Asanka Perera

Postdoc @UNSWCanberra. Robotics and Computer Vision.

[AK @_akhaliq]

PlanT: Explainable Planning Transformers via Object-Level Representations
abs: https://t.co/CXDU7Wuq0N
project page: https://t.co/K6JOp6cVEc

[Asanka Perera @g_a_perera]

We are organizing a special issue "Computer Vision and Image Processing in Remote Sensing" with @RemoteSens_MDPI. Deadline 30 June 2023. https://t.co/MASCkYaH4V #computervision #imageprocessing #searchandrescue #roboticvision #phenotyping

[Asanka Perera @g_a_perera]

Multi-robot exploration with Jackal UGVs.

[Vikez @Vikezmedia]

To further contain the Coronavirus pandemic, drones that can detect fevers and coughing will soon take to the sky! #coronavirus #COVID19 #tech #ArtificialIntelligence #drones #AI #ML #innovation #pandemic #video #drone #publichealth #healthtech #startups

[AK @_akhaliq]

Controllable Person Image Synthesis with Attribute-Decomposed GAN
pdf: https://t.co/UQaKHhGTjL
abs: https://t.co/hdPwcpDwDx
project page: https://t.co/dG9SauT7EB

[AI at Meta @AIatMeta]

We have created a new AI-powered tool that can turn virtually any standard 2D picture into a 3D image.

Learn how it works here: https://t.co/CdYZhmjk0K

[Asanka Perera @g_a_perera]

#mdpidrones Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition https://t.co/wbkJJCHpqZ @MDPIOpenAccess @Drones_MDPI

[Remote Sensing MDPI @RemoteSens_MDPI]

#LifeSigns Detector Using a #Drone in #DisasterZones
by Ali Al-Naji, Asanka G. Perera, Saleem Latteef Mohammed and Javaan Chahl
👉https://t.co/uUrpWoe5mE
#UAV
#UAS
#remotesensing

[Asanka Perera @g_a_perera]

Our recent work on Alive/Deceased people detection from drone. #mdpiremotesensing Life Signs Detector Using a Drone in Disaster Zones https://t.co/3aM465QiKL
@RemoteSens_MDPI

[Asanka Perera @g_a_perera]

@PyImageSearch Awesome, thanks Adrian 👍

[PyImageSearch @PyImageSearch]

New tutorial!🚀

Learn how to perform Human Activity Recognition with #OpenCV and #DeepLearning:

- Recognize 400+ activities
- 94.5% accurate
- Includes #Python source code & pre-trained model

https://t.co/gpjtKanowT 👍

#MachineLearning #ArtificialIntelligence #DataScience #AI

[Sanja Fidler @FidlerSanja]

If you're interested in optical flow, check out Creative Flow+, a large-scale multi-style artistic video dataset (densely labeled with GT)! Awesome job by Masha Shugrina! @arttoolmaker Ziheng Liang @amlankar95 Jiaman Li, Angad Singh, Karan Singh
Webpage: https://t.co/gPxvaroI1J

[PyImageSearch @PyImageSearch]

I just published my (free) 81-page guide on learning #ComputerVision, #DeepLearning, and #OpenCV! 🚀🔥
Includes step-by-step instructions on:
- Getting Started
- Face Applications
- Object Detection
- OCR
- Embedded/IoT
- ...and more!
Check it out here: https://t.co/g1I2TyeBSI 👍

[Jonathan Fly 👾 @jonathanfly]

SPIN: "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

The paper so hot that my first Tweet with their sample video was flagged as NSFW by Twitter's algorithm. Really. New 'censored' version:

https://t.co/PZ8sLOL13l
pdf: https://t.co/2l02lDmixR

[AK @_akhaliq]

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
pdf: https://t.co/QrFV468aEu
abs: https://t.co/38Rs2DHyrd
project page: https://t.co/wePzBdq3Sh
github: https://t.co/ku1Bi7oC0W

[Michael Black @Michael_J_Black]

Want to train deep networks to model 3D human pose and motion? AMASS is a new dataset with 45 hours of mocap - and growing – all in SMPL format. Tutorial code shows how to use AMASS for deep learning. To appear: #ICCV2019 data: https://t.co/FnHeQhM3C9

[Visual Geometry Group (VGG) @Oxford_VGG]

(1/4) Meet VGGers @bmvc2019!

1. Self-supervised Video Representation Learning for Correspondence Flow, @LaiZihang, @WeidiXie
Poster: Session 1 #83 (Tuesday 14:00-16:15)
Oral: Video Analysis (Thursday 13:00-13:15)
Page: https://t.co/510TWeeiZ4

[Rudy Agovic @rudyagovic]

Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model
#ArtificialIntelligence #MachineLearning #DataScience
https://t.co/ldsedahBXw

[Rudy Agovic @rudyagovic]

Unsupervised Machine Learning Approaches for Outlier Detection in Time Series, using Python
#ArtificialIntelligence #MachineLearning #DataScience
https://t.co/Z9fSx1AKhz

[Rudy Agovic @rudyagovic]

A 2019 Guide to Human Pose Estimation
#ArtificialIntelligence #MachineLearning #DataScience
https://t.co/ZyS4OVajsH