Dai, Tao

52 publications

ICML 2025 3D-LMVIC: Learning-Based Multi-View Image Compression with 3D Gaussian Geometric Priors Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia

CVPR 2025 Adapting Pre-Trained 3D Models for Point Cloud Video Understanding via Cross-Frame Spatio-Temporal Perception Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia

AAAI 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai

AAAI 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-Modal Fine-Tuning Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

ICCV 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shu-Tao Xia, Yaowei Wang

AAAI 2025 DCSF-KD: Dynamic Channel-Wise Spatial Feature Knowledge Distillation for Object Detection Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu

IJCAI 2025 DIIN: Diffusion Iterative Implicit Networks for Arbitrary-Scale Super-Resolution Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu

AAAI 2025 Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia

IJCAI 2025 Efficient Differentiable Approximation of Generalized Low-Rank Regularization Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia

CVPR 2025 Embracing Collaboration over Competition: Condensing Multiple Prompts for Visual In-Context Learning Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia

AAAI 2025 EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang

ICCV 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini

AAAI 2025 GCD-Sampling: A General Cross-Scale Decoupled Sampling for Point Cloud Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu

ICML 2025 IntLoRA: Integral Low-Rank Adaptation of Quantized Diffusion Models Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini

IJCAI 2025 MC3D-AD: A Unified Geometry-Aware Reconstruction Model for Multi-Category 3D Anomaly Detection Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang

CVPR 2025 MambaIRv2: Attentive State Space Restoration Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

CVPR 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

IJCAI 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-Supervised Learning Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

CVPR 2025 Protecting Your Video Content: Disrupting Automated Video-Based LLM Annotations Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia

ICML 2025 TimeBridge: Non-Stationarity Matters for Long-Term Time Series Forecasting Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia

ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

NeurIPS 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-tao Xia

IJCAI 2024 Boundary-Aware Decoupled Flow Networks for Realistic Extreme Rescaling Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo

ECCV 2024 CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia

NeurIPS 2024 DDN: Dual-Domain Dynamic Normalization for Non-Stationary Time Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu

IJCAI 2024 FreqFormer: Frequency-Aware Transformer for Lightweight Image Super-Resolution Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu

IJCAI 2024 GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia

IJCAI 2024 Invertible Residual Rescaling Models Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang

NeurIPS 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

ECCV 2024 MambaIR: A Simple Baseline for Image Restoration with State-Space Model Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia

NeurIPS 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia

ICLR 2024 Periodicity Decoupling Framework for Long-Term Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia

AAAI 2024 Procedural Level Generation with Diffusion Models from a Single Example Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang

NeurIPS 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia

AAAI 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

ICLR 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia

AAAI 2024 Vision-Language Pre-Training with Object Contrastive Learning for 3D Scene Understanding Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

AAAI 2023 FSR: A General Frequency-Oriented Framework to Accelerate Image Super-Resolution Networks Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia

ICCV 2023 Instance-Aware Dynamic Prompt Tuning for Pre-Trained Point Cloud Models Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

AAAI 2023 Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia

AAAI 2023 Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia

IJCAI 2023 Towards Robust Scene Text Image Super-Resolution via Explicit Location Enhancement Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia

ICCV 2023 Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia

AAAI 2022 Contrastive Quantization with Code Memory for Unsupervised Image Retrieval Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

ECCV 2022 NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia

AAAI 2021 Knowledge Refinery: Learning from Decoupled Label Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia

AAAI 2020 Adversarial Attack on Deep Product Quantization Network for Image Retrieval Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia

ICCVW 2019 AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai

IJCAI 2019 Automatic Grassland Degradation Estimation Using Deep Learning Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng

ICCVW 2019 Image Super-Resolution via Residual Block Attention Networks Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia

IJCAI 2017 Robust Survey Aggregation with Student-T Distribution and Sparse Representation Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai

IJCAI 2017 Student-T Process Regression with Student-T Likelihood Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia