Li, Zhu

19 publications

IJCAI 2025 ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction He Huang, Qi Yang, Mufan Liu, Yiling Xu, Zhu Li
ICCV 2025 Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Yujie Zhang, Bingyang Cui, Qi Yang, Zhu Li, Yiling Xu
ICML 2025 HybridGS: High-Efficiency Gaussian Splatting Data Compression Using Dual-Channel Sparse Representation and Point Cloud Encoder Qi Yang, Le Yang, Geert Van Der Auwera, Zhu Li
ICCV 2025 LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression Wenjie Huang, Qi Yang, Shuting Xia, He Huang, Yiling Xu, Zhu Li
ICLR 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li
CVPRW 2024 Multi-Scale Feature Fusion Using Channel Transformers for Guided Thermal Image Super Resolution Raghunath Sai Puttagunta, Birendra Kathariya, Zhu Li, George York
NeurIPS 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li
NeurIPSW 2024 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li
JMLR 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
CVPRW 2023 Appearance Label Balanced Triplet Loss for Multi-Modal Aerial View Object Classification Raghunath Sai Puttagunta, Zhu Li, Shuvra S. Bhattacharyya, George York
CVPRW 2022 Contrastive Learning-Based Robust Object Detection Under Smoky Conditions Wei Wu, Hao Chang, Yonghua Zheng, Zhu Li, Zhiwen Chen, Ziheng Zhang
IJCAI 2022 D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang
NeurIPS 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
AAAI 2022 Sharp Analysis of Random Fourier Features in Classification Zhu Li
JMLR 2021 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
ICML 2019 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
CVPRW 2018 Multi-Frame Super Resolution for Ocular Biometrics Narsi Reddy, Dewan Fahim Noor, Zhu Li, Reza Derakhshani
CVPRW 2014 Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation Victor Fragoso, Gaurav Srivastava, Abhishek Nagar, Zhu Li, Kyungmo Park, Matthew Turk
ICCV 2011 Complementary Hashing for Approximate Nearest Neighbor Search Hao Xu, Jingdong Wang, Zhu Li, Gang Zeng, Shipeng Li, Nenghai Yu