Selected Publications

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

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Pre-Prints:

PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting
Zipeng Wang, Dan Xu
arXiv preprint arXiv:2404.13679

PDF-GitHub Project

}

X-VILA: Cross-Modality Alignment for Large Language Model
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
Arxiv preprint arXiv:2405.19335

PDF-GitHub Project

}

You Only Train Once: Multi-Identity Free-Viewpoint Neural Human Rendering from Monocular Videos
Jaehyeok Kim, Dongyoon Wee, Dan Xu
Arxiv preprint arXiv:2303.05835

PDF-GitHub Project

}

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
Arxiv preprint arXiv:2502.10458

PDF-GitHub Project-Top-5 Huggin Face Daily Papers

}

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Conference:

[2025]-[2024]-[2023]-[2022]-[2021]-[2020]-[2019]-[2018]-[2017]-[2016]

Free-Viewpoint Human Animation with Pose-Correlated Reference Selection
Fating Hong, Zhan Xu, Haiyang Liu, Qinjie Lin, Luchuan Song, Zhixin Shu, Yang Zhou, Duygu Ceylan, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA
(Selected as Highlight Paper)

BibTex-PDF -GitHub Code-Project

@InProceedings{freeviewpoint25,
  title={Free-viewpoint human animation with pose-correlated reference selection},
  author={Fating Hong*, Zhan Xu, Haiyang Liu, Qinjie Lin, Luchuan Song, Zhixin Shu, Yang Zhou, Duygu Ceylan, and Dan Xu},
  booktitle={CVPR},
  year={2025}
}

Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations
Xunzhi Zheng, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA

BibTex-PDF -GitHub Code

@InProceedings{flownerf25,
  title={Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations},
  author={Xunzhi Zheng and Dan Xu},
  booktitle={CVPR},
  year={2025}
}

Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs
Yingji Zhong, Zhihao Li, Zhenyu Chen, Lanqing Hong, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA
(Selected as Highlight Paper)

BibTex-PDF -GitHub Code

@InProceedings{flownerf25,
  title={Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs},
  author={Yingji Zhong, Zhihao Li, Zhenyu Chen, Lanqing Hong and Dan Xu},
  booktitle={CVPR},
  year={2025}
}

Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation
Shuling Zhao, Fating Hong, Xiaoshui Huang, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA

BibTex-PDF -GitHub Code-Project

@InProceedings{flownerf25,
  title={Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation},
  author={Shuling Zhao, Fating Hong, Xiaoshui Huang, and Dan Xu},
  booktitle={CVPR},
  year={2025}
}

GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
Jinfeng Liu, Lingtong Kong, Bo Li, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA

BibTex-PDF -GitHub Code-Project

@InProceedings{GSHDR25,
  title={GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping},
  author={Jinfeng Liu*, Lingtong Kong, Bo Li, and Dan Xu},
  booktitle={CVPR},
  year={2025}
}

MM-Ego: Towards Building Egocentric Multimodal LLMs
Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, B. Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang
The International Conference on Learning Representations (ICLR), 2025, Singapore.

BibTex-PDF -GitHub Code-Project

@InProceedings{GSHDR25,
  title={MM-Ego: Towards building egocentric multimodal LLMs},
  author={Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, B. Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang},
  booktitle={ICLR},
  year={2025}
}

GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
Yuxin Wang, Qianyi Wu, Guofeng Zhang, Dan Xu
European Conference on Computer Vision (ECCV), 2024, Milan, Italy

BibTex-PDF -GitHub Project

@InProceedings{GScreameccv24,
  title={GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal},
  author={Wang, Yuxin and Wu, Qianyi and Zhang, Guofeng and Xu, Dan},
  booktitle={ECCV},
  year={2024}
}

Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling
Jaehyeok Kim, Dongyoon Wee, Dan Xu
European Conference on Computer Vision (ECCV), 2024, Milan, Italy

