Tianfu Wu - RankMe

129 papers A* 32A 3B 6Misc 1Journal 72Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian. ICML Thomas Paniagua, Chinmay Savadikar, Tianfu Wu
2025	A	`conf`	DiffMesh: A Motion-Aware Diffusion Framework for Human Mesh Recovery from Videos. WACV Ce Zheng, Xianpeng Liu, Qucheng Peng, Tianfu Wu, Pu Wang, Chen Chen
2025	—	`conf`	Exploratory Analysis of the Regulation of Long Non-Coding RNA Transcription with Nucleotide Large Language Models. BIBM Wei Wang, Zhichao Hou, Tianfu Wu, Xiaorui Liu, Xinxia Peng
2025	J	`jnl`	GSBA CoRR Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai
2025	A*	`conf`	GSBAK: top-K Geometric Score-based Black-box Attack. ICLR Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai
2025	A*	`conf`	ScaleLSD: Scalable Deep Line Segment Detection Streamlined. CVPR Zeran Ke, Bin Tan, Xianwei Zheng, Yujun Shen, Tianfu Wu, Nan Xue
2025	J	`jnl`	ScaleLSD: Scalable Deep Line Segment Detection Streamlined. CoRR Zeran Ke, Bin Tan, Xianwei Zheng, Yujun Shen, Tianfu Wu, Nan Xue
2025	J	`jnl`	Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. IEEE Trans. Neural Networks Learn. Syst. Richeng Jin, Yuding Liu, Yufan Huang, Xiaofan He, Tianfu Wu, Huaiyu Dai
2025	A*	`conf`	WeGeFT: Weight‑Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models. ICML Chinmay Savadikar, Xi Song, Tianfu Wu
2024	J	`jnl`	A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction. CoRR Jianghao Shen, Nan Xue, Tianfu Wu
2024	A*	`conf`	Multi-View Attentive Contextualization for Multi-View 3D Object Detection. CVPR Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu
2024	J	`jnl`	Multi-View Attentive Contextualization for Multi-View 3D Object Detection. CoRR Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu
2024	A*	`conf`	NEAT: Distilling 3D Wireframes from Neural Attraction Fields. CVPR Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu, Yujun Shen
2023	A*	`conf`	CGBA: Curvature-aware Geometric Black-box Attack. ICCV Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
2023	J	`jnl`	CGBA: Curvature-aware Geometric Black-box Attack. CoRR Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
2023	J	`jnl`	GIFT: Generative Interpretable Fine-Tuning Transformers. CoRR Chinmay Savadikar, Xi Song, Tianfu Wu
2023	J	`jnl`	Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
2023	Misc	`conf`	Implicit Bayes Adaptation: A Collaborative Transport Approach. ICASSP Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
2023	J	`jnl`	Implicit Bayes Adaptation: A Collaborative Transport Approach. CoRR Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
2023	B	`conf`	Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis. ICIP Jianghao Shen, Tianfu Wu
2023	B	`conf`	Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis. ICIP Jianghao Shen, Tianfu Wu
2023	J	`jnl`	Learning to Grow Artificial Hippocampi in Vision Transformers for Resilient Lifelong Learning. CoRR Chinmay Savadikar, Michelle Dai, Tianfu Wu
2023	A*	`conf`	Level-S CVPR Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia
2023	A*	`conf`	Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. ICCV Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu
2023	J	`jnl`	Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. CoRR Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu
2023	J	`jnl`	NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia
2023	A*	`conf`	PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers. CVPR Ryan Grainger, Thomas Paniagua, Xi Song, Naresh P. Cuntoor, Mun Wai Lee, Tianfu Wu
2023	A*	`conf`	QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks. NeurIPS Thomas Paniagua, Ryan Grainger, Tianfu Wu
2023	J	`jnl`	QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks. CoRR Thomas Paniagua, Ryan Grainger, Tianfu Wu
2023	—	`conf`	Thermal Estimation for 3D-ICs Through Generative Networks. 3DIC Priyank Kashyap, Prasanth Prabu Ravichandiran, Lee Wang, Dror Baron, Chau-Wai Wong, Tianfu Wu, Paul D. Franzon
2023	J	`jnl`	Volumetric Wireframe Parsing from Neural Attraction Fields. CoRR Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu
