Sophia Sirko-Galouchenko 🇺🇦
@ssirko.bsky.social
PhD student in visual representation learning at Valeo.ai and Sorbonne Université (MLIA)
Pinned
1/n 🚀New paper out - accepted at #ICCV2025!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Yesterday was PhD defense day for @paulcouairon.bsky.social at @mlia-isir.bsky.social 🎓
His thesis focused on structured visual representations:
• VidEdit - zero-shot text-to-video editing
• DiffCut - zero-shot segmentation via diffusion features
• JAFAR - high-res visual representation upsampling
His thesis focused on structured visual representations:
• VidEdit - zero-shot text-to-video editing
• DiffCut - zero-shot segmentation via diffusion features
• JAFAR - high-res visual representation upsampling
November 5, 2025 at 6:42 PM
Yesterday was PhD defense day for @paulcouairon.bsky.social at @mlia-isir.bsky.social 🎓
His thesis focused on structured visual representations:
• VidEdit - zero-shot text-to-video editing
• DiffCut - zero-shot segmentation via diffusion features
• JAFAR - high-res visual representation upsampling
His thesis focused on structured visual representations:
• VidEdit - zero-shot text-to-video editing
• DiffCut - zero-shot segmentation via diffusion features
• JAFAR - high-res visual representation upsampling
Thrilled to present DIP at #ICCV2025! Great discussions and insightful questions during the poster session. Thank you to everyone who stopped by!
October 24, 2025 at 1:46 AM
Thrilled to present DIP at #ICCV2025! Great discussions and insightful questions during the poster session. Thank you to everyone who stopped by!
Come say hi to our poster October 21st at 11:45 poster session 1 (#399)! We introduce unsupervised post-training of ViTs that enhances dense features for in-context tasks.
First conference as a PhD student, really excited to meet new people.
First conference as a PhD student, really excited to meet new people.
1/n 🚀New paper out - accepted at #ICCV2025!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
October 18, 2025 at 7:22 PM
Come say hi to our poster October 21st at 11:45 poster session 1 (#399)! We introduce unsupervised post-training of ViTs that enhances dense features for in-context tasks.
First conference as a PhD student, really excited to meet new people.
First conference as a PhD student, really excited to meet new people.
Reposted by Sophia Sirko-Galouchenko 🇺🇦
Our recent research will be presented at @iccv.bsky.social! #ICCV2025
We’ll present 5 papers about:
💡 self-supervised & representation learning
🌍 3D occupancy & multi-sensor perception
🧩 open-vocabulary segmentation
🧠 multimodal LLMs & explainability
valeoai.github.io/posts/iccv-2...
We’ll present 5 papers about:
💡 self-supervised & representation learning
🌍 3D occupancy & multi-sensor perception
🧩 open-vocabulary segmentation
🧠 multimodal LLMs & explainability
valeoai.github.io/posts/iccv-2...
October 17, 2025 at 10:10 PM
Our recent research will be presented at @iccv.bsky.social! #ICCV2025
We’ll present 5 papers about:
💡 self-supervised & representation learning
🌍 3D occupancy & multi-sensor perception
🧩 open-vocabulary segmentation
🧠 multimodal LLMs & explainability
valeoai.github.io/posts/iccv-2...
We’ll present 5 papers about:
💡 self-supervised & representation learning
🌍 3D occupancy & multi-sensor perception
🧩 open-vocabulary segmentation
🧠 multimodal LLMs & explainability
valeoai.github.io/posts/iccv-2...
Reposted by Sophia Sirko-Galouchenko 🇺🇦
Another great event for @valeoai.bsky.social team: a PhD defense of Corentin Sautier.
His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).
His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).
October 7, 2025 at 12:29 PM
Another great event for @valeoai.bsky.social team: a PhD defense of Corentin Sautier.
His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).
His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).
Reposted by Sophia Sirko-Galouchenko 🇺🇦
So excited to attend the PhD defense of @bjoernmichele.bsky.social at @valeoai.bsky.social! He’s presenting his research results of the last 3 years in 3D domain adaptation: SALUDA (unsupervised DA), MuDDoS (multimodal UDA), TTYD (source-free UDA).
October 6, 2025 at 12:18 PM
So excited to attend the PhD defense of @bjoernmichele.bsky.social at @valeoai.bsky.social! He’s presenting his research results of the last 3 years in 3D domain adaptation: SALUDA (unsupervised DA), MuDDoS (multimodal UDA), TTYD (source-free UDA).
