44 citations · 52 across the 8 of their papers we have counts for
8 papers
SARM: LLM-Augmented Semantic Anchor for End-to-End Live-Streaming Ranking
Ruochen Yang, Yueyang Liu, Zijie Zhuang +14
Large-scale live-streaming recommendation requires precise modeling of non-stationary content semantics under strict real-time serving constraints. In industrial deployment, two co…
SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts
Yufei Liu, Haoke Xiao, Jiaxing Chai +4
The advent of Large Vision Models (LVMs) offers new opportunities for few-shot medical image segmentation. However, existing training-free methods based on LVMs fail to effectively…
FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry
Bo Li, Haoke Xiao, Lv Tang
Vision Mamba offers linear complexity for long visual sequences, yet its performance depends critically on how a two-dimensional patch grid is serialized into a one-dimensional sta…
Scalable Visual State Space Model with Fractal Scanning
Lv Tang, HaoKe Xiao, Peng-Tao Jiang +3
Foundational models have significantly advanced in natural language processing (NLP) and computer vision (CV), with the Transformer architecture becoming a standard backbone. Howev…
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li, Haoke Xiao, Lv Tang
In the evolving landscape of computer vision, foundation models have emerged as pivotal tools, exhibiting exceptional adaptability to a myriad of tasks. Among these, the Segment An…
Towards Training-free Open-world Segmentation via Image Prompt Foundation Models
Lv Tang, Peng-Tao Jiang, Hao-Ke Xiao +1
The realm of computer vision has witnessed a paradigm shift with the advent of foundational models, mirroring the transformative influence of large language models in the domain of…
Zero-Shot Co-salient Object Detection Framework
Haoke Xiao, Lv Tang, Bo Li +2
Co-salient Object Detection (CoSOD) endeavors to replicate the human visual system's capacity to recognize common and salient objects within a collection of images. Despite recent…
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Lv Tang, Haoke Xiao, Bo Li
SAM is a segmentation model recently released by Meta AI Research and has been gaining attention quickly due to its impressive performance in generic object segmentation. However,…