See the full publication list here.

Preprints

  • Rui Yan, Lingxi Xie, Xiangbo Shu and Jinhui Tang, "Interactive Fusion of Multi-level Features for Compositional Activity Recognition", Dec 2020. [arXiv preprint]
  • Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li and Qi Tian, "UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification", Dec 2020. [arXiv preprint]
  • Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Hongkai Xiong and Qi Tian, "Hierarchical Semantic Aggregation for Contrastive Representation Learning", Dec 2020. [arXiv preprint]
  • Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong and Alan L. Yuille, "Batch Normalization with Enhanced Linear Transformation", Nov 2020. [arXiv preprint]
  • Peng Zhou, Lingxi Xie, Bingbing Ni and Qi Tian, "Omni-GAN: On the Secrets of cGANs and Beyond", Nov 2020. [arXiv preprint]
  • Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li and Qi Tian, "Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations", Nov 2020. [arXiv preprint]
  • Peisen Zhao, Lingxi Xie, Ya Zhang, Yanfeng Wang and Qi Tian, "Privileged Knowledge Distillation for Online Action Detection", Nov 2020. [arXiv preprint]
  • Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li and Qi Tian, "Can Semantic Labels Assist Self-Supervised Visual Representation Learning?", Nov 2020. [arXiv preprint]
  • Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang and Qi Tian, "Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap", Aug 2020. [arXiv preprint]
  • Kaifeng Bi, Lingxi Xie, Xin Chen, Longhui Wei and Qi Tian, "GOLD-NAS: Gradual, One-Level, Differentiable", Jul 2020. [arXiv preprint]
  • Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao and Qixiang Ye, "Discretization-Aware Architecture Search", Jul 2020. [arXiv preprint]
  • Peng Zhou, Lingxi Xie, Xiaopeng Zhang, Bingbing Ni and Qi Tian, "Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks", Jun 2020. [arXiv preprint]
  • Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang and Qi Tian, "ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation", Jun 2020. [arXiv preprint]
  • Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian and Hongkai Xiong, "Latency-Aware Differentiable Neural Architecture Search", Jan 2020. [arXiv preprint]
  • Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo and Qi Tian, "Scalable NAS with Factorizable Architectural Parameters", Dec 2019. [arXiv preprint]
  • Kaifeng Bi, Changping Hu, Lingxi Xie, Xin Chen, Longhui Wei and Qi Tian, "Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters", Oct 2019. [arXiv preprint]
  • Zhuoxun He, Lingxi Xie, Xin Chen, Ya Zhang, Yanfeng Wang and Qi Tian, "Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data", Sep 2019. [arXiv preprint]
  • Yifeng Li, Lingxi Xie, Ya Zhang, Rui Zhang, Yanfeng Wang and Qi Tian, "Defending Adversarial Attacks by Correcting logits", Jun 2019. [arXiv preprint]
  • Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman and Alan L. Yuille, "Thickened 2D Networks for 3D Medical Image Segmentation", Apr 2019. [arXiv preprint]
  • Xutong Ren, Lingxi Xie, Chen Wei, Siyuan Qiao, Chi Su, Jiaying Liu, Qi Tian, Elliot K. Fishman and Alan L. Yuille, "Generalized Coarse-to-Fine Visual Recognition with Progressive Training", Nov 2018. [arXiv preprint]
  • Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yanfeng Wang, Qi Tian, Elliot K. Fishman and Alan L. Yuille, "Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation", Nov 2018. [arXiv preprint]
  • Junran Peng, Lingxi Xie, Zhaoxiang Zhang, Tieniu Tan, Jingdong Wang, "Accelerating Deep Neural Networks with Spatial Bottleneck Modules", Sep 2018. [arXiv preprint]

