no code implementations • 16 Apr 2024 • Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-yan Yeung, Huchuan Lu, Xu Jia
Moreover, with our CODA-LM, we build CODA-VLM, a new driving LVLM surpassing all open-sourced counterparts on CODA-LM.
no code implementations • 28 Feb 2023 • Xianglong Lang, Zhuming Wang, Zun Li, Meng Tian, Ge Shi, Lifang Wu, Liang Wang
Specifically, the framework consists of a Visual Representation Module to extract individual appearance features, a Knowledge Augmented Semantic Relation Module explore semantic representations of individual actions, and a Knowledge-Semantic-Visual Interaction Module aims to integrate visual and semantic information by the knowledge.
no code implementations • 7 Mar 2022 • Meng Tian, Gim Hee Lee
Specifically, we assign a set of arbitrarily chosen 3D keypoints to represent each unknown target 3D object and learn a network to detect their 2D projections that comply with the relative camera viewpoints.
2 code implementations • 19 Aug 2021 • Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, Xianpei Wang
The inaccessibility of reference videos with pristine quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality assessment (BVQA) task.
Ranked #4 on
Video Quality Assessment
on MSU NR VQA Database
1 code implementation • 1 Nov 2020 • Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring
To train and validate the effectiveness of our DNN-based module, we propose a large-scale retinal disease image dataset.
2 code implementations • ECCV 2020 • Meng Tian, Marcelo H. Ang Jr, Gim Hee Lee
We present a novel learning approach to recover the 6D poses and sizes of unseen object instances from an RGB-D image.
1 code implementation • 29 Feb 2020 • Meng Tian, Liang Pan, Marcelo H. Ang Jr, Gim Hee Lee
Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping.
1 code implementation • 11 Feb 2019 • Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegner
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal disease which may result in loss of vision.
1 code implementation • 16 Aug 2018 • C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, I-Hung Lin, Yi-Chieh Liu, Hao-Hsiang Yang, Jesper Tegner
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.
no code implementations • 2 Jul 2018 • Xinhan Di, Pengqian Yu, Meng Tian
In this paper, we extend the ambient module to the hidden space of the generator, and provide the uniqueness condition and the corresponding strategy for the ambient hidden generator in the adversarial training process.
no code implementations • 1 Jul 2018 • Xinhan Di, Pengqian Yu, Meng Tian
It has been demonstrated that deep neural networks are prone to noisy examples particular adversarial samples during inference process.