Event Driven Approach. - Siddharth Roheda; Hamid Krim; Zhi-Quan Luo; Tianfu Wu 001 (EUSIPCO, 2018)

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. - Zeyuan Chen 001; Shaoliang Nie; Tianfu Wu 001; Christopher G. Healey (CoRR, 2018)

Building an Integrated Mobile Robotic System for Real-Time Applications in Construction. - Khashayar Asadi; Hariharan Ramshankar; Harish Pullagurla; Aishwarya Bhandare; Suraj Shanbhag; Pooja Mehta; Spondon Kundu; Kevin K. Han; Edgar J. Lobaton; Tianfu Wu 001 (CoRR, 2018)

Auto-Context R-CNN. - Bo Li 031; Tianfu Wu 001; Lun Zhang; Rufeng Chu (CoRR, 2018)

Relational Long Short-Term Memory for Video Action Recognition. - Zexi Chen; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (CoRR, 2018)

Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. - Marc Foster; Tarik Agcayazi; M. Talha Agcayazi; Tianfu Wu 001; Margaret Gruen; David L. Roberts 001; Alper Bozkurt (ACI, 2019)

AOGNets: Compositional Grammatical Architectures for Deep Learning. - Xilai Li; Xi Song; Tianfu Wu 001 (CVPR, 2019)

Learning Attraction Field Representation for Robust Line Segment Detection. - Nan Xue 001; Song Bai 001; Fudong Wang 001; Gui-Song Xia; Tianfu Wu 001; Liangpei Zhang 001 (CVPR, 2019)

Image Synthesis From Reconfigurable Layout and Style. - Wei Sun 033; Tianfu Wu 001 (ICCV, 2019)

Towards Interpretable Object Detection by Unfolding Latent Structures. - Tianfu Wu 001; Xi Song (ICCV, 2019)

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. - Xilai Li; Yingbo Zhou; Tianfu Wu 001; Richard Socher; Caiming Xiong (ICML, 2019)

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation. - Wei Sun 033; Tianfu Wu 001 (CoRR, 2019)

Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites. - Khashayar Asadi; Pengyu Chen; Kevin K. Han; Tianfu Wu 001; Edgar J. Lobaton (CoRR, 2019)

Adversarial Distillation for Ordered Top-k Attacks. - Zekun Zhang; Tianfu Wu 001 (CoRR, 2019)

Pose Guided Fashion Image Synthesis Using Deep Generative Model. - Wei Sun 033; Jawadul H. Bappy; Shanglin Yang; Yi Xu; Tianfu Wu 001; Hui Zhou (CoRR, 2019)

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. - Xianglei Xing; Tianfu Wu 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites. - Khashayar Asadi; Pengyu Chen; Kevin K. Han; Tianfu Wu 001; Edgar J. Lobaton (Data, 2019)

Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model. - Zhao Xie; Tianfu Wu 001; Xingming Yang; Luming Zhang; Kewei Wu (J. Vis. Commun. Image Represent., 2019)

Inducing Hierarchical Compositional Model by Sparsifying Generator Network. - Xianglei Xing; Tianfu Wu 001; Song-Chun Zhu; Ying Nian Wu (CVPR, 2020)

Holistically-Attracted Wireframe Parsing. - Nan Xue 001; Tianfu Wu 001; Song Bai 001; Fudong Wang 001; Gui-Song Xia; Liangpei Zhang 001; Philip H. S. Torr (CVPR, 2020)

Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation. - Zekun Zhang; Tianfu Wu 001 (CVPR Workshops, 2020)

Attentive Normalization. - Xilai Li; Wei Sun 033; Tianfu Wu 001 (ECCV (17), 2020)

Local Clustering with Mean Teacher for Semi-supervised learning. - Zexi Chen; Benjamin Dutton; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (ICPR, 2020)

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. - Richeng Jin; Yufan Huang; Xiaofan He; Huaiyu Dai; Tianfu Wu 001 (CoRR, 2020)

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. - Bin Tan; Nan Xue 001; Song Bai 001; Tianfu Wu 001; Gui-Song Xia (ICCV, 2021)

Deep Consensus Learning. - Wei Sun 033; Tianfu Wu 001 (CoRR, 2021)

Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. - Kelvin Cheng 003; Christopher G. Healey; Tianfu Wu 001 (CoRR, 2021)

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation. - Nan Xue 001; Tianfu Wu 001; Zhen Zhang; Gui-Song Xia (CoRR, 2021)

Learning Inception Attention for Image Synthesis and Image Recognition. - Jianghao Shen; Tianfu Wu 001 (CoRR, 2021)

Learning Regional Attraction for Line Segment Detection. - Nan Xue 001; Song Bai 001; Fu-Dong Wang 001; Gui-Song Xia; Tianfu Wu 001; Liangpei Zhang 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Event driven sensor fusion. - Siddharth Roheda; Hamid Krim; Zhi-Quan Luo; Tianfu Wu 001 (Signal Process., 2021)

A Bottom-Up and Top-Down Integration Framework for Online Object Tracking. - Meihui Li; Lingbing Peng; Tianfu Wu 001; Zhenming Peng (IEEE Trans. Multim., 2021)

HoW-3D: Holistic 3D Wireframe Perception from a Single Image. - Wenchao Ma; Bin Tan; Nan Xue 001; Tianfu Wu 001; Xianwei Zheng; Gui-Song Xia (3DV, 2022)

