activity
20192026
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 966 across the 51 of their papers we have counts for

collaborators
Showing 2024Show all

12 papers · 1 filter

cs.CV2024★ 1 cited

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

Pan Zhang, Xiaoyi Dong, Yuhang Cao +26

Creating AI systems that can interact with environments over long periods, similar to human cognition, has been a longstanding research goal. Recent advancements in multimodal larg…

cs.CV2024

MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Ziyu Liu, Yuhang Zang, Xiaoyi Dong +7

Visual preference alignment involves training Large Vision-Language Models (LVLMs) to predict human preferences between visual inputs. This is typically achieved by using labeled d…

cs.CV2024★ 1 cited

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Qidong Huang, Xiaoyi Dong, Pan Zhang +6

We present the Modality Integration Rate (MIR), an effective, robust, and generalized metric to indicate the multi-modal pre-training quality of Large Vision Language Models (LVLMs…

cs.CV2024

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Long Xing, Qidong Huang, Xiaoyi Dong +8

In large vision-language models (LVLMs), images serve as inputs that carry a wealth of information. As the idiom "A picture is worth a thousand words" implies, representing a singl…

cs.CV2024

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Shuangrui Ding, Rui Qian, Xiaoyi Dong +6

The Segment Anything Model 2 (SAM 2) has emerged as a powerful foundation model for object segmentation in both images and videos, paving the way for various downstream video appli…

cs.CV2024

ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a Training-free Way

Jiazi Bu, Pengyang Ling, Pan Zhang +6

The text-to-video (T2V) generation models, offering convenient visual creation, have recently garnered increasing attention. Despite their substantial potential, the generated vide…

cs.AR2024

A General-Purpose Device for Interaction with LLMs

Jiajun Xu, Qun Wang, Yuhang Cao +2

This paper investigates integrating large language models (LLMs) with advanced hardware, focusing on developing a general-purpose device designed for enhanced interaction with LLMs…

cs.CV2024★ 3 cited

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Pan Zhang, Xiaoyi Dong, Yuhang Zang +24

We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that supports long-contextual input and output. IXC-2.5 excels in various text-image comprehens…

cs.CV2024

V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results

Jiaqi Wang, Yuhang Zang, Pan Zhang +31

Detecting objects in real-world scenes is a complex task due to various challenges, including the vast range of object categories, and potential encounters with previously unknown…

cs.CV2024★ 7 cited

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Xiaoyi Dong, Pan Zhang, Yuhang Zang +21

The Large Vision-Language Model (LVLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due…

cs.CV2024

DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models

Yuhang Cao, Pan Zhang, Xiaoyi Dong +2

We present DualFocus, a novel framework for integrating macro and micro perspectives within multi-modal large language models (MLLMs) to enhance vision-language task performance. C…

cs.CV2024★ 11 cited

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Xiaoyi Dong, Pan Zhang, Yuhang Zang +20

We introduce InternLM-XComposer2, a cutting-edge vision-language model excelling in free-form text-image composition and comprehension. This model goes beyond conventional vision-l…