Tao Dai

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 31

Top Topics

Diffusion Model

Image Compression

Top Venues

Publications

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR (2024)
Qianchen Mao, Qiang Li, Bingshu Wang, Yongjun Zhang, Tao Dai, C. L. Philip Chen
SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector. CoRR (2024)
Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang
MambaVC: Learned Visual Compression with Selective State Spaces. CoRR (2024)
Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. CoRR (2024)
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR (2024)
Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR (2024)
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
Invertible Residual Rescaling Models. CoRR (2024)
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR (2024)
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
CLIP-Guided Networks for Transferable Targeted Attacks. CoRR (2024)
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. CoRR (2024)
Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. CoRR (2024)
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI (2024)
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. Pattern Recognit. Lett. 178 (2024)
Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang
Procedural Level Generation with Diffusion Models from a Single Example. AAAI (2024)
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) (2024)
Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. AAAI (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR (2023)
Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV (2023)
Tao Dai, Yanjie Li
Efficient dual domain image denoising via SURE-based optimization. Int. J. Mach. Learn. Cybern. 14 (12) (2023)
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. ICCV (2023)
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia
Difficulty-Aware Data Augmentor for Scene Text Recognition. ICASSP (2023)
Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. ICASSP (2023)
Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
Perceptual Image Compression with Cooperative Cross-Modal Side Information. CoRR (2023)
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. CoRR (2023)
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models. CoRR (2023)
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. ACM Multimedia (2023)
Shiyu Qin, Yimin Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. CoRR (2023)
Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia
SFR: Semantic-Aware Feature Rendering of Point Cloud. ICASSP (2023)
Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia
Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)