13 citations · 18 across the 9 of their papers we have counts for
9 papers
Dense Video Captioning using Graph-based Sentence Summarization
Zhiwang Zhang, Dong Xu, Wanli Ouyang +1
Recently, dense video captioning has made attractive progress in detecting and captioning all events in a long untrimmed video. Despite promising results were achieved, most existi…
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
Zhiwang Zhang, Dong Xu, Wanli Ouyang +1
In this work, we propose a division-and-summarization (DaS) framework for dense video captioning. After partitioning each untrimmed long video as multiple event proposals, where ea…
CLGRPO: Reasoning Ability Enhancement for Small VLMs
Fanyi Wang, Binzhi Dong, Haotian Hu +2
Small Vision Language Models (SVLMs) generally refer to models with parameter sizes less than or equal to 2B. Their low cost and power consumption characteristics confer high comme…
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction Framework
Haotian Hu, Jingwei Xu, Fanyi Wang +4
Reconstruction of high-definition maps is a crucial task in perceiving the autonomous driving environment, as its accuracy directly impacts the reliability of prediction and planni…
LoopAnimate: Loopable Salient Object Animation
Fanyi Wang, Peng Liu, Haotian Hu +6
Research on diffusion model-based video generation has advanced rapidly. However, limitations in object fidelity and generation length hinder its practical applications. Additional…
ADMap: Anti-disturbance framework for reconstructing online vectorized HD map
Haotian Hu, Fanyi Wang, Yaonong Wang +3
In the field of autonomous driving, online high-definition (HD) map reconstruction is crucial for planning tasks. Recent research has developed several high-performance HD map reco…
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection
Hu Haotian, Wang Fanyi, Su Jingwen +2
3D object detection is one of the most important tasks in autonomous driving and robotics. Our research focuses on tackling low efficiency issue of point-based methods on large-sca…
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
Haotian Hu, Fanyi Wang, Jingwen Su +5
In recent years, great progress has been made in the Lift-Splat-Shot-based (LSS-based) 3D object detection method. However, inaccurate depth estimation remains an important constra…
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
Jinkai Lv, Yuyong Hu, Quanshui Fu +6
The convolutional-based methods provide good segmentation performance in the medical image segmentation task. However, those methods have the following challenges when dealing with…