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20242026
most citedAccelerating Non-Maximum Suppression: A Graph Theory Perspective

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2026

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction

Yuanhong Zhang, Zhaoyang Wang, Xin Zhang +2

Large Vision-Language Models (LVLMs) have achieved remarkable success across cross-modal tasks but remain hindered by hallucinations, producing textual outputs inconsistent with vi…

cs.CV2026

MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation

Xirui Hu, Yanbo Ding, Jiahao Wang +4

Character image animation, which synthesizes videos of reference characters driven by pose sequences, has advanced rapidly but remains largely limited to single-human settings. Exi…

cs.CV2025

EchoShot: Multi-Shot Portrait Video Generation

Jiahao Wang, Hualian Sheng, Sijia Cai +5

Video diffusion models substantially boost the productivity of artistic workflows with high-quality portrait video generative capacity. However, prevailing pipelines are primarily…

cs.CV2025

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective

Yuanhong Zhang, Muyao Yuan, Weizhan Zhang +4

The Segment Anything Model (SAM), a vision foundation model, exhibits impressive zero-shot capabilities in general tasks but struggles in specialized domains. Parameter-efficient f…

cs.CV2025

DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability

Xirui Hu, Jiahao Wang, Hao Chen +4

Recent advances in text-to-image generation have driven interest in generating personalized human images that depict specific identities from reference images. Although existing me…

cs.CV2024

SpotActor: Training-Free Layout-Controlled Consistent Image Generation

Jiahao Wang, Caixia Yan, Weizhan Zhang +6

Text-to-image diffusion models significantly enhance the efficiency of artistic creation with high-fidelity image generation. However, in typical application scenarios like comic b…

cs.CV2024★ 1 cited

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

King-Siong Si, Lu Sun, Weizhan Zhang +4

Non-maximum suppression (NMS) is an indispensable post-processing step in object detection. With the continuous optimization of network models, NMS has become the ``last mile'' to…

cs.CV2024

OneActor: Consistent Character Generation via Cluster-Conditioned Guidance

Jiahao Wang, Caixia Yan, Haonan Lin +5

Text-to-image diffusion models benefit artists with high-quality image generation. Yet their stochastic nature hinders artists from creating consistent images of the same subject.…