Selected Publications

[Pre-Prints]-[Conferences]-[Journals]-[Full Records]

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Pre-Prints:

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
Yimin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Wanli Ouyang, Dan Xu
Arxiv preprint 2021 (arXiv:2005.04854)

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Conference:

[2023]-[2022]-[2021]-[2020]-[2019]-[2018]-[2017]-[2016]

Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
Zhenxing Mi, Dan Xu
The International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda​
(First time to use MoE for unsupervised large-scale scene decomposition, achiving better performance than BlockNeRF and MegaNeRF!)

BibTex-PDF -GitHub Code

@InProceedings{invpt2022,
   title={Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields},
   author={Mi, Zhenxing; Xu, Dan},
   booktitle={ICLR},
   year={2023}
}

Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool
The International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda​

BibTex-PDF -GitHub Code

@InProceedings{invpt2022,
   title={Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis},
   author={Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool},
   booktitle={ICLR},
   year={2023}
}

Task Token Transformer for Joint 2D and 3D Multi-Task Learning
Hanrong Ye, Dan Xu
The International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda​

BibTex-PDF-GitHub Code

@InProceedings{invpt2022,
   title={Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields},
   author={Mi, Zhenxing; Xu, Dan},
   booktitle={ICLR},
   year={2023}
}

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Lewei Yao, Juanhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Zhengguo Li, Chunjing Xu, Hang Xu
Neural Information Processing Systems (NeurIPS), 2022, New Orleans, USA​

BibTex-PDF

@InProceedings{invpt2022,
   title={DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection},
   author={Yao, Lewei and Han, Jianhua and Wen, Youpeng and Liang, Xiaodan and Xu, Dan and Zhang, Wei and Li, Zhengguo and Xu, Chujing and Xu, Hang},
   booktitle={NeurIPS},
   year={2022}
}

Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
Hanrong Ye, Dan Xu
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel​
(LARGELY outperforms previous SOTA (e.g. ATRC) on multiple challenging multi-task dense prediction benchmarks.)

BibTex-PDF -GitHub Code-Demo

@InProceedings{invpt2022,
   title={Inverted Pyramid Multi-task Transformer for Dense Scene Understanding},
   author={Ye, Hanrong and Xu, Dan},
   booktitle={ECCV},
   year={2022}
}

Network Binarization via Contrastive Learning
Yuzhang Shang, Dan Xu, Ziliang Zong, Yan Yan
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel​

BibTex-PDF

@inproceedings{shang2022network,
  title={Network Binarization via Contrastive Learning},
  author={Shang, Yuzhang and Xu, Dan and Zong, Ziliang and Yan, Yan},
  booktitle={ECCV},
  year={2022}
}

Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang, Dan Xu, Ziliang Zong, Bin Duan, Liqiang Nie, Yan Yan
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel​

BibTex-PDF

@inproceedings{shang2022lipschitz,
  title={Lipschitz Continuity Retained Binary Neural Network},
  author={Shang, Yuzhang and Xu, Dan and Duan, Bin and Zong, Ziliang and Nie, Liqiang and Yan, Yan},
  booktitle={ECCV},
  year={2022}
}

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
Zhenxing Mi, Chang Di, Dan Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans, USA​

BibTex-PDF -GitHub Code-Project

@inproceedings{mi2021generalized,
      title={Generalized Binary Search Network for Highly-Efficient Multi-View Stereo}, 
      author={Zhenxing Mi and Di Chang and Dan Xu},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year={2022}
}

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Dan Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans, USA​

BibTex-PDF -GitHub Code-Project

@inproceedings{xu2022multi,
      title={Multi-class Token Transformer for Weakly Supervised Semantic Segmentation}, 
      author={Xu, Lian and Ouyang, Wanli and Bennamoun, Mohammed and Boussaid, Farid and Xu, Dan},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2022}
}

Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans, USA​

BibTex-PDF -GitHub Code-Project

@inproceedings{mi2021generalized,
      title={Depth-Aware Generative Adversarial Network for Talking Head Video Generation}, 
      author={Hong, Fa-Ting and Zhang, Longhao and Shen, Li and Xu, Dan},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2022}
}

Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, Dan Xu
IEEE International Conference on Computer Vision (ICCV), 2021, Montréal, Québec​
(Significantly outperforms previous SOTA on PASCAL VOC 2012 and MS COCO benchmarks.)

