{"list":"other","total":68,"rows":[{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1503.03585","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","created":"2015-03-12","cited_by_count":7058},{"id":"1907.05600","title":"Generative Modeling by Estimating Gradients of the Data Distribution","created":"2019-07-12","cited_by_count":4101},{"id":"2102.09672","title":"Improved Denoising Diffusion Probabilistic Models","created":"2021-02-18","cited_by_count":3761},{"id":"1803.10892","title":"Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks","created":"2018-03-29","cited_by_count":690},{"id":"2103.14023","title":"AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting","created":"2021-03-25","cited_by_count":331},{"id":"2002.11927","title":"Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction","created":"2020-02-27","cited_by_count":325},{"id":"1704.04394","title":"DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents","created":"2017-04-14","cited_by_count":310},{"id":"1806.01482","title":"SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints","created":"2018-06-05","cited_by_count":298},{"id":"2004.02025","title":"It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction","created":"2020-04-04","cited_by_count":236},{"id":"1907.03395","title":"Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks","created":"2019-07-04","cited_by_count":229},{"id":"2005.08514","title":"Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction","created":"2020-05-18","cited_by_count":218},{"id":"2306.03083","title":"MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion","created":"2023-06-05","cited_by_count":213},{"id":"1710.04689","title":"Social Attention: Modeling Attention in Human Crowds","created":"2017-10-12","cited_by_count":186},{"id":"2203.13777","title":"Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion","created":"2022-03-25","cited_by_count":185},{"id":"2012.01526","title":"From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting","created":"2020-12-02","cited_by_count":167},{"id":"1904.04776","title":"Multi-Agent Tensor Fusion for Contextual Trajectory Prediction","created":"2019-04-09","cited_by_count":131},{"id":"2204.08770","title":"GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning","created":"2022-04-19","cited_by_count":128},{"id":"1902.03748","title":"Peeking into the Future: Predicting Future Person Activities and Locations in Videos","created":"2019-02-11","cited_by_count":114},{"id":"1903.02793","title":"SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction","created":"2019-03-07","cited_by_count":111},{"id":"2104.01528","title":"SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction","created":"2021-04-04","cited_by_count":97},{"id":"2303.10876","title":"EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning","created":"2023-03-20","cited_by_count":97},{"id":"2203.11474","title":"Remember Intentions: Retrospective-Memory-based Trajectory Prediction","created":"2022-03-22","cited_by_count":86},{"id":"1905.01631","title":"Conditional Generative Neural System for Probabilistic Trajectory Prediction","created":"2019-05-05","cited_by_count":76},{"id":"1912.06445","title":"The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction","created":"2019-12-13","cited_by_count":72},{"id":"2001.00735","title":"Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans","created":"2020-01-03","cited_by_count":72},{"id":"2006.03340","title":"MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction","created":"2020-06-05","cited_by_count":69},{"id":"2203.08207","title":"SocialVAE: Human Trajectory Prediction using Timewise Latents","created":"2022-03-15","cited_by_count":67},{"id":"2004.10402","title":"Recursive Social Behavior Graph for Trajectory Prediction","created":"2020-04-22","cited_by_count":66},{"id":"2207.10435","title":"Human Trajectory Prediction via Neural Social Physics","created":"2022-07-21","cited_by_count":66},{"id":"2103.14107","title":"Stepwise Goal-Driven Networks for Trajectory Prediction","created":"2021-03-25","cited_by_count":62},{"id":"2108.09274","title":"MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction","created":"2021-08-20","cited_by_count":61},{"id":"2104.03086","title":"Trajectory Prediction with Latent Belief Energy-Based Model","created":"2021-04-07","cited_by_count":60},{"id":"2201.07189","title":"MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction","created":"2022-01-18","cited_by_count":59},{"id":"2012.11717","title":"Social NCE: Contrastive Learning of Socially-aware Motion Representations","created":"2020-12-21","cited_by_count":58},{"id":"2010.01114","title":"Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation","created":"2020-10-02","cited_by_count":57},{"id":"2203.05046","title":"Adaptive Trajectory Prediction via Transferable GNN","created":"2022-03-09","cited_by_count":51},{"id":"2007.14558","title":"BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation","created":"2020-07-29","cited_by_count":47},{"id":"2103.07854","title":"Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis","created":"2021-03-14","cited_by_count":46},{"id":"2203.13471","title":"Non-Probability Sampling Network for Stochastic Human Trajectory Prediction","created":"2022-03-25","cited_by_count":46},{"id":"2110.07288","title":"View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums","created":"2021-10-14","cited_by_count":45},{"id":"2105.03136","title":"Interpretable Social Anchors for Human Trajectory Forecasting in Crowds","created":"2021-05-07","cited_by_count":44},{"id":"2207.09953","title":"Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction","created":"2022-07-20","cited_by_count":44},{"id":"1702.05552","title":"Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection","created":"2017-02-18","cited_by_count":42},{"id":"2107.14202","title":"Human Trajectory Prediction via Counterfactual Analysis","created":"2021-07-29","cited_by_count":42},{"id":"2307.09306","title":"EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting","created":"2023-07-18","cited_by_count":41},{"id":"1908.09008","title":"Conditional Flow Variational Autoencoders for Structured Sequence Prediction","created":"2019-08-24","cited_by_count":37},{"id":"2203.04781","title":"How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting","created":"2022-03-09","cited_by_count":35},{"id":"2203.15302","title":"Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes","created":"2022-03-29","cited_by_count":32},{"id":"2303.16574","title":"FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction","created":"2023-03-29","cited_by_count":31},{"id":"2004.04340","title":"Reciprocal Learning Networks for Human Trajectory Prediction","created":"2020-04-09","cited_by_count":30},{"id":"2107.14204","title":"Personalized Trajectory Prediction via Distribution Discrimination","created":"2021-07-29","cited_by_count":30},{"id":"2308.08824","title":"Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction","created":"2023-08-17","cited_by_count":27},{"id":"2203.12446","title":"SMEMO: Social Memory for Trajectory Forecasting","created":"2022-03-23","cited_by_count":26},{"id":"1808.04018","title":"Scene-LSTM: A Model for Human Trajectory Prediction","created":"2018-08-12","cited_by_count":25},{"id":"1709.08528","title":"A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments","created":"2017-09-25","cited_by_count":24},{"id":"2209.11820","title":"Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning","created":"2022-09-23","cited_by_count":23},{"id":"2008.00777","title":"Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction","created":"2020-08-03","cited_by_count":21},{"id":"2304.04298","title":"Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction","created":"2023-04-09","cited_by_count":17},{"id":"2205.13296","title":"Social Interpretable Tree for Pedestrian Trajectory Prediction","created":"2022-05-26","cited_by_count":16},{"id":"1705.09436","title":"Human Trajectory Prediction using Spatially aware Deep Attention Models","created":"2017-05-26","cited_by_count":12},{"id":"2209.05649","title":"Social-PatteRNN: Socially-Aware Trajectory Prediction Guided by Motion Patterns","created":"2022-09-12","cited_by_count":12},{"id":"2007.05719","title":"AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points","created":"2020-07-11","cited_by_count":6},{"id":"2305.08553","title":"Distilling Knowledge for Short-to-Long Term Trajectory Prediction","created":"2023-05-15","cited_by_count":5}],"next_cursor":null}