引用次数
引用: 28,307
H-指数: 45
I10-指数 : 51
出版物: 67
Microsoft COCO Captions: Data Collection and Evaluation Server
C. Lawrence Zitnick , Piotr Dollár , Ramakrishna Vedantam , Saurabh Gupta
arXiv: Computer Vision and Pattern Recognition
1,638
2015
Large scale spectral clustering with landmark-based representation
Deng Cai , Xinlei Chen
national conference on artificial intelligence 313 -318
386
2011
An Implementation of Faster RCNN with Study for Region Sampling.
Abhinav Gupta , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
166
2017
Pythia v0.1: the Winning Entry to the VQA Challenge 2018.
Vivek Natarajan , Dhruv Batra , Marcus Rohrbach , Devi Parikh
arXiv: Computer Vision and Pattern Recognition
181
2018
Cycle-Consistency for Robust Visual Question Answering
Marcus Rohrbach , Devi Parikh , Meet Shah , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
131
2019
In Defense of Grid Features for Visual Question Answering
Erik Learned-Miller , Huaizu Jiang , Ishan Misra , Marcus Rohrbach
arXiv: Computer Vision and Pattern Recognition
216
2020
Improved Baselines with Momentum Contrastive Learning
Kaiming He , Ross B. Girshick , Haoqi Fan , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
1,800
2020
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian , Surya Ganguli , Lantao Yu , Xinlei Chen
arXiv: Learning
57
2021
Exploring Simple Siamese Representation Learning.
Kaiming He , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
1,767
2020
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA.
Abhinav Gupta , Marcus Rohrbach , Devi Parikh , Kenneth Marino
arXiv: Computer Vision and Pattern Recognition
68
2020
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation.
Dhruv Batra , Trevor Darrell , Devi Parikh , Erik Wijmans
european conference on computer vision 513 -529
38
2020
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Vedanuj Goswami , Duy Kien Nguyen , Xinlei Chen
international conference on learning representations
20
2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs.
Yuandong Tian , Surya Ganguli , Xinlei Chen
arXiv: Learning
156
2021
An Empirical Study of Training Self-Supervised Vision Transformers.
Kaiming He , Saining Xie , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
601
2021
Semi-supervised Mesh Segmentation and Labeling
Jiajun Lv , Xinlei Chen , Jin Huang , Hujun Bao
Computer Graphics Forum 31 ( 7) 2241 -2248
34
2012
Applying artificial vision models to human scene understanding.
Elissa M. Aminoff , Mariya Toneva , Abhinav Shrivastava , Xinlei Chen
Frontiers in Computational Neuroscience 9 8 -8
5
2015
Image analysis with nonlinear adaptive dimension reduction
Xinlei Chen , Xinquan Qu , Zijian Li
Proceedings of the Third International Conference on Internet Multimedia Computing and Service - ICIMCS '11 134 -137
1
2011
Spatially correlated nonnegative matrix factorization
Xinlei Chen , Cheng Li , Haifeng Liu , Deng Cai
Neurocomputing 139 15 -21
3
2014
Visualizing and Understanding Neural Models in NLP
Jiwei Li , Xinlei Chen , Eduard Hovy , Dan Jurafsky
north american chapter of the association for computational linguistics 681 -691
647
2016
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen , Li-Jia Li , Li Fei-Fei , Abhinav Gupta
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 7239 -7248
97
2018