most citedUNIT: Unifying Image and Text Recognition in One Vision Encoder

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL2025

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

MiroMind Team, Song Bai, Lidong Bing +52

We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale…

cs.CV2025

UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding

Yueming Xu, Jiahui Zhang, Ze Huang +12

Despite the impressive progress on understanding and generating images shown by the recent unified architectures, the integration of 3D tasks remains challenging and largely unexpl…

cs.CV2025

Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs

Haoyuan Li, Yanpeng Zhou, Yufei Gao +7

Remarkable progress in 2D Vision-Language Models (VLMs) has spurred interest in extending them to 3D settings for tasks like 3D Question Answering, Dense Captioning, and Visual Gro…

cs.CV2025

4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration

Jiahui Zhang, Yurui Chen, Yueming Xu +8

Leveraging diverse robotic data for pretraining remains a critical challenge. Existing methods typically model the dataset's action distribution using simple observations as inputs…

cs.CV2025

From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

Jiahui Zhang, Yurui Chen, Yanpeng Zhou +10

Recent advances in LVLMs have improved vision-language understanding, but they still struggle with spatial perception, limiting their ability to reason about complex 3D scenes. Unl…

cs.CV2025

UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting

Haoyuan Li, Yanpeng Zhou, Tao Tang +5

Recent advancements in multi-modal 3D pre-training methods have shown promising efficacy in learning joint representations of text, images, and point clouds. However, adopting poin…

cs.CV2025

VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation

Sixiao Zheng, Zimian Peng, Yanpeng Zhou +4

Controllable image-to-video (I2V) generation transforms a reference image into a coherent video guided by user-specified control signals. While precise control over camera motion,…

cs.CV2024★ 1 cited

UNIT: Unifying Image and Text Recognition in One Vision Encoder

Yi Zhu, Yanpeng Zhou, Chunwei Wang +4

Currently, vision encoder models like Vision Transformers (ViTs) typically excel at image recognition tasks but cannot simultaneously support text recognition like human visual rec…

cs.CV2024

GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data

Haoyuan Li, Yanpeng Zhou, Yihan Zeng +2

3D Shape represented as point cloud has achieve advancements in multimodal pre-training to align image and language descriptions, which is curial to object identification, classifi…