Cuiling Lan

Orcid: 0000-0001-9145-9957

According to our database1, Cuiling Lan authored at least 95 papers between 2009 and 2024.

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Bibliography

2024
Domain Prompt Tuning via Meta Relabeling for Unsupervised Adversarial Adaptation.
IEEE Trans. Multim., 2024

Semantic-Aware Message Broadcasting for Efficient Unsupervised Domain Adaptation.
IEEE Trans. Image Process., 2024

ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer.
IEEE Trans. Geosci. Remote. Sens., 2024

Slot-VLM: SlowFast Slots for Video-Language Modeling.
CoRR, 2024

Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement.
CoRR, 2024

UCIP: A Universal Framework for Compressed Image Super-Resolution Using Dynamic Prompt.
Proceedings of the Computer Vision - ECCV 2024, 2024

Text Grouping Adapter: Adapting Pre-Trained Text Detector for Layout Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Generalizing to Unseen Domains: A Survey on Domain Generalization.
IEEE Trans. Knowl. Data Eng., August, 2023

Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition.
IEEE Trans. Multim., 2023

Retrieval-based Video Language Model for Efficient Long Video Question Answering.
CoRR, 2023

Land-cover change detection using paired OpenStreetMap data and optical high-resolution imagery via object-guided Transformer.
CoRR, 2023

Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey.
CoRR, 2023

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization.
CoRR, 2023

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Versatile Neural Processes for Learning Implicit Neural Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Shatter and Gather: Learning Referring Image Segmentation with Text Supervision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Template-guided Hierarchical Feature Restoration for Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Frequency Filters As Efficient Global Token Mixers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Frequency Filtering for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Distortion Invariant Representation for Image Restoration from a Causality Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Active Token Mixer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Beyond Triplet Loss: Meta Prototypical N-Tuple Loss for Person Re-identification.
IEEE Trans. Multim., 2022

Style Normalization and Restitution for Domain Generalization and Adaptation.
IEEE Trans. Multim., 2022

FPCR-Net: Feature pyramidal correlation and residual reconstruction for optical flow estimation.
Neurocomputing, 2022

ActiveMLP: An MLP-like Architecture with Active Token Mixer.
CoRR, 2022

Mask-based Latent Reconstruction for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReSTR: Convolution-free Referring Image Segmentation Using Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
AttributeNet: Attribute enhanced vehicle re-identification.
Neurocomputing, 2021

CASINet: Content-Adaptive Scale Interaction Networks for scene parsing.
Neurocomputing, 2021

Confounder Identification-free Causal Visual Feature Learning.
CoRR, 2021

Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition.
CoRR, 2021

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation.
CoRR, 2021

ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation.
CoRR, 2021

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning.
CoRR, 2021

Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification.
CoRR, 2021

Style Normalization and Restitution for DomainGeneralization and Adaptation.
CoRR, 2021

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Uncertainty-Aware Few-Shot Image Classification.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generalizing to Unseen Domains: A Survey on Domain Generalization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Target-Tailored Source-Transformation for Scene Graph Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks.
IEEE Trans. Image Process., 2020

View Invariant 3D Human Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2020

Temporal-Spatial Mapping for Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2020

Feature Alignment and Restoration for Domain Generalization and Adaptation.
CoRR, 2020

Rethinking Classification Loss Designs for Person Re-identification with a Unified View.
CoRR, 2020

STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation.
CoRR, 2020

FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation.
CoRR, 2020

Global Distance-Distributions Separation for Unsupervised Person Re-identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

Relation-Aware Global Attention for Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Style Normalization and Restitution for Generalizable Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semantics-Aligned Representation Learning for Person Re-Identification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection.
IEEE Trans. Circuits Syst. Video Technol., 2019

Skeleton-Based Action Recognition With Gated Convolutional Neural Networks.
IEEE Trans. Circuits Syst. Video Technol., 2019

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing.
CoRR, 2019

Relation-Aware Global Attention.
CoRR, 2019

Exploring the Semantics for Visual Relationship Detection.
CoRR, 2019

Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition.
CoRR, 2019

Densely Semantically Aligned Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection.
IEEE Trans. Image Process., 2018

Variable Block-Sized Signal-Dependent Transform for Video Coding.
IEEE Trans. Circuits Syst. Video Technol., 2018

A Practical Hybrid Digital-Analog Scheme for Wireless Video Transmission.
IEEE Trans. Circuits Syst. Video Technol., 2018

Skeleton-Indexed Deep Multi-Modal Feature Learning for High Performance Human Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Adding Attentiveness to the Neurons in Recurrent Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Progressive Pseudo-analog Transmission for Mobile Video Streaming.
IEEE Trans. Multim., 2017

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Human Pose Estimation Using Global and Local Normalization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Internal-video mode dependent directional transform.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

OMP-based transform for inter coding in HEVC.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Structure-Preserving Hybrid Digital-Analog Video Delivery in Wireless Networks.
IEEE Trans. Multim., 2015

Progressive pseudo-analog transmission for mobile video live streaming.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Compound image compression using lossless and lossy LZMA in HEVC.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

2013
Low-complexity reinforcement learning for delay-sensitive compression in networked video stream mining.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Energy-efficient design of real-time stream mining systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Object-based coding for Kinect depth and color videos.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

Improving Depth Compression in HEVC by Pre/Post Processing.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2011
Exploiting Non-Local Correlation via Signal-Dependent Transform (SDT).
IEEE J. Sel. Top. Signal Process., 2011

Compression of compound images by combining several strategies.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

2010
Compress Compound Images in H.264/MPGE-4 AVC by Exploiting Spatial Correlation.
IEEE Trans. Image Process., 2010

Inter Frame Coding with Adaptive Transform.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Intra frame coding with template matching prediction and adaptive transform.
Proceedings of the International Conference on Image Processing, 2010

2009
Compress Compound Images in H.264/MPEG-4 AVC by Fully Exploiting Spatial Correlation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009


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