activity
20242026
collaborators

10 papers

cs.CV2026

SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents

Yu Yang, Yue Liao, Jianbiao Mei +11

Long-horizon action-conditioned video generation aims to synthesize temporally coherent videos that follow complex action instructions over extended horizons, requiring procedural…

cs.CV2026

Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning

Qingdong He, Xueqin Chen, Chaoyi Wang +7

Instruction-based image editing (IIE) has advanced rapidly with the success of diffusion models. However, existing efforts primarily focus on simple and explicit instructions to ex…

cs.CV2026

Point-In-Context: Understanding Point Cloud via In-Context Learning

Mengyuan Liu, Zhongbin Fang, Xia Li +4

The rise of large-scale models has catalyzed in-context learning as a powerful approach for multitasking, particularly in natural language and image processing. However, its applic…

cs.CV2025

AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding

Zhucun Xue, Jiangning Zhang, Xurong Xie +4

Multimodal Large Language Models (MLLMs) perform well in video understanding but degrade on long videos due to fixed-length context and weak long-term dependency modeling. Retrieva…

cs.CV2025

DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation

Qingdong He, Jinlong Peng, Pengcheng Xu +8

To enhance the controllability of text-to-image diffusion models, current ControlNet-like models have explored various control signals to dictate image attributes. However, existin…

cs.CV2025

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection

Yuhu Bai, Jiangning Zhang, Yunkang Cao +4

With the advent of vision-language models (e.g., CLIP) in zero- and few-shot settings, CLIP has been widely applied to zero-shot anomaly detection (ZSAD) in recent research, where…