ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
Paper • 2411.16044 • Published • 2
OmAI Research
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OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding
Paper • 2407.04923 • Published • 2 -
OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
Paper • 2209.05946 • Published • 2 -
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Paper • 2207.00221 • Published • 2 -
GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection
Paper • 2312.15043 • Published • 2 -
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
Paper • 2308.13177 • Published • 1 -
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head
Paper • 2403.06892 • Published • 2 -
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Paper • 2306.11300 • Published • 2 -
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Paper • 2406.16620 • Published • 3 -
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Paper • 2504.07615 • Published • 36 -
VLX-Go: Robust Embodied Tracking through Multi-Stage Learning and On-Policy Refinement
Paper • 2610.19361 • Published • 1 -
TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding
Paper • 2609.30670 • Published • 11 -
Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models
Paper • 2605.28132 • Published • 20 -
VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
Paper • 2509.25916 • Published • 6