collaborators

6 papers

cs.AI2026

AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for Agriculture

Yibin Wen, Qingmei Li, Zi Ye +14

Recent advancements in Vision-Language Models (VLMs) have significantly impacted various industries. In agriculture, these multimodal capabilities hold great promise for applicatio…

cs.RO2026

MiMo-Embodied: X-Embodied Foundation Model Technical Report

Xiaoshuai Hao, Lei Zhou, Zhijian Huang +41

We open-source MiMo-Embodied, the first cross-embodied foundation model to successfully integrate and achieve state-of-the-art performance in both Autonomous Driving and Embodied A…

cs.CV2026

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding

Xuezhen Tu, Jingyu Wu, Fangyu Kang +4

Spatio-Temporal Video Grounding requires jointly localizing target objects across both temporal and spatial dimensions based on natural language queries, posing fundamental challen…

cs.CV2026

VISTA: Enhancing Visual Conditioning via Track-Following Preference Optimization in Vision-Language-Action Models

Yiye Chen, Yanan Jian, Xiaoyi Dong +5

Vision-Language-Action (VLA) models have demonstrated strong performance across a wide range of robotic manipulation tasks. Despite the success, extending large pretrained Vision-L…

cs.CV2026

OS-Marathon: Benchmarking Computer-Use Agents on Long-Horizon Repetitive Tasks

Jing Wu, Daphne Barretto, Yiye Chen +4

Long-horizon, repetitive workflows are common in professional settings, such as processing expense reports from receipts and entering student grades from exam papers. These tasks a…

cs.CV2025

OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios

Hong Gao, Jingyu Wu, Xiangkai Xu +5

Spatio-Temporal Video Grounding (STVG) aims to localize target objects in videos based on natural language descriptions. Despite recent advances in Multimodal Large Language Models…