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ORCIDDan Xu 0002
徐旦
Person information
- unicode name: 徐旦
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- affiliation (2018 - 2021): University of Oxford, UK
- affiliation (PhD 2018): University of Trento, Department of Information Engineering and Computer Science, Italy
Other persons with the same name
- Dan Xu — disambiguation page
- Dan Xu 0001
![[0000-0003-4602-3550]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4602-3550")
— Yunnan University, School of Information Science and Engineering, Kunming, China (and 1 more) - Dan Xu 0003 — Northwest University, School of Information Science and Technology, Xi'an, China
- Dan Xu 0004 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Dan Xu 0005 — AT&T Labs, San Ramon, CA, USA (and 1 more)
- Dan Xu 0006 — University of Trento, Department of Information Engineering and Computer Science, Italy (and 2 more)
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2020 – today
- 2024
[j13]Fa-Ting Hong, Li Shen, Dan Xu:
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2997-3012 (2024)- [i54]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.01156 (2024) - [i53]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CoRR abs/2405.14136 (2024) - [i52]Yuan Wang, Zhao Wang, Junhao Gong, Di Huang, Tong He, Wanli Ouyang, Jile Jiao, Xuetao Feng, Qi Dou, Shixiang Tang, Dan Xu:
Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space. CoRR abs/2406.11253 (2024) - [i51]Fa-Ting Hong, Dan Xu:
Learning Online Scale Transformation for Talking Head Video Generation. CoRR abs/2407.09965 (2024) - 2023
- [j12]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Dan Xu:
Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation. Neural Comput. Appl. 35(27): 20189-20205 (2023) - [j11]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2567-2581 (2023) - [j10]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He:
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9248-9255 (2023) - [j9]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25: 3841-3854 (2023) - [j8]Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe:
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1972-1987 (2023) - [c42]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization. CVPR 2023: 19596-19605 - [c41]Dan Xu:
Multi-Modal Multi-Task Joint 2D and 3D Scene Perception and Localization. HCMA@MM 2023: 3 - [c40]Fa-Ting Hong, Dan Xu:
Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head Video Generation. ICCV 2023: 23005-23015 - [c39]Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool:
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. ICLR 2023 - [c38]Zhenxing Mi, Dan Xu:
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields. ICLR 2023 - [c37]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. ICME 2023: 2363-2368 - [i50]Fa-Ting Hong, Li Shen, Dan Xu:
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CoRR abs/2305.06225 (2023) - [i49]Fa-Ting Hong, Dan Xu:
Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation. CoRR abs/2307.09906 (2023) - [i48]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2308.03005 (2023) - 2022
- [j7]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2673-2688 (2022) - [c36]Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu:
Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CVPR 2022: 3387-3396 - [c35]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CVPR 2022: 4300-4309 - [c34]Zhenxing Mi, Di Chang, Dan Xu:
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo. CVPR 2022: 12981-12990 - [c33]Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. ECCV (11) 2022: 586-602 - [c32]Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. ECCV (11) 2022: 603-619 - [i47]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. CoRR abs/2202.00432 (2022) - [i46]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2203.02891 (2022) - [i45]Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu:
Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CoRR abs/2203.06605 (2022) - [i44]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR abs/2203.14098 (2022) - [i43]Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. CoRR abs/2207.02970 (2022) - [i42]Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. CoRR abs/2207.06540 (2022) - 2021
- [c31]Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang:
Delving Into Localization Errors for Monocular 3D Object Detection. CVPR 2021: 4721-4730 - [c30]Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang:
Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. CVPR 2021: 6022-6031 - [c29]Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang:
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks. ICCV 2021: 6484-6493 - [c28]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. ICCV 2021: 6964-6973 - [c27]Dan Xu, Andrea Vedaldi, João F. Henriques:
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. IROS 2021: 4611-4617 - [c26]Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng:
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization. ACM Multimedia 2021: 1591-1599 - [i41]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. CoRR abs/2101.02843 (2021) - [i40]Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci:
Variational Structured Attention Networks for Deep Visual Representation Learning. CoRR abs/2103.03510 (2021) - [i39]Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang:
Delving into Localization Errors for Monocular 3D Object Detection. CoRR abs/2103.16237 (2021) - [i38]Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang:
Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. CoRR abs/2103.16341 (2021) - [i37]Dan Xu, Andrea Vedaldi, João F. Henriques:
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. CoRR abs/2105.02195 (2021) - [i36]Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang:
Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks. CoRR abs/2105.03582 (2021) - [i35]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2107.11787 (2021) - [i34]Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng:
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization. CoRR abs/2107.12589 (2021) - [i33]Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu:
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection. CoRR abs/2107.13931 (2021) - [i32]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He:
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. CoRR abs/2108.02970 (2021) - [i31]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. CoRR abs/2108.02980 (2021) - [i30]Zhenxing Mi, Di Chang, Dan Xu:
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo. CoRR abs/2112.02338 (2021) - 2020
- [j6]Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2380-2395 (2020) - [j5]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets. IEEE Trans. Multim. 22(11): 2808-2819 (2020) - [c25]Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. CVPR 2020: 3723-3732 - [c24]Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe:
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. CVPR 2020: 7867-7876 - [i29]Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H. S. Torr, Nicu Sebe:
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. CoRR abs/2002.01048 (2020) - [i28]Hao Tang, Xiaojuan Qi, Dan Xu, Philip H. S. Torr, Nicu Sebe:
Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis. CoRR abs/2003.13898 (2020) - [i27]Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang:
Scope Head for Accurate Localization in Object Detection. CoRR abs/2005.04854 (2020)
2010 – 2019
- 2019
- [j4]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1426-1440 (2019) - [c23]Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. 3DV 2019: 18-26 - [c22]Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. CVPR 2019: 2417-2426 - [c21]Hao Tang, Xinya Chen, Wei Wang, Dan Xu, Jason J. Corso, Nicu Sebe, Yan Yan:
Attribute-Guided Sketch Generation. FG 2019: 1-7 - [c20]Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao:
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. ICCV 2019: 3788-3797 - [c19]Lu Sheng, Dan Xu, Wanli Ouyang, Xiaogang Wang:
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM. ICCV 2019: 4301-4310 - [c18]Hao Tang, Wei Wang, Songsong Wu, Xinya Chen, Dan Xu, Nicu Sebe, Yan Yan:
Expression Conditional Gan for Facial Expression-to-Expression Translation. ICIP 2019: 4449-4453 - [c17]Hao Tang, Dan Xu, Nicu Sebe, Yan Yan:
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. IJCNN 2019: 1-8 - [c16]Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan:
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. ACM Multimedia 2019: 2052-2060 - [c15]Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
Deep Micro-Dictionary Learning and Coding Network. WACV 2019: 386-395 - [i26]Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe:
Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CoRR abs/1901.04604 (2019) - [i25]Hao Tang, Xinya Chen, Wei Wang, Dan Xu, Jason J. Corso, Nicu Sebe, Yan Yan:
Attribute-Guided Sketch Generation. CoRR abs/1901.09774 (2019) - [i24]Hao Tang, Dan Xu, Nicu Sebe, Yan Yan:
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. CoRR abs/1903.12296 (2019) - [i23]Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation. CoRR abs/1904.06807 (2019) - [i22]Hao Tang, Wei Wang, Songsong Wu, Xinya Chen, Dan Xu, Nicu Sebe, Yan Yan:
Expression Conditional GAN for Facial Expression-to-Expression Translation. CoRR abs/1905.05416 (2019) - [i21]Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan:
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. CoRR abs/1908.00999 (2019) - [i20]Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. CoRR abs/1908.05794 (2019) - [i19]Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. CoRR abs/1908.06955 (2019) - [i18]Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao:
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. CoRR abs/1909.04366 (2019) - [i17]Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks. CoRR abs/1909.07667 (2019) - [i16]Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe:
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks. CoRR abs/1911.11897 (2019) - [i15]Hao Tang, Dan Xu, Hong Liu, Nicu Sebe:
Asymmetric Generative Adversarial Networks for Image-to-Image Translation. CoRR abs/1912.06931 (2019) - [i14]Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe:
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. CoRR abs/1912.12215 (2019) - 2018
- [b1]Dan Xu:
Exploring Multi-Modal and Structured Representation Learning for Visual Image and Video Understanding. University of Trento, Italy, 2018 - [j3]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval. IEEE Trans. Image Process. 27(9): 4410-4421 (2018) - [c14]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks. 3DV 2018: 587-595 - [c13]Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe:
Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation. ACCV (1) 2018: 3-21 - [c12]Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. CVPR 2018: 675-684 - [c11]Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci:
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. CVPR 2018: 3917-3925 - [c10]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe:
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation. CVPR 2018: 7083-7092 - [c9]Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang:
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. CVPR 2018: 8649-8658 - [c8]Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild. ACM Multimedia 2018: 774-782 - [i13]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. CoRR abs/1801.00524 (2018) - [i12]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Every Smile is Unique: Landmark-Guided Diverse Smile Generation. CoRR abs/1802.01873 (2018) - [i11]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks. CoRR abs/1803.00891 (2018) - [i10]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval. CoRR abs/1803.01504 (2018) - [i9]Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci:
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. CoRR abs/1803.11029 (2018) - [i8]Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. CoRR abs/1805.04409 (2018) - [i7]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks. CoRR abs/1807.10915 (2018) - [i6]Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild. CoRR abs/1808.04859 (2018) - [i5]Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
Deep Micro-Dictionary Learning and Coding Network. CoRR abs/1809.04185 (2018) - 2017
- [j2]Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe:
Detecting anomalous events in videos by learning deep representations of appearance and motion. Comput. Vis. Image Underst. 156: 117-127 (2017) - [j1]Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu:
Supervised Local Descriptor Learning for Human Action Recognition. IEEE Trans. Multim. 19(9): 2056-2065 (2017) - [c7]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CVPR 2017: 161-169 - [c6]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CVPR 2017: 484-492 - [c5]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CVPR 2017: 4236-4244 - [c4]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. NIPS 2017: 3961-3970 - [i4]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CoRR abs/1703.03937 (2017) - [i3]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CoRR abs/1704.02157 (2017) - [i2]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CoRR abs/1704.02431 (2017) - 2016
- [c3]Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition. ICPR 2016: 3228-3233 - [c2]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Academic Coupled Dictionary Learning for Sketch-based Image Retrieval. ACM Multimedia 2016: 1326-1335 - 2015
- [c1]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. BMVC 2015: 8.1-8.12 - [i1]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. CoRR abs/1510.01553 (2015)
Coauthor Index
[j8] [c39] [j7] [i41] [j6] [j5] [c24] [i29] [i28] [j4] [c23] [c22] [c21] [c18] [c17] [c16] [c15] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i17] [i16] [i15] [i14] [j3] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j2] [c7] [c6] [c5] [c4] [i4] [i3] [i2] [c3] [c2] [c1] [i1]