Tao Dai

190 papers A* 54A 3B 19C 2Misc 15Journal 82Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.
AAAI
Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2026 J jnl
CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting.
CoRR
Yaohua Zha, Chunlin Fan, Peiyuan Liu, Yong Jiang, Tao Dai, Hai Wu, Shu-Tao Xia
2026 J jnl
Decoding Golay Codes and their Related Lattices: A PAC Code Perspective.
CoRR
Yujun Ji, Ling Liu, Shanxiang Lyu, Chao Chen, Tao Dai, Baoming Bai
2026 J jnl
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting.
CoRR
Yixin Wang, Yifan Hu, Peiyuan Liu, Naiqi Li, Tao Dai, Shu-Tao Xia
2026 A* conf
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation.
AAAI
Yuxuan Chou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia
2026 J jnl
Learning gated experts for segment anything in the wild.
Pattern Recognit.
Yizhen Guo, Hang Guo, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
2026 J jnl
Perceptual image compression with textual side information.
Pattern Recognit.
Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
2026 J jnl
SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization.
CoRR
Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang
2025 A* conf
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors.
ICML
Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia
2025 A* conf
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception.
CVPR
Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 A* conf
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
AAAI
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2025 A* conf
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning.
AAAI
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2025 J jnl
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.
CoRR
Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2025 A* conf
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection.
AAAI
Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu
2025 A* conf
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution.
AAAI
Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia
2025 A* conf
Efficient Differentiable Approximation of Generalized Low-rank Regularization.
IJCAI
Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia
2025 J jnl
Efficient Differentiable Approximation of Generalized Low-rank Regularization.
CoRR
Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shu-Tao Xia
2025 A* conf
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CVPR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 J jnl
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CoRR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 A* conf
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models.
AAAI
Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang
2025 J jnl
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models.
CoRR
Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang
2025 A* conf
Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning.
ICRA
Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia
2025 J jnl
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning.
CoRR
Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini
2025 J jnl
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction.
CoRR
Yifan Hu, Peiyuan Liu, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2025 J jnl
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting.
CoRR
Yifan Hu, Yuante Li, Peiyuan Liu, Yuxia Zhu, Naiqi Li, Tao Dai, Shutao Xia, Dawei Cheng, Changjun Jiang
2025 A* conf
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud.
AAAI
Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu
2025 J jnl
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation.
CoRR
Yuxuan Zhou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia
2025 A* conf
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.
ICML
Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
2025 J jnl
JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework.
CoRR
Yuxuan Zhou, Yang Bai, Kuofeng Gao, Tao Dai, Shu-Tao Xia
2025 Misc conf
LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec.
ICASSP
Jiahong Chen, Xiang Liu, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2025 J jnl
Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language.
CoRR
Naiqi Li, Peiyuan Liu, Zheng Liu, Tao Dai, Yong Jiang, Shu-Tao Xia
2025 — conf
MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns.
WWW (Companion Volume)
Yujun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia
2025 J jnl
MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation.
Big Data Min. Anal.
Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu
2025 A* conf
MambaIRv2: Attentive State Space Restoration.
CVPR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2025 A* conf
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CVPR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CoRR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
Personalized Face Super-Resolution with Identity Decoupling and Fitting.
CoRR
Jiarui Yang, Hang Guo, Wen Huang, Tao Dai, Shutao Xia
2025 J jnl
Pixel-Sensitive and Robust Steganography Based on Polar Codes.
CoRR
Yujun Ji, Jinsheng Li, Ling Liu, Qi Cao, Tao Dai
2025 A* conf
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.
IJCAI
Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia
2025 A* conf
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations.
CVPR
Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia
2025 J jnl
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations.
CoRR
Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia
2025 J jnl
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization.
CoRR
Wen Huang, Jiarui Yang, Tao Dai, Jiawei Li, Shaoxiong Zhan, Bin Wang, Shu-Tao Xia
2025 A* conf
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection.
ACM Multimedia
Hanzhe Liang, Jie Zhang, Tao Dai, Linlin Shen, Jinbao Wang, Can Gao
2025 J jnl
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection.
