2 citations · 2 across the 4 of their papers we have counts for
4 papers
Lifting Unlabeled Internet-level Data for 3D Scene Understanding
Yixin Chen, Yaowei Zhang, Huangyue Yu +9
Annotated 3D scene data is scarce and expensive to acquire, while abundant unlabeled videos are readily available on the internet. In this paper, we demonstrate that carefully desi…
Efficient Large Multi-modal Models via Visual Context Compression
Jieneng Chen, Luoxin Ye, Ju He +3
While significant advancements have been made in compressed representations for text embeddings in large language models (LLMs), the compression of visual tokens in multi-modal LLM…
Learning Part Segmentation from Synthetic Animals
Jiawei Peng, Ju He, Prakhar Kaushik +3
Semantic part segmentation provides an intricate and interpretable understanding of an object, thereby benefiting numerous downstream tasks. However, the need for exhaustive annota…
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
Ju He, Qihang Yu, Inkyu Shin +4
Video segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to video segment…