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cs.CV2026

TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

Chunxia Qin, Chenyu Liu, Pengcheng Xia +4

Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analysis. Existing modular TR pipelines separately model table structure and…

cs.CV2026

RieMind: Geometry-Grounded Spatial Agent for Scene Understanding

Fernando Ropero, Erkin Turkoz, Daniel Matos +6

Visual Language Models (VLMs) have increasingly become the main paradigm for understanding indoor scenes, but they still struggle with metric and spatial reasoning. Current approac…

cs.CV2026

REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation

Haotian Wang, Yuzhe Weng, Jun Du +6

Diffusion models have significantly advanced the field of talking head generation (THG). However, slow inference speeds and prevalent non-autoregressive paradigms severely constrai…

cs.CV2025

Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation

An Yang, Chenyu Liu, Jun Du +6

3D Gaussian Splatting (3D-GS) has emerged as an efficient 3D representation and a promising foundation for semantic tasks like segmentation. However, existing 3D-GS-based segmentat…

cs.CV2025

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition

Chenyu Liu, Jinshui Hu, Baocai Yin +4

Online Handwritten Text Recognition (OLHTR) has gained considerable attention for its diverse range of applications. Current approaches usually treat OLHTR as a sequence recognitio…