4 citations · 11 across the 6 of their papers we have counts for
6 papers
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis
Ziming Zhong, Yanxu Xu, Jing Li +4
We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. This model successfully extends the powerful capabilities of 2D segmenta…
MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning
Chenyu Wang, Weixin Luo, Sixun Dong +4
Recently, the astonishing performance of large language models (LLMs) in natural language comprehension and generation tasks triggered lots of exploration of using them as central…
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
Shuo Wang, Jing Li, Zibo Zhao +5
Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth estimation, etc. The key aspect of this problem is to learn…
PSDF for Neural Indoor Scene Reconstruction
Jing Li, Jinpeng Yu, Ruoyu Wang +4
Given only a set of images, neural implicit surface representation has shown its capability in 3D surface reconstruction. However, as the nature of per-scene optimization is based…
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
Huazhang Hu, Sixun Dong, Yiqun Zhao +3
Counting repetitive actions are widely seen in human activities such as physical exercise. Existing methods focus on performing repetitive action counting in short videos, which is…
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Kang Zhou, Jing Li, Weixin Luo +6
Anomaly detection in medical images refers to the identification of abnormal images with only normal images in the training set. Most existing methods solve this problem with a sel…