2025
The Devil is in the Spurious Correlation: Boosting Moment Retrieval via Temporal Dynamic Learning.
CoRR, January, 2025
Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network.
IEEE Trans Autom. Sci. Eng., 2025
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
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field.
CoRR, 2024
ResCLIP: Residual Attention for Training-free Dense Vision-language Inference.
CoRR, 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
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
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation.
CoRR, 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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 Viewpoint: Robust 3D Object Recognition Under Arbitrary Views Through Joint Multi-part Representation.
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.
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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