activity
20242026
most citedTraining-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

One Ring to Rule Them All: Unifying Group-Based RL via Dynamic Power-Mean Geometry

Weisong Zhao, Tong Wang, Zichang Tan +11

Group-based reinforcement learning has evolved from the arithmetic mean of GRPO to the geometric mean of GMPO. While GMPO improves stability by constraining a conservative objectiv…

cs.CV2025

EEA: Exploration-Exploitation Agent for Long Video Understanding

Te Yang, Xiangyu Zhu, Bo Wang +3

Long-form video understanding requires efficient navigation of extensive visual data to pinpoint sparse yet critical information. Current approaches to longform video understanding…

cs.CV2024

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy

Te Yang, Jian Jia, Xiangyu Zhu +9

Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) hav…

cs.CV2024★ 4 cited

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation

Shengyuan Liu, Bo Wang, Ye Ma +6

Existing subject-driven text-to-image generation models suffer from tedious fine-tuning steps and struggle to maintain both text-image alignment and subject fidelity. For generatin…

cs.CV2024★ 2 cited

Knowledge Condensation and Reasoning for Knowledge-based VQA

Dongze Hao, Jian Jia, Longteng Guo +8

Knowledge-based visual question answering (KB-VQA) is a challenging task, which requires the model to leverage external knowledge for comprehending and answering questions grounded…