Publications

Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo (2024). SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. Computer Vision and Pattern Recognition (CVPR) 2024.

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Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu (2024). RegionGPT: Towards Region Understanding Vision Language Model. Computer Vision and Pattern Recognition (CVPR) 2024.

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Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Perez-Rua (2024). GenTron: Diffusion Transformers for Image and Video Generation. Computer Vision and Pattern Recognition (CVPR) 2024.

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Anran Liu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Zhiyang Dou, Hao-Xiang Guo, Ping Luo, Wenping Wang (2024). Part123: Part-aware 3D Reconstruction from a Single-view Image. SIGGRAPH 2024.

Zhouxia Wang, Ziyang Yuan, Xintao Wang, Tianshui Chen, Menghan Xia, Ping Luo, Ying Shan (2024). MotionCtrl: A Unified and Flexible Motion Controller for Video Generation. SIGGRAPH 2024.

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Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding (2024). Vdt: General-purpose video diffusion transformers via mask modeling. International Conference on Learning Representation (ICLR) 2024.

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Junsong Chen, Jincheng YU, Chongjian GE, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li (2024). PixArt-alpha: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. International Conference on Learning Representation (ICLR) 2024.

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Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo (2024). OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. International Conference on Learning Representation (ICLR) 2024.

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Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai (2023). Visionllm: Large language model is also an open-ended decoder for vision-centric tasks. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.

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Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo (2023). Raphael: Text-to-image generation via large mixture of diffusion paths. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.

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Wenqi Shao, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo (2023). Foundation Model is Efficient Multimodal Multitask Model Selector. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.

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Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie (2023). Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.

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Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo (2023). Embodiedgpt: Vision-language pre-training via embodied chain of thought. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.

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Shoufa Chen, Peize Sun, Yibing Song, Ping Luo (2023). Diffusiondet: Diffusion model for object detection. International Conferenceon Computer Vision (ICCV) 2023.

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Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo (2023). pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation. International Conference on Machine Learning (ICML) 2023.

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Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo (2023). Chipformer: Transferable chip placement via offline decision transformer. International Conference on Machine Learning (ICML) 2023.

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Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong (2022). Compression of Generative Pre-trained Language Models via Quantization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022 Outstanding Paper Award.

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Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo (2022). VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. International Conference on Machine Learning (ICML) 2022.

Xiaoyu Chen, Yao Mu, Ping Luo, Shengbo Li, Jianyu Chen (2022). Flow-based Recurrent Belief State Learning for POMDPs. International Conference on Machine Learning (ICML) 2022.

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Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo (2022). CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. International Conference on Machine Learning (ICML) 2022.

Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo (2022). Scale-Equivalent Distillation for Semi-Supervised Object Detection. Computer Vision and Pattern Recognition (CVPR) 2022.

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Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, Ping Luo (2022). RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs. Computer Vision and Pattern Recognition (CVPR) 2022.

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Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo (2022). Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. Computer Vision and Pattern Recognition (CVPR) 2022.

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Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang (2022). Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer. Computer Vision and Pattern Recognition (CVPR) 2022 (Oral).

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Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo (2022). Language as Queries for Referring Video Object Segmentation. Computer Vision and Pattern Recognition (CVPR) 2022.

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Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo (2022). DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. Computer Vision and Pattern Recognition (CVPR) 2022.

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Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo (2022). Bridging Video-text Retrieval with Multiple Choice Questions. Computer Vision and Pattern Recognition (CVPR) 2022 (Oral).

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Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu (2022). Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.

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Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang (2022). Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization. International Conference on Learning Representation (ICLR) 2022.

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Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu (2022). Objects in Semantic Topology. International Conference on Learning Representation (ICLR) 2022.

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Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo (2022). Learning Versatile Neural Architectures by Propagating Network Codes. International Conference on Learning Representation (ICLR) 2022.

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Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo (2022). Dynamic Token Normalization improves Vision Transformers. International Conference on Learning Representation (ICLR) 2022.