CoRR
Hanzhe Liang, Jie Zhang, Tao Dai, Linlin Shen, Jinbao Wang, Can Gao
2025 A* conf
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting.
ICML
Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2025 A* conf
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting.
ICML
Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2025 J jnl
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting.
CoRR
Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2025 J jnl
Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs.
CoRR
Yuxuan Zhou, Yuzhao Peng, Yang Bai, Kuofeng Gao, Yihao Zhang, Yechao Zhang, Xun Chen, Tao Yu, Tao Dai, Shu-Tao Xia
2024 J jnl
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
CoRR
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2024 J jnl
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.
CoRR
Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia
2024 A* conf
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
NeurIPS
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 J jnl
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
CoRR
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 A* conf
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling.
IJCAI
Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
2024 J jnl
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling.
CoRR
Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
2024 J jnl
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell.
Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu
2024 — conf
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.
ECCV (28)
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 J jnl
CLIP-Guided Networks for Transferable Targeted Attacks.
CoRR
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 A* conf
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting.
NeurIPS
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu
2024 J jnl
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution.
CoRR
Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shutao Xia
2024 A* conf
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution.
IJCAI
Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu
2024 J jnl
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval.
CoRR
Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia
2024 J jnl
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting.
CoRR
Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia
2024 A* conf
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process.
IJCAI
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia
2024 J jnl
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia
2024 J jnl
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.
CoRR
Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
2024 A* conf
Invertible Residual Rescaling Models.
IJCAI
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 J jnl
Invertible Residual Rescaling Models.
CoRR
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 A* conf
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
NeurIPS
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 J jnl
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 A* conf
Large Point-to-Gaussian Model for Image-to-3D Generation.
ACM Multimedia
Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia
2024 J jnl
Large Point-to-Gaussian Model for Image-to-3D Generation.
CoRR
Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia
2024 — conf
MambaIR: A Simple Baseline for Image Restoration with State-Space Model.
ECCV (18)
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024 J jnl
MambaIR: A Simple Baseline for Image Restoration with State-Space Model.
CoRR
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024 J jnl
MambaIRv2: Attentive State Space Restoration.
CoRR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2024 J jnl
MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR
Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang
2024 A* conf
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts.
NeurIPS
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia
2024 A* conf
Periodicity Decoupling Framework for Long-term Series Forecasting.
ICLR
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
2024 J jnl
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction.
CoRR
Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia
2024 A* conf
Procedural Level Generation with Diffusion Models from a Single Example.
AAAI
Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang
2024 B conf
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
ICIP
Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2024 J jnl
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval.
Pattern Recognit. Lett.
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang
2024 — conf
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction.
WWW (Companion Volume)
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
2024 J jnl
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction.
CoRR
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
2024 A* conf
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
NeurIPS
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
SpirDet: Toward Efficient, Accurate, and Lightweight Infrared Small-Target Detector.
IEEE Trans. Geosci. Remote. Sens.
Qianchen Mao, Qiang Li, Bingshu Wang, Yongjun Zhang, Tao Dai, C. L. Philip Chen
2024 J jnl
SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector.
CoRR
Qianchen Mao, Qiang Li, Bingshu Wang, Yongjun Zhang, Tao Dai, C. L. Philip Chen
2024 J jnl
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation.
CoRR
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2024 J jnl
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting.
CoRR
Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2024 A* conf
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
AAAI
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2024 A* conf
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark.
ICLR
Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
2024 A* conf
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.
ACM Multimedia
Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2024 J jnl
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.
CoRR
Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2024 J jnl
Towards Scalable Semantic Representation for Recommendation.
CoRR
Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia
2024 A* conf
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
AAAI
Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
2024 Misc conf
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting.
ICASSP
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
2023 J jnl
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.
CoRR
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu
2023 J jnl
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang
2023 B conf
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution.
IJCNN
Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia
2023 Misc conf
Difficulty-Aware Data Augmentor for Scene Text Recognition.
ICASSP
Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia
2023 J jnl
Efficient dual domain image denoising via SURE-based optimization.
Int. J. Mach. Learn. Cybern.
Tao Dai, YanJie Li
2023 A* conf
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks.
AAAI
Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
ICCV
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
CoRR
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain.
