Ali Athar

In our CVPR'25 paper, we introduced the ViCaS dataset which contains 20,000+ videos with both detailed video captions, as well as pixel-precise masks for selected objects with phrase-grounding (1/4)

Successfully defended my PhD at the @RWTHVisionLab! I'm thankful to my supervisor, colleagues, family members and to God for this incredible 5-year experience! Aside from the professional/research experience, I'll cherish the personal bonds I made here for a long time to come.

The poster for our #CoRL2023 paper on Lidar 4D panoptic segmentation will be up on Thursday (Nov 9) at 4:15pm! We propose a cool new multimodal approach for Lidar segmentation + tracking that leverages both Lidar scan and camera image data.
Website: waabi.ai/4d-former/

I arrived to put up my @CVPR publication poster and saw that the poster from the previous session was still there. I was slightly annoyed but then I read this note pasted on the side and immediately felt guilty and sad.

💥 I'm pleased to announce our @CVPR Highlight paper: "TarViS: A Unified Approach for Target-based Video Segmentation".

💥TL;DR: We developed a single, jointly trained model that can tackle multiple video segmentation tasks e.g. VOS, VIS, VPS and achieve SOTA performance.