3 papers
cs.CV2024
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?
Jiaxuan Li, Junwen Mo, MinhDuc Vo +2
Multimodal Large Language Models (MLLMs) have made notable advances in visual understanding, yet their abilities to recognize objects modified by specific attributes remain an open…
cs.CV2023
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto +1
Large language models (LLMs)-based image captioning has the capability of describing objects not explicitly observed in training data; yet novel objects occur frequently, necessita…
cs.GR2023
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
3D Gaussian Splatting (3DGS) has shown remarkable success in synthesizing novel views given multiple views of a static scene. Yet, 3DGS faces challenges when applied to dynamic sce…