暂无分享,去创建一个
Masayoshi Tomizuka | Hengbo Ma | Srikanth Malla | Chiho Choi | Fan Yang | Jiachen Li | M. Tomizuka | Jiachen Li | Hengbo Ma | F. Yang | Chiho Choi | Srikanth Malla
[1] Dieter Fox,et al. Causal Discovery in Physical Systems from Videos , 2020, NeurIPS.
[2] Yanfeng Wang,et al. Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Kristian Kersting,et al. Structured Object-Aware Physics Prediction for Video Modeling and Planning , 2020, ICLR.
[4] Silvio Savarese,et al. Social LSTM: Human Trajectory Prediction in Crowded Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Chengqi Zhang,et al. Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling , 2018, IJCAI.
[6] Li Zhao,et al. Attention-based LSTM for Aspect-level Sentiment Classification , 2016, EMNLP.
[7] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[8] Wei Liu,et al. Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic , 2018, IJCAI.
[9] Behzad Dariush,et al. Looking to Relations for Future Trajectory Forecast , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Razvan Pascanu,et al. Visual Interaction Networks: Learning a Physics Simulator from Video , 2017, NIPS.
[11] Massimiliano Pontil,et al. Learning Discrete Structures for Graph Neural Networks , 2019, ICML.
[12] R. Zemel,et al. Neural Relational Inference for Interacting Systems , 2018, ICML.
[13] Yi Pan,et al. Multi-Horizon Time Series Forecasting with Temporal Attention Learning , 2019, KDD.
[14] Chiho Choi,et al. Shared Cross-Modal Trajectory Prediction for Autonomous Driving , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[16] Roger Zimmermann,et al. Towards Natural and Accurate Future Motion Prediction of Humans and Animals , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Wenjun Zeng,et al. Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection , 2018, IEEE Transactions on Image Processing.
[18] Boyu Wang,et al. Active Vision for Early Recognition of Human Actions , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Xiaogang Wang,et al. Residual Attention Network for Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Masayoshi Tomizuka,et al. Conditional Generative Neural System for Probabilistic Trajectory Prediction , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[21] Elena Corina Grigore,et al. CoverNet: Multimodal Behavior Prediction Using Trajectory Sets , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Wenhao Wu,et al. Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Philip H. S. Torr,et al. DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Silvio Savarese,et al. Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks , 2019, NeurIPS.
[25] Jakob Uszkoreit,et al. A Decomposable Attention Model for Natural Language Inference , 2016, EMNLP.
[26] Mathieu Salzmann,et al. History Repeats Itself: Human Motion Prediction via Motion Attention , 2020, ECCV.
[27] Shuiwang Ji,et al. Graph Representation Learning via Hard and Channel-Wise Attention Networks , 2019, KDD.
[28] Abduallah A. Mohamed,et al. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Srikanth Malla,et al. LOKI: Long Term and Key Intentions for Trajectory Prediction , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[30] Zhen Zhang,et al. Convolutional Sequence to Sequence Model for Human Dynamics , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Yee Whye Teh,et al. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables , 2016, ICLR.
[32] Garrison W. Cottrell,et al. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction , 2017, IJCAI.
[33] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[34] Mohan M. Trivedi,et al. Convolutional Social Pooling for Vehicle Trajectory Prediction , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[35] Masayoshi Tomizuka,et al. Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking , 2021, IEEE Transactions on Intelligent Transportation Systems.
[36] David Isele,et al. Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships , 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[37] Yedid Hoshen,et al. VAIN: Attentional Multi-agent Predictive Modeling , 2017, NIPS.
[38] Hongdong Li,et al. Learning Trajectory Dependencies for Human Motion Prediction , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[39] Dimitris N. Metaxas,et al. MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Zhaoxin Li,et al. STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[41] Jean Oh,et al. Social Attention: Modeling Attention in Human Crowds , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[42] Ming-Hsuan Yang,et al. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[43] Alexander Schwing,et al. Dynamic Neural Relational Inference , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] M. Tomizuka,et al. EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning , 2020, NeurIPS.
[45] Ruslan Salakhutdinov,et al. Multiple Futures Prediction , 2019, NeurIPS.
[46] Benjamin Sapp,et al. MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction , 2019, CoRL.
[47] Masayoshi Tomizuka,et al. Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory , 2021, IEEE Robotics and Automation Letters.
[48] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[49] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[51] C. Lee Giles,et al. A Neural Temporal Model for Human Motion Prediction , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[53] Dragomir Anguelov,et al. VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Tieniu Tan,et al. An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Marco Pavone,et al. Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control , 2020, ArXiv.
[56] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[57] Qiang Xu,et al. nuScenes: A Multimodal Dataset for Autonomous Driving , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Lei Zhang,et al. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[59] Hassan Foroosh,et al. Self-Attention Network for Skeleton-based Human Action Recognition , 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[60] Ting Zhao,et al. Pyramid Feature Attention Network for Saliency Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Jürgen Schmidhuber,et al. Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions , 2018, ICLR.
[62] Masayoshi Tomizuka,et al. Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge , 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).
[63] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Michael J. Black,et al. On Human Motion Prediction Using Recurrent Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).