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ORCIDXu Jia 0012
Person information
- affiliation: Dalian University of Technology, School of Artificial Intelligence and the School of Futher Technology, China
- affiliation (former): Huawei, Noah' Ark Lab
- affiliation (former): KU Leuven, Belgium
Other persons with the same name
- Jia Xu (aka: Xu Jia) — disambiguation page
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2020 – today
- 2024
[j13]Tianhong Dai
, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-based network for high dynamic range imaging. Comput. Vis. Image Underst. 238: 103881 (2024)- [j12]Xinyu Zhang, Hefei Huang, Xu Jia, Dong Wang, Lihe Zhang, Bolun Zheng, Wei Zhou, Huchuan Lu:
Neural image re-exposure. Comput. Vis. Image Underst. 248: 104094 (2024) - [j11]Yangguang Wang, Chenxu Jiang, Xu Jia, Yufei Guo, Lei Yu:
Event-Based Shutter Unrolling and Motion Deblurring in Dynamic Scenes. IEEE Signal Process. Lett. 31: 1069-1073 (2024) - [j10]Shuai Hao, Shuai Liu, Xu Jia, Huchuan Lu, You He:
Efficient Adaptive Feature Fusion Network for Remote-Sensing Image Super-Resolution. IEEE Signal Process. Lett. 31: 3089-3093 (2024) - [j9]Pengyu Zhang, Hao Ju, Lei Yu, Weihua He, Yaoyuan Wang, Ziyang Zhang, Qi Xu, Shengming Li, Dong Wang, Huchuan Lu, Xu Jia:
Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding. IEEE Trans. Image Process. 33: 5824-5836 (2024) - [c46]Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen:
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory. CVPR 2024: 28729-28740 - [c45]Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen:
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning. ECCV (44) 2024: 75-95 - [c44]Pengyu Zhang, Hao Yin, Zeren Wang, Wenyue Chen, Shengming Li, Dong Wang, Huchuan Lu, Xu Jia:
EvSign: Sign Language Recognition and Translation with Streaming Events. ECCV (5) 2024: 335-351 - [c43]Xinyu Zhang, Hefei Huang, Xu Jia, Wenyue Chen, Dong Wang, Shengming Li, Huchuan Lu:
Multi-Stage Fusion for Event-based Multimodal Tracker. ICME 2024: 1-6 - [c42]Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu:
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models. ACM Multimedia 2024: 3421-3430 - [c41]Hefei Huang, Xu Jia, Xinyu Zhang, Shengming Li, Huchuan Lu:
Event-Guided Rolling Shutter Correction with Time-Aware Cross-Attentions. ACM Multimedia 2024: 5230-5239 - [c40]Mengmeng Ge, Xu Jia, Takashi Isobe, Xiaomin Li, Qinghe Wang, Jing Mu, Dong Zhou, Li Wang, Huchuan Lu, Lu Tian, Ashish Sirasao, Emad Barsoum:
Customizing Text-to-Image Generation with Inverted Interaction. ACM Multimedia 2024: 10901-10909 - [c39]Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp:
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. NAACL-HLT (Findings) 2024: 4303-4317 - [c38]Yuheng Huang, Xu Jia, Xin Su, Lu Zhang, Xiaomin Li, Qinghe Wang, Huchuan Lu:
Video Frame Interpolation for Large Motion with Generative Prior. PRCV (10) 2024: 402-415 - [i43]Qinghe Wang, Xu Jia, Xiaomin Li, Taiqing Li, Liqian Ma, Yunzhi Zhuge, Huchuan Lu:
StableIdentity: Inserting Anybody into Anywhere at First Sight. CoRR abs/2401.15975 (2024) - [i42]Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR abs/2404.10595 (2024) - [i41]Qinghe Wang, Baolu Li, Xiaomin Li, Bing Cao, Liqian Ma, Huchuan Lu, Xu Jia:
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models. CoRR abs/2404.15677 (2024) - [i40]Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, Yonghong Tian:
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. CoRR abs/2405.20224 (2024) - [i39]Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen:
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning. CoRR abs/2407.07523 (2024) - [i38]Pengyu Zhang, Hao Yin, Zeren Wang, Wenyue Chen, Shengming Li, Dong Wang, Huchuan Lu, Xu Jia:
EvSign: Sign Language Recognition and Translation with Streaming Events. CoRR abs/2407.12593 (2024) - 2023
- [j8]Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H. Elder, Huchuan Lu:
A uniform transformer-based structure for feature fusion and enhancement for RGB-D saliency detection. Pattern Recognit. 140: 109516 (2023) - [j7]Zexi Jia, Kaichao You, Weihua He, Yang Tian, Yongxiang Feng, Yaoyuan Wang, Xu Jia, Yihang Lou, Jingyi Zhang, Guoqi Li, Ziyang Zhang:
Event-Based Semantic Segmentation With Posterior Attention. IEEE Trans. Image Process. 32: 1829-1842 (2023) - [c37]Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu:
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. AAAI 2023: 2492-2500 - [c36]Yingwei Wang, Takashi Isobe, Xu Jia, Xin Tao, Huchuan Lu, Yu-Wing Tai:
Compression-Aware Video Super-Resolution. CVPR 2023: 2012-2021 - [c35]Jianchuan Chen, Wentao Yi, Liqian Ma, Xu Jia, Huchuan Lu:
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields from Multi-View Images. CVPR 2023: 20648-20658 - [c34]Shuai Hao, Jialin Yang, Xu Jia, You He, Huchuan Lu:
