贾 旭Jia, Xu

Associate Professor, Ph.D.
Curriculum Vitae

School of Artificial Intelligence
Dalian University of Technology
xjia at dlut dot edu dot cn
jiayushenyang at gmail dot com
Biography

I am currently an Associate Professor in the School of Artificial Intelligence at DUT. Before that, I worked as a Senior Research Engineer in Noah' Ark Lab in Huawei with Prof. Qi Tian and Prof. Jianzhuang Liu. I received my Ph.D degree from PSI/VISICS group of KU Leuven under the supervision of Prof. Tinne Tuytelaars and Prof. Luc Van Gool in 2018 and had the opportunity to work with Prof. Efstratios Gavves and Dr. Basura Fernando. I obtained both my Master and Bachelor degree from Dalian University of Technology. I was supervised by Prof. Huchuan Lu and had the opportunity to work with Prof. Ming-Hsuan Yang. My current research focuses on computer vision, digital image processing and machine learning, specifically on image/video enhancement, image/video generation, domain adaptation, unsupervised/semi-supervised learning, and bio-inspired vision system.

[LinkedIn] [GoogleScholar] [ResearchGate] [学校中文主页]

Welcome

I am looking for self-motivated PhD/Master students, RAs and interns to join my group. Please drop me an email with your CV if you are interested.

News
  • [2024.09] Two papers are accepted by TIP and TNNLS.
  • [2024.09] Will serve as Area Chair for ICLR 2025.
  • [2024.08] Two papers are accepted by TCSVT and CVIU.
  • [2024.07] Five papers are accepted by ACM MM 2024 and ECCV 2024.
  • [2024.05] Co-organize the “Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving” workshop (W-CODA2024) at ECCV 2024.
  • [2024.03] Two paper are accepted by CVPR 2024 and ICME 2024.
  • [2024.01] One paper is accepted by CVIU.
  • [2023.12] Co-organize Special Session on Advances in Neuromorphic Vision in ICME 2024.
  • [2023.10] One paper is accepted by TNNLS.
  • [2023.09] Will serve as Area Chair for ICLR 2024.
  • [2023.03] Four papers are accepted by CVPR 2023, ICME 2023 and Pattern Recognition.
  • [2023.02] One paper is accepted by TIP.
  • [2022.11] One paper is accepted by AAAI 2023.
  • [2022.09] Two papers are accepted by ACCV 2022.
  • [2022.06] 1st place winner in partial human body recovery and 1st place overall of SHApe Recovery from Partial textured 3D scans (SHARP) Challenge! Congrats on Jianchuan and Wentao!
  • [2022.05] Work on Neighbor2Neighbor is accepted by TIP.
  • [2022.03] Four papers are accepted by CVPR 2022.
  • [2022.02] Four papers are accepted by ICRA 2022.
  • [2021.08] One papers is accepted by ACM MM 2021.
  • [2021.07] Two papers are accepted by ICCV 2021.
  • [2021.03] Four papers are accepted by CVPR 2021.
  • [2021.01] Work on continual learning is accepted by TPAMI.
  • [2021.01] Co-organize the 2nd Continual Learning in Computer Vision Workshop in CVPR 2021. Link
  • [2020.12] Join Dalian University of Technology as tenured Associate Professor!
  • [2020.07] Two papers are accepted by ECCV 2020.
  • [2020.04] We won the 2nd place on NTIRE 2020 Real World Super-Resolution Challenge.
  • [2020.03] Four papers are accepted by CVPR 2020.
  • [2019.11] One paper is accepted by AAAI 2020.
  • [2019.07] One paper is accepted by ICCV 2019.
  • [2019.03] One paper is accepted by CVPR 2019.
  • [2019.02] One paper is accepted by ICLR 2019.
  • [2018.04] Got my PhD degree from KU Leuven and please call me Dr. Jia!
  • [2017.09] One paper is accepted by NIPS 2017.
  • [2016.10-2017.01] Software Engineering internship at Google Inc.
  • [2016.08] One paper is accepted by NIPS 2016.
  • [2016.07] One paper is accepted by BMVC 2016.
  • [2016.05] Finalist of Qualcomm Innovation Fellowship Europe 2016.
  • [2015.09] One paper is accepted by ICCV 2015.
  • [2015.03] One paper is accepted by ICMR 2015.
Supervised Students
  • Dongsheng Wang (now PhD at SJTU)
  • Jianchuan Chen (now Alibaba Taotian)
  • Yuan Ji (now Software engineer at Microsoft)
  • Ruihuang Li (now PhD student at Hong Kong Polytechnic University)
  • Weihua He (now PhD student at Tsinghua University)
  • Fang Xu (now PhD student at Wuhan University)
  • Yongjie Shi (now PhD student at Peking University)
  • Tao Huang (now PhD student at Renmin University of China)
  • Linjun Zhou (now Engineer at AntGroup)
  • Zhenfeng Fan (now assistant researcher at ICT, CAS)
  • Takashi Isobe (now Researcher at AMD)
  • Zhen Han (now PhD student at KTH)
  • Enyan Dai (now Assistant Professor at HKUST-GZ)
  • Tianxiang Zhao (now PhD student at Pennsylvania State University)
  • Junting Pan (now PhD student at CUHK)
Acdademic Service
  • CO-organizer of the “Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving” workshop (W-CODA2024) at ECCV 2024.
  • Co-organizer of Special Session on Advances in Neuromorphic Vision at ICME 2024.
  • Area Chair for ICLR 2024.
  • Co-organizer of the 2nd Continual Learning in Computer Vision Workshop in CVPR 2021.
  • Publicity Chair for IUCC 2021.
  • reviewer for TPAMI, TIP, IJCV, TCSVT, PR
  • reviewer for NIPS2016-2023, ICML 2018-2023, ECCV 2018-2022, ICLR 2019-2023, CVPR 2019-2023, ICCV 2019-2023, IJCAI 2019, AAAI 2019-2023
Publications
Journal

