Xinyi Huang

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All published works

Action	Title	Year	Authors
+ PDF Chat	DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency	2024	Xiaojing Zhong Xinyi Huang Xiaofeng Yang Guosheng Lin Qiang Wu
+	SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization	2023	Xiaojing Zhong Xinyi Huang Zhonghua Wu Guosheng Lin Qiang Wu
+ PDF Chat	Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data	2021	Suphanut Jamonnak Ye Zhao Xinyi Huang Md Amiruzzaman
+ PDF Chat	Towards annotation-free evaluation of cross-lingual image captioning	2021	Aozhu Chen Xinyi Huang Hailan Lin Xirong Li
+	Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning	2020	Aozhu Chen Xinyi Huang Hailan Lin Xirong Li
+	Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images	2020	Xinyi Huang Suphanut Jamonnak Ye Zhao Boyu Wang Minh Hoai Kevin G. Yager Wei Xu
+	Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images	2020	Xinyi Huang Suphanut Jamonnak Ye Zhao Boyu Wang Minh Hoai Kevin G. Yager Wei Xu
+	Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning	2020	Aozhu Chen Xinyi Huang Hailan Lin Xirong Li

Common Coauthors

Coauthor	Papers Together
Suphanut Jamonnak	3
Xirong Li	3
Aozhu Chen	3
Ye Zhao	3
Hailan Lin	3
Kevin G. Yager	2
Guosheng Lin	2
Minh Hoai	2
Qiang Wu	2
Boyu Wang	2
Xiaojing Zhong	2
Wei Xu	2
Md Amiruzzaman	1
Zhonghua Wu	1
Xiaofeng Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	3
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	3
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	2
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Towards Better Analysis of Deep Convolutional Neural Networks	2016	Mengchen Liu Jiaxin Shi Zhen Li Chongxuan Li Jun Zhu Shi‐Xia Liu	2
+	“Why Should I Trust You?”: Explaining the Predictions of Any Classifier	2016	Marco Ribeiro Sameer Singh Carlos Guestrin	2
+	Embedding Projector: Interactive Visualization and Interpretation of Embeddings	2016	Daniel Smilkov Nikhil Thorat Charles Nicholson Emily Reif Fernanda Viégas Martin Wattenberg	2
+ PDF Chat	X-Ray Scattering Image Classification Using Deep Learning	2017	Boyu Wang Kevin G. Yager Dantong Yu Minh Hoai	2
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	2
+ PDF Chat	ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models	2017	Minsuk Kahng Pierre Andrews Aditya Kalro Duen Horng Chau	2
+ PDF Chat	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	2018	Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Jay Gould Lei Zhang	2
+	Direct-Manipulation Visualization of Deep Networks	2017	Daniel Smilkov Shan Carter D. Sculley Fernanda Viégas Martin Wattenberg	2
+	Discriminability objective for training descriptive captions	2018	Ruotian Luo Brian Price Scott Cohen Gregory Shakhnarovich	2
+ PDF Chat	Object Detection With Deep Learning: A Review	2019	Zhong‐Qiu Zhao Peng Zheng Shou-Tao Xu Xindong Wu	2
+ PDF Chat	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation	2018	Minsuk Kahng Nikhil Thorat Duen Horng Chau Fernanda Viégas Martin Wattenberg	2
+ PDF Chat	A causal framework for explaining the predictions of black-box sequence-to-sequence models	2017	David Alvarez-Melis Tommi Jaakkola	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval	2019	Xirong Li Chaoxi Xu Xiaoxu Wang Weiyu Lan Zhengxiong Jia Gang Yang Jieping Xu	2
+ PDF Chat	Visual Analytics for Explainable Deep Learning	2018	Jaegul Choo Shi‐Xia Liu	2
