Xu, Kai

78 publications

ICCV 2025 A Constrained Optimization Approach for Gaussian Splatting from Coarsely-Posed Images and Noisy LiDAR Point Clouds Jizong Peng, Tze Ho Elden Tse, Kai Xu, Wenchao Gao, Angela Yao

CVPR 2025 ArticulatedGS: Self-Supervised Digital Twin Modeling of Articulated Objects Using 3D Gaussian Splatting Junfu Guo, Yu Xin, Gaoyi Liu, Kai Xu, Ligang Liu, Ruizhen Hu

ICCV 2025 CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs Yihan Cao, Jiazhao Zhang, Zhinan Yu, Shuzhen Liu, Zheng Qin, Qin Zou, Bo Du, Kai Xu

ICCV 2025 Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction Zhirui Gao, Renjiao Yi, Yaqiao Dai, Xuening Zhu, Wei Chen, Chenyang Zhu, Kai Xu

ICCV 2025 Diagnosing Pretrained Models for Out-of-Distribution Detection Haipeng Xiong, Kai Xu, Angela Yao

ICLR 2025 EvA: Erasing Spurious Correlations with Activations Qiyuan He, Kai Xu, Angela Yao

AAAI 2025 Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-Trained Large Language Model Weilin Sun, Xinran Li, Manyi Li, Kai Xu, Xiangxu Meng, Lei Meng

CoRL 2025 LaDi-WM: A Latent Diffusion-Based World Model for Predictive Manipulation Yuhang Huang, Jiazhao Zhang, Shilong Zou, Xinwang Liu, Ruizhen Hu, Kai Xu

ICCV 2025 MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos Hongyi Zhou, Yulan Guo, Xiaogang Wang, Kai Xu

CVPR 2025 OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging Yijie Tang, Jiazhao Zhang, Yuqing Lan, Yulan Guo, Dezun Dong, Chenyang Zhu, Kai Xu

AAAI 2025 Physical-Aware Neural Radiance Fields for Efficient Exposure Correction Kai Xu, Mingwen Shao, Yuanjian Qiao, Yan Wang

CVPR 2025 Progressive Correspondence Regenerator for Robust 3D Registration Guiyu Zhao, Sheng Ao, Ye Zhang, Kai Xu, Yulan Guo

CVPR 2025 RestorGS: Depth-Aware Gaussian Splatting for Efficient 3D Scene Restoration Yuanjian Qiao, Mingwen Shao, Lingzhuang Meng, Kai Xu

NeurIPS 2025 Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs Using Particle-Based Monte Carlo Methods Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Abhishek Bhandwaldar, Kai Xu, Akash Srivastava

ICCV 2025 Self-Supervised Learning of Hybrid Part-Aware 3D Representations of 2D Gaussians and Superquadrics Zhirui Gao, Renjiao Yi, Yuhang Huang, Wei Chen, Chenyang Zhu, Kai Xu

ICLR 2025 Unveiling the Secret Recipe: A Guide for Supervised Fine-Tuning Small LLMs Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

CVPR 2025 VasTSD: Learning 3D Vascular Tree-State Space Diffusion Model for Angiography Synthesis Zhifeng Wang, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu

CVPR 2025 VideoDirector: Precise Video Editing via Text-to-Video Models Yukun Wang, Longguang Wang, Zhiyuan Ma, Qibin Hu, Kai Xu, Yulan Guo

ICCV 2025 Wave-MambaAD: Wavelet-Driven State Space Model for Multi-Class Unsupervised Anomaly Detection Qiao Zhang, Mingwen Shao, Xinyuan Chen, Xiang Lv, Kai Xu

ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang

AAAI 2024 DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai

CVPR 2024 Enhancing Video Super-Resolution via Implicit Resampling-Based Alignment Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi, Angela Yao

ICML 2024 GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You

ECCV 2024 InterFusion: Text-Driven Generation of 3D Human-Object Interaction Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, Ruizhen Hu

TMLR 2024 LInK: Learning Joint Representations of Design and Performance Spaces Through Contrastive Learning for Mechanism Synthesis Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed

ECCV 2024 Learning Cross-Hand Policies of High-DOF Reaching and Grasping Qijin She, Shishun Zhang, Yunfan Ye, Ruizhen Hu, Kai Xu

ICML 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, Siddharth N, Shuo Chen, Mahesh K. Marina

CVPR 2024 Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes Zhiyuan Yu, Zheng Qin, Lintao Zheng, Kai Xu

CVPR 2024 MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng

ICML 2024 Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory Kai Xu, Hong Ge

