Iccv 2025 Evt Efficient View

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[ICCV 2025] Describe, Adapt and Combine : Empowering CLIP Encoders for Open-Set 3D Object Retrieval

ICCV 2025 Presentation - Revisiting Visual Token Pruning for Vision-Language Model Acceleration

github: https://github.com/Yuanhong-Zheng/EMPMP arxiv: https://arxiv.org/abs/2507.09446.

This is the accompanying video of our

Presentation video of Find Any Part in 3D (https://ziqi-ma.github.io/find3dsite/), an

This is the oral presentation of “SuperDec: 3D Scene Decomposition with Superquadric Primitives”, presented at

[ICCV 2025] PlaceIt3D: Language Guided Object Placement in Real 3D Scenes (Teaser Video)

[Project Page] https://thuliu-yt16.github.io/neuframeq [Huggingface Dataset] ...

Title: Removing Cost Volumes from Optical Flow Estimators Authors: Simon Kiefhaber, Stefan Roth, Simone Schaub-Meyer ...

IEEE/CVF International Conference on Computer

CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation. Paper: ...

Streamlining Image Editing with Layered Diffusion Brushes