14 citations · 34 across the 12 of their papers we have counts for
12 papers
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Zheng Fang, Biao Zhao, Guizhong Liu
Many scenes in real life can be abstracted to the sparse reward visual scenes, where it is difficult for an agent to tackle the task under the condition of only accepting images an…
Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D
Jiaojiao Fang, Guizhong Liu
Self-supervised learning of depth and ego-motion from unlabeled monocular video has acquired promising results and drawn extensive attention. Most existing methods jointly train th…
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang, Guizhong Liu
Self-supervised deep learning-based 3D scene understanding methods can overcome the difficulty of acquiring the densely labeled ground-truth and have made a lot of advances. Howeve…
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li, Guizhong Liu
Metric learning is a widely used method for few shot learning in which the quality of prototypes plays a key role in the algorithm. In this paper we propose the trainable prototype…
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li, Guizhong Liu
Most previous few-shot learning algorithms are based on meta-training with fake few-shot tasks as training samples, where large labeled base classes are required. The trained model…
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers
Xinyu Huang, Lijun He, Xin Chen +2
In this paper, we propose a more refined video segment based Mobile Edge Computing (MEC) enhanced cache update strategy, which takes into account the client's playback status and t…
Hit Ratio Driven Mobile Edge Caching Scheme for Video on Demand Services
Xing Chen, Lijun He, Shang Xu +3
More and more scholars focus on mobile edge computing (MEC) technology, because the strong storage and computing capabilities of MEC servers can reduce the long transmission delay,…
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
Lingtao Zhou, Jiaojiao Fang, Guizhong Liu
Unsupervised learning based depth estimation methods have received more and more attention as they do not need vast quantities of densely labeled data for training which are touch…
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results
Jiaojiao Fang, Lingtao Zhou, Guizhong Liu
3D object detection is one of the most important tasks in 3D vision perceptual system of autonomous vehicles. In this paper, we propose a novel two stage 3D object detection method…
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
Han Wu, Xueyuan Yang, Yong Yang +1
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking. For a long sequence, the object is often fully occluded or out…
Multiple Object Tracking with Motion and Appearance Cues
Weiqiang Li, Jiatong Mu, Guizhong Liu
Due to better video quality and higher frame rate, the performance of multiple object tracking issues has been greatly improved in recent years. However, in real application scenar…
A Single-shot Object Detector with Feature Aggragation and Enhancement
Weiqiang Li, Guizhong Liu
For many real applications, it is equally important to detect objects accurately and quickly. In this paper, we propose an accurate and efficient single shot object detector with f…