no code implementations • 25 Apr 2024 • Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, HaoNing Wu, Yixuan Gao, Yuqin Cao, ZiCheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao
A total of 196 participants have registered in the video track.
1 code implementation • 17 Apr 2024 • Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, HaoNing Wu, ZiCheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei LI, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, WangMeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, huimin zheng, JunHao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
1 code implementation • 13 Mar 2024 • Yihao Liu, Feng Xue, Anlong Ming
Third, to reduce the reliance on massive training data, we propose a ``divide and conquer" solution.
no code implementations • 11 Mar 2024 • Runze Guo, Feng Xue, Anlong Ming, Nicu Sebe
Recently, neural networks (NN) have made great strides in combinatorial optimization.
no code implementations • 11 Mar 2024 • Shuaikang Shang, Xuejing Kang, Anlong Ming
High Dynamic Range (HDR) imaging aims to generate an artifact-free HDR image with realistic details by fusing multi-exposure Low Dynamic Range (LDR) images.
1 code implementation • 2 Jan 2024 • Feng Xue, Yicong Chang, Tianxi Wang, Yu Zhou, Anlong Ming
Note that obstacle and reflection can be separated by the ground plane in 3D space.
1 code implementation • CVPR 2023 • Wenteng Liang, Feng Xue, Yihao Liu, Guofeng Zhong, Anlong Ming
The recently proposed open-world object and open-set detection have achieved a breakthrough in finding never-seen-before objects and distinguishing them from known ones.
Ranked #1 on Open World Object Detection on COCO-OOD
no code implementations • 27 Feb 2023 • Pengxiang Xiao, Shuai He, Limin Liu, Anlong Ming
However, especially for many severely distorted images, even if there is an undistorted image as a reference (FR-IQA), it is difficult to perceive the lost semantic and texture information of distorted images directly.
1 code implementation • ICCV 2023 • Shuai He, Anlong Ming, Yaqi Li, Jinyuan Sun, Shuntian Zheng, Huadong Ma
We present a comprehensive study on a new task named image color aesthetics assessment (ICAA), which aims to assess color aesthetics based on human perception.
no code implementations • 14 Apr 2022 • Tianxi Wang, Feng Xue, Yu Zhou, Anlong Ming
Moreover, we further apply the proposed MARF to the people detection and tracking system, achieving a considerable gain in all metrics.
1 code implementation • 9 Mar 2022 • Yicong Chang, Feng Xue, Fei Sheng, Wenteng Liang, Anlong Ming
The high performance of RGB-D based road segmentation methods contrasts with their rare application in commercial autonomous driving, which is owing to two reasons: 1) the prior methods cannot achieve high inference speed and high accuracy in both ways; 2) the different properties of RGB and depth data are not well-exploited, limiting the reliability of predicted road.
1 code implementation • 9 Mar 2022 • Fei Sheng, Feng Xue, Yicong Chang, Wenteng Liang, Anlong Ming
In this paper, we model the majority of accuracy contrast between them as the difference of depth distribution, which we call "Distribution drift".
1 code implementation • 17 Nov 2021 • Feng Xue, Anlong Ming, Yu Zhou
Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera.
1 code implementation • ICCV 2021 • Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image.
1 code implementation • 26 Feb 2021 • Feng Xue, Junfeng Cao, Yu Zhou, Fei Sheng, Yankai Wang, Anlong Ming
However, two issues remain unresolved: (1) The deep feature encodes the wrong farthest region in a scene, which leads to a distorted 3D structure of the predicted depth; (2) The low-level features are insufficient utilized, which makes it even harder to estimate the depth near the edge with sudden depth change.
no code implementations • 26 Nov 2019 • Panhe Feng, Xuejing Kang, Lizhu Ye, Lei Zhu, Chunpeng Li, Anlong Ming
Besides, considering the restriction of occlusion orientation presentation to occlusion orientation learning, we design a new orthogonal representation for occlusion orientation and proposed the Orthogonal Orientation Regression loss which can get rid of the unfitness between occlusion representation and learning and further prompt the occlusion orientation learning.
1 code implementation • ICCV 2019 • Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou
On one hand, considering the relevance between edge and orientation, two sub-networks are designed to share the occlusion cue.
2 code implementations • 23 Apr 2019 • Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou
For tiny obstacle discovery in a monocular image, edge is a fundamental visual element.
no code implementations • 21 Mar 2019 • Rui Lu, Menghan Zhou, Anlong Ming, Yu Zhou
Occlusion edge detection requires both accurate locations and context constraints of the contour.
no code implementations • ICCV 2017 • Jianxiang Ma, Anlong Ming, Zilong Huang, Xinggang Wang, Yu Zhou
Edge and surface are two fundamental visual elements of an object.