Xiaodan Liang
机构: Associate Professor, Sun Yat-sen University, MBZUAI, CMU, NUS
每年引用次数
引用次数
引用: 25,741
H-指数: 80
I10-指数 : 219
出版物: 350
Composable Text Control Operations in Latent Space with Ordinary Differential Equations
Liu , Guangyi and Feng , Zeyu and Gao , Yuan and Yang
arXiv preprint arXiv:2208.00638
2022
Scale-aware Fast R-CNN for Pedestrian Detection
Xiaodan Liang , Shuicheng Yan , Jiashi Feng , Jianan Li
arXiv: Computer Vision and Pattern Recognition
761
2015
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models
Xiaodan Liang , Liang Lin , Jianhuang Lai , Yuanlu Xu
IEEE Transactions on Image Processing 23 ( 7) 3191 -3202
59
2014
Proposal-free Network for Instance-level Object Segmentation
Jianchao Yang , Xiaodan Liang , Xiaohui Shen , Liang Lin
arXiv: Computer Vision and Pattern Recognition
250
2015
Attentive Contexts for Object Detection
Xiaodan Liang , Jian Dong , Shuicheng Yan , Yunchao Wei
arXiv: Computer Vision and Pattern Recognition
222
2016
Tree-structured reinforcement learning for sequential object localization
Xiaodan Liang , Shuicheng Yan , Jiashi Feng , Wen Feng Lu
neural information processing systems 29 127 -135
73
2016
Recurrent 3D Pose Sequence Machines
Xiaodan Liang , Liang Lin , Hui Cheng , Mude Lin
arXiv: Computer Vision and Pattern Recognition
1
2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Abhinav Gupta , Yuan Yuan , Dit-Yan Yeung , Xiaodan Liang
arXiv: Computer Vision and Pattern Recognition
85
2017
Visual Question Reasoning on General Dependency Tree
Xiaodan Liang , Liang Lin , Bailing Li , Guanbin Li
arXiv: Computer Vision and Pattern Recognition
40
2018
DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization
Eric P. Xing , Xiaodan Liang , Michael Kampffmeyer , Yujia Zhang
arXiv: Computer Vision and Pattern Recognition
29
2018
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Eric P. Xing , Xiaodan Liang , Zhiting Hu , Christy Y. Li
arXiv: Computer Vision and Pattern Recognition
202
2018
Deep Generative Models with Learnable Knowledge Constraints
Eric P. Xing , Xiaodan Liang , Zhiting Hu , Lianhui Qin
neural information processing systems 31 10501 -10512
81
2018
Query-Conditioned Three-Player Adversarial Network for Video Summarization
Eric P. Xing , Xiaodan Liang , Michael Kampffmeyer , Yujia Zhang
arXiv: Computer Vision and Pattern Recognition
37
2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Eric P. Xing , Xiaodan Liang , Zhiting Hu , Xuezhe Ma
arXiv: Computation and Language
58
2018
Symbolic Graph Reasoning Meets Convolutions
Eric P. Xing , Xiaodan Liang , Liang Lin , Zhiting Hu
neural information processing systems 31 1853 -1863
143
2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Eric Xing , Ruslan Salakhutdinov , Xiaodan Liang , Zhiting Hu
arXiv: Learning
34
2018
Towards Multi-pose Guided Virtual Try-on Network
Haoye Dong , Xiaodan Liang , Xiaohui Shen , Bochao Wang
arXiv: Computer Vision and Pattern Recognition
154
2019
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
Xiaodan Liang , Liang Lin , Xiaopeng Yan , Guanbin Li
arXiv: Learning
2019
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Xiaodan Liang , Liang Lin , Ke Gong , Qixian Zhou
arXiv: Computation and Language
102
2019
Is Faster R-CNN Doing Well for Pedestrian Detection?
Xiaodan Liang , Liang Lin , Kaiming He , Liliang Zhang
arXiv: Computer Vision and Pattern Recognition
909
2016