Wei Xu

According to our database, Wei Xu authored at least 57 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE.

Haonan Yu, Wei Xu

CoRR, 2024

2023

Efficient Multi-Task and Transfer Reinforcement Learning With Parameter-Compositional Framework.

Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka

IEEE Robotics Autom. Lett., 2023

Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge.

Yihan Hu, Kun Li, Pingyuan Liang, Jingyu Qian, Zhening Yang, Haichao Zhang, Wenxin Shao, Zhuangzhuang Ding, Wei Xu, Qiang Liu

CoRR, 2023

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning.

Haichao Zhang, Wei Xu, Haonan Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding Natural Gradient in Sobolev Spaces.

Qinxun Bai, Steven Rosenberg, Wei Xu

CoRR, 2022

Do You Need the Entropy Reward (in Practice)?

Haonan Yu, Haichao Zhang, Wei Xu

CoRR, 2022

Towards Safe Reinforcement Learning with a Safety Editor Policy.

Haonan Yu, Wei Xu, Haichao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PaCo: Parameter-Compositional Multi-task Reinforcement Learning.

Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Q-Learning.

Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning.

Haichao Zhang, Wei Xu, Haonan Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control.

Haonan Yu, Wei Xu, Haichao Zhang

CoRR, 2021

MetaView: Few-shot Active Object Recognition.

Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu

CoRR, 2021

TAAC: Temporally Abstract Actor-Critic for Continuous Control.

Haonan Yu, Wei Xu, Haichao Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generative Particle Variational Inference via Estimation of Functional Gradients.

Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu

Proceedings of the 38th International Conference on Machine Learning, 2021

Hierarchical Reinforcement Learning by Discovering Intrinsic Options.

Jesse Zhang, Haonan Yu, Wei Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding.

Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Implicit Generative Modeling for Efficient Exploration.

Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Good Representation via Continuous Attention.

Liang Zhao, Wei Xu

CoRR, 2019

UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos.

Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Zero-Shot Transfer VQA Dataset.

Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu

CoRR, 2018

Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos.

Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu

CoRR, 2018

Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking.

Han Shen, Lichao Huang, Chang Huang, Wei Xu

CoRR, 2018

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting.

Xingyi Cheng, Ruiqing Zhang, Jie Zhou, Wei Xu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Interactive Grounded Language Acquisition and Generalization in a 2D World.

Haonan Yu, Haichao Zhang, Wei Xu

Proceedings of the 6th International Conference on Learning Representations, 2018

Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding.

Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

LEGO: Learning Edge With Geometry All at Once by Watching Videos.

Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map.

Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Occlusion Aware Unsupervised Learning of Optical Flow.

Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents.

Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game.

Haichao Zhang, Haonan Yu, Wei Xu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency.

Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

State Tracking Networks for Dialog State Tracking.

Xuguang Wang, Xingyi Cheng, Jie Zhou, Wei Xu

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Occlusion Aware Unsupervised Learning of Optical Flow.

Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Wei Xu

CoRR, 2017

Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency.

Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia

CoRR, 2017

Unsupervised Learning Layers for Video Analysis.

Liang Zhao, Yang Wang, Yi Yang, Wei Xu

CoRR, 2017

Listen, Interact and Talk: Learning to Speak via Interaction.

Haichao Zhang, Haonan Yu, Wei Xu

CoRR, 2017

A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment.

Haonan Yu, Haichao Zhang, Wei Xu

CoRR, 2017

Dynamic Computational Time for Visual Attention.

Zhichao Li, Yi Yang, Xiao Liu, Shilei Wen, Wei Xu

CoRR, 2017

Dynamic Computational Time for Visual Attention.

Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation.

Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu

Trans. Assoc. Comput. Linguistics, 2016

Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks.

Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

CNN-RNN: A Unified Framework for Multi-label Image Classification.

Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Attention to Scale: Scale-Aware Semantic Image Segmentation.

Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases.

Zihang Dai, Lei Li, Wei Xu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN).

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille

CoRR, 2015

Bidirectional LSTM-CRF Models for Sequence Tagging.

Zhiheng Huang, Wei Xu, Kai Yu

CoRR, 2015

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering.

Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu

CoRR, 2015

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering.

Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia

CoRR, 2015

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question.

Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks.

Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

End-to-end learning of semantic role labeling using recurrent neural networks.

Jie Zhou, Wei Xu

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Explain Images with Multimodal Recurrent Neural Networks.

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille

CoRR, 2014

2005

A hierarchical naive Bayes mixture model for name disambiguation in author citations.

Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2003

Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning.

Yi Zhang, Wei Xu, James P. Callan

Proceedings of the Machine Learning, 2003

2000

Can artificial neural networks learn language models?

Wei Xu, Alex Rudnicky

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Language modeling for dialog system.

Wei Xu, Alex Rudnicky

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000