Call for Papers: ELVM Workshop at CVPR 2025
Submit your research to the ELVM Workshop at CVPR 2025, focusing on computational efficiency in large vision models. Key dates and topics of interest included.
The Efficient Large Vision Models (ELVM) Workshop at CVPR 2025 is now accepting submissions. This workshop focuses on enhancing computational efficiency in training, adaptation, and inference for large vision models, addressing the high computational demands that challenge scalability and real-world deployment.
Key Dates:
- Submission Deadline: March 21, 2025 (11:59 PM Pacific Time)
- Review Ends: March 28, 2025
- Notification of Acceptance: March 31, 2025
- Camera-Ready Submission: April 4, 2025
Topics of Interest:
- Scalable architectures (e.g., Mamba, RWKV, MoE for vision)
- Optimizing Vision Transformers (token merging, pruning, approximated self-attention)
- Efficient generative models (hierarchical diffusion, adversarial distillation, fast sampling)
- High-resolution & 3D generation (NeRF, Gaussian splatting, efficient multimodal models)
- Low-cost inference and deployment (quantization, pruning, distillation, mobile LVMs)
- Efficient foundation models (CLIP, DINO, open-set detection, semantic segmentation)
Submission Details:
- Short Papers (≤4 pages, excluding references): Early-stage ideas with preliminary experiments.
- Long Papers (≤8 pages, excluding references): Mature work with extensive comparisons & analysis.
- Papers must follow the CVPR 2025 format.
- Submission portal: CMT3 Submission Link
Participate in this workshop to showcase your research, network with top experts, and contribute to the future of efficient vision models. Accepted papers will be published as part of the CVPR 2025 workshop proceedings.
Tags: ELVM Workshop, CVPR 2025, Efficient Vision Models, Large Vision Models, Computational Efficiency, Computer Vision, Research Submission