Image Super-Resolution with Implicit Texture Pattern Modulation. ICME 2023: 1247-1252 - [i37]Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu:
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. CoRR abs/2303.09919 (2023) - [i36]Jianchuan Chen, Wentao Yi, Liqian Ma, Xu Jia, Huchuan Lu:
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images. CoRR abs/2303.13777 (2023) - [i35]Xinyu Zhang, Hefei Huang, Xu Jia, Dong Wang, Huchuan Lu:
Neural Image Re-Exposure. CoRR abs/2305.13593 (2023) - [i34]Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen:
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory. CoRR abs/2308.14316 (2023) - [i33]Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp:
GenTKG: Generative Forecasting on Temporal Knowledge Graph. CoRR abs/2310.07793 (2023) - [i32]Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. CoRR abs/2312.00651 (2023) - 2022
- [j6]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [j5]Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising. IEEE Trans. Image Process. 31: 4023-4038 (2022) - [c33]Yue Wang, Jiawen Ming, Xu Jia, James H. Elder, Huchuan Lu:
Blind Image Super-Resolution with Degradation-Aware Adaptation. ACCV (3) 2022: 69-85 - [c32]Yun-Zhi Zhuge, Xu Jia:
Multi-granularity Transformer for Image Super-Resolution. ACCV (3) 2022: 138-154 - [c31]Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang:
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CVPR 2022: 11583-11593 - [c30]Takashi Isobe, Xu Jia, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai:
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling. CVPR 2022: 17390-17399 - [c29]Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen:
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement. CVPR 2022: 17501-17510 - [c28]Weihua He, Kaichao You, Zhendong Qiao, Xu Jia, Ziyang Zhang, Wenhui Wang, Huchuan Lu, Yaoyuan Wang, Jianxing Liao:
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. CVPR 2022: 17783-17792 - [c27]Yongjie Shi, Songjiang Li, Xu Jia, Jianzhuang Liu:
Refactoring ISP for High-Level Vision Tasks. ICRA 2022: 2366-2372 - [i31]Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang:
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CoRR abs/2203.09744 (2022) - [i30]Xiaodong Cun, Zhendong Wang, Chi-Man Pun, Jianzhuang Liu, Wengang Zhou, Xu Jia, Houqiang Li:
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy. CoRR abs/2203.11068 (2022) - [i29]Weihua He, Kaichao You, Zhendong Qiao, Xu Jia, Ziyang Zhang, Wenhui Wang, Huchuan Lu, Yaoyuan Wang, Jianxing Liao:
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. CoRR abs/2203.13859 (2022) - [i28]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR abs/2204.01267 (2022) - [i27]Takashi Isobe, Xu Jia, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai:
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling. CoRR abs/2204.07114 (2022) - [i26]Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen:
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement. CoRR abs/2204.13983 (2022) - 2021
- [j4]Xiyuan Hu, Zhenfeng Fan, Xu Jia, Zhihui Li, Xuyun Zhang, Lianyong Qi, Zuxing Xuan:
Towards effective learning for face super-resolution with shape and pose perturbations. Knowl. Based Syst. 220: 106938 (2021) - [j3]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021) - [c26]Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang:
Multi-Target Domain Adaptation With Collaborative Consistency Learning. CVPR 2021: 8187-8196 - [c25]Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu:
Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation. CVPR 2021: 11008-11017 - [c24]Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu:
Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation. CVPR 2021: 11018-11027 - [c23]Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images. CVPR 2021: 14781-14790 - [c22]Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu:
Motion Deblurring with Real Events. ICCV 2021: 2563-2572 - [c21]Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. ICCV 2021: 9971-9980 - [c20]Yuan Ji, Xu Jia, Huchuan Lu, Xiang Ruan:
Weakly-Supervised Temporal Action Localization via Cross-Stream Collaborative Learning. ACM Multimedia 2021: 853-861 - [i25]Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images. CoRR abs/2101.02824 (2021) - [i24]Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu:
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation. CoRR abs/2103.04705 (2021) - [i23]Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu:
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation. CoRR abs/2103.04717 (2021) - [i22]Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang:
