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2020 – today
- 2022
[j5]Hongge Ren
, Yin Cui, Tao Shi:
Research on Anomaly Suppression Correlation Filtering Algorithm. IEEE Access 10: 2457-2468 (2022)- [j4]Chong Tan, Yin Cui, Yanjiang Li:
Global Consensus of High-Order Discrete-Time Multi-Agent Systems with Communication Delay and Saturation Constraint. Sensors 22(3): 1007 (2022) - [c25]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [i25]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - 2021
- [j3]Yin Cui, Hongge Ren:
Research on Visual Tracking Algorithm Based on Peak Sidelobe Ratio. IEEE Access 9: 105318-105326 (2021) - [c24]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR 2021: 2918-2928 - [c23]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CVPR 2021: 6964-6974 - [c22]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. NeurIPS 2021: 24206-24221 - [i24]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. CoRR abs/2104.11178 (2021) - [i23]Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui:
Zero-Shot Detection via Vision and Language Knowledge Distillation. CoRR abs/2104.13921 (2021) - [i22]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - [i21]Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie:
Single Image Texture Translation for Data Augmentation. CoRR abs/2106.13804 (2021) - [i20]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - [i19]Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello:
Revisiting 3D ResNets for Video Recognition. CoRR abs/2109.01696 (2021) - [i18]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i17]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i16]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - [i15]Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Open-Vocabulary Image Segmentation. CoRR abs/2112.12143 (2021) - 2020
- [j2]Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93: 103853 (2020) - [c21]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR 2020: 11589-11598 - [c20]Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie:
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. ECCV (1) 2020: 316-332 - [c19]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) 2020: 572-586 - [c18]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le:
Rethinking Pre-training and Self-training. NeurIPS 2020 - [i14]Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie:
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. CoRR abs/2004.12276 (2020) - [i13]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le:
Rethinking Pre-training and Self-training. CoRR abs/2006.06882 (2020) - [i12]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CoRR abs/2008.03800 (2020) - [i11]Yi Zhou, Yin Cui, Xiaoke Xu, Jidong Suo, Xiaoming Liu:
Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra. CoRR abs/2009.04185 (2020) - [i10]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR abs/2010.11426 (2020) - [i9]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR abs/2012.07177 (2020)
2010 – 2019
- 2019
- [b1]Yin Cui:
Learning from Fine-Grained and Long-Tailed Visual Data. Cornell University, USA, 2019 - [c17]Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. CVPR Workshops 2019: 21-25 - [c16]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019: 9268-9277 - [c15]Haijun Gu, Shucun Zhu, Yin Cui, Xin Miao, Haoyu Liu, Meiqi Liu:
Application of Agent in Security Platform. ICCC Workshops 2019: 233-238 - [c14]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. ICCV Workshops 2019: 3113-3116 - [i8]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CoRR abs/1901.05555 (2019) - [i7]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Matthew R. Scott, Hartwig Adam, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. CoRR abs/1906.05750 (2019) - [i6]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR abs/1912.05027 (2019) - [i5]Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim:
Measuring Dataset Granularity. CoRR abs/1912.10154 (2019) - 2018
- [c13]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018: 4109-4118 - [c12]Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie:
Learning to Evaluate Image Captioning. CVPR 2018: 5804-5812 - [c11]Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The INaturalist Species Classification and Detection Dataset. CVPR 2018: 8769-8778 - [c10]Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. ECCV (15) 2018: 90-105 - [c9]Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin:
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. RecSys 2018: 279-287 - [i4]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CoRR abs/1806.06193 (2018) - [i3]Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie:
Learning to Evaluate Image Captioning. CoRR abs/1806.06422 (2018) - 2017
- [c8]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058 - [c7]Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin:
Collaborative Metric Learning. WWW 2017: 193-201 - 2016
- [c6]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie:
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. CVPR 2016: 1153-1162 - 2015
- [c5]Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge J. Belongie, Deborah Estrin:
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. CIKM 2015: 183-192 - [c4]Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays:
Learning deep representations for ground-to-aerial geolocalization. CVPR 2015: 5007-5015 - [i2]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie:
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. CoRR abs/1512.05227 (2015) - 2014
- [c3]Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, Shih-Fu Chang:
Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images. ICMR 2014: 1 - [c2]Tao Chen, Felix X. Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang:
Object-Based Visual Sentiment Concept Analysis and Application. ACM Multimedia 2014: 367-376 - [c1]Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao:
A spatial-color layout feature for representing galaxy images. WACV 2014: 213-219 - [i1]Yin Cui, Dong Liu, Jiawei Chen, Shih-Fu Chang:
Building A Large Concept Bank for Representing Events in Video. CoRR abs/1403.7591 (2014)
2000 – 2009
- 2009
- [j1]Yin Cui, Yuejiao Fu, Abdulkadir Hussein:
Group sequential testing of homogeneity in genetic linkage analysis. Comput. Stat. Data Anal. 53(10): 3630-3639 (2009)
Coauthor Index
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last updated on 2022-06-25 01:04 CEST by the dblp team
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