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ORCIDZhicheng Yan
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2020 – today
- 2024
[j9]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): 749-763 (2024)- [c26]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CVPR Workshops 2024: 7750-7760 - [i21]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CoRR abs/2406.02535 (2024) - 2023
- [c25]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: 699-710 - [c24]Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan:
Going Denser with Open-Vocabulary Part Segmentation. ICCV 2023: 15407-15419 - [c23]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: 20053-20063 - [i20]Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan:
Going Denser with Open-Vocabulary Part Segmentation. CoRR abs/2305.11173 (2023) - [i19]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 abs/2306.00450 (2023) - [i18]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 abs/2309.08816 (2023) - 2022
- [j8]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): 967 (2022) - [c22]Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan:
Unified Transformer Tracker for Object Tracking. CVPR 2022: 8771-8780 - [c21]Zhaoyang Zhang, Yanbin Xu, Zhicheng Yan, Feng Dong:
Acoustoelectric signal measurement system based on FPGA. I2MTC 2022: 1-6 - [c20]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 - [c19]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: 2354-2363 - [i17]Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan:
Unified Transformer Tracker for Object Tracking. CoRR abs/2203.15175 (2022) - [i16]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 abs/2212.06833 (2022) - 2021
- [j7]Yanbin Xu, Zhicheng Yan, Bing Han, Feng Dong:
An FPGA-Based Multifrequency EIT System With Reference Signal Measurement. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c18]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: 3071-3075 - [c17]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR 2021: 15139-15148 - [c16]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: 579-589 - [c15]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. ICCV 2021: 6804-6815 - [c14]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: 8013-8022 - [c13]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: 535-544 - [i15]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. CoRR abs/2104.11227 (2021) - [i14]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 abs/2108.11939 (2021) - [i13]Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan:
Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR abs/2108.12957 (2021) - [i12]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 abs/2112.04710 (2021) - 2020
- [j6]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): 733-744 (2020) - [c12]Zhicheng Yan, Yanbin Xu, Bing Han, Feng Dong:
An FPGA-based multi-frequency EIT system with reference signal measurement. I2MTC 2020: 1-6 - [c11]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR 2020 - [i11]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR abs/2011.10949 (2020)
2010 – 2019
- 2019
- [c10]Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. CVPR 2019: 433-442 - [c9]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: 1268-1277 - [c8]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: 3434-3443 - [c7]Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan:
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV 2019: 8667-8677 - [c6]Fei Pan, Yanwen Guo, Zhicheng Yan, Jie Guo:
Temporal Segment Convolutional Kernel Networks for Sequence Modeling of Videos. ICME 2019: 1642-1647 - [i10]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 abs/1901.03460 (2019) - [i9]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 abs/1904.05049 (2019) - [i8]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - [i7]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR abs/1910.09217 (2019) - 2018
- [i6]Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. CoRR abs/1811.12814 (2018) - 2017
- [j5]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): 3542-3555 (2017) - [i5]Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba:
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. CoRR abs/1712.09374 (2017) - 2016
- [j4]Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu:
Automatic Photo Adjustment Using Deep Neural Networks. ACM Trans. Graph. 35(2): 11:1-11:15 (2016) - [c5]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. ACL (1) 2016 - [i4]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 abs/1603.04871 (2016) - [i3]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. CoRR abs/1606.09239 (2016) - 2015
- [c4]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: 2740-2748 - [c3]Liangliang Cao, Zhicheng Yan, John R. Smith:
Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos. ICMR 2015: 567-570 - 2014
- [i2]Zhicheng Yan, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Robinson Piramuthu:
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification. CoRR abs/1410.0736 (2014) - [i1]Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu:
Automatic Photo Adjustment Using Deep Learning. CoRR abs/1412.7725 (2014) - 2013
- [c2]Zhicheng Yan, Yizhou Yu:
Sparse similarity matrix learning for visual object retrieval. IJCNN 2013: 1-8 - [c1]Jianbo Ye, Zhicheng Yan, Yizhou Yu:
Fast nonrigid 3D retrieval using modal space transform. ICMR 2013: 121-126
2000 – 2009
- 2009
- [j3]Zhicheng Yan, Wei Chen, Aidong Lu, David S. Ebert:
Context-aware Volume Modeling of Skeletal Muscles. Comput. Graph. Forum 28(3): 887-894 (2009) - [j2]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): 1425-1432 (2009) - [j1]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): 1433-1440 (2009)
Coauthor Index
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