60 citations · 101 across the 5 of their papers we have counts for
5 papers
MOC-GAN: Mixing Objects and Captions to Generate Realistic Images
Tao Ma, Yikang Li
Generating images with conditional descriptions gains increasing interests in recent years. However, existing conditional inputs are suffering from either unstructured forms (capti…
Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
Tao Ma, Zhizheng Liu, Yikang Li
Sensor configuration, including the sensor selections and their installation locations, serves a crucial role in autonomous driving. A well-designed sensor configuration significan…
CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes
Tao Ma, Zhizheng Liu, Guohang Yan +1
For autonomous vehicles, an accurate calibration for LiDAR and camera is a prerequisite for multi-sensor perception systems. However, existing calibration techniques require either…
Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging
Yeqi Bai, Tao Ma, Lipo Wang +1
While deep learning technologies are now capable of generating realistic images confusing humans, the research efforts are turning to the synthesis of images for more concrete and…
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
Yikang Li, Tao Ma, Yeqi Bai +3
Despite some exciting progress on high-quality image generation from structured(scene graphs) or free-form(sentences) descriptions, most of them only guarantee the image-level sema…