Weijie Lyu

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All published works

Action	Title	Year	Authors
+ PDF Chat	FaceLift: Single Image to 3D Head with View Generation and GS-LRM	2024	Weijie Lyu Yi Zhou Ming–Hsuan Yang Zhixin Shu
+ PDF Chat	Consistent Multimodal Generation via A Unified GAN Framework	2024	Zhu Zhen Yijun Li Weijie Lyu Krishna Kumar Singh Zhixin Shu Sören Pirk Derek Hoiem
+	Continual Learning in Open-vocabulary Classification with Complementary Memory Systems	2023	Zhen Zhu Weijie Lyu Yao Xiao Derek Hoiem
+	Consistent Multimodal Generation via A Unified GAN Framework	2023	Zhu Zhen Yijun Li Weijie Lyu Krishna Kumar Singh Zhixin Shu Sören Pirk Derek Hoiem
+	PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection	2023	Kuan‐Chih Huang Weijie Lyu Ming–Hsuan Yang Yi–Hsuan Tsai
+ PDF Chat	CircuitBot: Learning to survive with robotic circuit drawing	2022	Xianglong Tan Weijie Lyu André Rosendo
+	SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles	2022	Chejian Xu Wenhao Ding Weijie Lyu Zuxin Liu Shuai Wang Yihan He Hanjiang Hu Ding Zhao Bo Li
+	CircuitBot: Learning to Survive with Robotic Circuit Drawing	2020	Tan X Weijie Lyu André Rosendo
+	Optimizing coverage of 3D Wireless Multimedia Sensor Networks by means of deploying redundant sensors	2015	Shasha Xu Weijie Lyu Huilin Li

Common Coauthors

Coauthor	Papers Together
Zhixin Shu	3
Derek Hoiem	3
Sören Pirk	2
Ming–Hsuan Yang	2
Yijun Li	2
Zhu Zhen	2
André Rosendo	2
Wenhao Ding	1
Xianglong Tan	1
Krishna Kumar Singh	1
Tan X	1
Shuai Wang	1
Huilin Li	1
Zhen Zhu	1
Krishna Kumar Singh	1
Yao Xiao	1
Yihan He	1
Yi Zhou	1
Chejian Xu	1
Yi–Hsuan Tsai	1
Bo Li	1
Zuxin Liu	1
Ding Zhao	1
Hanjiang Hu	1
Shasha Xu	1
Kuan‐Chih Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Designing deep networks for surface normal estimation	2015	Xiaolong Wang David F. Fouhey Abhinav Gupta	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+	Predictive Entropy Search for Efficient Global Optimization of Black-box Functions	2014	José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Joint 2D-3D-Semantic Data for Indoor Scene Understanding	2017	Iro Armeni Sasha Sax Amir Zamir Silvio Savarese	1
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	1
+	Fast Information-theoretic Bayesian Optimisation	2017	Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne	1
+ PDF Chat	Agricultural Robotics: The Future of Robotic Agriculture	2018	Tom Duckett Simon Pearson Simon Blackmore Bruce Grieve	1
+	A Tutorial on Bayesian Optimization	2018	Peter I. Frazier	1
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	1
+	Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation	2019	Ahsan Alvi Binxin Ru Jan Calliess Stephen Roberts Michael A. Osborne	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+ PDF Chat	SE3-nets: Learning rigid body motion using deep neural networks	2017	Arunkumar Byravan Dieter Fox	1
+ PDF Chat	Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos	2019	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova	1
+ PDF Chat	Taskonomy: Disentangling Task Transfer Learning	2018	Amir Zamir Alexander F. Sax William Shen Leonidas Guibas Jitendra Malik Silvio Savarese	1
+	RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis	2019	Atsuhiro Noguchi Tatsuya Harada	1
+ PDF Chat	Robust Learning Through Cross-Task Consistency	2020	Amir Zamir Alexander F. Sax Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas Guibas	1
+	Bayesian Optimisation over Multiple Continuous and Categorical Inputs	2019	Binxin Ru Ahsan Alvi Vu Nguyen Michael A. Osborne Stephen Roberts	1
+	Training Generative Adversarial Networks with Limited Data	2020	Tero Karras Miika Aittala Janne Hellsten Samuli Laine Jaakko Lehtinen Timo Aila	1
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	1
+	Multi-Task Learning with Deep Neural Networks: A Survey	2020	Michael Crawshaw	1
+	Differentiable Augmentation for Data-Efficient GAN Training	2020	Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han	1
+ PDF Chat	A Survey on Multi-Task Learning	2021	Yu Zhang Qiang Yang	1
+	Diffusion Models Beat GANs on Image Synthesis	2021	Prafulla Dhariwal Alex Nichol	1
+ PDF Chat	Taskology: Utilizing Task Relations at Scale	2021	Yao Lu Sören Pirk Jan Dlabal Anthony Brohan Ankita Pasad Chen Zhao Vincent Casser Anelia Angelova Ariel Gordon	1
+ PDF Chat	DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort	2021	Yuxuan Zhang Huan Ling Jun Gao Kangxue Yin Jean-Francois Lafleche Adela Barriuso Antonio Torralba Sanja Fidler	1
+ PDF Chat	Learning to Recover 3D Scene Shape from a Single Image	2021	Wei Yin Jianming Zhang Oliver Wang Simon Niklaus Long Mai Simon Chen Chunhua Shen	1
+	Alias-Free Generative Adversarial Networks	2021	Tero Karras Miika Aittala Samuli Laine Erik Härkönen Janne Hellsten Jaakko Lehtinen Timo Aila	1
+ PDF Chat	Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization	2021	Daiqing Li Junlin Yang Karsten Kreis Antonio Torralba Sanja Fidler	1
+	Agricultural Robotics: The Future of Robotic Agriculture	2018	Tom Duckett Simon Pearson Simon Blackmore Bruce Grieve Wen‐Hua Chen Grzegorz Cielniak Jason Cleaversmith Jian Dai Steve Davis Charles W. Fox	1
+ PDF Chat	Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans	2021	Ainaz Eftekhar Alexander F. Sax Jitendra Malik Amir Zamir	1
+	A Tutorial on Bayesian Optimization	2018	Peter I. Frazier	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	1
+ PDF Chat	3D-Aware Indoor Scene Synthesis with Depth Priors	2022	Zifan Shi Yujun Shen Jiapeng Zhu Dit‐Yan Yeung Qifeng Chen	1
+ PDF Chat	3D Common Corruptions and Data Augmentation	2022	Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir	1
+ PDF Chat	Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps	2022	Seung Wook Kim Karsten Kreis Daiqing Li Antonio Torralba Sanja Fidler	1
+	LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop	2015	Fisher Yu Yinda Zhang Shuran Song Ari Seff Jianxiong Xiao	1