13 citations · 13 across the 5 of their papers we have counts for
5 papers
Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support
Qianxue Zhang, Yiming Ren, Shihuan Qin +18
In recent years, the advances of large language models and autonomous agents have revolutionized the healthcare field, facilitating diagnosis and improving treatment results. Howev…
VideoPerceiver: Enhancing Fine-Grained Temporal Perception in Video Multimodal Large Language Models
Fufangchen Zhao, Liao Zhang, Daiqi Shi +5
We propose VideoPerceiver, a novel video multimodal large language model (VMLLM) that enhances fine-grained perception in video understanding, addressing VMLLMs' limited ability to…
Multimodal Fusion for Sim2real Transfer in Visual Reinforcement Learning
Zichun Xu, Jingdong Zhao, Chenyu Guo +6
Depth information is robust to scene appearance variations and inherently carries 3D spatial details. Thus, a visual backbone based on the vision transformer is proposed to fuse RG…
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng, Pengfei Fang, Yanjie Liang +3
The explanation for deep neural networks has drawn extensive attention in the deep learning community over the past few years. In this work, we study the visual saliency, a.k.a. vi…
Learning Object Scale With Click Supervision for Object Detection
Liao Zhang, Yan Yan, Lin Cheng +1
Weakly-supervised object detection has recently attracted increasing attention since it only requires image-levelannotations. However, the performance obtained by existingmethods i…