+	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra	2
+ PDF Chat	Improving Captioning for Low-Resource Languages by Cycle Consistency	2019	Yike Wu Shiwan Zhao Chen Jia Ying Zhang Xiaojie Yuan Zhong Su	2
+	Unsupervised Cross-lingual Image Captioning.	2020	Jiahui Gao Yi Zhou Philip L. H. Yu Jiuxiang Gu	2
+ PDF Chat	Predicting Visual Features From Text for Image and Video Caption Retrieval	2018	Jianfeng Dong Xirong Li Cees G. M. Snoek	2
+	Attention on Attention for Image Captioning	2019	Lun Huang Wenmin Wang Jie Chen Xiao-Yong Wei	1
+ PDF Chat	Fluency-Guided Cross-Lingual Image Captioning	2017	Weiyu Lan Xirong Li Jianfeng Dong	1
+ PDF Chat	Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards	2019	Yuqing Song Shizhe Chen Yida Zhao Qin Jin	1
+ PDF Chat	LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks	2017	Hendrik Strobelt Sebastian Gehrmann Hanspeter Pfister Alexander M. Rush	1
+ PDF Chat	Attention on Attention for Image Captioning	2019	Lun Huang Wenmin Wang Jie Chen Xiao-Yong Wei	1
+	Unpaired Image Captioning by Language Pivoting	2018	Jiuxiang Gu Shafiq Joty Jianfei Cai Gang Wang	1
+ PDF Chat	RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records	2018	Bum Chul Kwon Minje Choi Joanne Taery Kim Edward Choi Youngbin Kim Soon‐Wook Kwon Jimeng Sun Jaegul Choo	1
+ PDF Chat	End-to-End Race Driving with Deep Reinforcement Learning	2018	Maximilian Jaritz Raoul de Charette Marin Toromanoff Etienne Pérot Fawzi Nashashibi	1
+	Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals	2018	Sören Becker Marcel R. Ackermann Sebastian Lapuschkin Klaus‐Robert Müller Wojciech Samek	1
+	iCap: Interactive Image Captioning with Predictive Text	2020	Zhengxiong Jia Xirong Li	1
+ PDF Chat	End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners	2018	Simon Hecker Dengxin Dai Luc Van Gool	1
+ PDF Chat	iCap: Interactive Image Captioning with Predictive Text	2020	Zhengxiong Jia Xirong Li	1
+	VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research	2019	Xin Wang Jiawei Wu Junkun Chen Lei Li Yuan‐Fang Wang William Yang Wang	1
+ PDF Chat	A Survey of Autonomous Driving: <i>Common Practices and Emerging Technologies</i>	2020	Ekim Yurtsever Jacob Lambert Alexander Carballo Kazuya Takeda	1
+ PDF Chat	BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning	2020	Fisher Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car	2017	Mariusz Bojarski Philip Yeres Anna Choromanska Krzysztof Choromański Bernhard Firner Lawrence D. Jackel Urs Müller	1
+ PDF Chat	Unpaired Image Captioning by Language Pivoting	2018	Jiuxiang Gu Shafiq Joty Jianfei Cai Gang Wang	1
+	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers	2018	Fred Hohman Minsuk Kahng Robert Pienta Duen Horng Chau	1
+ PDF Chat	Interpretable deep neural networks for single-trial EEG classification	2016	Irene Sturm Sebastian Lapuschkin Wojciech Samek Klaus‐Robert Müller	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+ PDF Chat	<i>VATLD</i>: A <i>V</i>isual <i>A</i>nalytics System to Assess, Understand and Improve <i>T</i>raffic <i>L</i>ight <i>D</i>etection	2020	Liang Gou Lincan Zou Nanxiang Li Michael Hofmann Arvind Kumar Shekar Axel Wendt Liu Ren	1
+ PDF Chat	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving	2015	Chenyi Chen Ari Seff Alain L. Kornhauser Jianxiong Xiao	1
+ PDF Chat	Deep Reinforcement Learning framework for Autonomous Driving	2017	Ahmad El Sallab Mohammed Abdou Etienne Pérot Senthil Yogamani	1