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09/11/2023
Robot Parkour Learning
Parkour is a grand challenge for legged locomotion that requires robots ...
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02/01/2022
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks
3D object detection plays an important role in autonomous driving and ot...
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02/19/2021
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks
Molecular machine learning bears promise for efficient molecule property...
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12/17/2020
PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection
Visual data in autonomous driving perception, such as camera image and L...
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10/23/2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
Developing agents that can perform complex control tasks from high dimen...
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09/26/2020
SEMI: Self-supervised Exploration via Multisensory Incongruity
Efficient exploration is a long-standing problem in reinforcement learni...
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08/18/2020
Uncertainty-aware Self-supervised 3D Data Association
3D object trackers usually require training on large amounts of annotate...
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08/18/2020
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
3D multi-object tracking (MOT) is essential to applications such as auto...
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08/01/2020
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
We propose a simple, fast, and flexible framework to generate simultaneo...
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07/01/2020
Motion Prediction in Visual Object Tracking
Visual object tracking (VOT) is an essential component for many applicat...
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03/18/2020
Sequential Forecasting of 100,000 Points
Predicting the future is a crucial first step to effective control, sinc...
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03/18/2020
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
Predicting the future is a crucial first step to effective control, sinc...
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02/12/2020
AlignNet: A Unifying Approach to Audio-Visual Alignment
We present AlignNet, a model that synchronizes videos with reference aud...
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11/24/2019
Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion
In this paper, we consider the problem of detecting object under occlusi...
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10/21/2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Very deep convolutional neural networks (CNNs) have been firmly establis...
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04/05/2019