AAAI
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2023 A* conf
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
ACM Multimedia
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
CoRR
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer.
AAAI
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia
2023 J jnl
Perceptual Image Compression with Cooperative Cross-Modal Side Information.
CoRR
Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
2023 J jnl
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR
Shiyu Qin, Yi-Min Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
2023 Misc conf
SFR: Semantic-Aware Feature Rendering of Point Cloud.
ICASSP
Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia
2023 Misc conf
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling.
ICASSP
Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia
2023 J jnl
Toward Effective Image Manipulation Detection With Proposal Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol.
Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia
2023 J jnl
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
CoRR
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.
IJCAI
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2023 J jnl
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.
CoRR
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2023 A* conf
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model.
ICCV
Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia
2023 J jnl
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
CoRR
Taolin Zhang, Sunan He, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting.
CoRR
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
2022 J jnl
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling.
CoRR
Qiang Li, Tao Dai, Shu-Tao Xia
2022 B conf
Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution.
ICIP
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022 J jnl
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution.
CoRR
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022 — conf
Context Feature Guided Network for Image Super-resolution.
ICDIS
Mengxi Ya, Tao Dai, Ling Liu, Jieyin Lv, Shu-Tao Xia
2022 A* conf
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
AAAI
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
2022 J jnl
Deep image prior based defense against adversarial examples.
Pattern Recognit.
Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia
2022 J jnl
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai.
CoRR
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2022 — conf
NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer.
ECCV (32)
Yunxiao Wang, YanJie Li, Peidong Liu, Tao Dai, Shu-Tao Xia
2022 J jnl
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer.
CoRR
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia
2022 Misc conf
Self-Ensemble Variance Regularization for Domain Adaptation.
ICASSP
Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang
2022 J jnl
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning.
CoRR
Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia
2022 J jnl
VLMAE: Vision-Language Masked Autoencoder.
CoRR
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Chen Wu, Xiujun Shu, Bo Ren
2021 B conf
Attribute Structured Knowledge Distillation.
IJCNN
Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia
2021 Misc conf
Bishift-Net for Image Inpainting.
ICASSP
Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia
2021 Misc conf
Class Aware Robust Training.
ICASSP
Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia
2021 J jnl
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
CoRR
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
2021 J jnl
Correlation-based structural dropout for convolutional neural networks.
Pattern Recognit.
Yuyuan Zeng, Tao Dai, Bin Chen, Shu-Tao Xia, Jian Lu
2021 B conf
D2Defend: Dual-Domain based Defense against Adversarial Examples.
IJCNN
Xin Yan, YanJie Li, Tao Dai, Yang Bai, Shu-Tao Xia
2021 B conf
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution.
IJCNN
Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu
2021 Misc conf
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net.
ICASSP
Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li
2021 Misc conf
HOCA: Higher-Order Channel Attention for Single Image Super-Resolution.
ICASSP
Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao
2021 C conf
Knowledge Distillation via Channel Correlation Structure.
KSEM
Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia
2021 A* conf
Knowledge Refinery: Learning from Decoupled Label.
AAAI
Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia
2021 A* conf
Mix-order Attention Networks for Image Restoration.
ACM Multimedia
Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu, Shu-Tao Xia
2021 J jnl
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval.
CoRR
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
2021 J jnl
S2A: Scale-Attention-Aware Networks for Video Super-Resolution.
Entropy
Taian Guo, Tao Dai, Ling Liu, Zexuan Zhu, Shu-Tao Xia
2021 Misc conf
Webly Supervised Deep Attentive Quantization.
ICASSP
Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
2020 A* conf
Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
AAAI
Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia
2020 J jnl
Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
CoRR
Yan Feng, Bin Chen, Tao Dai, Shutao Xia
2020 Misc conf
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks.
ICASSP
Yuyuan Zeng, Tao Dai, Shu-Tao Xia
2020 A* conf
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples.
ACM Multimedia
Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 J jnl
DPAttack: Diffused Patch Attacks against Universal Object Detection.
CoRR
Shudeng Wu, Tao Dai, Shu-Tao Xia
2020 B conf
Enhanced Image Restoration Via Supervised Target Feature Transfer.
ICIP
Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia
2020 B conf
Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution.