  • Neural image re-exposure
    Xinyu Zhang, Hefei Huang, Xu Jia, Dong Wang, Lihe Zhang, Bolun Zheng, Wei Zhou, Huchuan Lu
    Computer Vision and Image Understanding (CVIU), 2024.
    DOI: 10.1016/j.cviu.2024.104094

  • Wavelet-based network for high dynamic range imaging
    Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
    Computer Vision and Image Understanding (CVIU), 238:103881, 2024.

  • Deformable Dynamic Sampling and Dynamic Predictable Mask Mining for Image Inpainting
    Shang Cai , Zeng Yu , Yang Shu , Xu Jia*, Huchuan Lu , He You
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
    DOI: 10.1109/TNNLS.2023.3316123

  • Event-based Semantic Segmentation with Posterior Attention
    Zexi Jia, Kaichao You, Weihua He, Yang Tian, Yongxiang Feng, Yaoyuan Wang, Xu Jia, Yihang Lou, Jingyi Zhang, Guoqi Li, Ziyang Zhang
    IEEE Transactions on Image Processing (TIP), 32:1829-1842, 2023.

  • A uniform transformer-based structure for feature fusion and enhancement for RGB-D saliency detection
    Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H Elder, Huchuan Lu
    Pattern Recognition (PR), 140:109516, 2023.

  • Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising
    Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu
    IEEE Transactions on Image Processing (TIP), 31: 4023-4038, 2022.

  • Towards effective learning for face super-resolution with shape and pose perturbations
    Xiyuan Hu, Zhenfeng Fan, Xu Jia, Zhihui Li, Xuyun Zhang, Lianyong Qi, Zuxing Xuan
    Knowledge-Based Systems, 220:106938, 2021.

  • FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty
    Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool
    IEEE Robotics and Automation Letters (RA-L), 6(3):4321-4328, 2021

  • A continual learning survey: Defying forgetting in classification tasks
    Matthias Delange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Greg Slabaugh, Tinne Tuytelaars
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(7):3366-3385, 2022.

  • Visual tracking with structured patch-based model
    Fu Li, Xu Jia, Cheng Xiang, Huchuan Lu
    Image Vision Computing (IVC), 60:124-133, 2017.

  • Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models
    Xu Jia, Huchuan Lu, Ming-Hsuan Yang
    IEEE Transactions on Image Processing (TIP), 25(10):4555-4564, 2016.
Conference

  • Customizing Text-to-Image Generation with Inverted Interaction
    mengmeng Ge, Xu Jia*, Takashi Isobe, Xiaomin Li, Qinghe Wang, Jing Mu, Dong Zhou, liwang Amd, Huchuan Lu, Lu Tian, Ashish Sirasao, Emad Barsoum
    ACM Multimedia (ACM MM), 2024.

  • Event-Guided Rolling Shutter Correction with Time-Aware Cross-Attentions
    Hefei Huang, Xu Jia*, Xinyu Zhang, Shengming Li, Huchuan Lu
    ACM Multimedia (ACM MM), 2024.

  • MoTrans: Customized Motion Transfer with Text-Driven Video Diffusion Models
    Xiaomin Li, Xu Jia*, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu
    ACM Multimedia (ACM MM), 2024.

  • Multi-Stage Fusion for Event-based Multimodal Tracker
    Xinyu Zhang, Hefei Huang, Xu Jia*, Wenyue Chen, Dong Wang, Shengming Li, Huchuan Lu
    IEEE International Conference on Multimedia and Expo (ICME), 2024.

  • EvSign: Sign Language Recognition and Translation with Streaming Events
    Pengyu Zhang, Hao Yin, Zeren Wang, Wenyue Chen, Shengming Li, Dong Wang, Huchuan Lu, and Xu Jia*
    European Conference on Computer Vision (ECCV), 2024.

  • SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
    Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen
    European Conference on Computer Vision (ECCV), 2024.

  • UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
    Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  • GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images
    Jianchuan Chen, Wentao Yi, Liqian Ma, Xu Jia, Huchuan Lu
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Compression-Aware Video Super-Resolution
    Yingwei Wang, Xu Jia*, Xin Tao, Takashi Isobe, Huchuan Lu, Yu-Wing Tai
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Image Super-Resolution with Implicit Texture Pattern Modulation
    Shuai Hao, Jialin Yang, Xu Jia*, You He, Huchuan Lu*
    * denotes equal corresponding author.
    IEEE International Conference on Multimedia and Expo (ICME), 2023.

  • Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
    Dongsheng Wang, Xu Jia*, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu*
    * denotes equal corresponding author.
    AAAI Conference on Artificial Intelligence (AAAI), 2023.

  • Refactoring ISP for High-Level Vision Tasks
    Yongjie Shi, Songjiang Li, Xu Jia, Jianzhuang Liu
    International Conference on Robotics and Automation (ICRA), 2022.

  • Multi-granularity Transformer for Image Super-resolution
    Yunzhi Zhuge, Xu Jia*
    * denotes corresponding author.
    Asian Conference on Computer Vision (ACCV), 2022.

  • Blind Image Super-Resolution with Degradation-Aware Adaptation
    Yue Wang, Jiawen Ming, Xu Jia*, James H Elder, Huchuan Lu*
    * denotes equal corresponding author.
    Asian Conference on Computer Vision (ACCV), 2022.

  • Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling
    Takashi Isobe, Xu Jia*, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai*
    * denotes equal corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
    Weihua He, Kaichao You, Zhendong Qiao, Xu Jia*, Ziyang Zhang*, Wenhui Wang*, Huchuan Lu, Yaoyuan Wang, Jianxing Liao
    * denotes equal corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement
    Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
    Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • Weakly-Supervised Temporal Action Localization via Cross-Stream Collaborative Learning
    Yuan Ji, Xu Jia*, Huchuan Lu*, Xiang Ruan
    * denotes equal corresponding author.
    ACM Multimedia (ACM MM), 2021.

  • Motion Deblurring with Real Events
    Fang Xu, Lei Yu*, Bishan Wang, Wen Yang*, Gui-Song Xia, Xu Jia*, Zhendong Qiao, Jianzhuang Liu
    * denotes equal corresponding author.
    International Conference on Computer Vision (ICCV), 2021.
    [paper]

  • T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation
    Ruihuang Li, Xu Jia*, Jianzhong He, Shuaijun Chen, Qinghua Hu*
    * denotes equal corresponding author.
    International Conference on Computer Vision (ICCV), 2021.
    [paper]

  • Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
    Tao Huang, Songjiang Li, Xu Jia*, Huchuan Lu, Jianzhuang Liu
    * denotes corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [paper][supplemantary]

