Search Results for author: Min Tan

Found 12 papers, 7 papers with code

RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry

1 code implementation IEEE ROBOTICS AND AUTOMATION LETTERS 2023 Yanfeng Zhang, Yunong Tian, Wanguo Wang, Guodong Yang, Zhishuo Li, Fengshui Jing, Min Tan

The searched nearest neighbor point is used to render a sparse reflectivity image after LiDAR motion distortion information is given by its corresponding raw point.

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

1 code implementation ACL 2020 Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.

Machine Translation Translation +1

TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation

1 code implementation7 Nov 2020 Yujia Zhang, Qianzhong Li, Xiaoguang Zhao, Min Tan

It consists of three streams fusing the low-level spatial and the high-level contextual representations as well as the detailed boundary information.

RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary Object

1 code implementation27 Apr 2023 Shiyu Xing, Fengshui Jing, Min Tan

RegHEC is a registration-based hand-eye calibration technique with no need for accurate calibration rig but arbitrary available objects, applicable for both eye-in-hand and eye-to-hand cases.

Bayesian Optimization Motion Estimation +2

A Unified Instance Segmentation Framework for Completely Occluded Objects and Dense Objects in Robot Vision Measurement

1 code implementation16 Jan 2024 Zhen Zhou, Junfeng Fan, Yunkai Ma, Sihan Zhao, Fengshui Jing, Min Tan

In addition, since OBBs only serve as prompts, CFNet alleviates the over-dependence on bounding box detection performance of current instance segmentation methods using OBBs for dense objects.

Amodal Instance Segmentation Knowledge Distillation +3

Dilated Temporal Relational Adversarial Network for Generic Video Summarization

no code implementations30 Apr 2018 Yu-jia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Specifically, DTR-GAN learns a dilated temporal relational generator and a discriminator with three-player loss in an adversarial manner.

Generative Adversarial Network Video Summarization +1

Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder

no code implementations2 Jan 2018 Yu-jia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day, and the underlying fine-grained semantic and motion information (i. e., objects of interest and their key motions) in online videos has been barely touched.

Object Unsupervised Video Summarization

HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration

no code implementations6 Jul 2021 Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Min Tan, Junzhi Yu

Experimental results show that the proposed method can be used to perform high-quality restoration of unconstrained underwater images without supervision.

Underwater Image Restoration

Automatic Facial Skin Feature Detection for Everyone

no code implementations30 Mar 2022 Qian Zheng, Ankur Purwar, Heng Zhao, Guang Liang Lim, Ling Li, Debasish Behera, Qian Wang, Min Tan, Rizhao Cai, Jennifer Werner, Dennis Sng, Maurice van Steensel, Weisi Lin, Alex C Kot

We present an automatic facial skin feature detection method that works across a variety of skin tones and age groups for selfies in the wild.

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