BibTex-PDF -GitHub Code

@inproceedings{iccvleveraging,
	  title={Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation},
	  author={Xu, Lian and  Bennamoun, Mohammed and and Boussaid, Farid and Sohel, Ferdous and Xu, Dan},
	  booktitle={ICCV},
	  year={2021}
	}

Sign-agnostic CONet: Learning Implicit Surface Reconstructions by Sign-agnostic Optimization of Convolutional Occupancy Networks
Jiapeng Tang, Jiabao Lei, Dan Xu*, Feiying Ma, Kui Jia*, Lei Zhang
IEEE International Conference on Computer Vision (ICCV), 2021, Montréal, Québec​
(Oral Presentation, 3% acceptance rate; *Corresponding author)

BibTex-PDF -GitHub Code

@inproceedings{iccvleveraging,
	  title={Sign-agnostic CONet: Learning implicit surface reconstructions by sign-agnostic optimization of convolutional occupancy networks},
	  author={Tang, Jiapeng, Lei, Jiabao, Xu, Dan, Ma, Feiying, Jia, Kui, Zhang, Lei},
	  booktitle={ICCV},
	  year={2021}
	}

Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes
Dan Xu, Andrea Vedaldi, João F. Henriques
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic

BibTex-PDF -Project

@inproceedings{Madelving,
	  title={Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes},
	  author={Xu, Dan and Vedaldi, Andrea and F. Henriques, João},
	  booktitle={IROS},
	  year={2021}
	}

Delving into Localization Errors for Monocular 3D Object Detection
Xinzhu Ma, Yinming Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Wanli Ouyang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Tennessee, USA

BibTex-PDF -GitHub Code

@inproceedings{Madelving,
	  title={Delving into Localization Errors for Monocular 3D Object Detection},
	  author={Ma, Xinzhu and Zhang, Yinming, and Xu, Dan, and Zhou, Dongzhan, and Yi, Shuai and Ouyang, Wanli},
	  booktitle={CVPR},
	  year={2021}
	}

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Tennessee, USA

BibTex-PDF -Project-GitHub Code

@inproceedings{TangLearning,
	  title={Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction},
	  author={Tang, Jiapeng and Xu, Dan, and Jia, Kui and Zhang, Lei},
	  booktitle={CVPR},
	  year={2021}
	}

Dynamic Graph Message Passing Networks
Li Zhang, Dan Xu, Anurag Arnab, Philip H.S. Torr
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, USA​
(Oral Representation. mIoU 81.8% on semantic segmentation on Cityscapes test set;
Boosts Mask-RCNN 3.0% on AP^box for object detection and 2.5% on AP^mask for instance segmentation on COCO.)

BibTex-PDF -Project-GitHub Code

@inproceedings{zhang2019Dynamic,
	  title={Dynamic Graph Message Passing Networks},
	  author={Zhang, Li and Xu, Dan, and Arnab, Anurag and H.S. Torr, Philip},
	  booktitle={CVPR},
	  year={2020}
	}

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Hao Tang, Dan Xu, Yan Yan, Philip H.S. Torr, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, USA

BibTex-PDF -Project-GitHub Code

@inproceedings{tang2020local,
	  title={Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation},
	  author={Tang, Hao and Xu, Dan and Yan, Yan and Torr, H.S. Philip and Sebe, Nicu},
	  booktitle={CVPR},
	  year={2020}
	}

Geometry-Aware Video Object Detection for Static Cameras
Dan Xu, Weidi Xie, Andrew Zisserman
British Machine Vision Conference (BMVC), 2019, Cardiff, UK​
(Oral Presentation, 4.66% acceptance rate)

BibTex-PDF -Demo

@inproceedings{xu2019geometry,
	  title={Geometry-Aware Video Object Detection for Static Cameras},
	  author={Xu, Dan and Xie, Weidi and Zisserman, Andrew},
	  booktitle={BMVC},
	  year={2019}
	}

Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM
Lu Sheng*, Dan Xu*, Wanli Ouyang, Xiaogang Wang
International Conference on Computer Vision (ICCV) 2019, Seoul, Korea​
(*denotes equal contribution)

BibTex-PDF

@inproceedings{Sheng2019Unsupervised,
	  title={Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM},
	  author={Sheng, Lv and Xu, Dan and Ouyang, Wanli and Wang, Xiaogang},
	  booktitle={ICCV},
	  year={2019}
	}

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Guoying Zhao
International Conference on Computer Vision (ICCV) 2019, Seoul, Korea

BibTex-PDF

@inproceedings{Xu2019Structured,
	  title={Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection},
	  author={Xu, Yingyue and Xu, Dan and Hong, Xiaopeng and Ouyang, Wanli and Ji, Rongrong and Zhao, Guoying},
	  booktitle={ICCV},
	  year={2019}
	}

