17 citations · 68 across the 25 of their papers we have counts for
7 papers · 1 filter
MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation
Junyou Zhu, Yanyuan Qiao, Siqi Zhang +3
In recent years, Embodied Artificial Intelligence (Embodied AI) has advanced rapidly, yet the increasing size of models conflicts with the limited computational capabilities of Emb…
The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution
Bin Cao, Yisi Zhang, Hanyi Wang +2
Referring Video Object Segmentation is an emerging multi-modal task that aims to segment objects in the video given a natural language expression. In this work, we build two instan…
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
Bin Cao, Yisi Zhang, Xuanxu Lin +3
Motion Expression guided Video Segmentation is a challenging task that aims at segmenting objects in the video based on natural language expressions with motion descriptions. Unlik…
Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation
Yichen Yan, Xingjian He, Sihan Chen +2
Referring Image Segmentation (RIS) aims to segment an object described in natural language from an image, with the main challenge being a text-to-pixel correlation. Previous method…
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation
Yichen Yan, Xingjian He, Sihan Chen +1
Referring image segmentation aims to segment an object referred to by natural language expression from an image. The primary challenge lies in the efficient propagation of fine-gra…
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
Tongtian Yue, Jie Cheng, Longteng Guo +6
Recent trends in Large Vision Language Models (LVLMs) research have been increasingly focusing on advancing beyond general image understanding towards more nuanced, object-level re…
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions
Wenxuan Wang, Yisi Zhang, Xingjian He +4
Visual grounding (VG) aims at locating the foreground entities that match the given natural language expressions. Previous datasets and methods for classic VG task mainly rely on t…