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Shoufa Chen, Enze Xie, Chongjian GE, Runjian Chen, Ding Liang, Ping Luo (2022). CycleMLP: A MLP-like Architecture for Dense Prediction. International Conference on Learning Representation (ICLR) 2022 (Oral).

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Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo (2022). Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.

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Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, Ping Luo (2021). Watch Only Once: An End-to-End Video Action Detection Framework. International Conferenceon Computer Vision (ICCV) 2021.

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Zhaoyang Zhang, Yitong Jiang, Jun Jiang, Xiaogang Wang, Ping Luo, Jinwei Gu (2021). STAR: A Semantic-aware Transformer for Real-time Image Enhancement. International Conferenceon Computer Vision (ICCV) 2021.

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Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo (2021). SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

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Chongjian GE, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo (2021). Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo (2021). Rethinking the Pruning Criteria for Convolutional Neural Network. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

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Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao (2021). Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. International Conferenceon Computer Vision (ICCV) 2021 Oral.

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Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Eben Li, Chongjie Zhang, Jianye HAO (2021). Model-Based Reinforcement Learning via Imagination with Derived Memory. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo (2021). End-to-End Dense Video Captioning with Parallel Decoding. International Conferenceon Computer Vision (ICCV) 2021.

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Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan (2021). Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo (2021). DetCo: Unsupervised Contrastive Learning for Object Detection. International Conferenceon Computer Vision (ICCV) 2021.

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Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo (2021). Compressed Video Contrastive Learning. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

Wei Shang, Dongwei Ren, Dongqing Zou, Jimmy S. Ren, Ping Luo, Wangmeng Zuo (2021). Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames. International Conferenceon Computer Vision (ICCV) 2021.

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Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah (2021). An Empirical Investigation of Representation Learning for Imitation. Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS) 2021.

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Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li (2021). Adversarial Robustness for Unsupervised Domain Adaptation. International Conferenceon Computer Vision (ICCV) 2021.

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Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo (2021). RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

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Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang (2021). Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. Proc. of Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2021.

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Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo (2021). When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks. Computer Vision and Pattern Recognition (CVPR) 2021.

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Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo (2021). What Makes for End-to-End Object Detection?. International Conference on Machine Learning (ICML), 2021.

Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui (2021). VPIPE: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. IEEE Transactions on Parallel and Distributed Systems (TPDS) 2021.

Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang (2021). ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. Computer Vision and Pattern Recognition (CVPR) 2021.

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Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo (2021). Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. Computer Vision and Pattern Recognition (CVPR) 2021.

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Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo (2021). Segmenting Transparent Objects in the Wild with Transformer. International Joint Conference on Artificial Intelligence (IJCAI) 2021.

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Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo (2021). PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

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Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo (2021). Parser-Free Virtual Try-On via Distilling Appearance Flows. Computer Vision and Pattern Recognition (CVPR) 2021.

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Yuanfeng Ji, Lingyun Wu, Zhiqiang Hu, Shaoting Zhang, Ping Luo (2021). Multi-Compound Transformer for Accurate Biomedical Image Segmentation. Proc. of Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2021.

Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo (2021). HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. Computer Vision and Pattern Recognition (CVPR) 2021.

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Y. Gao, Z. Kuang, G Li, P. Luo, Y. Chen, L. Lin, W. Zhang (2021). Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

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Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo (2021). Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs. International Conference on Learning Representations (ICLR) Oral, 2021.

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Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo (2021). Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On. Computer Vision and Pattern Recognition (CVPR) 2021.

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Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo (2021). Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. International Conference on Machine Learning (ICML), 2021.

Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi (2021). A Unified Multi-Scenario Attacking Network for Visual Object Tracking. AAAI Conference on Artificial Intelligence (AAAI) 2021.

**Ping Luo**, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li (2020). Switchable Normalization for Learning-to-Normalize Deep Representation. IEEE transactions on pattern analysis and machine intelligence (TPAMI) 2020.