Selected CV/ML Top Conference Papers

  1. Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong and Qi Tian, "One-bit Supervision for Image Classification", in Advances in Neural Information Processing Systems (NeurIPS, Acceptance Rate ~ 20%), Virtual, 2020.
  2. Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang and Qi Tian, "Corner Proposal Network for Anchor-free, Two-stage Object Detection", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Spotlight Presentation, Virtual, 2020.
  3. Longhui Wei*, An Xiao*, Lingxi Xie, Xiaopeng Zhang, Xin Chen and Qi Tian, "Circumventing Outliers of AutoAugment with Knowledge Distillation", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Spotlight Presentation, Virtual, 2020.
  4. Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang and Qi Tian, "Bottom-Up Temporal Action Localization with Mutual Regularization", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Virtual, 2020.
  5. Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu and Qi Tian, "Social Adaptive Module for Weakly-supervised Group Activity Recognition", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Virtual, 2020.
  6. Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai and Qi Tian, "Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Virtual, 2020.
  7. Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou and Qi Tian, "Reinforced Axial Refinement Network for Monocular 3D Object Detection", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 27%), Virtual, 2020.
  8. Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei and Qi Tian, "Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 22%), Virtual, 2020.
  9. Hengtong Hu, Lingxi Xie, Richang Hong and Qi Tian, "Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 22%), Virtual, 2020.
  10. Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan and Qi Tian, "Unsupervised Person Re-Identification via Softened Similarity Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 22%), Virtual, 2020.
  11. Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian and Hongkai Xiong, "PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search", in International Conference on Learning Representations (ICLR, Acceptance Rate ~ 24%), Spotlight Presentation, Virtual, 2020.
  12. Xin Chen, Lingxi Xie, Jun Wu and Qi Tian, "Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 25%), Oral Presentation, Seoul, Korea, 2019.
  13. Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang and Qi Tian, "CenterNet: Keypoint Triplets for Object Detection", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 25%), Seoul, Korea, 2019.
  14. Qing Liu, Lingxi Xie, Huiyu Wang and Alan L. Yuille, "Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 25%), Seoul, Korea, 2019.
  15. Yutong Bai*, Qing Liu*, Lingxi Xie, Yan Zheng, Weichao Qiu and Alan L. Yuille, "Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 25%), Seoul, Korea, 2019.
  16. Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman and Alan L. Yuille, "Elastic Boundary Projection for 3D Medical Imaging Segmentation", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  17. Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian and Alan L. Yuille, "Iterative Reorganization with Weak Spatial Constraints:Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  18. Chenglin Yang, Lingxi Xie, Chi Su and Alan L. Yuille, "Snapshot Distillation: Teacher-Student Optimization in One Generation", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  19. Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang and Alan L. Yuille, "CRAVES: Controlling Robotic Arm with a Vision-based, Economic System", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  20. Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang and Alan L. Yuille, "Adversarial Attacks Beyond the Image Space", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Oral Presentation, Long Beach, California, USA, 2019. [PDF]
  21. Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao and Qixiang Ye, "SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  22. Yanwei Li, Zheng Zhu, Xinze Chen, Lingxi Xie, Guan Huang, Xingang Wang and Dalong Du, "Attention-guided Unified Network for Panoptic Segmentation", in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 25%), Long Beach, California, USA, 2019. [PDF]
  23. Yan Wang*, Lingxi Xie*, Siyuan Qiao, Ya Zhang, Wenjun Zhang and Alan L. Yuille, "Multi-Scale Spatially-Asymmetric Recalibration for Image Classification", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 30%), Munich, Germany, 2018. [PDF]
  24. Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman and Alan L. Yuille, "Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 30%), Salt Lake City, Utah, USA, 2018. [PDF] [Project]
  25. Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie and Alan L. Yuille, "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 30%), Salt Lake City, Utah, USA, 2018. [PDF] [Supp. Material]
  26. Lingxi Xie and Alan L. Yuille, "Genetic CNN", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 29%), pages 1379--1388, Venice, Italy, 2017. [PDF]
  27. Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian and Alan L. Yuille, "SORT: Second-Order Response Transform for Visual Recognition", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 29%), pages 1359--1368, Venice, Italy, 2017. [PDF]
  28. Cihang Xie*, Jianyu Wang*, Zhishuai Zhang*, Yuyin Zhou, Lingxi Xie and Alan L. Yuille, "Adversarial Examples for Semantic Segmentation and Object Detection", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 29%), pages 1369--1378, Venice, Italy, 2017. [PDF] [Supp. Material] [Project]
  29. Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang and Alan L. Yuille, "Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons", in European Conference on Computer Vision (ECCV, Acceptance Rate ~ 30%), pages 645--661, Amsterdam, The Netherlands, 2016. [PDF] [Poster] [Project]
  30. Lingxi Xie*, Liang Zheng*, Jingdong Wang, Alan L. Yuille and Qi Tian, "InterActive: Inter-Layer Activeness Propagation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 30%), pages 270--279, Las Vegas, Nevada, USA, 2016. [PDF] [Poster] [Slides] [Project]
  31. Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang and Qi Tian, "DisturbLabel: Regularizing CNN on the Loss Layer", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 30%), pages 4753--4762, Las Vegas, Nevada, USA, 2016. [PDF] [Poster] [Slides] [Project]
  32. Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang and Qi Tian, "RIDE: Reversal Invariant Descriptor Enhancement", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 30%), pages 100--108, Santiago, Chile, 2015. [PDF] [Supp. Material] [Poster] [Slides] [Project]
  33. Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang and Qi Tian, "Orientational Pyramid Matching for Recognizing Indoor Scenes", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Acceptance Rate ~ 30%), pages 3734--3741, Columbus, Ohio, USA, 2014. [PDF] [Poster] [Slides] [Project]
  34. Lingxi Xie, Qi Tian, Richang Hong, Shuicheng Yan and Bo Zhang, "Hierarchical Part Matching for Fine-Grained Visual Categorization", in IEEE International Conference on Computer Vision (ICCV, Acceptance Rate ~ 30%), pages 1641--1648, Sydney, Australia, 2013. [PDF] [Poster] [Spotlight Slide] [Slides] [Project]