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
Hao Tang, Dan Xu, Yan Yan, Wei Wang, Nicu Sebe
the 27th ACM Conference on Multimedia (ACM MM), 2019, Nice, France​
(Oral Presentation, 4.96% acceptance rate)

BibTex-PDF -Project-GitHub Code

@inproceedings{hao2019cycleincycle,
	  title={Cylce in Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation},
	  author={Tang, Hao and Xu, Dan and Yan, Yan and Wang, Wei and Sebe, Nicu},
	  booktitle={ACM MM},
	  year={2019}
	}

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation
Mihai Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe
International Conference on 3D Vision (3DV), 2019, Quebec City, Canada​
(Oral Presentation, 5.76% acceptance rate)

BibTex-PDF

@inproceedings{Pilzer2019structured,
	  title={Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation},
	  author={Puscas, Mihai and Xu, Dan and Pilzer, Andrea and Sebe, Nicu},
	  booktitle={3DV},
	  year={2019}
	}

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Hao Tang*, Dan Xu*, Yan Yan, Jason Corso, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA, USA ​
(Oral Presentation, 5.5% acceptance rate) (*denotes equal contribution)

BibTex-PDF -Project-GitHub Code

@inproceedings{hao2019multichannel,
	  title={Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation},
	  author={Tang, Hao and Xu, Dan and Yan, Yan and Corso Jason and Sebe, Nicu},
	  booktitle={CVPR},
	  year={2019}
	}

GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe
ACM International Conference on Multimedia (ACM MM), 2018, Seoul, Korea ​
(Oral Presentation, 4.85% acceptance rate, Best Paper Candidate (4/757)!!!)

BibTex-PDF -GitHub Code

@inproceedings{hao2018Geaturegan,
	  title={GestureGAN for Hand Gesture-to-Gesture Translation in the Wild},
	  author={Tang, Hao and Wang, Wei and Xu, Dan and Yan, Yan and Sebe, Nicu},
	  booktitle={ACM MM},
	  year={2018}
	}

Unsupervised Adversarial Depth Estimation using Cycled Generative Networks
Andrea Pilzer*, Dan Xu*, Mihai Puscas*, Elisa Ricci, Nicu Sebe
International Conference on 3D Vision (3DV), 2018, Verona, Italy. (*denotes equal contribution)​

BibTex-PDF -GitHub Code

@inproceedings{xu2018unsupervised,
  title={Unsupervised Adversarial Depth Estimation using Cycled Generative Networks},
  author={Pilzer, Andrea and Xu, Dan and Puscas, Mihai and Ricci, Elisa and Sebe, Nicu},
  booktitle={3DV},
  year={2018}
}

PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, USA​

BibTex-PDF -Project

@inproceedings{xu2018PAD-Net,
  title={PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing},
  author={Xu, Dan and Ouyang, Wanli and Wang, Xiaogang and Sebe, Nicu},
  booktitle={CVPR},
  year={2018}
}

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci
​IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, USA
(Spotlight Presentation, 6.7% acceptance rate)

BibTex-PDF -Training & Testing Code

@inproceedings{xu2018structured,
  title={Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation},
  author={Xu, Dan and Wang, Wei and Tang, Hao and Liu, Hong and Sebe, Nicu and Ricci, Elisa},
  booktitle={CVPR},
  year={2018}
}

Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification
Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang
​IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, USA
(Oral Presentation, 2.1% acceptance rate)

BibTex-PDF -Code

@inproceedings{xu2018group,
  title={Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification},
  author={Chen, Dapeng and Xu, Dan and Li, Hongsheng and Sebe, Nicu and Wang, Xiaogang},
  booktitle={CVPR},
  year={2018}
}

Every Smile is Unique: Landmark-Guided Diverse Smile Generation
​Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe
​IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, USA

BibTex-PDF

@inproceedings{wang2018Every,
  title={Every Smile is Unique: Landmark-Guided Diverse Smile Generation},
  author={Wei, Wang and Alameda-Pineda, Xavier and Xu, Dan and Fua, Pascal and Ricci, Elisa and Sebe, Nicu},
  booktitle={CVPR},
  year={2018}
}

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe
The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017, Long Beach, USA

BibTex-PDF -Project

@inproceedings{xu2017learning,
  title={Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction},
  author={Xu, Dan and Ouyang, Wanli and Alameda-Pineda, Xavier and Ricci, Elisa and Wang, Xiaogang and Sebe, Nicu},
  booktitle={NIPS},
  year={2017}
}

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe
​IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Hawaii, USA
(Spotlight Presentation, 8% acceptance rate)