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Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo (2020). UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. Proc. of Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2020.

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Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo (2020). Whole-Body Human Pose Estimation in the Wild. European Conference on Computer Vision (ECCV) 2020.

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Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo (2020). Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

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Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo (2020). Segmenting Transparent Objects in the Wild. European Conference on Computer Vision (ECCV) 2020.

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Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo (2020). Polarmask: Single shot instance segmentation with polar representation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

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Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo (2020). Online Knowledge Distillation via Collaborative Learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo (2020). Maskgan: Towards diverse and interactive facial image manipulation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

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Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo (2020). Learning depth-guided convolutions for monocular 3d object detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR) 2020.

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Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy Ren (2020). Learning a Reinforced Agent for Flexible Exposure Bracketing Selection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

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Sheng Zhou, Xinjiang Wang, Wenjie Li, Litong Feng, Ping Luo (2020). How Does BN Increase Collapsed Neural Network Filters?. arXiv preprint arXiv:2001.11216.

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Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo (2020). Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation. European Conference on Computer Vision (ECCV) 2020.

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Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo (2020). Exemplar Normalization for Learning Deep Representation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo (2020). Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.. AAAI Conference on Artificial Intelligence (AAAI).

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An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo (2020). Domain-Adaptive Few-Shot Learning. arXiv preprint arXiv:2003.08626.

Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo (2020). Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation. European Conference on Computer Vision (ECCV) 2020.

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Zhongzhan Huang, Xinjiang Wang, Ping Luo (2020). Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. Preprint Paper, arXiv preprint arXiv:2004.11627.

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Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo (2020). Channel equilibrium networks for learning deep representation. International Conference on Machine Learning (ICML) 2020.

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Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo (2020). AdaX: Adaptive Gradient Descent with Exponential Long Term Memory. arXiv preprint arXiv:2004.09740.

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Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang (2020). 3D Human Mesh Regression with Dense Correspondence. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

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Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, **Ping Luo** (2019). CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. International Conference in Computer Vision (ICCV).

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Zhanghui Kuang, Yiming Gao, Guanbin Li, **Ping Luo**, Yimin Chen, Liang Lin, Wayne Zhang (2019). Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. International Conference in Computer Vision (ICCV) 2019.

Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, **Ping Luo** (2019). Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. International Conference in Computer Vision (ICCV).

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Jiangfan Han, **Ping Luo**, Xiaogang Wang (2019). Deep Self-Learning From Noisy Labels. International Conference in Computer Vision (ICCV).

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Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, **Ping Luo**, Xiaogang Wang (2019). Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. International Conference in Computer Vision (ICCV).

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Hang Zhou, Ziwei Liu, Xudong Xu, **Ping Luo**, Xiaogang Wang (2019). Vision-Infused Deep Audio Inpainting. International Conference in Computer Vision (ICCV).

Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, **Ping Luo** (2019). Switchable Whitening for Deep Representation Learning. International Conference in Computer Vision (ICCV).

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**Ping Luo**, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu (2019). Differentiable Dynamic Normalization for Learning Deep Representation. Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR 97:4203-4211.

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Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng (2019). Towards Understanding Regularization in Batch Normalization. International Conference on Learning Representation (ICLR).

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Liang Lin, Dongyu Zhou, Ping Luo, Wangmeng Zuo (2019). Human Centric Visual Analysis with Deep Learning. Springer; 1st ed. 2019 edition.

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Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang (2019). Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?. arXiv preprint arXiv:1811.07727.

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Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li (2019). Differentiable learning-to-normalize via switchable normalization. International Conference on Learning Representation (ICLR).

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Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo (2019). DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. Computer Vision and Pattern Recognition (CVPR).

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Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang (2018). Two at once: Enhancing learning and generalization capacities via ibn-net. Proceedings of the European Conference on Computer Vision (ECCV).

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Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei Zhang (2018). Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. ACM MM.

Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang (2018). Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. AAAI Conference on Artificial Intelligence (AAAI), Oral.

