activity
20212025
most citedPredicate correlation learning for scene graph generation

31 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal Models

Hongchen Wei, Zhihong Tan, Yaosi Hu +2

Large Multimodal Models (LMMs) have demonstrated exceptional performance in video captioning tasks, particularly for short videos. However, as the length of the video increases, ge…

eess.IV2025

Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model

Huiying Shi, Zhihong Tan, Zhihan Zhang +4

The complexity of scenes and variations in image quality result in significant variability in the performance of semantic segmentation methods of remote sensing imagery (RSI) in su…

cs.CV2024

SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control

Binyuan Huang, Yuqing Wen, Yucheng Zhao +9

Autonomous driving progress relies on large-scale annotated datasets. In this work, we explore the potential of generative models to produce vast quantities of freely-labeled data…

cs.CV2023★ 9 cited

LaMD: Latent Motion Diffusion for Image-Conditional Video Generation

Yaosi Hu, Zhenzhong Chen, Chong Luo

The video generation field has witnessed rapid improvements with the introduction of recent diffusion models. While these models have successfully enhanced appearance quality, they…

cs.CV2022

Learning Human Cognitive Appraisal Through Reinforcement Memory Unit

Yaosi Hu, Zhenzhong Chen

We propose a novel memory-enhancing mechanism for recurrent neural networks that exploits the effect of human cognitive appraisal in sequential assessment tasks. We conceptualize t…

cs.CV2021★ 1 cited

Make It Move: Controllable Image-to-Video Generation with Text Descriptions

Yaosi Hu, Chong Luo, Zhenzhong Chen

Generating controllable videos conforming to user intentions is an appealing yet challenging topic in computer vision. To enable maneuverable control in line with user intentions,…

cs.CV2021★ 31 cited

Predicate correlation learning for scene graph generation

Leitian Tao, Li Mi, Nannan Li +3

For a typical Scene Graph Generation (SGG) method, there is often a large gap in the performance of the predicates' head classes and tail classes. This phenomenon is mainly caused…