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cs.CV2026

PartCo: Part-Level Correspondence Priors Enhance Category Discovery

Fernando Julio Cendra, Kai Han

Generalized Category Discovery (GCD) aims to identify both known and novel categories within unlabeled data by leveraging a set of labeled examples from known categories. Existing…

cs.CV2026

Multimodal Latent Reasoning via Hierarchical Visual Cues Injection

Yiming Zhang, Qiangyu Yan, Borui Jiang +1

The advancement of multimodal large language models (MLLMs) has enabled impressive perception capabilities. However, their reasoning process often remains a "fast thinking" paradig…

cs.CV2025

When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework

Haoyu Liu, Chaoyu Gong, Mengke He +3

The proliferation of generative video models has made detecting AI-generated and manipulated videos an urgent challenge. Existing detection approaches often fail to generalize acro…

cs.CV2025

HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices

HyperAI Team, Yuchen Liu, Kaiyang Han +26

Current multimodal large lanauge models possess strong perceptual and reasoning capabilities, however high computational and memory requirements make them difficult to deploy direc…

cs.CV2025

VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models

Silin Cheng, Kai Han

Vision-language models (VLMs), such as CLIP, have shown strong generalization under zero-shot settings, yet adapting them to downstream tasks with limited supervision remains a sig…

cs.CV2025

MOGRAS: Human Motion with Grasping in 3D Scenes

Kunal Bhosikar, Siddharth Katageri, Vivek Madhavaram +2

Generating realistic full-body motion interacting with objects is critical for applications in robotics, virtual reality, and human-computer interaction. While existing methods can…