BibTex-PDF -GitHub Project

@InProceedings{moconerfeccv24,
  title={Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling},
  author={Kim Jaehyeok and Wee Dongyoon and Xu, Dan},
  booktitle={ECCV},
  year={2024}
}

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian Price, Dan Xu
European Conference on Computer Vision (ECCV), 2024, Milan, Italy

BibTex-PDF -GitHub Project

@InProceedings{seggeneccv24,
  title={SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis},
  author={Ye, Hanrong and Kuen, Jason and Liu, Qing and Lin, Zhe and Price, Brian and Xu, Dan},
  booktitle={ECCV},
  year={2024}
}

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting
Qi Wang, Ruijie Lu, Xudong Xu, Jingbo Wang, Michael Yu Wang, Bo Dai, Gang Zeng, Dan Xu
European Conference on Computer Vision (ECCV), 2024, Milan, Italy

BibTex-PDF -GitHub Project

@InProceedings{roomtexeccv24,
  title={RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting},
  author={Wang, Qi and Liu, Ruijie and Xu, Xudong and Wang, Jingbo and Wang, Michael and Dai, Bo Dai and Zeng, Gang and Xu, Dan},
  booktitle={ECCV},
  year={2024}
}

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code

@InProceedings{diffusionmtl,
  title={DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data},
  author={Ye, Hanrong and Xu, Dan},
  booktitle={CVPR},
  year={2024}
}
}

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
Yingji Zhong, Lanqing Hong, Zhengguo Li, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code

@inproceedings{zhong2024cvt,
    title={CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs},
    author={Zhong, Yingji and Hong, Lanqing and Li, Zhenguo and Xu, Dan},
    booktitle={CVPR},
    year={2024}
    }
}

Interactive3D: Create What You Want by Interactive 3D Generation
Shaocong Dong, Lihe Ding, Zhanpeng Huang, Tianfan Xue, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code-Demo Video

@inproceedings{dong2024interactive3d,
  title={Interactive3D: Create What You Want by Interactive 3D Generation},
  author={Dong, Shaocong and Ding, Lihe and Huang, Zhanpeng and Wang, Zibin and Xue, Tianfan and Xu, Dan},
  booktitle={CVPR},
  year={2024}
}
}

DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection
Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Zhenguo Li, Dan Xu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code

@inproceedings{lewei2024detclipv3,
  title={DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection},
  author={Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Zhenguo Li, Dan Xu},
  booktitle={CVPR},
  year={2024}
}
}

Text-to-3D Generation with Bidirectional Diffusion using Both 2D and 3D Priors
Lihe Ding, Shaocong Dong, Zhanpeng Huang, Zibin Wang, Yiyuan Zhang, Kaixiong Gong, Dan Xu, Tianfan Xue
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code

@inproceedings{ding2023text,
  title={Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors},
  author={Ding, Lihe and Dong, Shaocong, and Huang, Zhanpeng, and Wang, Zibin and Gong, Kaixiong and Xu, Dan and Xue, Tianfan},
  booktitle={CVPR},
  year={2024}
}
}

GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Chi Yan*, Delin Qu*, Dan Xu, Zhigang Wang, Bin Zhao, Dong Wang, Xuelong Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA
(Highlight Paper, 2.8% acceptance rate)

BibTex-PDF -GitHub Code

@inproceedings{yan2023gs,
  author    = {Yan, Chi and Qu, Delin and Xu, Dan and Zhao, Bin and Wang, Zhigang and Wang, Dong and Li, Xuelong},
  title     = {GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting},
  booktitle = {CVPR},
  year      ={2024},
}
}

Implicit Event-RGBD Neural SLAM
Delin Qu, Chi Yan, Dong Wang, Jie Yin, Dan Xu, Bin Zhao, Xuelong Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA
(Highlight Paper, 2.8% acceptance rate)

BibTex-PDF -GitHub Code

@inproceedings{quimplicitslamcvpr24,
  author    = {Delin Qu, Chi Yan, Dong Wang, Jie Yin, Dan Xu, Bin Zhao, Xuelong Li},
  title     = {Implicit Event-RGBD Neural SLAM},
  booktitle = {CVPR},
  year      ={2024},
}
}

Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA

BibTex-PDF -GitHub Code

@inproceedings{Shang2024efficient,
  title={Efficient Multitask Dense Predictor via Binarization},
  author={Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan},
  booktitle={CVPR},
  year={2024}
}
}

CoDA: Collaborative Novel Box Discovery and Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Yang Cao, Yihan Zeng, Hang Xu, Dan Xu
Advances in Neural Information Processing Systems (NeurIPS), 2023, New Orleans, USA

BibTex-PDF -GitHub Code

@InProceedings{CoDaneurips2023,
   title={CoDA: Collaborative novel box discovery and cross-modal alignment for open-vocabulary 3D object detection},
   author={Cao, Yang and Zeng, Yihan and Xu, Hang, and Xu, Dan},
   booktitle={NeurIPS},
   year={2023}
}

Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head Video Generation
Fating Hong, Dan Xu
International Conference on Computer Vision (ICCV), 2023, Paris, France
(Project and code are released!)

BibTex-PDF -GitHub Code

@InProceedings{impliciticcv2023,
   title={Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation},
   author={Hong, Fating; Xu, Dan},
   booktitle={ICCV},
   year={2023}
}

Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
Yuxin Wang, Wayne Wu, Dan Xu
International Conference on Computer Vision (ICCV), 2023, Paris, France
(Project and code are released!)

BibTex-PDF -GitHub Code

@InProceedings{editingiccv2023,
   title={Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis},
   author={Wang, Yuxin; Wu, Wayne; Xu, Dan},
   booktitle={ICCV},
   year={2023}
}

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye, Dan Xu
International Conference on Computer Vision (ICCV), 2023, Paris, France
(Project and code will be released soon!)

BibTex-PDF -GitHub Code

@InProceedings{taskmoeiccv2023,
   title={TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts},
   author={Ye, Hanrong; Xu, Dan},
   booktitle={ICCV},
   year={2023}
}

Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Dan Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada

BibTex-PDF -GitHub Code

@InProceedings{multimodalcvpr2022,
   title={Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization},
   author={Xu, Lian; Ouyang, Wanli; Bennamoun, Mohammed; Boussaid, Farid; Xu, Dan},
   booktitle={CVPR},
   year={2023}
}

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada
(Use 13M image-text pairs for pretraining, 40.4% zero-shot AP on the LVIS benchmark, outperforming GLIP/GLIPv2 by 14.4/11.4% AP!)

BibTex-PDF -GitHub Code

@InProceedings{multimodalcvpr2023,
   title={DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment},
   author={Yao, Lewei; Han, Jianhua; Liang, Xiaodan; Xu, Dan Xu; Zhang, Wei, Li, Zhenguo; Xu, Hang},
   booktitle={CVPR},
   year={2023}
}

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}
}

TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
Hanrong Ye, Dan Xu
The International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda​
(Fully-supervised joint 2D and 3D multi-task transformer framework, 3D detection, semantic segmentation and depth estimation!)

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}
}

Contrastive Multi-Task Dense Prediction
Siwei Yang, Hanrong Ye, Dan Xu
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023, Washington DC, USA​
(The first contrastive deep framework for multi-task dense prediction!)

BibTex-PDF-GitHub Code

@InProceedings{contrastiveaaai23,
   title={Contrastive Multi-Task Dense Prediction},
   author={Siwei Yang; Hanrong Ye; Xu, Dan},
   booktitle={AAAI},
   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:

[2024]-[2023]-[2022]-[2021]-[2020]-[2019]-[2018]-[2017]

MCTformer: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
Lian Xu, Mohammed Bennamoun, Farid Boussaid, Hamid Laga, Wanli, Ouyang, Dan Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024. (in press) [PDF]

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Hanrong Ye, and Dan Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024. (in press) [PDF]

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fating Hong, Li Shen, and Dan Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. (in press) [PDF]

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