2022	—	`conf`	HoW-3D: Holistic 3D Wireframe Perception from a Single Image. 3DV Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia
2022	J	`jnl`	HoW-3D: Holistic 3D Wireframe Perception from a Single Image. CoRR Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia
2022	J	`jnl`	Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. CoRR Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
2022	A*	`conf`	Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. AAAI Xianpeng Liu, Nan Xue, Tianfu Wu
2022	J	`jnl`	Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. Wei Sun, Tianfu Wu
2022	A*	`conf`	Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. CVPR Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang
2022	J	`jnl`	Learning Patch-to-Cluster Attention in Vision Transformer. CoRR Ryan Grainger, Thomas Paniagua, Xi Song, Tianfu Wu
2022	J	`jnl`	Level-S CoRR Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia
2022	J	`jnl`	NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. CoRR Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia
2022	J	`jnl`	Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. Sensors Marc Foster, Tianfu Wu, David L. Roberts, Alper Bozkurt
2022	B	`conf`	Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. ICIP Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
2022	J	`jnl`	Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. CoRR Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever
2022	A*	`conf`	Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching. NeurIPS Kelvin Cheng, Tianfu Wu, Christopher G. Healey
2022	—	`conf`	RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. MLCAD Priyank Kashyap, Archit Gajjar, Yongjin Choi, Chau-Wai Wong, Dror Baron, Tianfu Wu, Chris Cheng, Paul D. Franzon
2021	J	`jnl`	A Bottom-Up and Top-Down Integration Framework for Online Object Tracking. IEEE Trans. Multim. Meihui Li, Lingbing Peng, Tianfu Wu, Zhenming Peng
2021	J	`jnl`	Deep Consensus Learning. CoRR Wei Sun, Tianfu Wu
2021	J	`jnl`	Event driven sensor fusion. Signal Process. Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu
2021	J	`jnl`	Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. CoRR Xianpeng Liu, Nan Xue, Tianfu Wu
2021	J	`jnl`	Learning Inception Attention for Image Synthesis and Image Recognition. CoRR Jianghao Shen, Tianfu Wu
2021	J	`jnl`	Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation. CoRR Nan Xue, Tianfu Wu, Zhen Zhang, Gui-Song Xia
2021	J	`jnl`	Learning Regional Attraction for Line Segment Detection. IEEE Trans. Pattern Anal. Mach. Intell. Nan Xue, Song Bai, Fu-Dong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr
2021	A*	`conf`	PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. ICCV Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
2021	J	`jnl`	PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. CoRR Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
2021	J	`jnl`	Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. CoRR Kelvin Cheng, Christopher G. Healey, Tianfu Wu
2020	—	`conf`	Attentive Normalization. ECCV (17) Xilai Li, Wei Sun, Tianfu Wu
2020	A*	`conf`	Holistically-Attracted Wireframe Parsing. CVPR Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
2020	J	`jnl`	Holistically-Attracted Wireframe Parsing. CoRR Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
2020	A*	`conf`	Inducing Hierarchical Compositional Model by Sparsifying Generator Network. CVPR Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. CoRR Wei Sun, Tianfu Wu
2020	—	`conf`	Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation. CVPR Workshops Zekun Zhang, Tianfu Wu
2020	J	`jnl`	Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2020	B	`conf`	Local Clustering with Mean Teacher for Semi-supervised learning. ICPR Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2020	J	`jnl`	Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. CoRR Richeng Jin, Yufan Huang, Xiaofan He, Huaiyu Dai, Tianfu Wu
2019	A*	`conf`	AOGNets: Compositional Grammatical Architectures for Deep Learning. CVPR Xilai Li, Xi Song, Tianfu Wu
