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20242026
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cs.CV2026

Agentic Visual Generation: From Generative Models to Agentic Control

Yinming Huang, Shuyuan Tu, Xi Yan +7

Visual generation is evolving from generative models used through a single invocation into agentic control processes that can plan, select tools, inspect intermediate synthesized o…

cs.CV2026

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing

Jiahe Fan, Shaolong Shu, Mingjian Sun +4

Reliable driving scene parsing is a fundamental capability for autonomous vehicles operating in open and dynamic driving environments. However, adapting perception models to new de…

cs.CV2026

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models

Tingshu Mou, Jiabo He, Renying Wang +5

Recent advances in Multi-modal Large Language Models (MLLMs) target 3D spatial intelligence, yet the progress has been largely driven by post-training on curated benchmarks, leavin…

cs.CV2025

SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models

Ye Sun, Hao Zhang, Henghui Ding +3

Achieving fine-grained spatio-temporal understanding in videos remains a major challenge for current Video Large Multimodal Models (Video LMMs). Addressing this challenge requires…

cs.CV2024

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation

Ye Sun, Hao Zhang, Tiehua Zhang +2

Image segmentation is a crucial vision task that groups pixels within an image into semantically meaningful segments, which is pivotal in obtaining a fine-grained understanding of…