no code implementations • ECCV 2020 • Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li
Depth completion is a widely studied problem of predicting a dense depth map from a sparse set of measurements and a single RGB image.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2022 • Kewei Wang, Shuaiyuan Du, Chengxin Liu, Zhiguo Cao
Motivated by the fact that pixels from targets or backgrounds are correlated to each other, we propose a coarse-to-fine interior attention-aware network (IAANet) for infrared small target detection.
no code implementations • 16 Mar 2022 • Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao
In this work, we propose a similarity-aware CAC framework that jointly learns representation and similarity metric.
1 code implementation • CVPR 2021 • Chaoyi Hong, Shuaiyuan Du, Ke Xian, Hao Lu, Zhiguo Cao, Weicai Zhong
To this end, we introduce the concept of the key composition map (KCM) to encode the composition rules.
no code implementations • 17 May 2021 • Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide
While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device inference.
no code implementations • ICCV 2021 • Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao Lu, Weicai Zhong
We show that relation modeling between visual elements matters in cropping view recommendation.
no code implementations • 10 Nov 2020 • Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Qian Zhang, Yanning Zhang, Zhiguo Cao
This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration.
no code implementations • 10 Nov 2020 • Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results.
no code implementations • 21 Jul 2020 • Jiaqi Yang, Jiahao Chen, Zhiqiang Huang, Siwen Quan, Yanning Zhang, Zhiguo Cao
We present a simple yet effective method for 3D correspondence grouping.
1 code implementation • ECCV 2020 • Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen
Inspired by scale weighing, we propose a novel 'counting scale' termed LibraNet where the count value is analogized by weight.
1 code implementation • 11 Jul 2020 • Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxi Wu
Embedding RMML into the proposed ECML mechanism, our metric learning paradigm (EC-RMML) can run in the one-pass learning manner.
2 code implementations • CVPR 2020 • Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao
Specifically, we first sample seeds from the point clouds in template and search area respectively.
1 code implementation • CVPR 2020 • Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan
Each available 3DV voxel intrinsically involves 3D spatial and motion feature jointly.
no code implementations • ECCV 2020 • Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yun-hui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim
To address these issues, we designed a public challenge (HANDS'19) to evaluate the abilities of current 3D hand pose estimators (HPEs) to interpolate and extrapolate the poses of a training set.
no code implementations • 22 Jan 2020 • Angfan Zhu, Jiaqi Yang, Weiyue Zhao, Zhiguo Cao
The local reference frame (LRF) acts as a critical role in 3D local shape description and matching.
3 code implementations • 7 Jan 2020 • Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao
Visual counting, a task that aims to estimate the number of objects from an image/video, is an open-set problem by nature, i. e., the number of population can vary in [0, inf) in theory.
1 code implementation • 1 Nov 2019 • Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li
To the best of our knowledge, this work is the first principled approach toward adaptively combining global and local information under the context of RI point cloud analysis.
no code implementations • 3 Sep 2019 • Chen Zhao, Jiaqi Yang, Ke Xian, Zhiguo Cao, Xin Li
Matching corresponding features between two images is a fundamental task to computer vision with numerous applications in object recognition, robotics, and 3D reconstruction.
2 code implementations • ICCV 2019 • Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan
For 3D hand and body pose estimation task in depth image, a novel anchor-based approach termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is proposed.
Ranked #1 on
Depth Estimation
on NYU-Depth V2
(mAP metric)
4 code implementations • ICCV 2019 • Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen
A dense region can always be divided until sub-region counts are within the previously observed closed set.
Ranked #4 on
Crowd Counting
on ShanghaiTech A
1 code implementation • 30 Apr 2019 • Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao
Correspondence selection aiming at seeking correct feature correspondences from raw feature matches is pivotal for a number of feature-matching-based tasks.
no code implementations • 27 Apr 2019 • Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao
This paper presents a simple yet very effective data-driven approach to fuse both low-level and high-level local geometric features for 3D rigid data matching.
1 code implementation • CVPR 2019 • Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang
Feature correspondence selection is pivotal to many feature-matching based tasks in computer vision.
no code implementations • 21 Feb 2019 • Guilei Hu, Yang Xiao, Zhiguo Cao, Lubin Meng, Zhiwen Fang, Joey Tianyi Zhou, Junsong Yuan
Effective and real-time eyeblink detection is of wide-range applications, such as deception detection, drive fatigue detection, face anti-spoofing, etc.
1 code implementation • 29 Jul 2018 • Fu Xiong, Yang Xiao, Zhiguo Cao, Kaicheng Gong, Zhiwen Fang, Joey Tianyi Zhou
Person re-identification is indeed a challenging visual recognition task due to the critical issues of human pose variation, human body occlusion, camera view variation, etc.
1 code implementation • 11 Jul 2018 • Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang
However, robust depth prediction suffers from two challenging problems: a) How to extract more discriminative features for different scenes (compared to a single scene)?
1 code implementation • 29 Jun 2018 • Yang Xiao, Jun Chen, Yancheng Wang, Zhiguo Cao, Joey Tianyi Zhou, Xiang Bai
To better exploit three-dimensional (3D) characteristics, multi-view dynamic images are proposed.
no code implementations • 2 Jun 2018 • Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao, Shugong Xu
In this paper, we propose to improve the performance of metric depth estimation with relative depths collected from stereo movie videos using existing stereo matching algorithm.
no code implementations • CVPR 2018 • Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo
In this paper we study the problem of monocular relative depth perception in the wild.
no code implementations • 6 Apr 2018 • Jiaqi Yang, Ke Xian, Yang Xiao, Zhiguo Cao
This paper presents a thorough evaluation of several widely-used 3D correspondence grouping algorithms, motived by their significance in vision tasks relying on correct feature correspondences.
1 code implementation • ICCV 2017 • Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton Van Den Hengel
Domain adaption (DA) allows machine learning methods trained on data sampled from one distribution to be applied to data sampled from another.
no code implementations • 7 Jul 2017 • Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen
To our knowledge, this is the first time that a plant-related counting problem is considered using computer vision technologies under unconstrained field-based environment.