3 citations · 3 across the 3 of their papers we have counts for
4 papers
Enhancing Part-Level Point Grounding for Any Open-Source MLLMs
Jin-Cheng Jhang, Fu-En Wang, Xin Yang +4
Visual grounding aims to associate free-form textual queries with specific regions in an image. While recent Multimodal Large Language Models (MLLMs) have demonstrated promising ca…
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
Sanghun Jung, Jingjing Zheng, Ke Zhang +10
Unlike closed-vocabulary 3D instance segmentation that is often trained end-to-end, open-vocabulary 3D instance segmentation (OV-3DIS) often leverages vision-language models (VLMs)…
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu, Ke Zhang, Lu Xia +9
Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e.g. achieving 76.3% top-1 accuracy on ImageNet wi…
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
Cheng-Yen Yang, Jiajia Luo, Lu Xia +5
To improve the generalization of 3D human pose estimators, many existing deep learning based models focus on adding different augmentations to training poses. However, data augment…