11 citations · 32 across the 39 of their papers we have counts for
24 papers · 1 filter
SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
Huipeng Guo, Zikai Song, Hang Long +7
Mesh subdivision is a fundamental operation for converting coarse, editable meshes into high-resolution surfaces, with broad applications in digital asset creation. Classical rule-…
PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization
Ying Tang, Dong Li, Youjia Zhang +3
Unifying the complementary strengths of diverse Vision Foundation Models (VFMs) into a single efficient model is highly desirable but challenged by the negative transfer inherent i…
CurEvo: Curriculum-Guided Self-Evolution for Video Understanding
Guiyi Zeng, Junqing Yu, Yi-Ping Phoebe Chen +3
Recent advances in self-evolution video understanding frameworks have demonstrated the potential of autonomous learning without human annotations. However, existing methods often s…
GateMOT: Q-Gated Attention for Dense Object Tracking
Mingjin Lv, Zelin Liu, Feifei Shao +4
While large models demonstrate the strong representational power of vanilla attention, this core mechanism cannot be directly applied to Dense Object Tracking: its quadratic all-to…
OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction
Liliang Ye, Guiyi Zeng, Yunyao Zhang +3
Predicting social media popularity requires understanding both the intrinsic appeal of content and the external context that determines how it is exposed to users. Existing methods…
Hypergraph-State Collaborative Reasoning for Multi-Object Tracking
Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen +2
Motion reasoning serves as the cornerstone of multi-object tracking (MOT), as it enables consistent association of targets across frames. However, existing motion estimation approa…
Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
Qilong Xing, Zikai Song, Bingxin Gong +3
Accurate prognosis of non-small cell lung cancer (NSCLC) patients undergoing immunotherapy is essential for personalized treatment planning, enabling informed patient decisions, an…
MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
Qilong Xing, Zikai Song, Youjia Zhang +3
Despite significant advancements in adapting Large Language Models (LLMs) for radiology report generation (RRG), clinical adoption remains challenging due to difficulties in accura…
MVP: Winning Solution to SMP Challenge 2025 Video Track
Liliang Ye, Yunyao Zhang, Yafeng Wu +4
Social media platforms serve as central hubs for content dissemination, opinion expression, and public engagement across diverse modalities. Accurately predicting the popularity of…
ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
Sicheng Feng, Song Wang, Shuyi Ouyang +5
Multimodal large language models (MLLMs) have demonstrated significant progress in semantic scene understanding and text-image alignment, with reasoning variants enhancing performa…
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
Yangliu Hu, Zikai Song, Na Feng +4
Video-based Large Language Models (Video-LLMs) have witnessed substantial advancements in recent years, propelled by the advancement in multi-modal LLMs. Although these models have…
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model
Hang Zhou, Jiale Cai, Yuteng Ye +5
A recent endeavor in one class of video anomaly detection is to leverage diffusion models and posit the task as a generation problem, where the diffusion model is trained to recove…
Ref-GS: Directional Factorization for 2D Gaussian Splatting
Youjia Zhang, Anpei Chen, Yumin Wan +4
In this paper, we introduce Ref-GS, a novel approach for directional light factorization in 2D Gaussian splatting, which enables photorealistic view-dependent appearance rendering…
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking
Run Luo, Zikai Song, Longze Chen +3
Multi-Object Tracking (MOT) aims to associate multiple objects across video frames and is a challenging vision task due to inherent complexities in the tracking environment. Most e…
Autogenic Language Embedding for Coherent Point Tracking
Zikai Song, Ying Tang, Run Luo +4
Point tracking is a challenging task in computer vision, aiming to establish point-wise correspondence across long video sequences. Recent advancements have primarily focused on te…
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
Run Luo, Yunshui Li, Longze Chen +9
The development of large language models (LLMs) has significantly advanced the emergence of large multimodal models (LMMs). While LMMs have achieved tremendous success by promoting…
EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representation
Wenkai Liu, Tao Guan, Bin Zhu +5
In the domain of 3D scene representation, 3D Gaussian Splatting (3DGS) has emerged as a pivotal technology. However, its application to large-scale, high-resolution scenes (exceedi…
AMD:Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
Beibei Jing, Youjia Zhang, Zikai Song +2
Generating realistic human motion sequences from text descriptions is a challenging task that requires capturing the rich expressiveness of both natural language and human motion.…
Optimized View and Geometry Distillation from Multi-view Diffuser
Youjia Zhang, Zikai Song, Junqing Yu +2
Generating multi-view images from a single input view using image-conditioned diffusion models is a recent advancement and has shown considerable potential. However, issues such as…
Fine-grained Appearance Transfer with Diffusion Models
Yuteng Ye, Guanwen Li, Hang Zhou +7
Image-to-image translation (I2I), and particularly its subfield of appearance transfer, which seeks to alter the visual appearance between images while maintaining structural coher…
Progressive Text-to-Image Diffusion with Soft Latent Direction
YuTeng Ye, Jiale Cai, Hang Zhou +6
In spite of the rapidly evolving landscape of text-to-image generation, the synthesis and manipulation of multiple entities while adhering to specific relational constraints pose e…
DiffusionTrack: Diffusion Model For Multi-Object Tracking
Run Luo, Zikai Song, Lintao Ma +3
Multi-object tracking (MOT) is a challenging vision task that aims to detect individual objects within a single frame and associate them across multiple frames. Recent MOT approach…
Compact Transformer Tracker with Correlative Masked Modeling
Zikai Song, Run Luo, Junqing Yu +2
Transformer framework has been showing superior performances in visual object tracking for its great strength in information aggregation across the template and search image with t…
Transformer Tracking with Cyclic Shifting Window Attention
Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen +1
Transformer architecture has been showing its great strength in visual object tracking, for its effective attention mechanism. Existing transformer-based approaches adopt the pixel…