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Chong Huang

6 accepted papers

2022

Learning Prototype via Placeholder for Zero-shot Recognition

IJCAI 2022poster

Zero-shot learning (ZSL) aims to recognize unseen classes by exploiting semantic descriptions shared between seen classes and unseen classes. Current methods show that it is effective to learn visual-semantic alignment by projecting semantic embeddings into the visual space as class prototypes. Ho…

2019

Learning to Capture a Film-Look Video with a Camera Drone

ICRA 2019poster

The development of intelligent drones has simplified aerial filming and provided smarter assistant tools for users to capture a film-look footage. Existing methods of autonomous aerial filming either specify predefined camera movements for a drone to capture a footage, or employ heuristic approaches…

Cited by 47SourceScholar
2019

Learning to Film From Professional Human Motion Videos

CVPR 2019poster

We investigate the problem of 6 degrees of freedom (DOF) camera planning for filming professional human motion videos using a camera drone. Existing methods either plan motions for only a pan-tilt-zoom (PTZ) camera, or adopt ad-hoc solutions without carefully considering the impact of video content…

Cited by 41PDFScholar
2018

ACT: An Autonomous Drone Cinematography System for Action Scenes

ICRA 2018poster

Drones are enabling new forms of cinematography. Aerial filming via drones in action scenes is difficult because it requires users to understand the dynamic scenarios and operate the drone and camera simultaneously. Existing systems allow the user to manually specify the shots and guide the drone to…

Cited by 97SourceScholar
2017

REDBEE: A visual-inertial drone system for real-time moving object detection

IROS 2017poster

Aerial surveillance and monitoring demand both real-time and robust motion detection from a moving camera. Most existing techniques for drones involve sending a video data streams back to a ground station with a high-end desktop computer or server. These methods share one major drawback: data transm…

Cited by 29SourceScholar