ICIP
Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 B conf
Generalized Local Aggregation for Large Scale Gaussian Process Regression.
IJCNN
Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
2020 B conf
Hrnet: Hamiltonian Rescaling Network for Image Downscaling.
ICIP
Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia
2020 J jnl
JSRT: James-Stein Regression Tree.
CoRR
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
2020 B conf
Progressive Splitting and Upscaling Structure for Super-Resolution.
ICPR
Qiang Li, Tao Dai, Shu-Tao Xia
2020 — conf
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification.
NetAI@SIGCOMM
Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia
2020 B conf
Sample-aware Data Augmentor for Scene Text Recognition.
ICPR
Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 B conf
Transferable Adversarial Attacks for Deep Scene Text Detection.
ICPR
Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia
2019 — conf
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.
ICCV Workshops
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, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai
2019 A conf
Attentiondrop for Convolutional Neural Networks.
ICME
Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia
2019 A* conf
Automatic Grassland Degradation Estimation Using Deep Learning.
IJCAI
Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng
2019 A* conf
Hilbert-Based Generative Defense for Adversarial Examples.
ICCV
Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shutao Xia, Yong Jiang
2019 — conf
Image Super-Resolution via Residual Block Attention Networks.
ICCV Workshops
Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia
2019 C conf
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling.
VCIP
Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia
2019 — conf
Neural Style Transfer with Content Discrimination.
ICME Workshops
Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia
2019 A conf
Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks.
ICME
Huaixuan Zhang, Yuhai Lan, Tao Dai, Ruizhi Qiao, Ying Xu, Yao Yao, Shu-Tao Xia
2019 A* conf
Second-Order Attention Network for Single Image Super-Resolution.
CVPR
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang
2019 — conf
Self-attentive Pyramid Network for Single Image De-raining.
ICONIP (1)
Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia
2018 — conf
A New Guided Image Denoising by Principal Component Analysis with Local Pixel Grouping.
BigMM
Xinji Liu, Tao Dai
2018 J jnl
Binary Matrices for Compressed Sensing.
IEEE Trans. Signal Process.
Weizhi Lu, Tao Dai, Shu-Tao Xia
2018 A conf
Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling.
ICME
Li Dong, Jiantao Zhou, Tao Dai
2018 — conf
Content-Aware Bilateral Filtering.
BigMM
Tao Dai, Yongbing Zhang, Li Dong, Lida Li, Xin-Ji Liu, Shu-Tao Xia
2018 B conf
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels.
ICIP
Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia
2018 — conf
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization.
Rep4NLP@ACL
Jilei Wang, Shiying Luo, Weiyan Shi, Tao Dai, Shu-Tao Xia
2018 B conf
Portrait-Aware Artistic Style Transfer.
ICIP
Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
2018 J jnl
Referenceless quality metric of multiply-distorted images based on structural degradation.
Neurocomputing
Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2018 Misc conf
Self -Paced Mixture of T Distribution Model.
ICASSP
Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
2018 Misc conf
Sure-Based Dual Domain Image Denoising.
ICASSP
Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia
2017 J jnl
A generic denoising framework via guided principal component analysis.
J. Vis. Commun. Image Represent.
Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
2017 B conf
Blind quality assessment of multiply-distorted images based on structural degradation.
ICIP
Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia
2017 B conf
Compressed Sensing Performance of Binary Matrices with Binary Column Correlations.
DCC
Weizhi Lu, Tao Dai, Shu-Tao Xia
2017 J jnl
Entropy-based bilateral filtering with a new range kernel.
Signal Process.
Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia
2017 B conf
Foveated nonlocal dual denoising.
ICIP
Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2017 A* conf
Robust Survey Aggregation with Student-t Distribution and Sparse Representation.
IJCAI
Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai
2017 A* conf
Student-t Process Regression with Student-t Likelihood.
IJCAI
Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia
2015 Misc conf
Deterministic constructions of binary measurement matrices with various sizes.
ICASSP
Xin-Ji Liu, Shu-Tao Xia, Tao Dai
2015 B conf
PMPA: A patch-based multiscale products algorithm for image denoising.
ICIP
Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia
2015 — conf
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions.
ICONIP (3)
Jiping Zhang, Tao Dai, Shu-Tao Xia