3 citations · 4 across the 16 of their papers we have counts for
8 papers · 1 filter
FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing
Yunkai Dang, Donghao Wang, Jiacheng Yang +7
Large vision-language models (VLMs) exhibit strong performance across various tasks. However, these VLMs encounter significant challenges when applied to the remote sensing domain…
VIDEOP2R: Video Understanding from Perception to Reasoning
Yifan Jiang, Yueying Wang, Rui Zhao +4
Reinforcement fine-tuning (RFT), a two-stage framework consisting of supervised fine-tuning (SFT) and reinforcement learning (RL) has shown promising results on improving reasoning…
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
Fan Yuan, Yuchen Yan, Yifan Jiang +9
Mathematical reasoning is a key capability for vision-language models (VLMs), yet current benchmarks mainly evaluate text-based or explicitly symbolic visual inputs. It remains unc…
ZS-Puffin: Design, Modeling and Implementation of an Unmanned Aerial-Aquatic Vehicle with Amphibious Wings
Zhenjiang Wang, Yunhua Jiang, Zikun Zhen +3
Unmanned aerial-aquatic vehicles (UAAVs) can operate both in the air and underwater, giving them broad application prospects. Inspired by the dual-function wings of puffins, we pro…
A Study of Commonsense Reasoning over Visual Object Properties
Abhishek Kolari, Mohammadhossein Khojasteh, Yifan Jiang +2
Inspired by human categorization, visual reasoning about object properties, such as physical attributes and functions, involves identifying and recognizing low-level details and hi…
Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation
Hongbin Lin, Yifan Jiang, Juangui Xu +5
3D point cloud segmentation aims to assign semantic labels to individual points in a scene for fine-grained spatial understanding. Existing methods typically adopt data augmentatio…
Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models
Yifan Jiang, Yibo Xue, Yukun Kang +4
Slide animations, such as fade-in, fly-in, and wipe, are critical for audience engagement, efficient information delivery, and vivid visual expression. However, most AI-driven slid…
DiMeR: Disentangled Mesh Reconstruction Model
Lutao Jiang, Jiantao Lin, Kanghao Chen +7
We propose DiMeR, a novel geometry-texture disentangled feed-forward model with 3D supervision for sparse-view mesh reconstruction. Existing methods confront two persistent obstacl…