Christos Sakaridis (@csakaridis) 's Twitter Profile
Christos Sakaridis

@csakaridis

Lecturer & Senior postdoc at Computer Vision Lab, ETH Zürich | Dr. Sciences ETH Zürich in Electrical Engineering and IT | MSc in Computer Science, ETH Zürich

ID: 1388104462728892420

calendar_today30-04-2021 12:14:39

19 Tweet

133 Followers

23 Following

Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

ACDC released: a new large-scale driving dataset for training and testing semantic segmentation algorithms on adverse visual conditions, such as fog, nighttime, rain, and snow. The dataset and benchmarks are available at acdc.vision.ee.ethz.ch #computervision #autonomouscars

ACDC released: a new large-scale driving dataset for training and testing semantic segmentation algorithms on adverse visual conditions, such as fog, nighttime, rain, and snow. The dataset and benchmarks are available at acdc.vision.ee.ethz.ch #computervision #autonomouscars
Computer Vision Lab Zurich (@cvl_eth) 's Twitter Profile Photo

Glad to share one of the accepted papers at CVPR2021: - Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation - arxiv.org/pdf/2105.07830… Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

Glad to share one of the accepted papers at CVPR2021:
- Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation - arxiv.org/pdf/2105.07830…
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
ICCV2021 (@iccv_2021) 's Twitter Profile Photo

PCs update: Thanks for your patience. 99.8% of all papers have 3 reviews completed. We have 10 papers still to chase today. We will release of the reviews **around 17:00 PST**, so please don't keep refreshing CMT until then. We'll announce on Twitter as promised.

Anton Obukhov (@antonobukhov1) 's Twitter Profile Photo

I will present our latest #AISTATS work about sparse and stable CNN parameterizations (pinned) in the sparsity workshop today in 4 hrs #SNN21

Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

I am happy to give a talk about our new ACDC dataset in the #IV2021 workshop on Autonomy@Scale on July 11. ki-deltalearning.de/event?tx_news_…

Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

2 papers accepted to #ICCV2021! Paper 1: ACDC dataset, with Dengxin Dai and Luc Van Gool. See also: acdc.vision.ee.ethz.ch Paper 2: Fog simulation for LiDAR-based 3D object detection, with Martin Hahner, Dengxin Dai and Luc Van Gool.

Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

ACDC Challenge 2022 acdc.vision.ee.ethz.ch/news#challenge… on semantic segmentation in adverse conditions is up! The challenge is held together with the CVPR'22 workshop Vision for All Seasons, it is based on the public ACDC benchmarks acdc.vision.ee.ethz.ch/benchmarks and it will run until Jun 3, 2022.

Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

Check out our #CVPR2022 paper "P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior". Paper: openaccess.thecvf.com/content/CVPR20… Code: github.com/SysCV/P3Depth Poster @ CVPR: 21/6, 10:00AM - 12:30PM (CST), Halls B2-C My co-authors: Vaishakh Patil, Alex Liniger, Luc Van Gool

Check out our #CVPR2022 paper
"P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior".

Paper: openaccess.thecvf.com/content/CVPR20…
Code: github.com/SysCV/P3Depth

Poster @ CVPR: 21/6, 10:00AM - 12:30PM (CST), Halls B2-C

My co-authors: Vaishakh Patil, <a href="/alexliniger/">Alex Liniger</a>, Luc Van Gool
Christos Sakaridis (@csakaridis) 's Twitter Profile Photo

I am pleased to give a talk at the #ICLR2023 Scene Representations for Autonomous Driving Workshop on "Optimizing internal network representations for geometric and semantic perception" and present our latest works in this direction iclr.cc/virtual/2023/w… live.bilibili.com/27720575

I am pleased to give a talk at the #ICLR2023 Scene Representations for Autonomous Driving Workshop on "Optimizing internal network representations for geometric and semantic perception" and present our latest works in this direction
iclr.cc/virtual/2023/w…
live.bilibili.com/27720575
Fisher Yu (@drfisheryu) 's Twitter Profile Photo

Monocular depth estimation is “impossible” because one image can’t measure depth geometrically. Our iDisc #CVPR2023 can group pixels w/o supervision and learn depth inductive bias on groups. We get LiDAR-like (but denser) depth from single images! More: vis.xyz/pub/idisc