5 citations · 15 across the 29 of their papers we have counts for
18 papers · 1 filter
UniMoFlow: Grounding Instruction-Driven 3D Human Motion Editing in Generation
Yilei Hua, Beibei Jing, Ce Zheng +3
Instruction-driven editing of 3D human motion requires precise spatiotemporal localization, rich semantic grounding, and strict preservation of unmodified content. Existing methods…
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…
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…
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…
MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize
Haohang Xu, Longyu Chen, Yichen Zhang +2
While diffusion-based generative models have made significant strides in visual content creation, conventional approaches face computational challenges, especially for high-resolut…
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…
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…
TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing
Teng Xu, Jiamin Chen, Peng Chen +3
Editing objects within a scene is a critical functionality required across a broad spectrum of applications in computer vision and graphics. As 3D Gaussian Splatting (3DGS) emerges…
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…