Top Tweets for #ICIP2020
#ICIP2020 paper on using Ensemble Learning to augment Anomaly Detection model for Surveillance Videos.
https://t.co/ueivUkaGTO
Read our interview with Ionut Schoipu (@VUBrussel) about work carried out with Adrian Munteanu that earned them a @ieeeICIP top viewed paper award. #ICIP2020
Interview with Ionut Schiopu – ICIP 2020 award winner - https://t.co/FBLic3kzWS
On top of 3 accepted student papers in #ICIP2020, I'm grateful to be selected from among the top 22 reviewers for the Best Reviewer Award in its inaugural round. Of course, many thanks to @GhassanAlRegib and his team who have put up a tremendous effort in…https://t.co/EfBgB9Bfpd
You can still watch our paper "NoR-VDPNet: A No-Reference High Dynamic Range Quality Metric Trained on HDR-VDP 2" at the virtual #ICIP2020 day 27th at 5:30 pm SMR-05 session "Perception and Quality Models for Images & Video" Enjoy!
You can continue browsing the #ICIP2020 papers freely through Open Preview on IEEE Xplore until October 29. https://t.co/cqlToYOuwl
Proud to announce that our work on unpaired image-to-image shape translation was selected as finalist (top 0.3%) at #ICIP2020. Congratulations to Kaili and Liqian, the main driving forces behind this effort. #UAntwerpen @IDLabResearch
Our paper on unpaired shape translation for fashion data just got accepted at #icip2020 congrats to Kaili and Liqian. @IDLabResearch @ieeeICIP. Pre-print coming soon
The #ICIP2020 virtual platform will remain open until November 30, 2020. Visit this resource to view recordings of sessions from the event: https://t.co/B0FIaku40h
On behalf of the 2020 IEEE International Conference on Image Processing, we thank you for taking the time to participate in #ICIP2020! We brought together more than 7,400 participants online to learn and network with one another even though we could not meet in person.
Excited to share our second #ICIP2020 paper!
WISE-Net is a method that only requires point-level annotations to learn to do instance segmentation efficiently.
Paper: https://t.co/6aTgLx2v5M
Code: https://t.co/eRD2Tw84e7
Cast-GAN: Learning to remove colour cast from underwater images" #ICIP2020
Chau Yi Li and Andrea Cavallaro
Handling #underwater image degradations with synthetic images
https://t.co/Vnyo61WM3p
#AI #MachineLearning
@ieeeICIP @smartcameras @QMEECS
Today our latest work in person re-identification “Multi Branch Siamese Network For Person Re-Identification” by Asad Munir @iN1k1 @MicheloniC is presented at #ICIP2020 @ieeeICIP
Here is a very brief overview of the presentation I'm about to give at #ICIP2020 regarding our paper "Real-Time Semantic Background Subtraction".
▶️For the full presentation video, follow this link: https://t.co/dckwmHMLit
#DeepLearning #AI #Research
Today we @deepcamera
are presenting our paper "NoR-VDPNet: A No-Reference High Dynamic Range Quality Metric Trained on HDR-VDP 2" at the virtual #ICIP2020 at 5:30 PM UTC+4 SMR-05 session "Perception and Quality Models for Images & Video" Enjoy!
Today we @deepcamera
are presenting our paper "NoR-VDPNet: A No-Reference High Dynamic Range Quality Metric Trained on HDR-VDP 2" at the virtual #ICIP2020 at 5:30 PM UTC+4 SMR-05 session "Perception and Quality Models for Images & Video" Enjoy!
Our paper on unpaired image-to-image shape translation is currently being presented at #ICIP2020 Feel free to pass by in case you would like to know more about it or have any question https://t.co/3XShHzMQKP
#ICIP2020 just started! Feel free to swing by our Q&A session of our paper "Always Look on the Bright Side of the Field" (Image & Video Mid-Level Analysis) on Wednesday at 8:00 (UTC+4). Despite being 5 AM in Barcelona, we will gently address your queries!
Our IEEE ICIP paper (https://t.co/40JuZqNn7n) is available. I will attend live session soon!
#ICIP2020
Chroma Intra Prediction with attention-based CNN architectures? Take a look at our paper that we present today at #ICIP2020. @BBCRD @insight_centre @JOLT_EU @MSCActions @EU_H2020
https://t.co/eE77csGlbL
The #ICIP2020 virtual conference is powered by leading companies
who have continued to show their support for our technical community.
We'd like to thank Facebook for their Diamond patronage! Learn more about them and their contributions to technology: https://t.co/Z3udp1mGEj
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