Kui Jia

DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control ICML 2025 Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions CVPR 2025 Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles AAAI 2025 PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation CORL 2025 You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations RSS 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning ICLR 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model ICLR 2025 SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation CVPR 2024 Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration ECCV 2024 Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024 PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud ACL 2024 Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images ECCV 2024 ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance ECCV 2024 Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024 Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing CVPR 2024 GS-IR: 3D Gaussian Splatting for Inverse Rendering CVPR 2024 VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations ICCV 2023 On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion ICCV 2023 HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization CVPR 2023 RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models CVPR 2023 Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed ACL 2023 A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation CVPR 2023 Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose IJCAI 2023 Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation ICCV 2023 Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization CVPR 2022 VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention CVPR 2022 Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning CVPR 2022 DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation ECCV 2022 BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation IJCAI 2022 Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap ECCV 2022 Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks ECCV 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NIPS 2022 TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition NIPS 2022 Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers ECCV 2022 JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition WACV 2021 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space NIPS 2021 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding CVPR 2021 Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction CVPR 2021 Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds CVPR 2021 Deep Optimized Priors for 3D Shape Modeling and Reconstruction CVPR 2021 Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks ICCV 2021 DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency ICCV 2021 SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks ICCV 2021 Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation ICCV 2021 Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds ICCV 2021 Discriminative Adversarial Domain Adaptation AAAI 2020 Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps NIPS 2020 MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020 Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots ECCV 2020 Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation ECCV 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020 Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks ICML 2020 Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering CVPR 2020 Cascading Convolutional Color Constancy AAAI 2020 Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019 HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation ICCV 2019 PARN: Position-Aware Relation Networks for Few-Shot Learning ICCV 2019 Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks ICCV 2019 Deep Cascade Generation on Point Sets IJCAI 2019 Multi-marginal Wasserstein GAN NIPS 2019 A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images CVPR 2019 Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data ECCV 2018 A Joint Intrinsic-Extrinsic Prior Model for Retinex ICCV 2017 Improving Training of Deep Neural Networks via Singular Value Bounding CVPR 2017 Lattice Long Short-Term Memory for Human Action Recognition ICCV 2017 Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks ICCV 2015 Partial Occlusion Handling for Visual Tracking via Robust Part Matching CVPR 2014 DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition CVPR 2014 Learning to Share Latent Tasks for Action Recognition ICCV 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013