Guoliang Kang

Orcid: 0000-0003-1978-2025

According to our database1, Guoliang Kang authored at least 39 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization.
IEEE Trans. Multim., 2024

DropQueries: A Simple Way to Discover Comprehensive Segment Representations.
IEEE Trans. Multim., 2024

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation.
CoRR, 2023

PiClick: Picking the desired mask in click-based interactive segmentation.
CoRR, 2023

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adversarially Masking Synthetic to Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning.
CoRR, 2022

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.
CoRR, 2022

TRM: Temporal Relocation Module for Video Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021
Few-Shot Segmentation via Cycle-Consistent Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Consensus Clustering for Universal Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.
IEEE Trans. Cybern., 2020

Adaptive Feature Aggregation for Video Object Detection.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Argus: Efficient Activity Detection System for Extended Video Analysis.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Content-Consistent Matching for Domain Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Random Erasing Data Augmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Regularization in deep neural networks
PhD thesis, 2019

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.
CoRR, 2019

Inf@TRECVID 2019: Instance Search Task.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Attract or Distract: Exploit the Margin of Open Set.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Contrastive Adaptation Network for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Training-free Monocular 3D Event Detection System for Traffic Surveillance.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Shakeout: A New Approach to Regularized Deep Neural Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning.
CoRR, 2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-produced Guidance for Weakly-Supervised Object Localization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks.
CoRR, 2017

PatchShuffle Regularization.
CoRR, 2017

2016
Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.
IEEE Trans. Image Process., 2016

Shakeout: A New Regularized Deep Neural Network Training Scheme.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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