Selected Other Conference Papers

  1. Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu and Qi Tian, "Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks", in AAAI Conference on Artificial Intelligence (AAAI, Acceptance Rate ~ 21%), Virtual, 2021.
  2. [arXiv preprint]
  3. Ke Ning, Lingxi Xie, Fei Wu and Qi Tian, "Polar Relative Positional Encoding for Video-Language Segmentation", in International Joint Conference on Artificial Intelligence (IJCAI, Acceptance Rate ~ 13%), Yokohama, Japan, 2020.
  4. Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li and Qi Tian, "Single Camera Training for Person Re-identification", in AAAI Conference on Artificial Intelligence (AAAI, Acceptance Rate ~ 16%), New York, New York, USA, 2020.
  5. Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang and Xiaolin Hu, "Pruning from Scratch", in AAAI Conference on Artificial Intelligence (AAAI, Acceptance Rate ~ 16%), New York, New York, USA, 2020.
  6. Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie and Qi Tian, "Fast Non-Local Neural Networks with Spectral Residual Learning", in ACM International Conference on Multimedia (ACMMM, Acceptance Rate ~ 27%), Nice, France, 2019.
  7. Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman and Alan L. Yuille, "Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma", in International Conference on Medical Image Computing and Computer Assisted Interventions, (MICCAI, Acceptance Rate ~ 25%), Shenzhen, China, 2019.
  8. Chenglin Yang, Lingxi Xie, Siyuan Qiao and Alan L. Yuille, "Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students", in AAAI Conference on Artificial Intelligence (AAAI, Acceptance Rate ~ 16%), Honolulu, Hawaii, USA, 2019. [PDF]
  9. Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu and Guangyu Sun, "G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification", in AAAI Conference on Artificial Intelligence (AAAI, Acceptance Rate ~ 16%), Honolulu, Hawaii, USA, 2019. [PDF]
  10. Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie and Alan L. Yuille, "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", in British Machine Vision Conference (BMVC, Oral Presentation, Acceptance Rate ~ 4%), Newcastle upon Tyne, UK, 2018. [PDF]
  11. Yingying Zhu, Jiong Wang, Lingxi Xie and Liang Zheng, "Attention-based Pyramid Aggregation Network for Visual Place Recognition", in ACM International Conference on Multimedia (ACMMM, Acceptance Rate ~ 27%), Seoul, Korea, 2018. [PDF]
  12. Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman and Alan L. Yuille, "Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI, Acceptance Rate ~ 30%), Granada, Spain, 2018. [PDF]
  13. Yuyin Zhou, Lingxi Xie, Elliot K. Fishman and Alan L. Yuille, "Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI, Acceptance Rate ~ 32%), volume 3, pages 222--230, Quebec City, Quebec, Canada, 2017. [PDF] [Poster] [Slides] [Project]
  14. Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot K. Fishman and Alan L. Yuille, "A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI, Acceptance Rate ~ 32%), volume 1, pages 693--701, Quebec City, Quebec, Canada, 2017. [PDF] [Poster] [Slides] [Project]
  15. Jianyu Wang*, Cihang Xie*, Zhishuai Zhang*, Jun Zhu, Lingxi Xie and Alan L. Yuille, "Detecting Semantic Parts on Partially Occluded Objects", in British Machine Vision Conference (BMVC, Acceptance Rate ~ 30%), volume 307, pages 1--12, London, UK, 2017. [PDF] [Poster]
  16. Zhuotun Zhu, Lingxi Xie and Alan L. Yuille, "Object Recognition with and without Objects", in International Joint Conference on Artificial Intelligence (IJCAI, Acceptance Rate ~ 26%), pages 3609--3615, Melbourne, Australia, 2017. [PDF] [Poster] [Slides]
  17. Lingxi Xie, Qi Tian, Richang Hong and Bo Zhang, "Image Classification and Retrieval are ONE", in ACM International Conference on Multimedia Retrieval (ICMR, Full Paper, Oral Presentation), Best Paper Award, pages 3--10, Shanghai, China, 2015. [PDF] [Poster] [Slides]
  18. Lingxi Xie, Qi Tian and Bo Zhang, "Spatial Pooling of Heterogeneous Features for Image Applications", in ACM International Conference on Multimedia (ACM-MM, Full Paper (Acceptance Rate ~ 20%), Oral Presentation), pages 539--548, Nara, Japan, 2012. [PDF] [Poster] [Slides] [Project]