BibTex-PDF -CODE-Presentation

@inproceedings{xu2017multi,
  title={Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation},
  author={Xu, Dan and Ricci, Elisa and Ouyang, Wanli and Wang, Xiaogang and Sebe, Nicu},
  booktitle={CVPR},
  year={2017}
}

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Hawaii, USA

BibTex-PDF

@inproceedings{xu2017learning,
  title={Learning Cross-Modal Deep Representations for Robust Pedestrian Detection},
  author={Xu, Dan and Ouyang, Wanli and Ricci, Elisa and Wang, Xiaogang and Sebe, Nicu},
  booktitle={CVPR},
  year={2017}
}

Viraliency: Pooling Local Virality 
Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Elisa Ricci, Nicu Sebe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Hawaii, USAi​

BibTex-PDF-CODE

@inproceedings{alameda2017viraliency,
  title={Viraliency: Pooling Local Virality},
  author={Alameda-Pineda, Xavier and Pilzer, Andrea and Xu, Dan and Ricci, Elisa and Sebe, Nicu},
  booktitle={CVPR},
  year={2017}
}

Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition
Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe
23rd International Conference on Pattern Recognition (ICPR), 2016, Cancun, Mexico
(Oral Presentation, Best Scientific Paper Award!!!)

BibTex-PDF -CODE

@inproceedings{xu2016multipaced,
  title={Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition},
  author={Xu, Dan and Song, Jingkuan and Alameda-Pineda Xavier and Ricci, Elisa and Sebe, Nicu},
  booktitle={the 23rd International Conference on Pattern Recognition (ICPR)},
  year={2016}
}

Academic Coupled Dictionary Learning for Sketch Based Image Retrieval
Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe
ACM International Conference on Multimedia (ACM MM), 2016, Amsterdam, Netherland
​(Oral Presentation)

BibTex-PDF -Project

@inproceedings{xu2016academic,
  title={Academic Coupled Dictionary Learning for Sketch-based Image Retrieval},
  author={Xu, Dan and Alameda-Pineda, Xavier and Song, Jingkuan and Ricci, Elisa and Sebe, Nicu},
  booktitle={Proceedings of the 2016 ACM on Multimedia Conference},
  pages={1326--1335},
  year={2016},
  organization={ACM}
}

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe
British Machine Vision Conference (BMVC), 2015, Swansea, UK
​(Oral Presentation, 7% acceptance rate) 

BibTex-PDF -ROC Data

@article{xu2015learning,
  title={Learning deep representations of appearance and motion for anomalous event detection},
  author={Xu, Dan and Ricci, Elisa and Yan, Yan and Song, Jingkuan and Sebe, Nicu},
  booktitle={British Machine Vision Conference (BMVC)},
  year={2015}
}

A Novel Hand Posture Recognition System Based on Sparse Representation Using Color and Depth Images
Dan Xu, Yen-Lun Chen, Xinyu Wu, Wei Feng, Huihuan Qian and Yangsheng Xu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013, Tokyo, Japan
​(Oral Presentation)

BibTex-PDF

@inproceedings{xu2013novel,
  title={A novel hand posture recognition system based on sparse representation using color and depth images},
  author={Xu, Dan and Chen, Yen-Lun and Wu, Xinyu and Feng, Wei and Qian, Huihuan and Xu, Yangsheng},
  booktitle={2013 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={3765--3770},
  year={2013},
  organization={IEEE}
}

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Journal:

[2021]-[2020]-[2019]-[2018]-[2017]

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, and Shengfeng He
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. (in press) [PDF]

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Xavier Alameda-Pineda, Elisa Ricci
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022. (in press) [PDF]

Probabilistic Graph Attention Networks for Pixel-Wise Dense Prediction
Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, and Nicu Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021. (in press) [PDF]

Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
Andrea Pilzer, Stephane Lathuiliere, Dan Xu, Mihai Puscas, Elisa Ricci, Nicu Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019. (in press) [PDF]

Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks
Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018. [PDF]

Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe
IEEE Transactions on Multimedia (T-MM), 2019. [PDF]

Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval
Dan Xu, Xavier Alameda Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe
IEEE Transactions on Image Processing (T-IP), 2017. [PDF]

Supervised Local Descriptor Learning for Human Action Recognition
Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu
IEEE Transactions on Multimedia (T-MM), 2017. [PDF]

Detecting Anomalous Events in Videos by Learning Deep Representations of Appearance and Motion
Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe
Computer Vision and Image Understanding (CVIU), 2017. [PDF]

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© 2015 by Dan Xu. All Rights Reserved. Last Modified: 08/07/2015