Multi-Target Domain Adaptation with Collaborative Consistency Learning. CoRR abs/2106.03418 (2021) - [i21]Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. CoRR abs/2107.14447 (2021) - [i20]Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-Based Network For High Dynamic Range Imaging. CoRR abs/2108.01434 (2021) - [i19]Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu:
Motion Deblurring with Real Events. CoRR abs/2109.13695 (2021) - [i18]Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H. Elder, Huchuan Lu:
Transformer-based Network for RGB-D Saliency Detection. CoRR abs/2112.00582 (2021) - 2020
- [c19]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. AAAI 2020: 12007-12014 - [c18]Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops 2020: 1924-1933 - [c17]Lin Liu, Xu Jia, Jianzhuang Liu, Qi Tian:
Joint Demosaicing and Denoising With Self Guidance. CVPR 2020: 2237-2246 - [c16]Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian:
Learning to Select Base Classes for Few-Shot Classification. CVPR 2020: 4623-4632 - [c15]Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-Resolution With Temporal Group Attention. CVPR 2020: 8005-8014 - [c14]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [c13]Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian:
Video Super-Resolution with Recurrent Structure-Detail Network. ECCV (12) 2020: 645-660 - [c12]Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716 - [i17]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i16]Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian:
Learning to Select Base Classes for Few-shot Classification. CoRR abs/2004.00315 (2020) - [i15]Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-resolution with Temporal Group Attention. CoRR abs/2007.10595 (2020) - [i14]Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian:
Video Super-Resolution with Recurrent Structure-Detail Network. CoRR abs/2008.00455 (2020) - [i13]Takashi Isobe, Fang Zhu, Xu Jia, Shengjin Wang:
Revisiting Temporal Modeling for Video Super-resolution. CoRR abs/2008.05765 (2020)
2010 – 2019
- 2019
- [c11]Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation From Single Semantic Label Map. CVPR 2019: 3733-3742 - [c10]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. ICCV 2019: 3234-3243 - [c9]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. ICLR (Poster) 2019 - [i12]Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation from Single Semantic Label Map. CoRR abs/1903.04480 (2019) - [i11]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. CoRR abs/1907.10804 (2019) - [i10]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR abs/1909.08383 (2019) - [i9]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. CoRR abs/1909.11409 (2019) - [i8]Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR abs/1910.02593 (2019) - 2018
- [c8]Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CVPR Workshops 2018: 998-1006 - [i7]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR abs/1805.11145 (2018) - 2017
- [j2]Fu Li, Xu Jia, Cheng Xiang, Huchuan Lu:
Visual tracking with structured patch-based model. Image Vis. Comput. 60: 124-133 (2017) - [c7]Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. NIPS 2017: 406-416 - [i6]Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. CoRR abs/1705.09368 (2017) - [i5]Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CoRR abs/1712.03812 (2017) - [i4]Xu Jia, Hong Chang, Tinne Tuytelaars:
Super-Resolution with Deep Adaptive Image Resampling. CoRR abs/1712.06463 (2017) - 2016
- [j1]Xu Jia, Huchuan Lu, Ming-Hsuan Yang:
Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models. IEEE Trans. Image Process. 25(10): 4555-4564 (2016) - [c6]Xu Jia, Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars:
Towards Automatic Image Editing: Learning to See another You. BMVC 2016 - [c5]Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc Van Gool:
Dynamic Filter Networks. NIPS 2016: 667-675 - [i3]Bert De Brabandere, Xu Jia, Tinne Tuytelaars, Luc Van Gool:
Dynamic Filter Networks. CoRR abs/1605.09673 (2016) - 2015
- [c4]Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars:
Guiding the Long-Short Term Memory Model for Image Caption Generation. ICCV 2015: 2407-2415 - [c3]Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars:
Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog. ICMR 2015: 395-402 - [i2]Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars:
Guiding Long-Short Term Memory for Image Caption Generation. CoRR abs/1509.04942 (2015) - [i1]Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars:
Towards Automatic Image Editing: Learning to See another You. CoRR abs/1511.08446 (2015) - 2012
- [c2]Xu Jia, Huchuan Lu, Ming-Hsuan Yang:
Visual tracking via adaptive structural local sparse appearance model. CVPR 2012: 1822-1829 - [c1]Xu Jia, Dong Wang, Huchuan Lu:
Fragment-based tracking using online multiple kernel learning. ICIP 2012: 393-396
Coauthor Index
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