Dan Xu

According to our database, Dan Xu authored at least 67 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation.

Fa-Ting Hong, Li Shen, Dan Xu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation.

Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu

CoRR, 2024

2023

Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation.

Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Dan Xu

Neural Comput. Appl., September, 2023

Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting.

Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks.

Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Multim., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2023

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation.

Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu

CoRR, 2023

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.

Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields.

Zhenxing Mi, Dan Xu

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head Video Generation.

Fa-Ting Hong, Dan Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Modal Multi-Task Joint 2D and 3D Scene Perception and Localization.

Dan Xu

Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023

Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization.

Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction.

Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Network Binarization via Contrastive Learning.

Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

Lipschitz Continuity Retained Binary Neural Network.

Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation.

Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo.

Zhenxing Mi, Di Chang, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Depth-Aware Generative Adversarial Network for Talking Head Video Generation.

Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting.

Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He

CoRR, 2021

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection.

Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu

CoRR, 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

CoRR, 2021

Variational Structured Attention Networks for Deep Visual Representation Learning.

Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci

CoRR, 2021

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization.

Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes.

Dan Xu, Andrea Vedaldi, João F. Henriques

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation.

Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks.

Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction.

Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Delving Into Localization Errors for Monocular 3D Object Detection.

Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe

IEEE Trans. Multim., 2020

Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks.

Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Scope Head for Accurate Localization in Object Detection.

Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang

CoRR, 2020

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis.

Hao Tang, Xiaojuan Qi, Dan Xu, Philip H. S. Torr, Nicu Sebe

CoRR, 2020

Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation.

Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H. S. Torr, Nicu Sebe

CoRR, 2020

Dynamic Graph Message Passing Networks.

Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks.

Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Asymmetric Generative Adversarial Networks for Image-to-Image Translation.

Hao Tang, Dan Xu, Hong Liu, Nicu Sebe

CoRR, 2019

Deep Micro-Dictionary Learning and Coding Network.

Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation.

Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation.

Hao Tang, Dan Xu, Nicu Sebe, Yan Yan

Proceedings of the International Joint Conference on Neural Networks, 2019

Expression Conditional Gan for Facial Expression-to-Expression Translation.

Hao Tang, Wei Wang, Songsong Wu, Xinya Chen, Dan Xu, Nicu Sebe, Yan Yan

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection.

Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM.

Lu Sheng, Dan Xu, Wanli Ouyang, Xiaogang Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attribute-Guided Sketch Generation.

Hao Tang, Xinya Chen, Wei Wang, Dan Xu, Jason J. Corso, Nicu Sebe, Yan Yan

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation.

Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation.

Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Exploring Multi-Modal and Structured Representation Learning for Visual Image and Video Understanding.

Dan Xu

PhD thesis, 2018

Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval.

Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe

IEEE Trans. Image Process., 2018

Every Smile is Unique: Landmark-Guided Diverse Smile Generation.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe

CoRR, 2018

GestureGAN for Hand Gesture-to-Gesture Translation in the Wild.

Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Group Consistent Similarity Learning via Deep CRF for Person Re-Identification.

Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Every Smile Is Unique: Landmark-Guided Diverse Smile Generation.

Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation.

Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation.

Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe

Proceedings of the Computer Vision - ACCV 2018, 2018

Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks.

Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Supervised Local Descriptor Learning for Human Action Recognition.

Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu

IEEE Trans. Multim., 2017

Detecting anomalous events in videos by learning deep representations of appearance and motion.

Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe

Comput. Vis. Image Underst., 2017

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation.

Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection.

Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Viraliency: Pooling Local Virality.

Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Academic Coupled Dictionary Learning for Sketch-based Image Retrieval.

Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multi-Paced Dictionary Learning for cross-domain retrieval and recognition.

Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection.

Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe

Proceedings of the British Machine Vision Conference 2015, 2015