{"list":"other","total":56,"rows":[{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1506.02142","title":"Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning","created":"2015-06-06","cited_by_count":4448},{"id":"1612.01474","title":"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles","created":"2016-12-05","cited_by_count":3926},{"id":"1610.02136","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","created":"2016-10-07","cited_by_count":2385},{"id":"1703.04977","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","created":"2017-03-15","cited_by_count":2352},{"id":"1807.03888","title":"A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks","created":"2018-07-10","cited_by_count":1485},{"id":"1706.02690","title":"Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks","created":"2017-06-08","cited_by_count":1328},{"id":"2010.03759","title":"Energy-based Out-of-distribution Detection","created":"2020-10-08","cited_by_count":1299},{"id":"2112.08654","title":"Learning to Prompt for Continual Learning","created":"2021-12-16","cited_by_count":944},{"id":"2204.06507","title":"Out-of-Distribution Detection with Deep Nearest Neighbors","created":"2022-04-13","cited_by_count":600},{"id":"1711.09325","title":"Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples","created":"2017-11-26","cited_by_count":389},{"id":"1704.04394","title":"DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents","created":"2017-04-14","cited_by_count":310},{"id":"1809.10732","title":"Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks","created":"2018-09-18","cited_by_count":289},{"id":"1911.10298","title":"CoverNet: Multimodal Behavior Prediction using Trajectory Sets","created":"2019-11-23","cited_by_count":259},{"id":"1511.05298","title":"Structural-RNN: Deep Learning on Spatio-Temporal Graphs","created":"2015-11-17","cited_by_count":234},{"id":"1805.06771","title":"Convolutional Social Pooling for Vehicle Trajectory Prediction","created":"2018-05-15","cited_by_count":221},{"id":"2106.09022","title":"A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection","created":"2021-06-16","cited_by_count":207},{"id":"2006.14911","title":"Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?","created":"2020-06-26","cited_by_count":139},{"id":"2011.10671","title":"A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving","created":"2020-11-20","cited_by_count":115},{"id":"1811.02146","title":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents","created":"2018-11-06","cited_by_count":111},{"id":"2210.14707","title":"Is Out-of-Distribution Detection Learnable?","created":"2022-10-26","cited_by_count":109},{"id":"2107.07455","title":"Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks","created":"2021-07-15","cited_by_count":101},{"id":"1701.06699","title":"Imitating Driver Behavior with Generative Adversarial Networks","created":"2017-01-24","cited_by_count":93},{"id":"2201.05057","title":"On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles","created":"2022-01-13","cited_by_count":90},{"id":"1812.04767","title":"TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions","created":"2018-12-12","cited_by_count":82},{"id":"1801.07962","title":"An LSTM Network for Highway Trajectory Prediction","created":"2018-01-24","cited_by_count":81},{"id":"2302.13425","title":"A Survey on Uncertainty Quantification Methods for Deep Learning","created":"2023-02-26","cited_by_count":81},{"id":"1805.05499","title":"Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs","created":"2018-05-15","cited_by_count":77},{"id":"1905.01631","title":"Conditional Generative Neural System for Probabilistic Trajectory Prediction","created":"2019-05-05","cited_by_count":76},{"id":"1907.07792","title":"GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving","created":"2019-07-17","cited_by_count":73},{"id":"2001.00735","title":"Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans","created":"2020-01-03","cited_by_count":72},{"id":"1903.03838","title":"BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors","created":"2019-03-09","cited_by_count":68},{"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":"2302.13933","title":"LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints","created":"2023-02-27","cited_by_count":53},{"id":"2007.14189","title":"TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning","created":"2020-07-28","cited_by_count":47},{"id":"1801.06523","title":"How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction","created":"2018-01-19","cited_by_count":46},{"id":"2404.06351","title":"HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention","created":"2024-04-09","cited_by_count":38},{"id":"1912.01118","title":"Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs","created":"2019-12-02","cited_by_count":34},{"id":"2101.02486","title":"Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks","created":"2021-01-07","cited_by_count":32},{"id":"2109.05554","title":"No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets","created":"2021-09-12","cited_by_count":31},{"id":"1901.05105","title":"Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections","created":"2019-01-16","cited_by_count":26},{"id":"2110.03270","title":"Injecting Planning-Awareness into Prediction and Detection Evaluation","created":"2021-10-07","cited_by_count":21},{"id":"2010.15891","title":"Multi-agent Trajectory Prediction with Fuzzy Query Attention","created":"2020-10-29","cited_by_count":16},{"id":"2110.07922","title":"Anomaly Detection in Multi-Agent Trajectories for Automated Driving","created":"2021-10-15","cited_by_count":15},{"id":"2107.04982","title":"Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results","created":"2021-07-11","cited_by_count":14},{"id":"2405.14384","title":"Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models","created":"2024-05-23","cited_by_count":13},{"id":"2004.03842","title":"Multi-Head Attention based Probabilistic Vehicle Trajectory Prediction","created":"2020-04-08","cited_by_count":12},{"id":"2308.01707","title":"Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction","created":"2023-08-03","cited_by_count":10},{"id":"2303.04340","title":"Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles","created":"2023-03-08","cited_by_count":4},{"id":"1804.00495","title":"Transferable Pedestrian Motion Prediction Models at Intersections","created":"2018-03-15","cited_by_count":3},{"id":"2103.16673","title":"A Kinematic Model for Trajectory Prediction in General Highway Scenarios","created":"2021-03-30","cited_by_count":3},{"id":"2112.08355","title":"Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset","created":"2021-12-15","cited_by_count":3},{"id":"2202.13023","title":"Quickest Change Detection in Anonymous Heterogeneous Sensor Networks","created":"2022-02-26","cited_by_count":3},{"id":"2007.13281","title":"The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China","created":"2020-07-27","cited_by_count":2},{"id":"2311.15128","title":"Quickest Change Detection with Post-Change Density Estimation","created":"2023-11-25","cited_by_count":1},{"id":"2403.06993","title":"Automatic driving lane change safety prediction model based on LSTM","created":"2024-02-28","cited_by_count":1}],"next_cursor":null}