Wen Li

Orcid: 0000-0002-5559-8594

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China
  • ETH Zürich, Computer Vision Laboratory, Switzerland (former)
  • Nanyang Technological University, School of Computer Engineering, Singapore (PhD 2015)


According to our database1, Wen Li authored at least 117 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
CAFA: Cross-Modal Attentive Feature Alignment for Cross-Domain Urban Scene Segmentation.
IEEE Trans. Ind. Informatics, October, 2024

Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation.
IEEE Trans. Intell. Transp. Syst., September, 2024

High-Level Feature Guided Decoding for Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Balanced Teacher for Source-Free Object Detection.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Deep graph tensor learning for temporal link prediction.
Inf. Sci., March, 2024

Adversarial Neon Beam: A light-based physical attack to DNNs.
Comput. Vis. Image Underst., January, 2024

Cross-Domain Detection Transformer Based on Spatial-Aware and Semantic-Aware Token Alignment.
IEEE Trans. Multim., 2024

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content.
CoRR, 2024

PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models.
CoRR, 2024

Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation.
CoRR, 2024

Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition.
CoRR, 2024

Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer.
CoRR, 2024

Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network.
CoRR, 2024

SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation.
CoRR, 2024

Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction.
Proceedings of the Computer Vision - ECCV 2024, 2024

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Domain Adaptive Sampling for Cross-Domain Point Cloud Recognition.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Co-MDA: Federated Multisource Domain Adaptation on Black-Box Models.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Noisy Label Learning With Provable Consistency for a Wider Family of Losses.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Deep Cross-Attention Network for Crowdfunding Success Prediction.
IEEE Trans. Multim., 2023

HFGD: High-level Feature Guided Decoder for Semantic Segmentation.
CoRR, 2023

Learning Motion Refinement for Unsupervised Face Animation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning continuous piecewise non-linear activation functions for deep neural networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-View Token Clustering and Fusion for 3D Object Recognition and Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Harmonious Teacher for Cross-Domain Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
VDM-DA: Virtual Domain Modeling for Source Data-Free Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Text Enhancement Network for Cross-Domain Scene Text Detection.
IEEE Signal Process. Lett., 2022

Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment.
CoRR, 2022

Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound.
CoRR, 2022

Partial Label Learning with Semantic Label Representations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Motion and Appearance Adaptation for Cross-domain Motion Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Motion Transformer for Unsupervised Image Animation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Interpretable Open-Set Domain Adaptation via Angular Margin Separation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Pixel-Level Distinctions for Video Highlight Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Structure-Aware Motion Transfer with Deformable Anchor Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantic-Aware Domain Generalized Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta Distribution Alignment for Generalizable Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting Random Channel Pruning for Neural Network Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Cross-Dataset Point Cloud Recognition Using Deep-Shallow Domain Adaptation Network.
IEEE Trans. Image Process., 2021

Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

DLOW: Domain Flow and Applications.
Int. J. Comput. Vis., 2021

Scale-Aware Domain Adaptive Faster R-CNN.
Int. J. Comput. Vis., 2021

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report.
CoRR, 2021

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Move As You Like: Image Animation in E-Commerce Scenario.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Counterfactual Debiasing Inference for Compositional Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Scale Enhanced Active Learning for Skeleton-Based Action Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unbiased Mean Teacher for Cross-Domain Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Analogical Image Translation for Fog Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discovering and incorporating latent target-domains for domain adaptation.
Pattern Recognit., 2020

Tensorized Multi-view Subspace Representation Learning.
Int. J. Comput. Vis., 2020

Region Comparison Network for Interpretable Few-shot Image Classification.
CoRR, 2020

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.
CoRR, 2020

Analogical Image Translation for Fog Generation.
CoRR, 2020

Deeply Aligned Adaptation for Cross-domain Object Detection.
CoRR, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Fixing Localization Errors to Improve Image Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Known-class Aware Self-ensemble for Open Set Domain Adaptation.
CoRR, 2019

Semi-Supervised Learning by Augmented Distribution Alignment.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast Image Restoration With Multi-Bin Trainable Linear Units.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sliced Wasserstein Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DLOW: Domain Flow for Adaptation and Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2018

Unsupervised Domain Adaptation for Face Anti-Spoofing.
IEEE Trans. Inf. Forensics Secur., 2018

Domain Generalization and Adaptation Using Low Rank Exemplar SVMs.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Visual Recognition in RGB Images and Videos by Learning from RGB-D Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning.
CoRR, 2018

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dividing and Aggregating Network for Multi-view Action Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Collaborative and Adversarial Network for Unsupervised Domain Adaptation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Appearance-and-Relation Networks for Video Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Domain Adaptive Faster R-CNN for Object Detection in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization.
IEEE Trans. Neural Networks Learn. Syst., 2017

WebVision Database: Visual Learning and Understanding from Web Data.
CoRR, 2017

Generative Autotransporters.
CoRR, 2017

WebVision Challenge: Visual Learning and Understanding With Web Data.
CoRR, 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Domain Adaptation by Geodesic Distance Minimization.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Image Classification by Cross-Media Active Learning With Privileged Information.
IEEE Trans. Multim., 2016

Co-Labeling for Multi-View Weakly Labeled Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Exploiting Privileged Information from Web Data for Action and Event Recognition.
Int. J. Comput. Vis., 2016

Fast Algorithms for Linear and Kernel SVM+.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst., 2015

A novel satellite selecting algorithm for BeiDou navigation satellite system.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

Multi-view Domain Generalization for Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

FaLRR: A fast low rank representation solver.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Visual recognition by learning from web data: A weakly supervised domain generalization approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance.
IEEE Trans. Cybern., 2014

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Incorporating Privileged Genetic Information for Fundus Image Based Glaucoma Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Exploiting Low-Rank Structure from Latent Domains for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2014, 2014

Exploiting Privileged Information from Web Data for Image Categorization.
Proceedings of the Computer Vision - ECCV 2014, 2014

Recognizing RGB Images by Learning from RGB-D Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning Prototype Hyperplanes for Face Verification in the Wild.
IEEE Trans. Image Process., 2013

Semantically-Based Human Scanpath Estimation with HMMs.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Batch mode Adaptive Multiple Instance Learning for computer vision tasks.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Improving Web Image Search by Bag-Based Reranking.
IEEE Trans. Image Process., 2011

Text-based image retrieval using progressive multi-instance learning.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2009
Efficient Edge Matching using Improved Hierarchical Chamfer Matching.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Towards Intelligent Interaction in Classroom.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2009


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