Christos Sakaridis

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

[Fisher Yu @DrFisherYu]

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: https://t.co/hQrJE3TzGT

[Christos Sakaridis @CSakaridis]

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
https://t.co/aIexQQGv4I
https://t.co/nknMAAIzaX

[Christos Sakaridis @CSakaridis]

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

Paper: https://t.co/Niygohzaew
Code: https://t.co/cLaz2moB70

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

My co-authors: Vaishakh Patil, @alexliniger, Luc Van Gool

[Martin Hahner @HahnerMartin]

I am happy to announce that the code for our @CVPR paper "LiDAR Snowfall Simulation for Robust 3D Object Detection" is now publicly available for non-commercial use: https://t.co/ME9ZjWA9O0
#LiDAR #snowfall #simulation

#oral: Friday, June 24th at 10:10 AM (CST) in Great Hall B-C

[Andreas Lugmayr @AndreasLugmayr]

CVPR 2022: Call for Workshop Paper

Sign up: https://t.co/4muRowrALX

[Christos Sakaridis @CSakaridis]

ACDC Challenge 2022 https://t.co/q01pit8xrD 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 https://t.co/szOGl7qKXU and it will run until Jun 3, 2022.

[Yu Wei Chen @_yuwei_chen]

Vision for All Seasons: Adverse Weather and Lighting Conditions

7th New Trends in Image Restoration and Enhancement Workshop and Challenges

Computer Vision for Fashion, Art, and Design

[Christos Sakaridis @CSakaridis]

Is there already a final decision on whether CVPR 2022 will be hybrid or virtual? @CVPR

[Christos Sakaridis @CSakaridis]

Has the NeurIPS 2022 paper submission deadline been announced or not yet?

[Christos Sakaridis @CSakaridis]

Poster sessions for "Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather": Wed. Oct. 13th, 7:00 PM EDT / Thu. Oct. 14th 1:00 AM CEST / 7:00 AM CST + Fri. Oct. 15th, 12:00 PM EDT / 6:00 PM CEST / Sat. Oct. 16th, 12:00 AM CST

[Christos Sakaridis @CSakaridis]

You are welcome to visit our posters at #ICCV2021 !

[Christos Sakaridis @CSakaridis]

Poster sessions for "ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding": Wed. Oct. 13th, 9:00 AM EDT / 3:00 PM CEST / 9:00 PM CST + Fri. Oct. 15th, 5:00 PM EDT / 11:00 PM CEST / Sat. Oct. 16th, 5:00 AM CST

[Christos Sakaridis @CSakaridis]

2 papers accepted to #ICCV2021!
Paper 1: ACDC dataset, with Dengxin Dai and Luc Van Gool. See also: https://t.co/AKDEgpHVHg
Paper 2: Fog simulation for LiDAR-based 3D object detection, with Martin Hahner, Dengxin Dai and Luc Van Gool.

[Anton Obukhov @AntonObukhov1]

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]

I am happy to give a talk about our new ACDC dataset in the #IV2021 workshop on Autonomy@Scale on July 11. https://t.co/sITvY3IMW1

[ICCV2021 @ICCV_2021]

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.

[Computer Vision Lab Zurich @CVL_ETH]

Glad to share one of the accepted papers at CVPR2021:
- Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation - https://t.co/KvVXBo0Eot
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

[Christos Sakaridis @CSakaridis]

@AntonObukhov1 Thanks Anton!

[Christos Sakaridis @CSakaridis]

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 https://t.co/AKDEgpHVHg #computervision #autonomouscars