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07/04/2023
Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction
Relation-aware subgraph embedding is promising for predicting multi-rela...
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06/30/2023
Landmark Guided Active Exploration with Stable Low-level Policy Learning
Goal-conditioned hierarchical reinforcement learning (GCHRL) decomposes ...
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05/19/2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Many scenes in real life can be abstracted to the sparse reward visual s...
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08/09/2021
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Self-supervised deep learning-based 3D scene understanding methods can o...
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08/04/2021
Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D
Self-supervised learning of depth and ego-motion from unlabeled monocula...
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06/21/2021
Trainable Class Prototypes for Few-Shot Learning
Metric learning is a widely used method for few shot learning in which t...
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05/28/2021
SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily
The performances of GNNs for representation learning on the graph-struct...
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03/14/2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Heterogeneous graph is a kind of data structure widely existing in real ...
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08/23/2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Most previous few-shot learning algorithms are based on meta-training wi...
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11/25/2019
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers
In this paper, we propose a more refined video segment based Mobile Edge...
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09/09/2019
Hit Ratio Driven Mobile Edge Caching Scheme for Video on Demand Services
More and more scholars focus on mobile edge computing (MEC) technology, ...
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09/03/2019
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
Unsupervised learning based depth estimation methods have received more ...
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09/01/2019
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results
3D object detection is one of the most important tasks in 3D vision perc...
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09/01/2019
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
Object tracking has been studied for decades, but most of the existing w...
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09/01/2019
Multiple Object Tracking with Motion and Appearance Cues
Due to better video quality and higher frame rate, the performance of mu...
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02/08/2019