| 2025 | CVPR | ScaleLSD: Scalable Deep Line Segment Detection Streamlined. | Zeran Ke, Bin Tan, Xianwei Zheng, Yujun Shen, Tianfu Wu, Nan Xue |
| 2025 | ICLR | GSBAK: top-K Geometric Score-based Black-box Attack. | Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai |
| 2025 | ICML | Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian. | Thomas Paniagua, Chinmay Savadikar, Tianfu Wu |
| 2025 | ICML | WeGeFT: Weight‑Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models. | Chinmay Savadikar, Xi Song, Tianfu Wu |
| 2025 | ICRA | BEINGS: Bayesian Embodied Image-Goal Navigation With Gaussian Splatting. | Wugang Meng, Tianfu Wu, Huan Yin, Fumin Zhang |
| 2025 | ICRA | Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps. | Tianfu Wu, Jiaqi Fu, Wugang Meng, Sungjin Cho, Huanzhe Zhan, Fumin Zhang |
| 2025 | IECON | Hierarchical Ensemble Based Clustering For Networked Microgrids. | Aditya Joshi, Tianfu Wu, Mo-Yuen Chow |
| 2025 | WACV | DiffMesh: A Motion-Aware Diffusion Framework for Human Mesh Recovery from Videos. | Ce Zheng, Xianpeng Liu, Qucheng Peng, Tianfu Wu, Pu Wang, Chen Chen |
| 2024 | CVPR | NEAT: Distilling 3D Wireframes from Neural Attraction Fields. | Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu, Yujun Shen |
| 2024 | CVPR | Multi-View Attentive Contextualization for Multi-View 3D Object Detection. | Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu |
| 2023 | CVPR | PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers. | Ryan Grainger, Thomas Paniagua, Xi Song, Naresh P. Cuntoor, Mun Wai Lee, Tianfu Wu |
| 2023 | CVPR | Level-S | Yuxi Xiao, Nan Xue, Tianfu Wu, Gui-Song Xia |
| 2023 | ICASSP | Implicit Bayes Adaptation: A Collaborative Transport Approach. | Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever |
| 2023 | ICCV | Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. | Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu |
| 2023 | ICCV | CGBA: Curvature-aware Geometric Black-box Attack. | Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai |
| 2023 | ICIP | Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis. | Jianghao Shen, Tianfu Wu |
| 2023 | ICIP | Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis. | Jianghao Shen, Tianfu Wu |
| 2022 | AAAI | Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. | Xianpeng Liu, Nan Xue, Tianfu Wu |
| 2022 | CVPR | Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. | Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang |
| 2022 | ICIP | Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. | Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever |
| 2021 | ICCV | PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. | Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia |
| 2020 | CVPR | Inducing Hierarchical Compositional Model by Sparsifying Generator Network. | Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu |
| 2020 | CVPR | Holistically-Attracted Wireframe Parsing. | Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr |
| 2020 | CVPR | Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation. | Zekun Zhang, Tianfu Wu |
| 2020 | ECCV | Attentive Normalization. | Xilai Li, Wei Sun, Tianfu Wu |
| 2020 | ICPR | Local Clustering with Mean Teacher for Semi-supervised learning. | Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai |
| 2019 | CVPR | AOGNets: Compositional Grammatical Architectures for Deep Learning. | Xilai Li, Xi Song, Tianfu Wu |
| 2019 | CVPR | Learning Attraction Field Representation for Robust Line Segment Detection. | Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang |
| 2019 | ICCV | Image Synthesis From Reconfigurable Layout and Style. | Wei Sun, Tianfu Wu |
| 2019 | ICCV | Towards Interpretable Object Detection by Unfolding Latent Structures. | Tianfu Wu, Xi Song |
| 2019 | ICML | Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. | Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong |
| 2018 | AAAI | Scene-Centric Joint Parsing of Cross-View Videos. | Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu |
| 2018 | ACCV | Neural Abstract Style Transfer for Chinese Traditional Painting. | Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu |
| 2016 | AAAI | Face Video Retrieval via Deep Learning of Binary Hash Representations. | Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei |
| 2016 | CVPR | Recognizing Car Fluents from Video. | Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu |
| 2016 | ECCV | Face Detection with End-to-End Integration of a ConvNet and a 3D Model. | Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang |
| 2014 | CVPR | Online Object Tracking, Learning, and Parsing with And-Or Graphs. | Yang Lu, Tianfu Wu, Song-Chun Zhu |
| 2014 | ECCV | Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. | Bo Li, Tianfu Wu, Song-Chun Zhu |
| 2013 | CVPR | Discriminatively Trained And-Or Tree Models for Object Detection. | Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu |
| 2013 | ICCV | Modeling Occlusion by Discriminative AND-OR Structures. | Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu |
| 2013 | ICCV | Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. | Tianfu Wu, Song-Chun Zhu |
| 2012 | ACCV | Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. | Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei |
| 2012 | ACCV | Tracking Pedestrian with Multi-component Online Deformable Part-Based Model. | Yi Xie, Mingtao Pei, Zhao Liu, Tianfu Wu |
| 2012 | ICPR | Robust tracking by accounting for hard negatives explicitly. | Peng Lei, Tianfu Wu, Mingtao Pei, Anlong Ming, Zhenyu Yao |
| 2012 | WACV | Learning reconfigurable scene representation by tangram model. | Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang |
| 2010 | CVPR | Discovering scene categories by information projection and cluster sampling. | Dengxin Dai, Tianfu Wu, Song Chun Zhu |
| 2010 | ICPR | Three-layer Spatial Sparse Coding for Image Classification. | Dengxin Dai, Wen Yang, Tianfu Wu |
| 2009 | CVPR | Image parsing with stochastic grammar: The Lotus Hill dataset and inference scheme. | Benjamin Z. Yao, Xiong Yang, Tianfu Wu |
| 2009 | ICCV | Evaluating information contributions of bottom-up and top-down processes. | Xiong Yang, Tianfu Wu, Song Chun Zhu |
| 2008 | ICPR | Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch. | Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lanfang Dong |
| 2008 | ICPR | Deformable template combining alignable and non-alignable sketches. | Linjie Zhang, Haifeng Gong, Tianfu Wu, Junyu Dong |
| 2007 | CVPR | Compositional Boosting for Computing Hierarchical Image Structures. | Tianfu Wu, Gui-Song Xia, Song Chun Zhu |