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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding

Haiyue Zhang, Yi Bin, Xun Jiang +5

VisualRouter is a training-free, plug‑and‑play framework that classifies queries as global or local and applies tailored visual sampling strategies to select informative frames, im…

cs.CV2026

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance

Haoxi Zeng, Qiankun Liu, Yi Bin +5

Open-Vocabulary Segmentation (OVS) aims to segment image regions beyond predefined category sets by leveraging semantic descriptions. While CLIP based approaches excel in semantic…

cs.CL2026

Explore Briefly, Then Decide: Mitigating LLM Overthinking via Cumulative Entropy Regulation

Yi Bin, Tianyi Jiang, Yujuan Ding +5

Large Language Models (LLMs) have demonstrated remarkable reasoning abilities on complex problems using long Chain-of-Thought (CoT) reasoning. However, they often suffer from overt…

cs.CV2026

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation

Weijia Dou, Xu Zhang, Yi Bin +5

Recent attempts to transfer features from 2D Vision-Language Models (VLMs) to 3D semantic segmentation expose a persistent trade-off. Directly projecting 2D features into 3D yields…

cs.CV2025

HarmoCLIP: Harmonizing Global and Regional Representations in Contrastive Vision-Language Models

Haoxi Zeng, Haoxuan Li, Yi Bin +4

Contrastive Language-Image Pre-training (CLIP) has demonstrated remarkable generalization ability and strong performance across a wide range of vision-language tasks. However, due…

cs.CL2025

More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration

Xiaoyang Yuan, Yujuan Ding, Yi Bin +5

Reinforcement Learning with Verifiable Rewards (RLVR) is a promising paradigm for enhancing the reasoning ability in Large Language Models (LLMs). However, prevailing methods prima…