ETH VIS Group

Visual Intelligence and Systems (VIS) Research Group at ETH Zürich, led by @DrFisherYu, latest projects at

[Fisher Yu @DrFisherYu]

We are at #CVPR2023 to present our research works. Please check our poster and talk schedule at https://t.co/Ulikz4sd0S. Feel free to come to say hi!

[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

[Fisher Yu @DrFisherYu]

ONLY 4 weeks until the submission deadline to BDD100K challenges at #CVPR2023! Time to show off your multi-object tracking (and seg) methods! The winners will get cash awards and a podium to present your work at one of the largest workshops at #CVPR! More: https://t.co/ooWqI8t0Fh

[Fisher Yu @DrFisherYu]

Segment Anything is fun and powerful but still requires full mask annotation for supervised training. Our new work MaskFreeVIS appearing at #CVPR2023 shows we can get accurate video instance segmentation WITHOUT any video or image mask annotations. More at https://t.co/PrzzPqBUFk

[Fisher Yu @DrFisherYu]

Cameras on self-driving cars can see in every direction. @sy2es93104 will present our new work CC-3DT for 3D object tracking on the panoramic views #CoRL2022. CC-3DT makes the gap between vision-only and lidar-based 3D object tracking much smaller. More at https://t.co/Rm1IyeVErK

[Fisher Yu @DrFisherYu]

As #ECCV2022 @eccvconf is happening this week, I hope you get a chance to enjoy the nice weather and beautiful beach at @TelAviv. This afternoon at local time, I will give an invited talk on 4D scene understanding for self-driving at AVVision Workshop (https://t.co/zkPtMjFvA5).

[Fisher Yu @DrFisherYu]

BDD100K challenges at ECCV 2022 are going on! Similar to CVPR 2022, our main challenges are on MOT and MOTS, but with much bigger prizes! Top winners will get $5000! We are also opening two teaser challenges to track without tracking labels. More @ https://t.co/NG2A6SxK8L

[Fisher Yu @DrFisherYu]

Uncertainty is critical for neural networks to guess what they don't know. Deterministic methods promise strong performance with negligible cost, or do they? We did a reality check. @JanisPostels will present our findings tomorrow at #ICML2022. more at https://t.co/jWOP4knnyg

[Fisher Yu @DrFisherYu]

The world is continuously changing, but the deep learning models have a hard time keeping up. We are presenting a synthetic dataset called SHIFT for continuous multi-task domain adaptation at #CVPR2022 on Fri pm at 257B. Poster, video, more at https://t.co/dXC4omwUIe

[Fisher Yu @DrFisherYu]

It is my great pleasure to announce a new release of Scalabel, an open-sourced software that provides a versatile and scalable annotation platform, supporting both 2D and 3D data labeling. Link: https://t.co/GcqhLNKMe4 🧵

[Fisher Yu @DrFisherYu]

Mask Transfiner, appearing @CVPR 2022, produces high-resolution instance segmentation with extreme details without high computation or memory cost. This is enabled by a new principal mechanism called Incoherent Region Prediction. More at https://t.co/PXAiZVuzYQ

[Fisher Yu @DrFisherYu]

Our BDD100K (https://t.co/1P07jTasjm) tracking challenges at CVPR 2022 are now live! We hope our challenges can lead to new advances in computer vision and new pragmatic algorithms on self-driving cars. Challenge details: https://t.co/0r6PRQBPi3

[Fisher Yu @DrFisherYu]

📢@leike_lk is presenting PCAN, Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation at NeurIPS 2021 as Spotlight. PCAN uses test-time prototypes to memorize instance appearance and achieve impressive seg tracking accuracy on YT and BDD100K. Links👇

[Fisher Yu @DrFisherYu]

📢📢📢Human pose annotation is available on BDD100K now! 14K frames and 27K persons are labeled with 18 joints for each person. We also released pre-trained models in the BDD100K model zoo. You can also test your model on our evaluation server. Links👇

[Fisher Yu @DrFisherYu]

In this @ICCV_2021 week, I will discuss how we can better solve the basic perception problems for autonomous driving in 3 workshops

AVVision Workshop (https://t.co/HKbs0CRVTk)

3D Object Detection from Images（https://t.co/ERTkW2pnFh)

ROAD Challenge (https://t.co/XDrRBTKJme)

[Fisher Yu @DrFisherYu]

📢 I am excited to announce that BDD100K model zoo is open for business! It contains more than 100 pre-trained models for various tasks. Each model also comes with results and visualization on val and test sets. You can also put your model in the zoo! 👉https://t.co/zz4YHF6YkD

[Fisher Yu @DrFisherYu]

Thanks to @alexliniger and @yuning_chai, the videos of the keynote talks at the Workshop on Autonomous Driving has been well organized on Youtube https://t.co/akQTCsEnSR

[Fisher Yu @DrFisherYu]

@pangjiangmiao did this great work when visiting us at UC Berkeley. We are all excited about the amazing results and method simplicity. You can hear more from us at 11:00 AM – 1:30 PM in New York time at @CVPR today! More at https://t.co/743Jbse8FJ

[Fisher Yu @DrFisherYu]

We are hosting Workshop on Autonomous Driving again this year @CVPR 2021. It features a list of amazing speakers as well as challenges on Waymo Open Dataset and Argoverse! Happening on June 20! https://t.co/OWS9hfCehm

[Fisher Yu @DrFisherYu]

Jinkun Cao will present his great work at #ICRA2021 today at 9pm GMT+1. He did this work while visiting me at UC Berkeley as an undergraduate student. It is definitely my pleasure to see that things went well and he is a Ph.D. student at CMU now.