Search Results for author:
Found 5 papers, 3 papers with code
Link-Context Learning for Multimodal LLMs
The ability to learn from context with novel concepts, and deliver appropriate responses are essential in human conversations.
Hierarchy Flow For High-Fidelity Image-to-Image Translation
In this work, we propose Hierarchy Flow, a novel flow-based model to achieve better content preservation during translation.
SAVAnet: Surgical Action-Driven Visual Attention Network for Autonomous Endoscope Control
Finally, the simulation results show that the SAVAnet can endow endoscope with surgeons’ visual attention to perform self-control in real time.
StyleFlow For Content-Fixed Image to Image Translation
We evaluate our model in several I2I translation benchmarks, and the results show that the proposed model has advantages over previous methods in both strongly constrained and normally constrained tasks.
Ranked #1 on
Style Transfer
on WikiArt
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy
Therefore, to address the generalization problem in GI(Gastrointestinal) endoscopy, we propose a multi-domain GI dataset and a light, plug-in block called InvNorm(Invertible Normalization), which could achieve a better generalization performance in any structure.
