Yang Wang

Orcid: 0000-0001-9447-1791

Affiliations:
  • Concordia University, Canada
  • University of Manitoba, Department of Computer Science, Winnipeg, Canada (former)
  • University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA (former)
  • Simon Fraser University, Schools of Computing Science, Burnaby, Canada (former)


According to our database1, Yang Wang authored at least 145 papers between 2005 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Crowd Counting Using Meta-Test-Time Adaptation.
Int. J. Neural Syst., November, 2024

MetaUSACC: Unlabeled scene adaptation for crowd counting via meta-auxiliary learning.
Expert Syst. Appl., 2024

Visually Guided Audio Source Separation with Meta Consistency Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adapting to Distribution Shift by Visual Domain Prompt Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams.
Proceedings of the Computer Vision - ECCV 2024, 2024

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Test-Time Personalization with Meta Prompt for Gaze Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning.
IEEE J. Biomed. Health Informatics, May, 2023

Spatio-Temporal Self-Attention Network for Video Saliency Prediction.
IEEE Trans. Multim., 2023

Fast Human Pose Estimation in Compressed Videos.
IEEE Trans. Multim., 2023

Adaptive Group-Wise Consistency Network for Co-Saliency Detection.
IEEE Trans. Multim., 2023

Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors.
IEEE Trans. Image Process., 2023

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Dynamic Transfer for Domain Adaptation in Crowd Counting.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning.
IROS, 2023

Video Action Recognition with Adaptive Zooming Using Motion Residuals.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MetaGCD: Learning to Continually Learn in Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Privacy-Preserving Learning via Data and Knowledge Distillation.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Few-Shot Personality-Specific Image Captioning via Meta-Learning.
Proceedings of the 20th Conference on Robots and Vision, 2023

PointerNet with Local and Global Contexts for Natural Language Moment Localization.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting.
IEEE Trans. Multim., 2022

Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Region-of-interest and channel attention-based joint optimization of image compression and computer vision.
Neurocomputing, 2022

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.
CoRR, 2022

S-Rocket: Selective Random Convolution Kernels for Time Series Classification.
CoRR, 2022

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable Devices.
Proceedings of the IEEE International Conference on Communications, 2022

Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.
Proceedings of the Computer Vision, 2022

Generating Privacy Preserving Synthetic Medical Data.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Learning for Unsupervised Video Highlight Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ATCC: Accurate tracking by criss-cross location attention.
Image Vis. Comput., 2021

Circular Complement Network for RGB-D Salient Object Detection.
Neurocomputing, 2021

Video Captioning of Future Frames.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Joint Visual and Audio Learning for Video Highlight Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Toward Personalized Emotion Recognition: A Face Recognition Based Attention Method for Facial Emotion Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Image Change Captioning by Learning From an Auxiliary Task.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dual Convolutional LSTM Network for Referring Image Segmentation.
IEEE Trans. Multim., 2020

Weakly supervised instance segmentation using multi-stage erasing refinement and saliency-guided proposals ordering.
J. Vis. Commun. Image Represent., 2020

Attentional coarse-and-fine generative adversarial networks for image inpainting.
Neurocomputing, 2020

A Deep Learning Framework for Malware Classification.
Int. J. Digit. Crime Forensics, 2020

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Unsupervised Learning of Camera Pose with Compositional Re-estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Fine-Grained Image Classification with Coarse and Fine Labels on One-Shot Learning.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Adaptive Video Highlight Detection by Learning from User History.
Proceedings of the Computer Vision - ECCV 2020, 2020

Few-Shot Scene-Adaptive Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Modal Weighting Network for RGB-D Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Learning-Based Image Compression with Trellis Coded Quantization.
Proceedings of the Data Compression Conference, 2020

Composed Query Image Retrieval Using Locally Bounded Features.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Domain Adaptation in Crowd Counting.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels.
J. Vis. Commun. Image Represent., 2019

Saliency detection via multi-level integration and multi-scale fusion neural networks.
Neurocomputing, 2019

Crowd Counting Using Scale-Aware Attention Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Semantic Segmentation in Compressed Videos.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Convolutional Temporal Attention Model for Video-Based Person Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Compression Artifact Removal with Stacked Multi-Context Channel-Wise Attention Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Homoglyph attack detection with unpaired data.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Cross-Modal Self-Attention Network for Referring Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Video Summarization by Learning From Unpaired Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

One-Shot Scene-Specific Crowd Counting.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Non-Local Attentive Temporal Network for Video-Based Person Re-Identification.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Video-Based Person Re-Identification using Refined Attention Networks.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
Video-based Person Re-identification Using Spatial-Temporal Attention Networks.
CoRR, 2018

Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling.
CoRR, 2018

Learning Video Summarization Using Unpaired Data.
CoRR, 2018

Learning Semantic Segmentation with Diverse Supervision.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Hybrid Deep Learning Model for Stock Price Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Malware Classification with Deep Convolutional Neural Networks.
Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Privacy-Preserving Age Estimation for Content Rating.
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

Visual Relationship Detection Using Joint Visual-Semantic Embedding.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Video Summarization Using Fully Convolutional Sequence Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Future Semantic Segmentation with Convolutional LSTM.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Salient Object Segmentation via Effective Integration of Saliency and Objectness.
IEEE Trans. Multim., 2017

Label Refinement Network for Coarse-to-Fine Semantic Segmentation.
CoRR, 2017

Object localization in weakly labeled data using regularized attention networks.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Depth-aware object instance segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Gated Feedback Refinement Network for Dense Image Labeling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Image Classification with Coarse and Fine Labels.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Person Re-Identification by Localizing Discriminative Regions.
Proceedings of the British Machine Vision Conference 2017, 2017

Salient Object Detection using a Context-Aware Refinement Network.
Proceedings of the British Machine Vision Conference 2017, 2017

Adapting Object Detectors from Images to Weakly Labeled Videos.
Proceedings of the British Machine Vision Conference 2017, 2017

Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition.
Proceedings of the Gesture Recognition, 2017

2016
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Weakly supervised object localization and segmentation in videos.
Image Vis. Comput., 2016

Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Object figure-ground segmentation using zero-shot learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Beyond verbs: Understanding actions in videos with text.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learning Neural Networks with Ranking-Based Losses for Action Retrieval.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Dense Image Labeling Using Deep Convolutional Neural Networks.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

LSTM for Image Annotation with Relative Visual Importance.
Proceedings of the British Machine Vision Conference 2016, 2016

Attention Networks for Weakly Supervised Object Localization.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Weakly supervised localization of novel objects using appearance transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Latent SVM for Object Localization in Weakly Labeled Videos.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

Zero-Shot Object Recognition Using Semantic Label Vectors.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014
Learning mid-level features from object hierarchy for image classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Efficient Object Localization and Segmentation in Weakly Labeled Videos.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Object Classification Using a Semantic Hierarchy.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

A machine learning approach for stock price prediction.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Human parsing with a cascade of hierarchical poselet based pruners.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Examining visual saliency prediction in naturalistic scenes.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Segmenting Objects in Weakly Labeled Videos.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Optimizing Nondecomposable Loss Functions in Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Discovering Latent Clusters from Geotagged Beach Images.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Large multi-class image categorization with ensembles of label trees.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Non-parametric Filtering for Geometric Detail Extraction and Material Representation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Discriminative Latent Models for Recognizing Contextual Group Activities.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Discriminative hierarchical part-based models for human parsing and action recognition.
J. Mach. Learn. Res., 2012

Kernel Latent SVM for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Image Retrieval with Structured Object Queries Using Latent Ranking SVM.
Proceedings of the Computer Vision - ECCV 2012, 2012

Building a dictionary of image fragments.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Discriminative figure-centric models for joint action localization and recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning hierarchical poselets for human parsing.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Latent Boosting for Action Recognition.
Proceedings of the British Machine Vision Conference, 2011

Max-margin Latent Dirichlet Allocation for Image Classification and Annotation.
Proceedings of the British Machine Vision Conference, 2011

Gamma oscillation in brain connectivity in emotion recognition by Granger causality.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Abnormal sensory gating in schizophrenia: The evidence from Lempel-Ziv complexity analysis in EEG.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Beyond Actions: Discriminative Models for Contextual Group Activities.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Discriminative Latent Model of Object Classes and Attributes.
Proceedings of the Computer Vision - ECCV 2010, 2010

Optimizing Complex Loss Functions in Structured Prediction.
Proceedings of the Computer Vision, 2010

Retrieving Actions in Group Contexts.
Proceedings of the Trends and Topics in Computer Vision, 2010

Recognizing human actions from still images with latent poses.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Human Action Recognition by Semilatent Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A Rate Distortion Approach for Semi-Supervised Conditional Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Human action recognition from a single clip per action.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Max-margin hidden conditional random fields for human action recognition.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Efficient Human Action Detection Using a Transferable Distance Function.
Proceedings of the Computer Vision, 2009

2008
Learning a discriminative hidden part model for human action recognition.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Boosting with incomplete information.
Proceedings of the Machine Learning, 2008

Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation.
Proceedings of the Computer Vision, 2008

2007
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition.
Proceedings of the Human Motion, 2007

Boosted Multiple Deformable Trees for Parsing Human Poses.
Proceedings of the Human Motion, 2007

2006
Unsupervised Discovery of Action Classes.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Fast Krylov Methods for N-Body Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


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