activity
20192022
most citedVisual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

5 citations · 13 across the 6 of their papers we have counts for

collaborators

10 papers

cs.LG20222 cited

Molecular Joint Representation Learning via Multi-modal Information

Tianyu Wu, Yang Tang, Qiyu Sun +1

In recent years, artificial intelligence has played an important role on accelerating the whole process of drug discovery. Various of molecular representation schemes of different…

cs.CV2022

Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning

Wenqi Ren, Qiyu Sun, Chaoqiang Zhao +1

Learning-based image dehazing methods are essential to assist autonomous systems in enhancing reliability. Due to the domain gap between synthetic and real domains, the internal in…

cs.CV20225 cited

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

Wenqi Ren, Yang Tang, Qiyu Sun +2

Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a cr…

cs.RO20224 cited

Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning

Qiyu Sun, Jinbao Fang, Wei Xing Zheng +1

The ability to perform aggressive movements, which are called aggressive flights, is important for quadrotors during navigation. However, aggressive quadrotor flights are still a g…

cs.CV20221 cited

Learn to Adapt for Monocular Depth Estimation

Qiyu Sun, Gary G. Yen, Yang Tang +1

Monocular depth estimation is one of the fundamental tasks in environmental perception and has achieved tremendous progress in virtue of deep learning. However, the performance of…

cs.CV20201 cited

Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency

Chongzhen Zhang, Yang Tang, Chaoqiang Zhao +3

Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several works are…