Zhun Sun

According to our database1, Zhun Sun authored at least 29 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective.
Int. J. Comput. Vis., February, 2024

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
CoRR, 2024

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models.
CoRR, 2023

Multi-level Contrastive Learning for Self-Supervised Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Representation Disentanglement in Generative Models with Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

What Can Simple Arithmetic Operations Do for Temporal Modeling?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Design of the topology for contrastive visual-textual alignment.
CoRR, 2022

Transferring Textual Knowledge for Visual Recognition.
CoRR, 2022

Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Are we pruning the correct channels in image-to-image translation models?
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Focus and retain: Complement the Broken Pose in Human Image Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Siamese Prototypical Contrastive Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

On the Memory Mechanism of Tensor-Power Recurrent Models.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Application-Oblivious L7 Parsing Using Recurrent Neural Networks.
IEEE/ACM Trans. Netw., 2020

Evolutionary Topology Search for Tensor Network Decomposition.
Proceedings of the 37th International Conference on Machine Learning, 2020

Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.
Proceedings of the IEEE International Conference on Acoustics, 2019

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Guaranteed Matrix Completion Under Multiple Linear Transformations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Feature Quantization for Defending Against Distortion of Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
HyperNetworks with statistical filtering for defending adversarial examples.
CoRR, 2017

Information Potential Auto-Encoders.
CoRR, 2017

Linear Discriminant Generative Adversarial Networks.
CoRR, 2017

Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs.
CoRR, 2017

2016
Design of Kernels in Convolutional Neural Networks for Image Classification.
Proceedings of the Computer Vision - ECCV 2016, 2016


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