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05/10/2023
Self-Supervised Instance Segmentation by Grasping
Instance segmentation is a fundamental skill for many robotic applicatio...
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05/03/2023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
Object recognition and instance segmentation are fundamental skills in a...
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04/21/2023
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving
Predicting accurate depth with monocular images is important for low-cos...
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02/28/2023
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal Images
We present an effective method for the matching of multimodal images. Ac...
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12/11/2022
Random Feature Models for Learning Interacting Dynamical Systems
Particle dynamics and multi-agent systems provide accurate dynamical mod...
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10/13/2022
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
3D bounding boxes are a widespread intermediate representation in many c...
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09/21/2022
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
The graph structure of road networks is critical for downstream tasks of...
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09/16/2022
CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation
With the rapid development of autonomous vehicles, there witnesses a boo...
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08/23/2022
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion
In the presence of unmeasured confounders, we address the problem of tre...
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07/20/2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Machine learning models fail to perform well on real-world applications ...
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03/11/2022
Integrating Dependency Tree Into Self-attention for Sentence Representation
Recent progress on parse tree encoder for sentence representation learni...
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02/16/2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
Road network graphs provide critical information for autonomous vehicle ...
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01/24/2022
DuVisor: a User-level Hypervisor Through Delegated Virtualization
Today's mainstream virtualization systems comprise of two cooperative co...
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11/11/2021
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
High-Definition (HD) maps can provide precise geometric and semantic inf...
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11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
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03/17/2021
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Object detection in 3D with stereo cameras is an important problem in co...
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02/01/2021
Ground-aware Monocular 3D Object Detection for Autonomous Driving
Estimating the 3D position and orientation of objects in the environment...
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08/21/2020
ATG-PVD: Ticketing Parking Violations on A Drone
In this paper, we introduce a novel suspect-and-investigate framework, w...
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03/30/2020
Difference Attention Based Error Correction LSTM Model for Time Series Prediction
In this paper, we propose a novel model for time series prediction in wh...
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12/10/2018
Learning to Drive from Simulation without Real World Labels
Simulation can be a powerful tool for understanding machine learning sys...
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06/07/2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
In this work, we take a representation learning perspective on hierarchi...
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02/20/2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Exploration is a fundamental challenge in reinforcement learning (RL). M...
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07/11/2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
Imitation learning is an effective approach for autonomous systems to ac...
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09/11/2014