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. - Xianpeng Liu; Nan Xue 001; Tianfu Wu 001 (AAAI, 2022)

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. - Nan Xue 001; Tianfu Wu 001; Gui-Song Xia; Liangpei Zhang 001 (CVPR, 2022)

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. - Bo Jiang; Hamid Krim; Tianfu Wu 001; Derya Cansever (ICIP, 2022)

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. - Priyank Kashyap; Archit Gajjar; Yongjin Choi; Chau-Wai Wong; Dror Baron; Tianfu Wu 001; Chris Cheng; Paul D. Franzon (MLCAD, 2022)

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching. - Kelvin Cheng 003; Tianfu Wu 001; Christopher G. Healey (NeurIPS, 2022)

Learning Patch-to-Cluster Attention in Vision Transformer. - Ryan Grainger; Thomas Paniagua; Xi Song; Tianfu Wu 001 (CoRR, 2022)

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. - Wei Sun 033; Tianfu Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. - Marc Foster; Tianfu Wu 001; David L. Roberts 001; Alper Bozkurt (Sensors, 2022)

Thermal Estimation for 3D-ICs Through Generative Networks. - Priyank Kashyap; Prasanth Prabu Ravichandiran; Lee Wang; Dror Baron; Chau-Wai Wong; Tianfu Wu 001; Paul D. Franzon (3DIC, 2023)

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers. - Ryan Grainger; Thomas Paniagua; Xi Song; Naresh P. Cuntoor; Mun Wai Lee; Tianfu Wu 001 (CVPR, 2023)

Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces. - Yuxi Xiao; Nan Xue 001; Tianfu Wu 001; Gui-Song Xia (CVPR, 2023)

Implicit Bayes Adaptation: A Collaborative Transport Approach. - Bo Jiang; Hamid Krim; Tianfu Wu 001; Derya Cansever (ICASSP, 2023)

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. - Xianpeng Liu; Ce Zheng; Kelvin Cheng 003; Nan Xue 001; Guo-Jun Qi; Tianfu Wu 001 (ICCV, 2023)

CGBA: Curvature-aware Geometric Black-box Attack. - Md Farhamdur Reza; Ali Rahmati; Tianfu Wu 001; Huaiyu Dai (ICCV, 2023)

Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis. - Jianghao Shen; Tianfu Wu 001 (ICIP, 2023)

Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis. - Jianghao Shen; Tianfu Wu 001 (ICIP, 2023)

QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks. - Thomas Paniagua; Ryan Grainger; Tianfu Wu 001 (NeurIPS, 2023)

Volumetric Wireframe Parsing from Neural Attraction Fields. - Nan Xue 001; Bin Tan; Yuxi Xiao; Liang Dong; Gui-Song Xia; Tianfu Wu 001 (CoRR, 2023)

GIFT: Generative Interpretable Fine-Tuning Transformers. - Chinmay Savadikar; Xi Song; Tianfu Wu 001 (CoRR, 2023)

QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks. - Thomas Paniagua; Ryan Grainger; Tianfu Wu 001 (CoRR, 2023)

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. - Bin Tan; Nan Xue 001; Tianfu Wu 001; Gui-Song Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. - Nan Xue 001; Tianfu Wu 001; Song Bai 001; Fu-Dong Wang 001; Gui-Song Xia; Liangpei Zhang 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NEAT: Distilling 3D Wireframes from Neural Attraction Fields. - Nan Xue 001; Bin Tan; Yuxi Xiao; Liang Dong; Gui-Song Xia; Tianfu Wu 001; Yujun Shen (CVPR, 2024)

Multi-View Attentive Contextualization for Multi-View 3D Object Detection. - Xianpeng Liu; Ce Zheng; Ming Qian; Nan Xue 001; Chen Chen 001; Zhebin Zhang; Chen Li; Tianfu Wu 001 (CVPR, 2024)

Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence. - Philip Dai; Kai Yue; Richeng Jin; Matt Tianfu Wu; Kaiqi Xiong (ICC Workshops, 2024)

A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction. - Jianghao Shen; Nan Xue 006; Tianfu Wu 001 (CoRR, 2024)

ScaleLSD: Scalable Deep Line Segment Detection Streamlined. - Zeran Ke; Bin Tan; Xianwei Zheng; Yujun Shen; Tianfu Wu 001; Nan Xue 001 (CVPR, 2025)

GSBAK: top-K Geometric Score-based Black-box Attack. - Md Farhamdur Reza; Richeng Jin; Tianfu Wu 001; Huaiyu Dai (ICLR, 2025)

DiffMesh: A Motion-Aware Diffusion Framework for Human Mesh Recovery from Videos. - Ce Zheng; Xianpeng Liu; Qucheng Peng; Tianfu Wu 001; Pu Wang 001; Chen Chen 001 (WACV, 2025)

Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. - Richeng Jin; Yuding Liu; Yufan Huang; Xiaofan He; Tianfu Wu 001; Huaiyu Dai (IEEE Trans. Neural Networks Learn. Syst., 2025)

GSBAK: top-K Geometric Score-based Black-box Attack. - Md Farhamdur Reza; Richeng Jin; Tianfu Wu 001; Huaiyu Dai (CoRR, 2025)