activity
20242026
most citedHybrid Mamba for Few-Shot Segmentation

2 citations · 2 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Mallea: Building, Steering, and Memorizing Worlds with Coding Agent

Xuanyi Liu, Ruiqi Li, Siwei Ma

Code world models represent world dynamics through explicit state and executable rules. We investigate how to coordinate object representations, behavioral revisions, and visual me…

cs.CV2026

MoWorld: A Flash World Model

Team Moxin, Deyi Ji, Tianrun Chen +37

The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive per…

cs.CE2026

CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors

Xuanyi Liu, Deyi Ji, Liqun Liu +8

Sparse camera-conditioned image-to-video generation presents a pivotal challenge: synthesizing geometrically consistent 3D motion from minimal pose cues. Existing methods, which la…

cs.CV2026

Video-Zero: Self-Evolution Video Understanding

Ruixu Zhang, Deyi Ji, Lanyun Zhu +4

Self-evolution offers a promising path for improving reasoning models without relying on intensive human annotation. However, extending this paradigm to video understanding remains…

cs.CL2026

Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis

Junyu Lu, Deyi Ji, Xuanyi Liu +5

Large language models for subjectivity analysis are typically trained with aggregated labels, which compress variations in human judgment into a single supervision signal. This par…

cs.CL2026

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring

Deyi Ji, Junyu Lu, Xuanyi Liu +7

Online advertising governance faces significant challenges due to the non-stationary nature of regulatory policies, where emerging mandates (e.g., restrictions on education or aest…

cs.CV2026

4DVGGT-D: 4D Visual Geometry Transformer with Improved Dynamic Depth Estimation

Ying Zang, Xuanyi Liu, Yidong Han +9

Reconstructing dynamic 4D scenes from monocular videos is a fundamental yet challenging task. While recent 3D foundation models provide strong geometric priors, their performance s…

cs.CV2026

StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression

Xuanyi Liu, Chunan Yu, Deyi Ji +6

Reconstructing dense 3D geometry from continuous video streams requires stable inference under a constant memory budget. Existing frameworks primarily rely on a ``pure evict…

cs.CV2026

Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning

Xu Zhang, Jin Yuan, BinHong Yang +5

Recent advancements in multimodal large models have significantly bridged the representation gap between diverse modalities, catalyzing the evolution of video multimodal interpreta…

cs.CV2025

Unlocking the Power of SAM 2 for Few-Shot Segmentation

Qianxiong Xu, Lanyun Zhu, Xuanyi Liu +4

Few-Shot Segmentation (FSS) aims to learn class-agnostic segmentation on few classes to segment arbitrary classes, but at the risk of overfitting. To address this, some methods use…

cs.CV2025

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

Lanyun Zhu, Tianrun Chen, Qianxiong Xu +5

Existing LVLM-based reasoning segmentation methods often suffer from imprecise segmentation results and hallucinations in their text responses. This paper introduces POPEN, a novel…

cs.CV2024★ 2 cited

Hybrid Mamba for Few-Shot Segmentation

Qianxiong Xu, Xuanyi Liu, Lanyun Zhu +4

Many few-shot segmentation (FSS) methods use cross attention to fuse support foreground (FG) into query features, regardless of the quadratic complexity. A recent advance Mamba can…