This is very disappointing and should not happen. Decisions on the paper or workshop proposal should be based only on the submission itself. It is unacceptable to reject the paper due to the "lack of capacity" of the conference (or some other reasons that we never know).
19.09.2025 04:15 β π 4 π 0 π¬ 0 π 0
Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?
18.08.2025 10:48 β π 26 π 8 π¬ 1 π 4
π¨Deadline extension!!
The 2nd CEGIS workshop on visual generative models evaluation at #ICCV2025 #ICCV @iccv.bsky.social
π΄ New deadline: July 2nd 2025 (11:59 pm, Pacific Time)
π Submission site: cmt3.research.microsoft.com/CEGIS2025
π Check details at: sites.google.com/view/cegis-w...
26.06.2025 14:23 β π 5 π 2 π¬ 0 π 0
π¨ Deadline Extension
Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @iccv.bsky.social
π
new deadline: June 26, 2025 (23:59 AoE)
π paper submission: cmt3.research.microsoft.com/ILRnG2025
π ILR+G website: ilr-workshop.github.io/ICCVW2025/
#ICCV2025 #ComputerVision #AI
22.06.2025 11:01 β π 12 π 10 π¬ 1 π 0
Computer Vision β ECCV 2024 Workshops
The ECCV 2024 Workshops' proceedings deal with up to date topics in research and applications in computer vision.
#ECCV2024 Workshop Proceedings are now available which includes the VISART papers on #computervision, #arthistory and #culturalheritage link.springer.com/book/10.1007...
23.06.2025 13:41 β π 3 π 2 π¬ 0 π 0
Thank you Vangelis!
14.06.2025 08:50 β π 2 π 0 π¬ 0 π 0
Are you at @cvprconference.bsky.social #CVPR2025 ? Come and check out LPOSS.
We show how can graph-based label propagation be used to improve weak, patch-level predictions from VLMs for open-vocabulary semantic segmentation.
π
June 13, 2025, 16:00 β 18:00 CDT
π Location: ExHall D, Poster #421
13.06.2025 12:02 β π 14 π 6 π¬ 1 π 0
VRG is presenting 8 papers at #CVPR2025. You can find me and collaborators at the following 4 posters:
Fri 10:30-12:30 A Dataset for Semantic Segmentation in the Presence of Unknowns
Fri 16:00-18:00 LOCORE: Image Re-ranking with Long-Context Sequence Modeling
12.06.2025 23:18 β π 10 π 3 π¬ 1 π 0
Thank you very much Noa sensei!!
14.06.2025 06:20 β π 2 π 0 π¬ 0 π 0
I finished my PhD defense! Thank my dearest supervisors Prof. @noagarciad.bsky.social and Prof. Yuta Nakashima for their consistent support during this journey. I am grateful for being their student β¨ Also thank Prof. @gtolias.bsky.social for his support during our collaboration! πͺ
14.06.2025 01:46 β π 7 π 0 π¬ 1 π 1
Are you at @cvprconference.bsky.social? Come by our poster!
π
Sat 14/6, 10:30-12:30
π Poster #395, ExHall D
13.06.2025 05:09 β π 17 π 9 π¬ 0 π 0
π¨ Call for papers!
The 2nd CEGIS workshop on visual generative models evaluation is back at #ICCV2025!!
π΄ Deadline: June 26th 2025
π Submission site: cmt3.research.microsoft.com/CEGIS2025
π Check details at: sites.google.com/view/cegis-w...
See you in Honolulu!
02.06.2025 13:24 β π 3 π 0 π¬ 0 π 1
Call for Papers update - ILR+G workshop @iccv.bsky.social
We will now feature a single submission track with new submission dates.
π
New submission deadline: June 21, 2025
π Submit here: cmt3.research.microsoft.com/ILRnG2025
π More details: ilr-workshop.github.io/ICCVW2025/
#ICCV2025
24.05.2025 08:27 β π 10 π 8 π¬ 0 π 0
The instance-level recognition workshop is back! This year also including instance level generation.
Submit your in-proceedings papers by June 7, or out-of-proceedings by June 30.
