Preprints, Publications, and Technical Reports

Surface Reconstruction from Point Clouds: A Survey and a Benchmark
Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, and Kui Jia
Revised for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
project page (with paper, code, and dataset)

CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, and Kui Jia
ArXiv preprint, 2020
paper / bibtex / arxiv

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Zelin Xu, Ke Chen, and Kui Jia
ArXiv preprint, 2019
paper / bibtex / arxiv

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page (with paper and code)

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
Jiehong Lin, Lihua Liu, Dekun Lu, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page (with paper and code)

Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, and Jun Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page (with paper and code)

GS-IR: 3D Gaussian Splatting for Inverse Rendering
Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page (with paper and code)

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularizad Self-Training
Yongyi Su, Xun Xu, Tianrui Li, and Kui Jia
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2024
Paper and Code

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, and Kui Jia
IEEE International Conference on Computer Vision (ICCV), 2023
project page (with paper and code)

On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yushu Li, Xun Xu, Yongyi Su, and Kui Jia
IEEE International Conference on Computer Vision (ICCV), 2023
Oral Presentation
project page (with paper and code)

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Jiehong Lin, Zewei Wei, Yabin Zhang, and Kui Jia
IEEE International Conference on Computer Vision (ICCV), 2023
project page (with paper and code)

Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
project page (with paper and code)

A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
Hui Tang and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
project page (with paper, code, and dataset)

HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization
Zhihao Liang, Zhangjin Huang, Changxing Ding, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
project page (with paper and code)

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning
Yongyi Su, Xun Xu, and Kui Jia
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
paper

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, and Kui Jia
Neural Information Processing Systems (NeurIPS), 2022
paper / Supp. material / bibtex

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su, Xun Xu, and Kui Jia
Neural Information Processing Systems (NeurIPS), 2022
paper / Supp. material / bibtex

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, and Kui Jia
European Conference on Computer Vision (ECCV), 2022
paper / Supp. material / bibtex

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
Hongyang Li, Jiehong Lin, and Kui Jia
European Conference on Computer Vision (ECCV), 2022
paper / Supp. material / bibtex

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks
Jiehong Lin, Zewei Wei, Changxing Ding, and Kui Jia
European Conference on Computer Vision (ECCV), 2022
paper / bibtex

Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
Hui Tang, Lin Sun, and Kui Jia
European Conference on Computer Vision (ECCV), 2022
paper / Supp. material / bibtex

Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning
Hui Tang and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper / bibtex

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, and Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Oral Presentation
paper / bibtex / code

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
Shengheng Deng, Zhihao Liang, Lin Sun, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper / bibtex / code

Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
Jiabao Lei, Kui Jia, and Yi Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021
paper / arxiv / bibtex / code

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, and Kui Jia
Neural Information Processing Systems (NeurIPS), 2021
paper / bibtex / code

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, and Yuanqing Li
IEEE International Conference on Computer Vision (ICCV) , 2021
paper / bibtex

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, and Kui Jia
IEEE International Conference on Computer Vision (ICCV) , 2021
paper / bibtex

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
Longkun Zou, Hui Tang, Ke Chen, and Kui Jia
IEEE International Conference on Computer Vision (ICCV) , 2021
paper / bibtex

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation
Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, and Mingkui Tan
IEEE International Conference on Computer Vision (ICCV) , 2021
paper / bibtex

SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, and Lei Zhang
IEEE International Conference on Computer Vision (ICCV) , 2021
Oral Presentation
paper / bibtex

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, and C. L. Philip Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021
paper / arxiv

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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021
paper / bibtex / arxiv

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper / bibtex / arxiv / project page (with code and benchmark)

Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper / bibtex / arxiv / video / project page (with code and data)

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds
Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, and Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper / bibtex / arxiv

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
Jiapeng Tang, Dan Xu, Kui Jia, and Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper / bibtex

Vicinal and Categorical Domain Adaptation
Hui Tang and Kui Jia
Pattern Recognition, Accepted, 2021
paper / bibtex

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

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

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

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 / dataset and code

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

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

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

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)

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

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

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

Discriminative Adversarial Domain Adaptation
Hui Tang and Kui Jia
AAAI Conference on Artificial Intelligence (AAAI), 2020
paper / bibtex / code

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

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

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

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

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

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

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

Deep Cascade Generation on Point Sets
Kaiqi Wang, Ke Chen, and Kui Jia
International Joint Conference on Artificial Intelligenc (IJCAI), 2019
paper / bibtex / code

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

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

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

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

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

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

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

Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction
Junyi Pan, Jun Li, Xiaoguang Han, Kui Jia
3DV, 2018
paper / bibtex

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

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

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

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