Zilei Wang

Orcid: 0000-0003-1822-3731

According to our database1, Zilei Wang authored at least 117 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Comprehensive Relation Modelling for Image Paragraph Generation.
Mach. Intell. Res., April, 2024

RISTRA: Recursive Image Super-Resolution Transformer With Relativistic Assessment.
IEEE Trans. Multim., 2024

Weakly supervised temporal action localization with actionness-guided false positive suppression.
Neural Networks, 2024

Restoration towards decomposition: A simple approach for domain generalization.
Inf. Sci., 2024

Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation.
CoRR, 2024

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning.
CoRR, 2024

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Energy-Based Models for 3D Human Pose Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Probabilistic Contrastive Learning for Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Delve into Source and Target Collaboration in Semi-supervised Domain Adaptation for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Semantic-Guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift.
Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-Rich Superpixels.
Proceedings of the Computer Vision - ECCV 2024, 2024

Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improve Temporal Action Proposals using Hierarchical Context.
Pattern Recognit., August, 2023

Learning complementary semantic information for zero-shot recognition.
Signal Process. Image Commun., July, 2023

A super-resolution strategy for mass spectrometry imaging via transfer learning.
Nat. Mac. Intell., June, 2023

Few-shot learning with unsupervised part discovery and part-aligned similarity.
Pattern Recognit., 2023

TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification.
CoRR, 2023

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts.
CoRR, 2023

Semantic Prompt for Few-Shot Image Recognition.
CoRR, 2023

AdaptGuard: Defending Against Universal Attacks for Model Adaptation.
CoRR, 2023

Exploiting Semantic Attributes for Transductive Zero-Shot Learning.
CoRR, 2023

Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement.
CoRR, 2023

Semi-supervised Domain Adaptation via Joint Contrastive Learning with Sensitivity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sparse Sharing Relation Network for Panoptic Driving Perception.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploiting Low-confidence Pseudo-labels for Source-free Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unleashing the Potential of Adjacent Snippets for Weakly-supervised Temporal Action Localization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Preparing the Future for Continual Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SimpleNet: A Simple Network for Image Anomaly Detection and Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Leveraging Sub-class Discimination for Compositional Zero-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack.
IET Biom., September, 2022

Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2022

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations.
CoRR, 2022

Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization.
CoRR, 2022

Low-confidence Samples Matter for Domain Adaptation.
CoRR, 2022

Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Semantic-enhanced Graph Voxelization for Pillar-based 3D Detection from Point Clouds.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring.
Proceedings of the International Conference on Machine Learning, 2022

Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-domain 3D Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters.
IEEE Trans. Neural Networks Learn. Syst., 2021

Video Semantic Segmentation With Distortion-Aware Feature Correction.
IEEE Trans. Circuits Syst. Video Technol., 2021

Parallel Point Clouds: Hybrid Point Cloud Generation and 3D Model Enhancement via Virtual-Real Integration.
Remote. Sens., 2021

Separated smooth sampling for fine-grained image classification.
Neurocomputing, 2021

5th Place Solution for VSPW 2021 Challenge.
CoRR, 2021

Probability Contrastive Learning for Domain Adaptation.
CoRR, 2021

Multi-level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RPN Prototype Alignment for Domain Adaptive Object Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Iris Normalization Beyond Appr-Circular Parameter Estimation.
Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021

Efficient License Plate Recognition via Holistic Position Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Intact Features by Erasing-Inpainting for Few-shot Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting.
IEEE Trans. Veh. Technol., 2020

High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN.
IEEE Trans. Computational Imaging, 2020

Adaptive and azimuth-aware fusion network of multimodal local features for 3D object detection.
Neurocomputing, 2020

Image Inpainting with Contrastive Relation Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Polynomial Regression Network for Variable-Number Lane Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Progressive Boundary Refinement Network for Temporal Action Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Software-Defined Multimedia Streaming System Aided By Variable-Length Interval In-Network Caching.
IEEE Trans. Multim., 2019

Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression.
IEEE Trans. Circuits Syst. Video Technol., 2019

Feedback Convolutional Neural Network for Visual Localization and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds.
CoRR, 2019

Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Unified Classifier Incrementally via Rebalancing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dynamic Resource Allocation and Layer Selection for Scalable Video Streaming in Femtocell Networks: A Twin-Time-Scale Approach.
IEEE Trans. Commun., 2018

Object detection via deeply exploiting depth information.
Neurocomputing, 2018

Towards Human-Level License Plate Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN.
Proceedings of the Computer Vision - ECCV 2018, 2018

Lifelong Learning via Progressive Distillation and Retrospection.
Proceedings of the Computer Vision - ECCV 2018, 2018

CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

SMC: Single-Stage Multi-location Convolutional Network for Temporal Action Detection.
Proceedings of the Computer Vision - ACCV 2018, 2018

Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Background-Driven Salient Object Detection.
IEEE Trans. Multim., 2017

Salient object detection via saliency bias and diffusion.
Multim. Tools Appl., 2017

Action recognition with low observational latency via part movement model.
Multim. Tools Appl., 2017

Improving human action recognitionby temporal attention.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

DualNet: Learn Complementary Features for Image Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning the Frame-2-Frame Ego-Motion for Visual Odometry with Convolutional Neural Network.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
A simple and robust super resolution method for light field images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Highway Vehicle Counting in Compressed Domain.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deeply Exploit Depth Information for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Stacked Overcomplete Independent Component Analysis for Action Recognition.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Collaborative Linear Coding for Robust Image Classification.
Int. J. Comput. Vis., 2015

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Autogrouped Sparse Representation for Visual Analysis.
IEEE Trans. Image Process., 2014

Salient Object Detection via Saliency Spread.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Image Classification via Object-Aware Holistic Superpixel Selection.
IEEE Trans. Image Process., 2013

Linear Distance Coding for Image Classification.
IEEE Trans. Image Process., 2013

Multi-class learning from class proportions.
Neurocomputing, 2013

2012
Purposive Hidden-Object-Game: Embedding Human Computation in Popular Game.
IEEE Trans. Multim., 2012

Auto-Grouped Sparse Representation for Visual Analysis.
Proceedings of the Computer Vision - ECCV 2012, 2012

2010
Scene aware smooth playout control for portable media players over random VBR channels.
IEEE Trans. Consumer Electron., 2010

A relaxing bandwidth smoothing schedule for transmitting prerecorded VBR video in periodic network.
Multim. Syst., 2010

Markov Decision Process Model for Path Selection Algorithm on Multi-Business System with Services Composition.
J. Convergence Inf. Technol., 2010

2009
Generalized PCRTT Offline Bandwidth Smoothing Based on SVM and Systematic Video Segmentation.
IEEE Trans. Multim., 2009

Calculating Minimum Buffer Requirement of Constant Rate Transmission Scheme Based on SVM.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2005
A Fast Online SVM Algorithm for Variable-Step CDMA Power Control.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


  Loading...