Zhicheng Yan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Neural Architecture

Convolutional Neural Networks

Top Venues

Publications

Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan
Enhancing 2D Representation Learning with a 3D Prior. CoRR (2024)
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
Going Denser with Open-Vocabulary Part Segmentation. ICCV (2023)
Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. ICCV (2023)
Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. ICCV (2023)
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
Going Denser with Open-Vocabulary Part Segmentation. CoRR (2023)
Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana
Exploring Open-Vocabulary Semantic Segmentation without Human Labels. CoRR (2023)
Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. CoRR (2023)
Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan
Unified Transformer Tracker for Object Tracking. CVPR (2022)
Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR (2022)
Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan
Unified Transformer Tracker for Object Tracking. CoRR (2022)
Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. WACV (2022)
Zhaoyang Zhang, Yanbin Xu, Zhicheng Yan, Feng Dong
Acoustoelectric signal measurement system based on FPGA. I2MTC (2022)
Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR (2022)
Zhicheng Yan, Qibing Jin, Yang Zhang, Zeyu Wang, Ziming Li
An Improved Multi-Objective Harris Hawk Optimization with Blank Angle Region Enhanced Search. Symmetry 14 (5) (2022)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. CoRR (2021)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR (2021)
Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR (2021)
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
Searching for Two-Stream Models in Multivariate Space for Video Recognition. ICCV (2021)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV (2021)
Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. CoRR (2021)
Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
Rethinking the Self-Attention in Vision Transformers. CVPR Workshops (2021)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV (2021)
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. ICCV (2021)
Yanbin Xu, Zhicheng Yan, Bing Han, Feng Dong
An FPGA-Based Multifrequency EIT System With Reference Signal Measurement. IEEE Trans. Instrum. Meas. 70 (2021)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR (2020)
Zhicheng Yan, Yanbin Xu, Bing Han, Feng Dong
An FPGA-based multi-frequency EIT system with reference signal measurement. I2MTC (2020)
Zhicheng Yan, Chao Yang, Wei You, Jingjing Guo, Junwei Zhang, Yu Zheng, Jianfeng Ma
Achieving secure and convenient WLAN sharing in personal. IET Inf. Secur. 14 (6) (2020)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR (2020)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR (2019)
Zheng Shou, Zhicheng Yan, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Xudong Lin, Shih-Fu Chang
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CoRR (2019)
Fei Pan, Yanwen Guo, Zhicheng Yan, Jie Guo
Temporal Segment Convolutional Kernel Networks for Sequence Modeling of Videos. ICME (2019)
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. ICCV (2019)
Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CVPR (2019)
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. CoRR (2019)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR (2019)
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
Graph-Based Global Reasoning Networks. CVPR (2019)
Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV (2019)
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
Graph-Based Global Reasoning Networks. CoRR (2018)
Feida Zhu, Zhicheng Yan, Jiajun Bu, Yizhou Yu
Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features. IEEE Trans. Image Process. 26 (7) (2017)
Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. CoRR (2017)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. ACL (1) (2016)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. CoRR (2016)
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Automatic Photo Adjustment Using Deep Neural Networks. ACM Trans. Graph. 35 (2) (2016)
Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. CoRR (2016)
Liangliang Cao, Zhicheng Yan, John R. Smith
Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos. ICMR (2015)
Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. ICCV (2015)
Zhicheng Yan, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Robinson Piramuthu
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification. CoRR (2014)
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Automatic Photo Adjustment Using Deep Learning. CoRR (2014)
Zhicheng Yan, Yizhou Yu
Sparse similarity matrix learning for visual object retrieval. IJCNN (2013)
Jianbo Ye, Zhicheng Yan, Yizhou Yu
Fast nonrigid 3D retrieval using modal space transform. ICMR (2013)
Wei Chen, Zi'ang Ding, Song Zhang, Anna MacKay-Brandt, Stephen Correia, Huamin Qu, John Allen Crow, David F. Tate, Zhicheng Yan, Qunsheng Peng
A Novel Interface for Interactive Exploration of DTI Fibers. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Wei Chen, Zhicheng Yan, Song Zhang, John Allen Crow, David S. Ebert, Ronald M. McLaughlin, Katie B. Mullins, Robert Cooper, Zi'ang Ding, Jun Liao
Volume Illustration of Muscle from Diffusion Tensor Images. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Zhicheng Yan, Wei Chen, Aidong Lu, David S. Ebert
Context-aware Volume Modeling of Skeletal Muscles. Comput. Graph. Forum 28 (3) (2009)