Selected Journal Papers

  1. Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong and Qi Tian, "Partially-Connected Neural Architecture Search for Reduced Computational Redundancy", to appear, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  2. Ke Ning, Lingxi Xie, Jianzhuang Liu, Fei Wu and Qi Tian, "Interaction-Integrated Network for Natural Language Moment Localization", to appear, in IEEE Transactions on Image Processing (TIP), 2021.
  3. Zijie Zhuang, Longhui Wei, Lingxi Xie, Haizhou Ai and Qi Tian, "Camera-based Batch Normalization: An Effective Distribution Alignment Method for Person Re-identification", to appear, in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
  4. Hengheng Zhang, Ying Li, Zijie Zhuang, Lingxi Xie and Qi Tian, "3D-GAT: 3D-Guided Adversarial Transform Network for Person Re-identification in Unseen Domains", to appear, in Pattern Recognition (PR), 2021.
  5. Linghui Li, Yongdong Zhang, Sheng Tang, Lingxi Xie, Xiaoyong Li and Qi Tian, "Adaptive Spatial Location with Balanced Loss for Video Captioning", to appear, in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
  6. Xin Chen, Lingxi Xie, Jun Wu and Qi Tian, "Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild", to appear, in International Journal on Computer Vision (IJCV), 2021.
  7. Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu and Qi Tian, "HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition", to appear, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  8. Peisen Zhao, Lingxi Xie, Ya Zhang and Qi Tian, "Universal-to-Specific Framework for Complex Action Recognition", to appear, in IEEE Transactions on Multimedia (TMM), 2020.
  9. Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K. Fishman and Alan L. Yuille, "Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans", in IEEE Transactions on Medical Imaging (TMI), DOI: 10.1109/TMI.2019.2930679, volume 39, issue 2, pages 514-525, 2019.
  10. Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang and Qi Tian, "Towards Reversal-Invariant Image Representation", in International Journal on Computer Vision (IJCV), DOI: 10.1007/s11263-016-0970-x, volume 123, issue 2, pages 226-250, 2017. [PDF] [BibTeX]
  11. Lingxi Xie, Qi Tian and Bo Zhang, "Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification", in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2016.2461978, volume 26, number 7, pages 1251-1264, 2016. [PDF]
  12. Lingxi Xie, Qi Tian, Wengang Zhou and Bo Zhang, "Heterogeneous Graph Propagation for Large-Scale Web Image Search", in IEEE Transactions on Image Processing (TIP), DOI: 10.1109/TIP.2015.2432673, volume 24, number 11, pages 4287-4298, 2015. [PDF]
  13. Lingxi Xie, Jingdong Wang, Bo Zhang and Qi Tian, "Fine-Grained Image Search", to appear, in IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2015.2408566, volume 17, number 5, pages 636--647, 2015. [PDF]
  14. Lingxi Xie, Qi Tian and Bo Zhang, "Spatial Pooling of Heterogeneous Features for Image Classification", in IEEE Transaction on Image Processing (TIP), DOI: 10.1109/TIP.2014.2310117, volume 23, number 5, pages 1994--2008, 2014. [PDF] [Project]

Ph.D. Thesis

  • Lingxi Xie, "Image Representation Models based on Local Features: Theory and Practise", Ph.D. thesis (in Chinese), Tsinghua University (Outstanding Ph.D. Thesis), June, 2015. [PDF] [BibTeX]

Rejected Publications

Please see this page.