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20242026
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cs.CV2026

Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual Evidence

Yuhan Wang, Shuochen Chang, Yalin Feng +8

Vision-language models (VLMs) have achieved strong performance on visual question answering (VQA). To mitigate individual hallucinations and blind spots, aggregating diverse perspe…

cs.CV2026

RAC: Rectified Flow Auto Coder

Sen Fang, Yalin Feng, Yanxin Zhang +1

In this paper, we propose a Rectified Flow Auto Coder (RAC) inspired by Rectified Flow to replace the traditional VAE: 1. It achieves multi-step decoding by applying the decoder to…

cs.CV2026

Stable Signer: Hierarchical Sign Language Generative Model

Sen Fang, Yalin Feng, Hongbin Zhong +2

Sign Language Production (SLP) is the process of converting the complex input text into a real video. Most previous works focused on the Text2Gloss, Gloss2Pose, Pose2Vid stages, an…

cs.CV2025

StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation

Sen Fang, Hongbin Zhong, Yalin Feng +2

New technologies such as Rectified Flow and Flow Matching have significantly improved the performance of generative models in the past two years, especially in terms of control acc…

cs.CV2024

Bridging the Gap between Text, Audio, Image, and Any Sequence: A Novel Approach using Gloss-based Annotation

Sen Fang, Sizhou Chen, Yalin Feng +2

This paper presents an innovative approach called BGTAI to simplify multimodal understanding by utilizing gloss-based annotation as an intermediate step in aligning Text and Audio…