ViLLa: Video Reasoning Segmentation with Large Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Rongkun, Qi, Lu, Chen, Xi, Wang, Yi, Wang, Kun, Qiao, Yu, Zhao, Hengshuang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SyncVIS: Synchronized Video Instance Segmentation
by: Zheng, Rongkun, et al.
Published: (2024)
by: Zheng, Rongkun, et al.
Published: (2024)
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
by: Zheng, Rongkun, et al.
Published: (2023)
by: Zheng, Rongkun, et al.
Published: (2023)
Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
by: Zheng, Rongkun, et al.
Published: (2025)
by: Zheng, Rongkun, et al.
Published: (2025)
ViLLa: A Neuro-Symbolic approach for Animal Monitoring
by: Koduri, Harsha
Published: (2025)
by: Koduri, Harsha
Published: (2025)
DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs
by: Zhao, Jiahe, et al.
Published: (2025)
by: Zhao, Jiahe, et al.
Published: (2025)
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
ViRectify: A Challenging Benchmark for Video Reasoning Correction with Multimodal Large Language Models
by: Hei, Xusen, et al.
Published: (2025)
by: Hei, Xusen, et al.
Published: (2025)
HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models
by: Huang, Runhui, et al.
Published: (2024)
by: Huang, Runhui, et al.
Published: (2024)
EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning
by: Sun, Haoran, et al.
Published: (2025)
by: Sun, Haoran, et al.
Published: (2025)
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
by: Qi, Zhangyang, et al.
Published: (2025)
by: Qi, Zhangyang, et al.
Published: (2025)
LayerFlow: A Unified Model for Layer-aware Video Generation
by: Ji, Sihui, et al.
Published: (2025)
by: Ji, Sihui, et al.
Published: (2025)
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
by: Lin, Lang, et al.
Published: (2025)
by: Lin, Lang, et al.
Published: (2025)
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
by: Lu, Weiheng, et al.
Published: (2024)
by: Lu, Weiheng, et al.
Published: (2024)
LLaFS: When Large Language Models Meet Few-Shot Segmentation
by: Zhu, Lanyun, et al.
Published: (2023)
by: Zhu, Lanyun, et al.
Published: (2023)
TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
by: Chen, Harold Haodong, et al.
Published: (2025)
by: Chen, Harold Haodong, et al.
Published: (2025)
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data
by: Tu, Yuanpeng, et al.
Published: (2025)
by: Tu, Yuanpeng, et al.
Published: (2025)
ViViD: Video Virtual Try-on using Diffusion Models
by: Fang, Zixun, et al.
Published: (2024)
by: Fang, Zixun, et al.
Published: (2024)
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
by: Cheung, Yau Shing Jonathan, et al.
Published: (2023)
by: Cheung, Yau Shing Jonathan, et al.
Published: (2023)
VISA: Reasoning Video Object Segmentation via Large Language Models
by: Yan, Cilin, et al.
Published: (2024)
by: Yan, Cilin, et al.
Published: (2024)
Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation
by: Luo, Jingnan, et al.
Published: (2026)
by: Luo, Jingnan, et al.
Published: (2026)
ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models
by: Mou, Tingshu, et al.
Published: (2026)
by: Mou, Tingshu, et al.
Published: (2026)
TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning
by: Chu, Meng, et al.
Published: (2025)
by: Chu, Meng, et al.
Published: (2025)
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
by: Qi, Zhangyang, et al.
Published: (2025)
by: Qi, Zhangyang, et al.
Published: (2025)
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
by: AI, Inclusion, et al.
Published: (2026)
by: AI, Inclusion, et al.
Published: (2026)
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
by: Zhu, Mingkang, et al.
Published: (2024)
by: Zhu, Mingkang, et al.
Published: (2024)
VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
by: Wang, Zikang, et al.
Published: (2025)
by: Wang, Zikang, et al.
Published: (2025)
DiffCamera: Arbitrary Refocusing on Images
by: Wang, Yiyang, et al.
Published: (2025)
by: Wang, Yiyang, et al.
Published: (2025)
PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning
by: Ji, Sihui, et al.
Published: (2025)
by: Ji, Sihui, et al.
Published: (2025)
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
GDRO: Group-level Reward Post-training Suitable for Diffusion Models
by: Wang, Yiyang, et al.
Published: (2026)
by: Wang, Yiyang, et al.
Published: (2026)
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
by: Tu, Yuanpeng, et al.
Published: (2025)
by: Tu, Yuanpeng, et al.
Published: (2025)
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
by: Huang, Kuan-Chih, et al.
Published: (2024)
by: Huang, Kuan-Chih, et al.
Published: (2024)
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding
by: Feng, Jie, et al.
Published: (2025)
by: Feng, Jie, et al.
Published: (2025)
ViLA: Efficient Video-Language Alignment for Video Question Answering
by: Wang, Xijun, et al.
Published: (2023)
by: Wang, Xijun, et al.
Published: (2023)
Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
by: Ma, Fan, et al.
Published: (2023)
by: Ma, Fan, et al.
Published: (2023)
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
by: Yang, Lihe, et al.
Published: (2024)
by: Yang, Lihe, et al.
Published: (2024)
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
by: Wang, Yi, et al.
Published: (2024)
by: Wang, Yi, et al.
Published: (2024)
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
by: Xu, Jinjin, et al.
Published: (2023)
by: Xu, Jinjin, et al.
Published: (2023)
Similar Items
-
SyncVIS: Synchronized Video Instance Segmentation
by: Zheng, Rongkun, et al.
Published: (2024) -
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
by: Zheng, Rongkun, et al.
Published: (2023) -
Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
by: Zheng, Rongkun, et al.
Published: (2025) -
ViLLa: A Neuro-Symbolic approach for Animal Monitoring
by: Koduri, Harsha
Published: (2025) -
DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs
by: Zhao, Jiahe, et al.
Published: (2025)