Summary of Configural Processing As An Optimized Strategy For Robust Object Recognition in Neural Networks, by Hojin Jang et al.
Configural processing as an optimized strategy for robust object recognition in neural networksby Hojin Jang,…
Summary of Many-shot In-context Learning For Molecular Inverse Design, by Saeed Moayedpour et al.
Many-Shot In-Context Learning for Molecular Inverse Designby Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh, Shahriar Noroozizadeh,…
Summary of Wonderful Team: Zero-shot Physical Task Planning with Visual Llms, by Zidan Wang et al.
Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMsby Zidan Wang, Rui Shen, Bradly StadieFirst…
Summary of Personalized and Context-aware Route Planning For Edge-assisted Vehicles, by Dinesh Cyril Selvaraj et al.
Personalized and Context-aware Route Planning for Edge-assisted Vehiclesby Dinesh Cyril Selvaraj, Falko Dressler, Carla Fabiana…
Summary of Restoreagent: Autonomous Image Restoration Agent Via Multimodal Large Language Models, by Haoyu Chen et al.
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Modelsby Haoyu Chen, Wenbo Li, Jinjin…
Summary of Attentionhand: Text-driven Controllable Hand Image Generation For 3d Hand Reconstruction in the Wild, by Junho Park et al.
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wildby Junho Park,…
Summary of Gaussiansr: High Fidelity 2d Gaussian Splatting For Arbitrary-scale Image Super-resolution, by Jintong Hu et al.
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolutionby Jintong Hu, Bin Xia, Bin…
Summary of Difficulty Estimation and Simplification Of French Text Using Llms, by Henri Jamet et al.
Difficulty Estimation and Simplification of French Text Using LLMsby Henri Jamet, Yash Raj Shrestha, Michalis…
Summary of Peft-u: Parameter-efficient Fine-tuning For User Personalization, by Christopher Clarke et al.
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalizationby Christopher Clarke, Yuzhao Heng, Lingjia Tang, Jason MarsFirst submitted…
Summary of Self-supervised Pre-training with Diffusion Model For Few-shot Landmark Detection in X-ray Images, by Roberto Di Via et al.
Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray imagesby Roberto Di Via,…