Zhicheng Yan

Orcid: 0009-0005-0214-7916

Affiliations:

Meta Platforms, Reality Labs, Menlo Park, CA, USA
Facebook AI, San Francisco, CA, USA
University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA (PhD 2016)

According to our database¹, Zhicheng Yan authored at least 37 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Enhancing 2D Representation Learning with a 3D Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Exploring Open-Vocabulary Semantic Segmentation without Human Labels.

[BibT_eX]

[DOI]

CoRR, 2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Going Denser with Open-Vocabulary Part Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unified Transformer Tracker for Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

[BibT_eX]

[DOI]

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

Searching for Two-Stream Models in Multivariate Space for Video Recognition.

[BibT_eX]

[DOI]

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

Multiscale Vision Transformers.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

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

FP-NAS: Fast Probabilistic Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking the Self-Attention in Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Decoupling Representation and Classifier for Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Temporal Segment Convolutional Kernel Networks for Sequence Modeling of Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Graph-Based Global Reasoning Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

2016

Automatic Photo Adjustment Using Deep Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Learning Concept Taxonomies from Multi-modal Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Liangliang Cao

Zhicheng Yan

John R. Smith

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Automatic Photo Adjustment Using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

2013

Fast nonrigid 3D retrieval using modal space transform.

[BibT_eX]

[DOI]

Jianbo Ye

Zhicheng Yan

Yizhou Yu

Proceedings of the International Conference on Multimedia Retrieval, 2013

Sparse similarity matrix learning for visual object retrieval.

[BibT_eX]

[DOI]

Zhicheng Yan

Yizhou Yu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2009

Volume Illustration of Muscle from Diffusion Tensor Images.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2009

A Novel Interface for Interactive Exploration of DTI Fibers.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2009

Context-aware Volume Modeling of Skeletal Muscles.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2009

Zhicheng Yan

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