activity
20142025
most citedDeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

134 citations · 693 across the 62 of their papers we have counts for

collaborators

62 papers

cs.GR20252 cited

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes

Yuhan Wang, Weikai Chen, Zeyu Hu +19

In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction o…

cs.CV2025

MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook

Peng Xu, Shengwu Xiong, Jiajun Zhang +125

This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…

cs.CV2025

Half-Physics: Enabling Kinematic 3D Human Model with Physical Interactions

Li Siyao, Yao Feng, Omid Taheri +2

While current general-purpose 3D human models (e.g., SMPL-X) efficiently represent accurate human shape and pose, they lacks the ability to physically interact with the environment…

cs.CV2025

Enhanced Generative Structure Prior for Chinese Text Image Super-resolution

Xiaoming Li, Wangmeng Zuo, Chen Change Loy

Faithful text image super-resolution (SR) is challenging because each character has a unique structure and usually exhibits diverse font styles and layouts. While existing methods…

cs.CV2025

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation

Size Wu, Zhonghua Wu, Zerui Gong +5

In this report, we present OpenUni, a simple, lightweight, and fully open-source baseline for unifying multimodal understanding and generation. Inspired by prevailing practices in…

cs.CV20241 cited

Eliminating Feature Ambiguity for Few-Shot Segmentation

Qianxiong Xu, Guosheng Lin, Chen Change Loy +3

Recent advancements in few-shot segmentation (FSS) have exploited pixel-by-pixel matching between query and support features, typically based on cross attention, which selectively…