Nashville, Tennessee – The Computer Vision and Pattern Recognition Conference (CVPR), a premier global event in the fields of computer vision and artificial intelligence, will host its inaugural Workshop on Test-time Scaling in Computer Vision (ViSCALE) from June 11-15, 2025. The conference will be held in Nashville, Tennessee.
Organized by leading researchers from institutions including Tsinghua University, Oxford University, UCSC, UCLA, and the Chinese Academy of Sciences, ViSCALE aims to delve into the transformative potential of Test-time Scaling (TTS) for computer vision models, algorithms, and applications.
The Rise of Test-time Scaling
Test-time Scaling involves strategically allocating more computational resources during the inference phase to enhance model performance. This approach has already demonstrated remarkable success in large language models (LLMs), such as OpenAI’s o1/o3 and DeepSeek-R1, significantly boosting their reasoning capabilities on complex tasks. Now, researchers are eager to explore the potential of TTS within the realm of computer vision.
By allocating more inference computation, visual models can achieve higher accuracy, robustness, and interpretability in complex tasks such as perception, understanding, reasoning, and decision-making, organizers stated.
Expanding Horizons: From Vision to Multimodality
The potential of Test-time Scaling extends beyond single-modality applications. The workshop will also explore the integration of TTS into multi-modal foundation models. This integration promises to unlock more sophisticated multi-modal understanding and reasoning capabilities, ultimately leading to the generation of higher-quality content.
Call for Submissions
ViSCALE invites researchers and practitioners to submit their work on all aspects of Test-time Scaling in computer vision. The workshop provides a platform to discuss the latest advancements, challenges, and future directions in this rapidly evolving field.
Conclusion
The inaugural ViSCALE workshop at CVPR 2025 represents a significant step towards unlocking the full potential of Test-time Scaling in computer vision. By bringing together leading experts and fostering collaboration, the workshop aims to accelerate the development of more powerful, robust, and interpretable vision systems. The exploration of TTS and its application to multi-modal models holds the key to future advancements in AI and its ability to understand and interact with the world around us.
References:
- CVPR 2025 Conference Website: (When available, the official CVPR 2025 website will be linked here)
- Machine Heart (机器之心) Report: (Link to the original Machine Heart article will be included here)
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