Structural-RNN: Deep Learning on Spatio-Temporal Graphs

17 November 2015

Silvio Savarese

Papers citing "Structural-RNN: Deep Learning on Spatio-Temporal Graphs"

50 / 457 papers shown

Title
Naturalistic Robot Arm Trajectory Generation via Representation Learning Jayjun Lee Adam J. Spiers 10 0 0 14 Sep 2023
Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features Tetsuya Abe Ryusuke Sagawa Ko Ayusawa Wataru Takano 8 0 0 12 Sep 2023
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction Mohsen Zand Ali Etemad Michael A. Greenspan 3DH 4 2 0 31 Aug 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition Ruijie Yao Sheng Jin Lumin Xu Wang Zeng Wentao Liu Chao Qian Ping Luo Ji Wu 8 2 0 28 Aug 2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction Chenxin Xu R. Tan Yuhong Tan Siheng Chen Xinchao Wang Yanfeng Wang 3DH 30 20 0 17 Aug 2023
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis Esteve Valls Mascaro Hyemin Ahn Dongheui Lee CVBM 15 4 0 14 Aug 2023
Joint-Relation Transformer for Multi-Person Motion Prediction Qingyao Xu Wei Mao Jingze Gong Chenxin Xu Siheng Chen Weidi Xie Ya-Qin Zhang Yanfeng Wang ViT 20 8 0 09 Aug 2023
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction Sibo Tian Minghui Zheng Xiao Liang DiffM 16 9 0 30 Jul 2023
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction Hung Tran Vuong Le Svetha Venkatesh T. Tran 15 1 0 24 Jul 2023
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles Kareem A. Eltouny Wansong Liu Sibo Tian Minghui Zheng Xiao Liang 3DH 8 7 0 07 Jul 2023
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving Vidyaa Krishnan Nivash A. H. Qureshi 11 1 0 26 Jun 2023
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence Aalok Gangopadhyay A. N. Harish Prajwal Singh S. Raman 3DH AI4CE 18 0 0 23 Jun 2023
Dance Generation by Sound Symbolic Words Miki Okamura Naruya Kondo Tatsuki Fushimi Maki Sakamoto Yoichi Ochiai 12 4 0 06 Jun 2023
Human-Object Interaction Prediction in Videos through Gaze Following Zhifan Ni Esteve Valls Mascaro Hyemin Ahn Dongheui Lee 14 5 0 06 Jun 2023
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention Frederik S.B. Westerhout J. Schumann Arkady Zgonnikov 14 2 0 31 May 2023
Spatio-Temporal Transformer-Based Reinforcement Learning for Robot Crowd Navigation Hao He Hao Fu Qiang-qiang Wang Shuai Zhou W. Liu 21 2 0 26 May 2023
Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion Jiarui Sun Girish Chowdhary DiffM 21 6 0 21 May 2023
Towards Accurate Human Motion Prediction via Iterative Refinement Jiarui Sun Girish Chowdhary 3DH 8 2 0 08 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 14 3 0 02 May 2023
What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging Zitian Tang Wenjie Ye Wei-Chiu Ma Hang Zhao 3DH 17 3 0 26 Apr 2023
A Two-part Transformer Network for Controllable Motion Synthesis Shuaiying Hou Hongyu Tao Hujun Bao Weiwei Xu ViT 19 6 0 25 Apr 2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model Yuming Du Robin Kips Albert Pumarola Sebastian Starke Ali K. Thabet A. Sanakoyeu VGen DiffM 21 87 0 17 Apr 2023
About latent roles in forecasting players in team sports Luca Scofano Alessio Sampieri Giuseppe Re Matteo Almanza A. Panconesi Fabio Galasso AI4TS 6 1 0 17 Apr 2023
