Zhicheng Yan

Orcid: 0009-0005-0214-7916

According to our database1, Zhicheng Yan authored at least 42 papers between 2009 and 2024.

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Bibliography

2024
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

2023
Exploring Open-Vocabulary Semantic Segmentation without Human Labels.
CoRR, 2023

Going Denser with Open-Vocabulary Part Segmentation.
CoRR, 2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Going Denser with Open-Vocabulary Part Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
An Improved Multi-Objective Harris Hawk Optimization with Blank Angle Region Enhanced Search.
Symmetry, 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.
CoRR, 2022

Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Acoustoelectric signal measurement system based on FPGA.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Unified Transformer Tracker for Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
An FPGA-Based Multifrequency EIT System With Reference Signal Measurement.
IEEE Trans. Instrum. Meas., 2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.
CoRR, 2021

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Searching for Two-Stream Models in Multivariate Space for Video Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiscale Vision Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FP-NAS: Fast Probabilistic Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking the Self-Attention in Vision Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Achieving secure and convenient WLAN sharing in personal.
IET Inf. Secur., 2020

Decoupling Representation and Classifier for Long-Tailed Recognition.
Proceedings of the 8th International Conference on Learning Representations, 2020

An FPGA-based multi-frequency EIT system with reference signal measurement.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Temporal Segment Convolutional Kernel Networks for Sequence Modeling of Videos.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Graph-Based Global Reasoning Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features.
IEEE Trans. Image Process., 2017

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization.
CoRR, 2017

2016
Automatic Photo Adjustment Using Deep Neural Networks.
ACM Trans. Graph., 2016

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
CoRR, 2016

Learning Concept Taxonomies from Multi-modal Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Automatic Photo Adjustment Using Deep Learning.
CoRR, 2014

HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification.
CoRR, 2014

2013
Fast nonrigid 3D retrieval using modal space transform.
Proceedings of the International Conference on Multimedia Retrieval, 2013

Sparse similarity matrix learning for visual object retrieval.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2009
Volume Illustration of Muscle from Diffusion Tensor Images.
IEEE Trans. Vis. Comput. Graph., 2009

A Novel Interface for Interactive Exploration of DTI Fibers.
IEEE Trans. Vis. Comput. Graph., 2009

Context-aware Volume Modeling of Skeletal Muscles.
Comput. Graph. Forum, 2009


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