8 papers
PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence
GuangJian Team, Kaili Huang, Yongshuo Zhang +22
Optical Character Recognition (OCR) is evolving from plain-text transcription toward general visual intelligence, requiring models to recognize, localize, and reason over textual i…
MECT: Mixture of Experts with CNN-Transformer Network for Speaker verification
Yu Zheng, Jinghan Peng, ChangHao Zhang +2
In this paper, we propose MECT, a speaker verification model that integrates the Mixture-of-Experts (MoE) mechanism into a CNN-Transformer backbone with optimized block structure a…
Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention
Siyu Wu, Linjing You, Junjie Zhu +9
World Action Models (WAMs) jointly predict future visual observations and actions, but visual futures alone often miss slip, jamming, contact-direction changes, and subtle misalign…
LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
Keda Tao, Yuhua Zheng, Jia Xu +13
Recent advancements in omnimodal large language models (OmniLLMs) have significantly improved the comprehension of audio and video inputs. However, current evaluations primarily fo…
ST-GDance: Long-Term and Collision-Free Group Choreography from Music
Jing Xu, Weiqiang Wang, Cunjian Chen +2
Group dance generation from music has broad applications in film, gaming, and animation production. However, it requires synchronizing multiple dancers while maintaining spatial co…
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
Jinhong Wang, Shuo Tong, Jian liu +7
Despite the remarkable progress of multimodal large language models (MLLMs), they continue to face challenges in achieving competitive performance on ordinal regression (OR; a.k.a.…
TextSleuth: Towards Explainable Tampered Text Detection
Chenfan Qu, Jian Liu, Haoxing Chen +4
Recently, tampered text detection has attracted increasing attention due to its essential role in information security. Although existing methods can detect the tampered text regio…
Scalable Autoregressive Monocular Depth Estimation
Jinhong Wang, Jian Liu, Dongqi Tang +5
This paper shows that the autoregressive model is an effective and scalable monocular depth estimator. Our idea is simple: We tackle the monocular depth estimation (MDE) task with…