activity
20222026
most citedFive A Network: You Only Need 9K Parameters for Underwater Image Enhancement

19 citations · 80 across the 40 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

cs.CV2024★ 10 cited

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Cheng-Yen Yang, Hsiang-Wei Huang, Wenhao Chai +2

The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing cro…

cs.CV2024

LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound

Xuechen Guo, Wenhao Chai, Shi-Yan Li +1

Multimodal Large Language Model (MLLM) has recently garnered attention as a prominent research focus. By harnessing powerful LLM, it facilitates a transition of conversational gene…

cs.CV2024

Ego3DT: Tracking Every 3D Object in Ego-centric Videos

Shengyu Hao, Wenhao Chai, Zhonghan Zhao +8

The growing interest in embodied intelligence has brought ego-centric perspectives to contemporary research. One significant challenge within this realm is the accurate localizatio…

cs.CV2024

Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check

Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang +6

In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surp…

cs.CV2024

RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark

Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan +5

Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applicati…

cs.CV2024

STEVE Series: Step-by-Step Construction of Agent Systems in Minecraft

Zhonghan Zhao, Wenhao Chai, Xuan Wang +7

Building an embodied agent system with a large language model (LLM) as its core is a promising direction. Due to the significant costs and uncontrollable factors associated with de…

cs.CV2024★ 2 cited

CityCraft: A Real Crafter for 3D City Generation

Jie Deng, Wenhao Chai, Junsheng Huang +9

City scene generation has gained significant attention in autonomous driving, smart city development, and traffic simulation. It helps enhance infrastructure planning and monitorin…

cs.CV2024★ 1 cited

MovieChat+: Question-aware Sparse Memory for Long Video Question Answering

Enxin Song, Wenhao Chai, Tian Ye +3

Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…

cs.AI2024

Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model

Zhonghan Zhao, Ke Ma, Wenhao Chai +6

With the power of large language models (LLMs), open-ended embodied agents can flexibly understand human instructions, generate interpretable guidance strategies, and output execut…

cs.CV2024★ 3 cited

MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection

Hou-I Liu, Christine Wu, Jen-Hao Cheng +8

Monocular 3D object detection (Mono3D) holds noteworthy promise for autonomous driving applications owing to the cost-effectiveness and rich visual context of monocular camera sens…

cs.CV2024★ 1 cited

VersaT2I: Improving Text-to-Image Models with Versatile Reward

Jianshu Guo, Wenhao Chai, Jie Deng +6

Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance. However, these T2I models still struggle to produce i…

cs.CV2024★ 1 cited

Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation

Zhonghan Zhao, Kewei Chen, Dongxu Guo +4

Due to the dynamic and unpredictable open-world setting, navigating complex environments in Minecraft poses significant challenges for multi-agent systems. Agents must interact wit…

cs.CV2024★ 3 cited

MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking

Hsiang-Wei Huang, Cheng-Yen Yang, Wenhao Chai +2

In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman filter for motion prediction, leveraging its strengths in linear motion scenarios. However…