1/n 🚀New paper out - accepted at #ICCV2025!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
June 25, 2025 at 7:21 PM
1/n 🚀New paper out - accepted at #ICCV2025!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Introducing DIP: unsupervised post-training that enhances dense features in pretrained ViTs for dense in-context scene understanding
Below: Low-shot in-context semantic segmentation examples. DIP features outperform DINOv2!
Reposted by Sophia Sirko-Galouchenko 🇺🇦
🚀Thrilled to introduce JAFAR—a lightweight, flexible, plug-and-play module that upsamples features from any Foundation Vision Encoder to any desired output resolution (1/n)
Paper : arxiv.org/abs/2506.11136
Project Page: jafar-upsampler.github.io
Github: github.com/PaulCouairon...
Paper : arxiv.org/abs/2506.11136
Project Page: jafar-upsampler.github.io
Github: github.com/PaulCouairon...
June 16, 2025 at 1:59 PM
🚀Thrilled to introduce JAFAR—a lightweight, flexible, plug-and-play module that upsamples features from any Foundation Vision Encoder to any desired output resolution (1/n)
Paper : arxiv.org/abs/2506.11136
Project Page: jafar-upsampler.github.io
Github: github.com/PaulCouairon...
Paper : arxiv.org/abs/2506.11136
Project Page: jafar-upsampler.github.io
Github: github.com/PaulCouairon...
Reposted by Sophia Sirko-Galouchenko 🇺🇦
Our paper "LiDPM: Rethinking Point Diffusion for Lidar Scene Completion" got accepted to IEEE IV 2025!
tldr: LiDPM enables high-quality LiDAR completion by applying a vanilla DDPM with tailored initialization, avoiding local diffusion approximations.
Project page: astra-vision.github.io/LiDPM/
tldr: LiDPM enables high-quality LiDAR completion by applying a vanilla DDPM with tailored initialization, avoiding local diffusion approximations.
Project page: astra-vision.github.io/LiDPM/
April 28, 2025 at 10:18 AM
Our paper "LiDPM: Rethinking Point Diffusion for Lidar Scene Completion" got accepted to IEEE IV 2025!
tldr: LiDPM enables high-quality LiDAR completion by applying a vanilla DDPM with tailored initialization, avoiding local diffusion approximations.
Project page: astra-vision.github.io/LiDPM/
tldr: LiDPM enables high-quality LiDAR completion by applying a vanilla DDPM with tailored initialization, avoiding local diffusion approximations.
Project page: astra-vision.github.io/LiDPM/
Reposted by Sophia Sirko-Galouchenko 🇺🇦
🔥🔥🔥 CV Folks, I have some news! We're organizing a 1-day meeting in center Paris on June 6th before CVPR called CVPR@Paris (similar as NeurIPS@Paris) 🥐🍾🥖🍷
Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...
Big 🧵👇 with details!
Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...
Big 🧵👇 with details!
March 21, 2025 at 6:43 AM
🔥🔥🔥 CV Folks, I have some news! We're organizing a 1-day meeting in center Paris on June 6th before CVPR called CVPR@Paris (similar as NeurIPS@Paris) 🥐🍾🥖🍷
Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...
Big 🧵👇 with details!
Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa...
Big 🧵👇 with details!
Reposted by Sophia Sirko-Galouchenko 🇺🇦
This amazing team ❤️
We've just had our annual gathering to get together and brainstorm on new exciting ideas and projects ahead -- stay tuned!
This is also an excellent occasion to fit all team members in a photo 📸
This is also an excellent occasion to fit all team members in a photo 📸
January 27, 2025 at 5:01 PM
This amazing team ❤️
Reposted by Sophia Sirko-Galouchenko 🇺🇦
As I haven't found it out there yet, I made the Women in computer vision started pack.
Many more missing, please let me know how is already in bsky to add them!
go.bsky.app/BowzivT
Many more missing, please let me know how is already in bsky to add them!
go.bsky.app/BowzivT
November 22, 2024 at 11:43 PM
As I haven't found it out there yet, I made the Women in computer vision started pack.
Many more missing, please let me know how is already in bsky to add them!
go.bsky.app/BowzivT
Many more missing, please let me know how is already in bsky to add them!
go.bsky.app/BowzivT