  • Multi-Target Domain Adaptation with Collaborative Consistency Learning
    Takashi Isobe, Xu Jia*, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang*
    * denotes equal corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [paper]

  • Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
    Jianzhong He, Xu Jia*, Shuaijun Chen, Jianzhuang Liu
    * denotes corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [paper]

  • Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
    Shuaijun Chen#, Xu Jia#, Jianzhong He, Yongjie Shi, Jianzhuang Liu
    # denotes equal contribution to this work and are listed in alphabetical order
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [paper]

  • Video Super-Resolution with Recurrent Structure-Detail Network
    Takashi Isobe, Xu Jia*, Shuhang Gu, Songjiang Li, Shengjin Wang*, Qi Tian
    * denotes equal corresponding author.
    European Conference on Computer Vision (ECCV), 2020.
    [paper]

  • More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning
    Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars
    European Conference on Computer Vision (ECCV), 2020.
    [paper]

  • Video Super-resolution with Temporal Group Attention
    Takashi Isobe, Songjiang Li, Xu Jia*, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang*, Qi Tian
    * denotes equal corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper]

  • Joint Demosaicing and Denoising with Self Guidance
    Lin Liu, Xu Jia*, Jianzhuang Liu, Qi Tian
    * denotes corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper]

  • Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem
    Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper]

  • Learning to Select Base Classes for Few-shot Classification
    Linjun Zhou, Peng Cui*, Xu Jia*, Shiqiang Yang, Qi Tian
    * denotes equal corresponding author.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper]

  • Efficient Residual Dense Block Search for Image Super-Resolution
    Dehua Song, Chang Xu#, Xu Jia#, Yiyi Chen, Chunjing Xu, Yunhe Wang
    AAAI Conference on Artificial Intelligence (AAAI), 2020.
    # denotes equal contribution.
    [paper]

  • Co-Evolutionary Compression for Unpaired Image Translation
    Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
    International Conference on Computer Vision (ICCV), 2019.
    [paper][code]

  • Video Generation from Single Semantic Label Map
    Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    [paper]

  • Exemplar Guided Unsupervised Image-to-Image Translation
    Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
    ICLR, 2019[pdf][code]

  • Super-Resolution with Deep Adaptive Image Resampling
    Xu Jia, Hong Chang, Tinne Tuytelaars
    arXiv: 1712.06463v1[pdf]

  • Error Correction for Dense Semantic Image Labeling
    Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
    IEEE International Conference on Computer Vision and Pattern Recognition, Autonomous Driving Workshop (CVPRW), 2018.
    [pdf]

  • Pose Guided Person Image Generation
    Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool
    Neural Information Processing Systems (NIPS), 2017. Accepted as poster.
    [pdf][supplementary material][code]

  • Dynamic Filter Networks
    Bert De Brabandere#, Xu Jia#, Tinne Tuytelaars, Luc Van Gool
    # denotes equal contribution to this work and are listed in alphabetical order
    Neural Information Processing Systems (NIPS), 2016. Accepted as poster.
    [pdf][supplementary material][code]

  • Towards Automatic Image Editing: Learning to See another You
    Amir Ghodrati#, Xu Jia#, Marco Pedersoli, Tinne Tuytelaars
    # denotes equal contribution to this work and are listed in alphabetical order
    British Machine Vision Conference (BMVC), 2016. Accepted as poster.
    [paper][supplementary material][code]

  • Guiding Long-Short Term Memory for Image Caption Generation
    Xu Jia, Stratis Gavves, Basura Fernando, Tinne Tuytelaars
    International Conference on Computer Vision (ICCV), 2015.
    [paper][code]

  • Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog
    Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars
    International Conference on Multimedia Retrieval, (ICMR), pp. 395--402, 2015.
    [paper]

  • Visual Tracking via Adaptive Structural Local Sparse Appearance Model
    Xu Jia, Huchuan Lu, Ming-Hsuan Yang
    IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR), pp. 1822--1829, 2012.
    [paper][code][project]

  • Fragment-based Tracking Using Online Multiple Kernel Learning
    Xu Jia, Dong Wang, Huchuan Lu
    2012 International Conference on Image Processing (ICIP), pp. 393--396, 2012.
    [paper]
Last updated on January. 2018