2019	J	`jnl`	Adversarial Distillation for Ordered Top-k Attacks. CoRR Zekun Zhang, Tianfu Wu
2019	J	`jnl`	Attentive Normalization. CoRR Xilai Li, Wei Sun, Tianfu Wu
2019	A*	`conf`	Image Synthesis From Reconfigurable Layout and Style. ICCV Wei Sun, Tianfu Wu
2019	J	`jnl`	Image Synthesis From Reconfigurable Layout and Style. CoRR Wei Sun, Tianfu Wu
2019	J	`jnl`	Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model. J. Vis. Commun. Image Represent. Zhao Xie, Tianfu Wu, Xingming Yang, Luming Zhang, Kewei Wu
2019	J	`jnl`	LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites. Data Khashayar Asadi, Pengyu Chen, Kevin K. Han, Tianfu Wu, Edgar J. Lobaton
2019	A*	`conf`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	A*	`conf`	Learning Attraction Field Representation for Robust Line Segment Detection. CVPR Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
2019	J	`jnl`	Learning Regional Attraction for Line Segment Detection. CoRR Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr
2019	J	`jnl`	Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation. CoRR Wei Sun, Tianfu Wu
2019	J	`jnl`	Pose Guided Fashion Image Synthesis Using Deep Generative Model. CoRR Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou
2019	—	`conf`	Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. ACI Marc Foster, Tarik Agcayazi, M. Talha Agcayazi, Tianfu Wu, Margaret Gruen, David L. Roberts, Alper Bozkurt
2019	J	`jnl`	Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites. CoRR Khashayar Asadi, Pengyu Chen, Kevin K. Han, Tianfu Wu, Edgar J. Lobaton
2019	J	`jnl`	Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. CoRR Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu
2019	A*	`conf`	Towards Interpretable Object Detection by Unfolding Latent Structures. ICCV Tianfu Wu, Xi Song
2018	J	`jnl`	Auto-Context R-CNN. CoRR Bo Li, Tianfu Wu, Lun Zhang, Rufeng Chu
2018	J	`jnl`	Building an Integrated Mobile Robotic System for Real-Time Applications in Construction. CoRR Khashayar Asadi, Hariharan Ramshankar, Harish Pullagurla, Aishwarya Bhandare, Suraj Shanbhag, Pooja Mehta, Spondon Kundu, Kevin K. Han, Edgar J. Lobaton, Tianfu Wu
2018	—	`conf`	Decision Level Fusion: An Event Driven Approach. EUSIPCO Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu
2018	J	`jnl`	High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. CoRR Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
2018	J	`jnl`	Learning Attraction Field Representation for Robust Line Segment Detection. CoRR Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
2018	—	`conf`	Neural Abstract Style Transfer for Chinese Traditional Painting. ACCV (2) Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu
2018	J	`jnl`	Neural Abstract Style Transfer for Chinese Traditional Painting. CoRR Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu
2018	J	`jnl`	Relational Long Short-Term Memory for Video Action Recognition. CoRR Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
2018	A*	`conf`	Scene-Centric Joint Parsing of Cross-View Videos. AAAI Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu
2017	J	`jnl`	AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. CoRR Xilai Li, Tianfu Wu, Xi Song, Hamid Krim
2017	J	`jnl`	Interpretable R-CNN. CoRR Tianfu Wu, Xilai Li, Xi Song, Wei Sun, Liang Dong, Bo Li
2017	J	`jnl`	Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. CoRR Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu
2017	J	`jnl`	Online Object Tracking, Learning and Parsing with And-Or Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Tianfu Wu, Yang Lu, Song-Chun Zhu
2017	—	`conf`	Zero-Shot Learning Posed as a Missing Data Problem. ICCV Workshops Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
2016	J	`jnl`	A Reconfigurable Tangram Model for Scene Representation and Categorization. IEEE Trans. Image Process. Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang
2016	J	`jnl`	Deep Learning for Remote Sensing Image Understanding. J. Sensors Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai
2016	—	`conf`	Face Detection with End-to-End Integration of a ConvNet and a 3D Model. ECCV (3) Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang
