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20192021
most citedTowards Playing Full MOBA Games with Deep Reinforcement Learning

42 citations · 55 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV20212 cited

Rethinking the Spatial Route Prior in Vision-and-Language Navigation

Xinzhe Zhou, Wei Liu, Yadong Mu

Vision-and-language navigation (VLN) is a trending topic which aims to navigate an intelligent agent to an expected position through natural language instructions. This work addres…

cs.CV20214 cited

Simple Distillation Baselines for Improving Small Self-supervised Models

Jindong Gu, Wei Liu, Yonglong Tian

While large self-supervised models have rivalled the performance of their supervised counterparts, small models still struggle. In this report, we explore simple baselines for impr…

cs.CV2021

Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds

Guiyu Tian, Wenhao Jiang, Wei Liu +1

This paper presents Poisoning MorphNet, the first backdoor attack method on point clouds. Conventional adversarial attack takes place in the inference stage, often fooling a model…

cs.CV2020

Face Super-Resolution Guided by 3D Facial Priors

Xiaobin Hu, Wenqi Ren, John LaMaster +5

State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local app…

cs.CV2019

Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer

Kun Cheng, Hao-Zhi Huang, Chun Yuan +2

Existing person video generation methods either lack the flexibility in controlling both the appearance and motion, or fail to preserve detailed appearance and temporal consistency…

cs.CV20193 cited

FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing

Sen-Zhe Xu, Hao-Zhi Huang, Shi-Min Hu +1

Existing methods for face image manipulation generally focus on editing the expression, changing some predefined attributes, or applying different filters. However, users lack the…