The Visual Computing Group, led by Hanspeter Pfister, explores and provides visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional data sets in various domains such as neuroscience, genomics, systems biology, astronomy, and medicine.
Projects
Latest Publications
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S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning
International Conference on Learning Representations(ICLR). -
Tree of Attributes Prompt Learning for Vision-Language Models
International Conference on Learning Representations (ICLR). -
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
International Conference on Learning Representations(ICLR). -
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Advances in Neural Information Processing Systems (NeurIPS).