Jia, Kui

70 publications

NeurIPS 2025 ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction Jiabao Lei, Kewei Shi, Zhihao Liang, Kui Jia

ICML 2025 DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen, Jietao Chen, Ruiyan Xu, Yunxin Tai, Kui Jia

ICLR 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

AAAI 2025 Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles Yangkai Lin, Jiabao Lei, Kui Jia

NeurIPS 2025 Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia

ICLR 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu

CoRL 2025 PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation Lihua Liu, Jiehong Lin, ZhenXin Liu, Kui Jia

CVPR 2025 Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions Quanyuan Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, Dekun Lu, Guiliang Liu, Kui Jia

ECCV 2024 Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration Zhihao Liang, Qi Zhang, Wenbo Hu, Ying Feng, Lei Zhu, Kui Jia

ECCV 2024 ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance Yongwei Chen, Tengfei Wang, Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu

TMLR 2024 Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu

CVPR 2024 GS-IR: 3D Gaussian Splatting for Inverse Rendering Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia

CVPR 2024 Improving the Generalization of Segmentation Foundation Model Under Distribution Shift via Weakly Supervised Adaptation Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia

CVPR 2024 SAM-6D: Segment Anything Model Meets Zero-Shot 6d Object Pose Estimation Jiehong Lin, Lihua Liu, Dekun Lu, Kui Jia

ECCV 2024 Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-View Images Zhangjin Huang, Zhihao Liang, Kui Jia

AAAI 2024 Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su, Xun Xu, Kui Jia

CVPR 2024 Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang

CVPR 2023 A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang, Kui Jia

ICCV 2023 Fantasia3D: Disentangling Geometry and Appearance for High-Quality Text-to-3D Content Creation Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia

CVPR 2023 HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia

IJCAI 2023 Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6d Object Pose Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia

ICCV 2023 On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yushu Li, Xun Xu, Yongyi Su, Kui Jia

CVPR 2023 RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models Jiabao Lei, Jiapeng Tang, Kui Jia

ICCV 2023 VI-Net: Boosting Category-Level 6d Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia

IJCAI 2022 BiCo-Net: Regress Globally, Match Locally for Robust 6d Pose Estimation Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia

ECCV 2022 Category-Level 6d Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia

ECCV 2022 DCL-Net: Deep Correspondence Learning Network for 6d Pose Estimation Hongyang Li, Jiehong Lin, Kui Jia

CVPR 2022 Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang

ECCV 2022 Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia

NeurIPS 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su, Xun Xu, Kui Jia

ECCV 2022 Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers Hui Tang, Lin Sun, Kui Jia

NeurIPS 2022 TANGO: Text-Driven Photorealistic and Robust 3D Stylization via Lighting Decomposition Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia

CVPR 2022 Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning Hui Tang, Kui Jia

CVPR 2022 VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia

CVPR 2021 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

CVPR 2021 Deep Optimized Priors for 3D Shape Modeling and Reconstruction Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia

ICCV 2021 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, Yuanqing Li

ICCV 2021 Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds Longkun Zou, Hui Tang, Ke Chen, Kui Jia

ICCV 2021 Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia

WACV 2021 JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu

CVPR 2021 Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang

ICCV 2021 Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan

ICCV 2021 SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang

CVPR 2021 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, Kui Jia

NeurIPS 2021 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, Kui Jia

ICML 2020 Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks Jiabao Lei, Kui Jia

AAAI 2020 Cascading Convolutional Color Constancy Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia

AAAI 2020 Discriminative Adversarial Domain Adaptation Hui Tang, Kui Jia

NeurIPS 2020 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, Kui Jia

ECCV 2020 Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning Baseline for Unsupervised Domain Adaptation Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang

ECCV 2020 Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille

ICML 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen, Shuai Li, Kui Jia

IJCAI 2019 Deep Cascade Generation on Point Sets Kaiqi Wang, Ke Chen, Kui Jia

NeurIPS 2019 Multi-Marginal Wasserstein GAN Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

ECCV 2018 Fine-Grained Visual Categorization Using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang, Hui Tang, Kui Jia

ICCV 2017 A Joint Intrinsic-Extrinsic Prior Model for Retinex Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao

CVPR 2017 Improving Training of Deep Neural Networks via Singular Value Bounding Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu

ICCV 2017 Lattice Long Short-Term Memory for Human Action Recognition Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese

ICCV 2015 Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi

CVPR 2014 DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition Lin Sun, Kui Jia, Tsung-Han Chan, Yuqiang Fang, Gang Wang, Shuicheng Yan

CVPR 2014 Partial Occlusion Handling for Visual Tracking via Robust Part Matching Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja

CVPR 2013 Learning by Associating Ambiguously Labeled Images Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma

ICCV 2013 Learning to Share Latent Tasks for Action Recognition Qiang Zhou, Gang Wang, Kui Jia, Qi Zhao

ECCV 2012 Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition Zinan Zeng, Tsung-Han Chan, Kui Jia, Dong Xu

ECCV 2012 Robust and Practical Face Recognition via Structured Sparsity Kui Jia, Tsung-Han Chan, Yi Ma

ECCV 2012 Towards Optimal Design of Time and Color Multiplexing Codes Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma

ICCV 2011 Optical Flow Estimation Using Learned Sparse Model Kui Jia, Xiaogang Wang, Xiaoou Tang

CVPR 2008 Human Action Recognition Using Local Spatio-Temporal Discriminant Embedding Kui Jia, Dit-Yan Yeung

CVPR 2006 Multi-Resolution Patch Tensor for Facial Expression Hallucination Kui Jia, Shaogang Gong

ICCV 2005 Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition Kui Jia, Shaogang Gong