2016	J	`jnl`	Face Detection with End-to-End Integration of a ConvNet and a 3D Model. CoRR Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang, Wen Gao
2016	A*	`conf`	Face Video Retrieval via Deep Learning of Binary Hash Representations. AAAI Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei
2016	J	`jnl`	Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Tianfu Wu, Bo Li, Song-Chun Zhu
2016	J	`jnl`	Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference. IEEE Intell. Syst. Anlong Ming, Tianfu Wu, Jianxiang Ma, Fang Sun, Yu Zhou
2016	J	`jnl`	Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks. CoRR Bo Li, Tianfu Wu, Shuai Shao, Lun Zhang, Rufeng Chu
2016	A*	`conf`	Recognizing Car Fluents from Video. CVPR Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu
2016	J	`jnl`	Recognizing Car Fluents from Video. CoRR Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu
2016	J	`jnl`	Recurrent Attentional Model for No-Reference Image Quality Assessment. CoRR Diqi Chen, Yizhou Wang, Tianfu Wu, Wen Gao
2016	J	`jnl`	Zero-Shot Learning via Revealing Data Distribution. CoRR Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
2015	J	`jnl`	A Restricted Visual Turing Test for Deep Scene and Event Understanding. CoRR Hang Qi, Tianfu Wu, Mun Wai Lee, Song-Chun Zhu
2015	J	`jnl`	Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. CoRR Tianfu Wu, Bo Li, Song-Chun Zhu
2015	J	`jnl`	Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Tianfu Wu, Song-Chun Zhu
2015	J	`jnl`	Online Object Tracking, Learning and Parsing with And-Or Graphs. CoRR Tianfu Wu, Yang Lu, Song-Chun Zhu
2014	J	`jnl`	Coupling-and-decoupling: A hierarchical model for occlusion-free object detection. Pattern Recognit. Bo Li, Xi Song, Tianfu Wu, Wenze Hu, Mingtao Pei
2014	—	`conf`	Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. ECCV (6) Bo Li, Tianfu Wu, Song-Chun Zhu
2014	A*	`conf`	Online Object Tracking, Learning, and Parsing with And-Or Graphs. CVPR Yang Lu, Tianfu Wu, Song-Chun Zhu
2013	A*	`conf`	Discriminatively Trained And-Or Tree Models for Object Detection. CVPR Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu
2013	A*	`conf`	Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. ICCV Tianfu Wu, Song-Chun Zhu
2013	A*	`conf`	Modeling Occlusion by Discriminative AND-OR Structures. ICCV Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu
2012	—	`conf`	Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. ACCV (1) Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei
2012	A	`conf`	Learning Global and Reconfigurable Part-Based Models for Object Detection. ICME Xi Song, Tianfu Wu, Yi Xie, Yunde Jia
2012	A	`conf`	Learning reconfigurable scene representation by tangram model. WACV Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang
2012	—	`conf`	Tracking Pedestrian with Multi-component Online Deformable Part-Based Model. ACCV (3) Yi Xie, Mingtao Pei, Zhao Liu, Tianfu Wu
2011	J	`jnl`	A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs. Int. J. Comput. Vis. Tianfu Wu, Song Chun Zhu
2010	A*	`conf`	Discovering scene categories by information projection and cluster sampling. CVPR Dengxin Dai, Tianfu Wu, Song Chun Zhu
2010	B	`conf`	Three-layer Spatial Sparse Coding for Image Classification. ICPR Dengxin Dai, Wen Yang, Tianfu Wu
2009	J	`jnl`	A stochastic graph grammar for compositional object representation and recognition. Pattern Recognit. Liang Lin, Tianfu Wu, Jake Porway, Zijian Xu
2009	A*	`conf`	Evaluating information contributions of bottom-up and top-down processes. ICCV Xiong Yang, Tianfu Wu, Song Chun Zhu
2008	B	`conf`	Design sparse features for age estimation using hierarchical face model. FG Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Shan, Xilin Chen, Wen Gao
2007	—	`conf`	Bayesian Inference for Layer Representation with Mixed Markov Random Field. EMMCVPR Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang
2007	A*	`conf`	Compositional Boosting for Computing Hierarchical Image Structures. CVPR Tianfu Wu, Gui-Song Xia, Song Chun Zhu