| DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving | Sep 15, 2024 | Autonomous DrivingBench2Drive | CodeCode Available | 1 |
| Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models | Jul 28, 2024 | Motion Forecastingmotion prediction | CodeCode Available | 1 |
| Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction | Jul 16, 2024 | DiversityHuman motion prediction | CodeCode Available | 1 |
| ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video | Jul 13, 2024 | Autonomous DrivingMotion Estimation | CodeCode Available | 1 |
| FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving | Apr 19, 2024 | Autonomous DrivingInstance Segmentation | CodeCode Available | 1 |
| PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving | Apr 2, 2024 | motion prediction | CodeCode Available | 1 |
| Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations | Mar 20, 2024 | Autonomous Drivingmotion prediction | CodeCode Available | 1 |
| Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving | Mar 17, 2024 | Autonomous DrivingMotion Forecasting | CodeCode Available | 1 |
| Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting | Feb 21, 2024 | Autonomous DrivingHuman motion prediction | CodeCode Available | 1 |
| GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction | Dec 19, 2023 | Human motion predictionHuman Pose Forecasting | CodeCode Available | 1 |
