Zixu Cheng — accepted AI-conference papers

2025

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation

IJCAI 2025

Task-generic promptable image segmentation aims to achieve segmentation of diverse samples under a single task description by utilizing only one task-generic prompt. Current methods leverage the generalization capabilities of Vision-Language Models (VLMs) to infer instance-specific prompts from thes

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding

Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye HAO, Jun Wang +1

NeurIPS 2025poster

Video Temporal Grounding (TG) aims to temporally locate video segments matching a natural language description (a query) in a long video. While Vision-Language Models (VLMs) are effective at holistic semantic matching, they often struggle with fine-grained temporal localisation. Recently, Group Rela…

Cited by 0 Source ↗Scholar ↗