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Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang (2018). Spatial as deep: Spatial cnn for traffic scene understanding. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

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Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo (2018). Scheduling Large-scale Distributed Training via Reinforcement Learning. 2018 IEEE International Conference on Big Data (Big Data).

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Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang (2018). SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification. IEEE Transaction on Image Processing (TIP), 2019.

Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy (2018). Mix-and-match tuning for self-supervised semantic segmentation. Thirty-Second AAAI Conference on Artificial Intelligence.

Guangrun Wang, Ping Luo, Xinjiang Wang, Liang Lin, others (2018). Kalman Normalization: Normalizing Internal Representations Across Network Layers. Advances in Neural Information Processing Systems (NeurlPS).

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Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang (2018). From facial expression recognition to interpersonal relation prediction. International Journal of Computer Vision.

Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang (2018). Faceness-net: Face detection through deep facial part responses. IEEE transactions on pattern analysis and machine intelligence.

Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang (2018). FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Yujun Shen, Bolei Zhou, Ping Luo, Xiaoou Tang (2018). FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis. arXiv preprint arXiv:1812.01288.

Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang (2018). Deep learning markov random field for semantic segmentation. IEEE transactions on pattern analysis and machine intelligence (PAMI).

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Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, Ping Luo (2018). CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images. 2018 IEEE International Conference on Big Data (Big Data).

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Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin (2018). Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. arXiv preprint arXiv:1802.03133.

Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy (2017). Video object segmentation with re-identification. arXiv preprint arXiv:1708.00197.

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Yao Zhou, Jiamin Ren, Jingyu Li, Litong Feng, Shi Qiu, Ping Luo (2017). Video Classification via Relational Feature Encoding Networks. Proceedings of the Workshop on Large-Scale Video Classification Challenge.

Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang (2017). Unconstrained fashion landmark detection via hierarchical recurrent transformer networks. Proceedings of the 2017 ACM on Multimedia Conference.

Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang (2017). Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang (2017). Learning object interactions and descriptions for semantic image segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Ping Luo (2017). Learning deep architectures via generalized whitened neural networks. International Conference on Machine Learning (ICML).

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Ping Luo (2017). EigenNet: Towards Fast and Structural Learning of Deep Neural Networks. International Joint Conference on Artificial Intelligence (IJCAI).

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Wanli Ouyang, Xingyu Zeng, Xiaogang Wang, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Hongyang Li, others (2017). DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Chen Change Loy, Ping Luo, Chen Huang (2017). Deep Learning Face Attributes for Detection and Alignment. Visual Attributes.

Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang (2017). Deep Dual Learning for Semantic Image Segmentation. International Conference on Computer Vision (ICCV).

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Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang (2016). Wider face: A face detection benchmark. Proceedings of the IEEE conference on computer vision and pattern recognition.

Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang (2016). Learning deep representation for face alignment with auxiliary attributes. IEEE transactions on pattern analysis and machine intelligence.

Ping Luo, Liang Lin, Xiaobai Liu (2016). Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection.. IEEE Trans. Neural Netw. Learning Syst. (TNNLS).

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Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang (2016). Joint face representation adaptation and clustering in videos. European conference on computer vision.

Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang (2016). Fashion Landmark Detection in the Wild. European Conference on Computer Vision (ECCV).

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Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang (2016). Face Model Compression by Distilling Knowledge from Neurons. AAAI Conference on Artificial Intelligence (AAAI).

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Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang (2016). Deepfashion: Powering robust clothes recognition and retrieval with rich annotations. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR).

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Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, Shuicheng Yan (2016). Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval. IEEE Transactions on Multimedia.

Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen-Change Loy, Xiaoou Tang (2015). Semantic image segmentation via deep parsing network. Proceedings of the IEEE International Conference on Computer Vision (ICCV).

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Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang (2015). Pedestrian detection aided by deep learning semantic tasks. CVPR.