See you in Honolulu! ποΈ
#iccv2025 @iccv.bsky.social
07.05.2025 09:32 β π 5 π 1 π¬ 0 π 0
Gender inequality in Japanese academia
www.nature.com/articles/s44...
10.04.2025 08:56 β π 4 π 1 π¬ 0 π 0
ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques.
27.02.2025 14:48 β π 39 π 15 π¬ 2 π 3
Congratulations!!!
14.02.2025 16:47 β π 1 π 0 π¬ 1 π 0
For PhD and MSc students interested in a research visit to Prague/VRG in 2025: we're open to hosting short-term collaborations or internships on a range of computer vision topics. If this sounds exciting, reach out by e-mail! We'd love to discuss potential projects. Some examples π§΅
#Internship #CV
12.02.2025 08:26 β π 27 π 22 π¬ 1 π 2
It is amazing working with you and celebrating Christmas day together! Letβs make a better year ahead! ππ©·
25.12.2024 16:48 β π 4 π 0 π¬ 0 π 0
This work includes a reality check for single-source domain generalization. Were prior method tuned properly on the validation set? Possible not, because an appropriate validation set did not exist until now. #WACV2025 paper.
16.12.2024 15:46 β π 4 π 2 π¬ 1 π 0
Excited to present UDON at NeurIPS '24 tomorrow (Thursday 12/12)! If you are interested in a scalable training method for multi-domain image embeddings, come to poster #1410 in the East Exhibit Hall A-C of the Vancouver Convention Center from 11 am to 2 pm (PST) to discuss!
12.12.2024 01:25 β π 12 π 6 π¬ 0 π 0
My first PhD paper at Osaka University! Very very very thankful for my wonderful collaborators and advisors!
10.12.2024 08:18 β π 4 π 2 π¬ 0 π 0
Introducing a new composed (image + text query) image retrieval method that enables domain conversionβstyle, context, or backgroundβof objects.
06.12.2024 10:56 β π 12 π 4 π¬ 1 π 0
A must-read post on bias and why training data isn't the sole culprit
25.11.2024 04:28 β π 16 π 7 π¬ 0 π 0
PhD candidate at UvA on video understanding and film
PhD Candidate at @MPI-IS || 3D Vision & Digital Avatars || Ex: @Daimler, @Intel
Webpage: https://saidwivedi.in
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 2026 in Montreal, Canada π¨π¦ #FAccT2026
https://facctconference.org/
Senior research scientist at Unity | Generative models, Computer Graphics
Ph.D. Student @ VRG, CTU in Prague, CZ. Previously ECE @ NTUA, GR.
Mainly focused on fine-grained image representations that scale.
I work on and write about issues around #AI, autonomous weapons, #climatechange, #longcovid, and healing techniques for many other chronic health conditions. Learn more about my health experiences at www.thehealingpathways.org.
building something new
reposting art, research
prev: ed tech startup (10M users, acquired), yc, that forbes list, mit
https://www.leandra.dev/
Assistant Professor at UPenn. https://lingjie0206.github.io. Research interests: Neural Scene Representation, Neural Rendering, 3D Reconstruction, Human Performance Modeling and Capture.
Loud Spaniard. Maths & Software fan π©π»βπ»π±π» Dr in Computer Vision. Working on AI in media production π¬ Mostly rants about AI, ML, FOSS, science, ethics, politics & public transport in the UK π΄ββοΈπ₯Ύπ She/her
PhD student in visual representation learning at Valeo.ai and Sorbonne UniversitΓ© (MLIA)
a Ukrainian computer vision researcher escaping Twitter madness π
3D Computer Vision & Generative modelling
PhD student @ Inria Paris & @valeoai.bsky.social | Researcher @ Ukrainian Catholic University
https://t-martyniuk.github.io/
PhD in machine learning & computer vision. Interested in 3D vision, robotics & spatial AI in general
Training VLAs for a living...
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her.
One photo a day since January 2018: https://www.instagram.com/logisticaggression/
Assistant Professor in CS: researching ML/AI in sociotechnical systems & teaching Data Science and Dev tools with an emphasis responsible computing
New Englander, NSBE lifetime member
profile pic: me in a purplish sweater with math vaguely on the w
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.