activity
20242026
most citedSemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector

2 citations · 2 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CV2026

EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing

Jiayi Song, Shijie Huang, Fangtai Wu +5

High-resolution image editing is increasingly demanded in professional workflows, yet existing diffusion-based models remain constrained to resolutions below 1K due to quadratic at…

cs.CV2026

UniSwap: Streaming Audio-Visual Identity Swapping for Talking Videos

Yuxuan Zhang, Haozhong Xiong, Jiayi Song +5

Talking-video character replacement requires coordinated transfer of appearance and voice while preserving the source motion, scene, linguistic content, and audio-video timing. Exi…

cs.CV2026

LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time

Yuxuan Zhang, Haozhong Xiong, Yubo Huang +6

Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose stream. Real-time generation is essential for interactive applic…

cs.AI2026

Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Jiayu Wang, Weijiang Lv, Bowen Fu +8

As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…

cs.CV2026

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation

Fangtai Wu, Hailong Guo, Shijie Huang +7

Customized image editing aims to equip pre-trained diffusion models with specific visual effects using limited paired data, typically via Low-Rank Adaptation (LoRA). As the number…

cs.CV2025

FreeSwim: Revisiting Sliding-Window Attention Mechanisms for Training-Free Ultra-High-Resolution Video Generation

Yunfeng Wu, Jiayi Song, Zhenxiong Tan +2

The quadratic time and memory complexity of the attention mechanism in modern Transformer based video generators makes end-to-end training for ultra high resolution videos prohibit…

cs.CV2025

ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks

Ruixun Liu, Bowen Fu, Jiayi Song +7

Ultra-high-resolution (UHR) remote sensing (RS) images offer rich fine-grained information but also present challenges in effective processing. Existing dynamic resolution and toke…

cs.CV2025

Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion

Qingguo Hu, Ante Wang, Jia Song +3

Large Vision-Language Models (LVLMs) have experienced significant advancements in recent years. However, their performance still falls short in tasks requiring deep visual percepti…

cs.CV2025

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation

Jiayi Song, Kaiyu Li, Xiangyong Cao +1

Semantic segmentation in remote sensing images is crucial for various applications, yet its performance is heavily reliant on large-scale, high-quality pixel-wise annotations, whic…

cs.CV2025

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

Tianyi Bai, Yuxuan Fan, Jiantao Qiu +7

Multimodal large language models (MLLMs) have achieved strong performance on vision-language tasks but still struggle with fine-grained visual differences, leading to hallucination…

cs.CV2024

MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption

Ruixun Liu, Kaiyu Li, Jiayi Song +2

Remote sensing image change caption (RSICC) aims to provide natural language descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task requires both spatia…

cs.CV2024★ 2 cited

SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector

Kaiyu Li, Xiangyong Cao, Yupeng Deng +4

Change Detection (CD) aims to identify pixels with semantic changes between images. However, annotating massive numbers of pixel-level images is labor-intensive and costly, especia…