67 citations · 80 across the 6 of their papers we have counts for
6 papers
ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition
Abdulwahab Felemban, Yahia Battach, Faizan Farooq Khan +10
Coral reefs are rapidly declining under anthropogenic pressures (e.g., climate change), creating an urgent need for scalable and automated monitoring. Progress in data-driven coral…
3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes
Mahmoud Ahmed, Xiang Li, Arpit Prajapati +1
Understanding objects in 3D at the part level is essential for humans and robots to navigate and interact with the environment. Current datasets for part-level 3D object understand…
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
Xiang Li, Jian Ding, Mohamed Elhoseiny
We introduce a new benchmark designed to advance the development of general-purpose, large-scale vision-language models for remote sensing images. Although several vision-language…
Uni3DL: Unified Model for 3D and Language Understanding
Xiang Li, Jian Ding, Zhaoyang Chen +1
In this work, we present Uni3DL, a unified model for 3D and Language understanding. Distinct from existing unified vision-language models in 3D which are limited in task variety an…
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen, Deyao Zhu, Xiaoqian Shen +7
Large language models have shown their remarkable capabilities as a general interface for various language-related applications. Motivated by this, we target to build a unified int…
3DCoMPaT: An improved Large-scale 3D Vision Dataset for Compositional Recognition
Habib Slim, Xiang Li, Yuchen Li +8
In this work, we present 3DCoMPaT, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-inst…