Toward Reliable Human Pose Forecasting with Uncertainty Saeed Saadatnejad Mehrshad Mirmohammadi Matin Daghyani Parham Saremi Yashar Zoroofchi Benisi Amir Alimohammadi Zahra Tehraninasab Taylor Mordan Alexandre Alahi 11 5 0 13 Apr 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction Qiongjie Cui Huaijiang Sun Jianfeng Lu Bin Li Weiqing Li 3DH OOD 20 4 0 13 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 8 4 0 12 Apr 2023
DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback Xiaoning Sun Huaijiang Sun Bin Li Dong Wei Weiqing Li Jianfeng Lu 3DH 14 4 0 10 Apr 2023
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking Jubo Yu Tianxiang Ren Shihui Guo Fengyi Fang Kai Wang Zi-Xin Zeng Yazhan Zhang A. Aristidou Yipeng Qin 3DV 16 0 0 04 Apr 2023
Diverse Motion In-betweening with Dual Posture Stitching Tianxiang Ren Jubo Yu Shihui Guo Ying Ma Yutao Ouyang Zi-Xin Zeng Yazhan Zhang Yipeng Qin VGen DiffM 16 2 0 25 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 8 2 0 25 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 8 54 0 20 Mar 2023
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting Xiaogang Peng Siyuan Mao Zizhao Wu 8 18 0 09 Mar 2023
Open-Vocabulary Affordance Detection in 3D Point Clouds Toan Ngyen Minh Nhat Vu Annalies Vuong Dzung Nguyen T. Vo Ngan Le A. Nguyen 3DPC 8 32 0 04 Mar 2023
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction? Hyemin Ahn Esteve Valls Mascaro Dongheui Lee VGen DiffM 6 17 0 28 Feb 2023
Robust Human Motion Forecasting using Transformer-based Model Esteve Valls Mascaro Shuo Ma Hyemin Ahn Dongheui Lee 17 8 0 16 Feb 2023
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors Sirui Xu Yu-xiong Wang Liangyan Gui 16 43 0 09 Feb 2023
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric Eivind Meyer Maurice Brenner Bowen Zhang Max Schickert Bilal Musani Matthias Althoff GNN 20 6 0 02 Feb 2023
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning Aneesh Bhattacharya Manas Paranjape Uttaran Bhattacharya Aniket Bera DiffM 8 1 0 30 Jan 2023
Traffic Prediction in Cellular Networks using Graph Neural Networks Maryam Khalid GNN 11 0 0 30 Jan 2023
Audio2Gestures: Generating Diverse Gestures from Audio Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Linchao Bao Zhenyu He DiffM SLR 15 7 0 17 Jan 2023
Learning Road Scene-level Representations via Semantic Region Prediction Zihao Xiao Alan Yuille Yi-Ting Chen 13 2 0 02 Jan 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 11 4 0 17 Dec 2022
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs Osman Ulger Julian Wiederer Mohsen Ghafoorian Vasileios Belagiannis Pascal Mettes 24 0 0 06 Dec 2022
Proactive Robot Assistance via Spatio-Temporal Object Modeling Maithili Patel Sonia Chernova 8 13 0 28 Nov 2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang Jiyuan Chen Tongbo Pan Z. Fan Boyuan Zhang Renhe Jiang Lingyu Zhang Yi Xie Zhongyin Wang Xuan Song GNN 11 5 0 28 Nov 2022
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations Christian Diller Thomas Funkhouser Angela Dai 12 1 0 25 Nov 2022
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction Germán Barquero Sergio Escalera Cristina Palmero VGen DiffM 6 67 0 25 Nov 2022
Interaction Region Visual Transformer for Egocentric Action Anticipation Debaditya Roy Ramanathan Rajendiran Basura Fernando 20 15 0 25 Nov 2022
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach HaiLong Gong Zirui Li Chao Lu Guodong Du Jianwei Gong 10 0 0 18 Nov 2022
Rethinking Learning Approaches for Long-Term Action Anticipation Megha Nawhal Akash Abdu Jyothi Greg Mori AI4TS 26 17 0 20 Oct 2022