13 citations · 29 across the 22 of their papers we have counts for
23 papers
DyadMem: A Long-Term Memory Benchmark of How Agents Work with Users
Yifei Tao, Xinyu Zhong, Henry Hengyuan Zhao +5
Long-term agents must remember not only what is true about a user, but also how a particular agent should work with that user as their shared history evolves. Existing benchmarks p…
CA-OPD: Confidence-Aware On-Policy Distillation for Structured Visual Prediction
Menghao Li, Linjie Mu, Yin Wang +6
Autoregressive vision language models unify heterogeneous perception tasks but are highly susceptible to compounding errors. On-policy distillation (OPD) bridges the training-infer…
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…
DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory
Wentao Qiu, Haotian Hu, Fanyi Wang +2
Large language model (LLM) agents require long-term memory to leverage information from past interactions. However, existing memory systems often face a fidelity--efficiency trade-…
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…
MagicStyle: Portrait Stylization Based on Reference Image
Zhaoli Deng, Kaibin Zhou, Fanyi Wang +1
The development of diffusion models has significantly advanced the research on image stylization, particularly in the area of stylizing a content image based on a given style image…
RepControlNet: ControlNet Reparameterization
Zhaoli Deng, Kaibin Zhou, Fanyi Wang +1
With the wide application of diffusion model, the high cost of inference resources has became an important bottleneck for its universal application. Controllable generation, such a…
FPGA: Flexible Portrait Generation Approach
Zhaoli Deng, Fanyi Wang, Junkang Zhang +5
Portrait Fidelity Generation is a prominent research area in generative models.Current methods face challenges in generating full-body images with low-resolution faces, especially…
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…
Zero-shot High-fidelity and Pose-controllable Character Animation
Bingwen Zhu, Fanyi Wang, Tianyi Lu +7
Image-to-video (I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity. However, existing approaches suffer…
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…
Lightweight high-resolution Subject Matting in the Real World
Peng Liu, Fanyi Wang, Jingwen Su +2
Existing saliency object detection (SOD) methods struggle to satisfy fast inference and accurate results simultaneously in high resolution scenes. They are limited by the quality o…
BARET : Balanced Attention based Real image Editing driven by Target-text Inversion
Yuming Qiao, Fanyi Wang, Jingwen Su +4
Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e.g., foreground or…
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Weixuan Sun, Yanhao Zhang, Zhen Qin +5
In this work, we propose a new transformer-based regularization to better localize objects for Weakly supervised semantic segmentation (WSSS). In image-level WSSS, Class Activation…
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…
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
Haotian Hu, Fanyi Wang, Huixiao Le
Owing to the development of research on local aggregation operators, dramatic breakthrough has been made in point cloud analysis models. However, existing local aggregation operato…
A De-raining semantic segmentation network for real-time foreground segmentation
Fanyi Wang, Yihui Zhang
Few researches have been proposed specifically for real-time semantic segmentation in rainy environments. However, the demand in this area is huge and it is challenging for lightwe…
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…