Yubin Deng, Ping Luo, Chen Change Loy, Xiaoou Tang (2015). Learning to recognize pedestrian attribute. arXiv preprint arXiv:1501.00901.

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Zhanpeng Zhang, Ping Luo, Chen-Change Loy, Xiaoou Tang (2015). Learning social relation traits from face images. Proceedings of the IEEE International Conference on Computer Vision.

Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang (2015). From facial parts responses to face detection: A deep learning approach. Proceedings of the IEEE International Conference on Computer Vision.

Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen-Change Loy, others (2015). Deepid-net: Deformable deep convolutional neural networks for object detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W Shum, Xiaoou Tang (2015). Deep Representation Learning with Target Coding.. AAAI.

Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang (2015). Deep Learning Strong Parts for Pedestrian Detection. ICCV.

Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang (2015). Deep Learning Face Attributes in the Wild. IEEE International Conference on Computer Vision (ICCV).

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Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang (2015). A large-scale car dataset for fine-grained categorization and verification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Ping Luo, Yonglong Tian, Xiaogang Wang, Xiaoou Tang (2014). Switchable deep network for pedestrian detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang (2014). Recover canonical-view faces in the wild with deep neural networks. arXiv preprint arXiv:1404.3543.

Yubin Deng, Ping Luo, Chen Change Loy, Xiaoou Tang (2014). Pedestrian attribute recognition at far distance. Proceedings of the 22nd ACM international conference on Multimedia (MM).

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Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang (2014). Multi-view perceptron: a deep model for learning face identity and view representations. Advances in Neural Information Processing Systems.

Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang (2014). Learning and Transferring Multi-task Deep Representation for Face Alignment.

Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang (2014). Facial landmark detection by deep multi-task learning. European Conference on Computer Vision.

Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, others (2014). Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection. arXiv preprint arXiv:1409.3505.

Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang (2014). Deep learning multi-view representation for face recognition. arXiv preprint arXiv:1406.6947.

Wei Yang, Ping Luo, Liang Lin (2014). Clothing Co-Parsing by Joint Image Segmentation and Labeling. IEEE Conference on Computer Vision and Pattern Recognition.

Ping Luo, Xiaogang Wang, Xiaoou Tang (2013). Pedestrian parsing via deep decompositional network. Proceedings of the IEEE international conference on computer vision.

Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang (2013). Deep learning identity-preserving face space. Proceedings of the IEEE International Conference on Computer Vision.

Ping Luo, Xiaogang Wang, Xiaoou Tang (2013). A deep sum-product architecture for robust facial attributes analysis. Proceedings of the IEEE International Conference on Computer Vision (ICCV).

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Liang Lin, Ping Luo, Xiaowu Chen, Kun Zeng (2012). Representing and recognizing objects with massive local image patches. Pattern Recognition.

Ping Luo, Xiaogang Wang, Liang Lin, Xiaoou Tang (2012). Joint semantic segmentation by searching for compatible-competitive references. Proceedings of the 20th ACM international conference on Multimedia.

Ping Luo, Xiaogang Wang, Xiaoou Tang (2012). Hierarchical face parsing via deep learning. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Ming Yang, Shu Lin, Ping Luo, Liang Lin, Hongyang Chao (2010). Semantics-driven portrait cartoon stylization. Image Processing (ICIP), 2010 17th IEEE International Conference on.

Ping Luo, Liang Lin, Hongyang Chao (2010). Learning shape detector by quantizing curve segments with multiple distance metrics. European Conference on Computer Vision.

Xi Song, Ping Luo, Liang Lin, Yunde Jia (2010). A Discriminative Model for Object Representation and Detection via Sparse Features. Pattern Recognition (ICPR), 2010 20th International Conference on.

Ping Luo, Jiajie He, Liang Lin, Hongyang Chao (2009). Hierarchical 3D perception from a single image. Image Processing (ICIP), 2009 16th IEEE International Conference on.