13 citations · 23 across the 11 of their papers we have counts for
12 papers
ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation
Tengda Guo, Jiawang Hu, Yifei Tao +4
Long-horizon GUI agents rely on visual history to maintain task states, but retaining historical screenshots increases visual-token usage and inference costs, while textual summari…
SpecPrefetch: Parameter-Efficient Expert Prefetching for Sparse MoE Foundation Models
Jinwei Kong, Runqi Meng, Fanyi Wang +4
Sparse Mixture-of-Experts (MoE) models expand foundation model capacity through conditional expert activation, but their full expert pools remain difficult to deploy under limited…
StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design
Yin Wang, Haotian Hu, Jineng Han +4
Deploying a vision-language model with full UI understanding on end devices has long been trapped between accuracy and efficiency: on one side is the accuracy bar for OCR, screen u…
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…
A Machine Vision Method for Correction of Eccentric Error: Based on Adaptive Enhancement Algorithm
Fanyi Wang, Pin Cao, Yihui Zhang +2
In the procedure of surface defects detection for large-aperture aspherical optical elements, it is of vital significance to adjust the optical axis of the element to be coaxial wi…
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…
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis
Haotian Hu, Fanyi Wang, Jingwen Su +5
In point cloud analysis tasks, the existing local feature aggregation descriptors (LFAD) are unable to fully utilize information in the neighborhood of central points. Previous met…
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…
BAM: A Balanced Attention Mechanism for Single Image Super Resolution
Fanyi Wang, Haotian Hu, Cheng Shen
Recovering texture information from the aliasing regions has always been a major challenge for Single Image Super Resolution (SISR) task. These regions are often submerged in noise…