Preprints, Publications, and Technical Reports
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CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, and Kui Jia
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
paper / bibtex / arxiv
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SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images
Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, and Kui Jia
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
paper / bibtex / arxiv
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W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Zelin Xu, Ke Chen, and Kui Jia
ArXiv preprint, 2019
paper / bibtex / arxiv
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Selected Recent Publications
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HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, and Jiangbo Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021
paper / bibtex / arxiv
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Geometry-Aware Generation of Adversarial Point Clouds
Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, and Kui Jia
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2020
paper / bibtex / arxiv
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Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, and Kui Jia
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2020
paper / bibtex / arxiv
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Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, and Kui Jia
Neural Information Processing Systems (NeurIPS), 2020
paper / bibtex
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Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, and Zhixin Yang
IEEE Transactions on Cybernetics, Accepted, 2020
paper / bibtex / arxiv
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Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille
European Conference on Computer Vision (ECCV), 2020
paper / bibtex
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Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang, Bin Deng, Kui Jia, and Lei Zhang
European Conference on Computer Vision (ECCV), 2020 Spotlight Presentation
paper / bibtex / talk video / code
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Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei and Kui Jia
International Conference on Machine Learning (ICML), 2020
paper / bibtex / slides / talk video / code (to release soon)
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Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen, Shuai Li, and Kui Jia
International Conference on Machine Learning (ICML), 2020
paper / bibtex / slides / talk video
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Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang, Ke Chen, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Oral Presentation
paper / bibtex / slides / talk video / code
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MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, and Wei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
paper / bibtex / talk video / code
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Discriminative Adversarial Domain Adaptation
Hui Tang and Kui Jia
AAAI Conference on Artificial Intelligence (AAAI), 2020
paper / bibtex / code
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Orthogonal Deep Neural Networks
Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, and Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2019
paper / bibtex / code / new/we media
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Part-Aware Fine-grained Visual Categorization using Weakly Supervised Part Detection Network
Yabin Zhang, Kui Jia, and Zhixin Wang
IEEE Transactions on Multimedia (TMM), Accepted, 2019
paper / bibtex / code
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Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
Kui Jia, Jiehong Lin, Mingkui Tan, and Dacheng Tao
IEEE Transactions on Image Processing (TIP), Accepted, 2019
paper / bibtex / code
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Canonical Correlation Analysis Regularization: An Effective Deep Multi-View Learning Baseline for RGB-D Object Recognition
Lulu Tang, Zhi-Xin Yang, and Kui Jia
IEEE Transactions on Cognitive and Developmental Systems, Vol. 11, No. 1, pp. 107-118, 2019
paper / bibtex
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Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images
Huiqun Wang, Di Huang, Kui Jia, and Yunhong Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, No. 1, pp. 93-103, 2019
paper
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Cascading Convolutional Color Constancy
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, and Kui Jia
AAAI Conference on Artificial Intelligence (AAAI), 2019
paper / bibtex / code
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Multi-marginal Wasserstein GAN
Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, and Mingkui Tan
Advances in Neural Information Processing Systems (NeurIPS), 2019
paper / bibtex / code
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Deep Cascade Generation on Point Sets
Kaiqi Wang, Ke Chen, and Kui Jia
International Joint Conference on Artificial Intelligenc (IJCAI), 2019
paper / bibtex / code
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PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu, Yuwei Li, Lihua Guo, and Kui Jia
IEEE International Conference on Computer Vision (ICCV), 2019
paper / bibtex
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Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, and Kui Jia
IEEE International Conference on Computer Vision (ICCV), 2019
paper / bibtex / code
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HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, and Jiangbo Lu
IEEE International Conference on Computer Vision (ICCV), 2019
paper / bibtex
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A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, and Xin Tong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Oral Presentation, Best Paper Finalists
paper / bibtex / code
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Domain-Symmetric Networks for Adversarial Domain Adaptation
Yabin Zhang, Hui Tang, Kui Jia, and Mingkui Tan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
paper / bibtex / code
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Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Zhixin Wang and Kui Jia
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
paper / bibtex / code / demo video
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Efficient 3D Visual Perception for Robotic Rock Breaking
Longchuan Niu, Ke Chen, Kui Jia, and Jouni Mattila
IEEE International Conference on Automation Science and Engineering (CASE), 2019
paper / bibtex
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Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction
Junyi Pan, Jun Li, Xiaoguang Han, Kui Jia
3DV, 2018
paper / bibtex
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Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang, Hui Tang, and Kui Jia
European Conference on Computer Vision (ECCV), 2018
paper / bibtex / code
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Improving training of deep neural networks via Singular Value Bounding
Kui Jia, Dacheng Tao, Shenghua Gao, and Xiangmin Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
paper / bibtex / code
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Lattice Long Short-Term Memory for Human Action Recognition
Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram Shi, and Silvio Savarese
IEEE International Conference on Computer Vision (ICCV), 2017
paper / bibtex
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A Joint Intrinsic-Extrinsic Prior Model for Retinex
Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, and Dacheng Tao
IEEE International Conference on Computer Vision (ICCV), 2017
paper / bibtex / code
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Selected Publications before 2017
More publications can be found at here.
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