NeurIPS 2024 Privacy Without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald, Yuancheng Yu, Hao Wang, Kai Xu

ICLR 2024 Scaling for Training Time and Post-Hoc Out-of-Distribution Detection Enhancement Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao

ICCV 2023 2D3D-MATR: 2D-3D Matching Transformer for Detection-Free Registration Between Images and Point Clouds Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu

CVPR 2023 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang

ICCV 2023 Accurate and Fast Compressed Video Captioning Yaojie Shen, Xin Gu, Kai Xu, Heng Fan, Longyin Wen, Libo Zhang

CVPR 2023 BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo

CVPR 2023 Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu

ICLR 2023 DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training Joya Chen, Kai Xu, Yuhui Wang, Yifei Cheng, Angela Yao

TMLR 2023 Estimating the Density Ratio Between Distributions with High Discrepancy Using Multinomial Logistic Regression Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

AAAI 2023 Multi-Resolution Monocular Depth mAP Fusion by Self-Supervised Gradient-Based Composition Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu

ICML 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava

CVPR 2023 NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu

ICCV 2023 PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View Jingjia Shi, Shuaifeng Zhi, Kai Xu

ICCV 2023 SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6d Object Pose Estimation Under Large Shape Variations Boyan Wan, Yifei Shi, Kai Xu

ICLR 2023 Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation Kai Xu, Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson

CVPR 2023 Weakly-Supervised Single-View Image Relighting Renjiao Yi, Chenyang Zhu, Kai Xu

CVPR 2022 Accelerating Video Object Segmentation with Compressed Video Kai Xu, Angela Yao

ECCV 2022 AutoTransition: Learning to Recommend Video Transition Effects Yaojie Shen, Libo Zhang, Kai Xu, Xiaojie Jin

CVPR 2022 Decoupling Makes Weakly Supervised Local Feature Better Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo

CVPR 2022 DisARM: Displacement Aware Relation Module for 3D Detection Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu

AAAI 2022 Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

AAAI 2022 Fusion Multiple Kernel K-Means Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

CVPR 2022 Geometric Transformer for Fast and Robust Point Cloud Registration Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu

ICLR 2022 Learning Efficient Online 3D Bin Packing on Packing Configuration Trees Hang Zhao, Yang Yu, Kai Xu

CVPR 2022 RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang

CVPR 2022 RayMVSNet: Learning Ray-Based 1d Implicit Fields for Accurate Multi-View Stereo Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu

AISTATS 2021 Couplings for Multinomial Hamiltonian Monte Carlo Kai Xu, Tor Erlend Fjelde, Charles Sutton, Hong Ge

NeurIPS 2021 A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer Ullman, Josh Tenenbaum, Charles A. Sutton

CVPR 2021 Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou

IJCAI 2021 Objective-Aware Traffic Simulation via Inverse Reinforcement Learning Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li

AAAI 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu

CVPR 2021 StablePose: Learning 6d Object Poses from Geometrically Stable Patches Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu

NeurIPS 2021 Targeted Neural Dynamical Modeling Cole Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew Perich, Lee Miller, Matthias H. Hennig

ICLR 2020 Generative Ratio Matching Networks Akash Srivastava, Kai Xu, Michael U. Gutmann, Charles Sutton

AAAI 2020 Learning Part Generation and Assembly for Structure-Aware Shape Synthesis Jun Li, Chengjie Niu, Kai Xu

AAAI 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li

AAAI 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

NeurIPS 2020 PIE-NET: Parametric Inference of Point Cloud Edges Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

NeurIPS 2020 Telescoping Density-Ratio Estimation Benjamin Rhodes, Kai Xu, Michael U. Gutmann

AAAI 2020 Toward a Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li

NeurIPS 2019 Scalable Spike Source Localization in Extracellular Recordings Using Amortized Variational Inference Cole Hurwitz, Kai Xu, Akash Srivastava, Alessio Buccino, Matthias Hennig

ICML 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics Kai Xu, Akash Srivastava, Charles Sutton

WACV 2018 CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing Kai Xu, Fengbo Ren

ECCV 2018 LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction Kai Xu, Zhikang Zhang, Fengbo Ren

ECCV 2018 PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, Thomas Funkhouser

AAAI 2018 Reduced-Rank Linear Dynamical Systems Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan

AISTATS 2018 Turing: Composable Inference for Probabilistic Programming Hong Ge, Kai Xu, Zoubin Ghahramani

IJCAI 2017 Bridging the Gap Between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction Kai Xu, Kaiming Xiao, Quanjun Yin, Yabing Zha, Cheng Zhu