1 citations · 1 across the 5 of their papers we have counts for
6 papers
Agents Are Systems, Not Models: Rethinking Agentic Evaluation
Luis Wiedmann, Leander Girrbach, Cordelia Schmid +1
Agent evaluations increasingly go beyond a single success rate, reporting metrics such as cost, consistency, and robustness. Yet they typically treat the agent itself as fixed. In…
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
Jae Myung Kim, Stephan Alaniz, Cordelia Schmid +1
Despite recent advances in text-to-image generation, using synthetically generated data seldom brings a significant boost in performance for supervised learning. Oftentimes, synthe…
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning
Jae Myung Kim, Stephan Alaniz, Cordelia Schmid +1
Humans can easily tell if an attribute (also called state) is realistic, i.e., feasible, for an object, e.g. fire can be hot, but it cannot be wet. In Open-World Compositional Zero…
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz +2
While text-to-image diffusion models have been shown to achieve state-of-the-art results in image synthesis, they have yet to prove their effectiveness in downstream applications.…
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
Partha Ghosh, Soubhik Sanyal, Cordelia Schmid +1
We present a novel unconditional video generative model designed to address long-term spatial and temporal dependencies, with attention to computational and dataset efficiency. To…
Dense Optical Tracking: Connecting the Dots
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Recent approaches to point tracking are able to recover the trajectory of any scene point through a large portion of a video despite the presence of occlusions. They are, however,…