no code implementations • 26 Apr 2024 • Ren-xin Zhao, Shi Wang, Yaonan Wang
Quantum Convolutional Layer (QCL) is considered as one of the core of Quantum Convolutional Neural Networks (QCNNs) due to its efficient data feature extraction capability.
no code implementations • 21 Mar 2024 • Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian
Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries. We propose a sketch based knowledge enhanced diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes.
no code implementations • 21 Mar 2024 • Haoran Hou, Mingtao Feng, Zijie Wu, Weisheng Dong, Qing Zhu, Yaonan Wang, Ajmal Mian
In this work, we focus on the distributional properties of point clouds and formulate the voting process as generating new points in the high-density region of the distribution of object centers.
no code implementations • 20 Mar 2024 • Qitong Yang, Mingtao Feng, Zijie Wu, ShiJie Sun, Weisheng Dong, Yaonan Wang, Ajmal Mian
To address this, we propose a novel framework that generates coherent 4D sequences with animation of 3D shapes under given conditions with dynamic evolution of shape and color over time through integrative latent mapping.
1 code implementation • 19 Mar 2024 • Jingtao Sun, Yaonan Wang, Mingtao Feng, Chao Ding, Mike Zheng Shou, Ajmal Saeed Mian
Furthermore, we introduce a pretrain-to-refine self-supervised training paradigm to train our network.
1 code implementation • 9 Jan 2024 • Jingtao Sun, Yaonan Wang, Danwei Wang
In this paper, we investigate the real-world robot task of aerial vision guidance for aerial robotics manipulation, utilizing category-level 6-DoF pose tracking.
no code implementations • 8 Jan 2024 • Guoming Huang, Mingxin Hou, Xiaofang Yuan, Shuqiao Huang, Yaonan Wang
However, when dealing with global planning tasks, these methods face serious challenges such as poor convergence and generalization.
no code implementations • ICCV 2023 • Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian
In this paper, we propose a sketch and text guided probabilistic diffusion model for colored point cloud generation that conditions the denoising process jointly with a hand drawn sketch of the object and its textual description.
2 code implementations • 28 Jul 2023 • Fei Teng, Jiaming Zhang, Kunyu Peng, Yaonan Wang, Rainer Stiefelhagen, Kailun Yang
To avoid feature loss during network propagation and simultaneously streamline the redundant information from the light field camera, we present a simple yet very effective Sub-Aperture Fusion Module (SAFM) to embed sub-aperture images into angular features without any additional memory cost.
1 code implementation • 11 Jul 2023 • Yaozu Ye, Hao Shi, Kailun Yang, Ze Wang, Xiaoting Yin, Yining Lin, Mao Liu, Yaonan Wang, Kaiwei Wang
We then propose EVA-Flow, an EVent-based Anytime Flow estimation network to produce high-frame-rate event optical flow with only low-frame-rate optical flow ground truth for supervision.
2 code implementations • 2 Jun 2023 • Yihong Cao, HUI ZHANG, Xiao Lu, Zheng Xiao, Kailun Yang, Yaonan Wang
It utilizes a well-trained source model and unlabeled target data to achieve adaptation in the target domain.
no code implementations • 30 May 2023 • Wenbin He, Jianxu Mao, Yaonan Wang, Zhe Li, Qiu Fang, Haotian Wu
To improve the performance in identifying the faults under strong noise for rotating machinery, this paper presents a dynamic feature reconstruction signal graph method, which plays the key role of the proposed end-to-end fault diagnosis model.
no code implementations • 17 May 2023 • Zhihong Fang, Shaolin Tan, Yaonan Wang
In this paper, we propose a different link sign prediction architecture call SELO (Subgraph Encoding via Linear Optimization), which obtains overall leading prediction performances compared the state-of-the-art algorithm SDGNN.
1 code implementation • 28 Apr 2022 • Mingtao Feng, Kendong Liu, Liang Zhang, Hongshan Yu, Yaonan Wang, Ajmal Mian
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data which is expensive to generate.
2 code implementations • 27 Feb 2022 • Ruiping Liu, Kailun Yang, Alina Roitberg, Jiaming Zhang, Kunyu Peng, Huayao Liu, Yaonan Wang, Rainer Stiefelhagen
Semantic segmentation benchmarks in the realm of autonomous driving are dominated by large pre-trained transformers, yet their widespread adoption is impeded by substantial computational costs and prolonged training durations.
1 code implementation • CVPR 2022 • Mingtao Feng, Kendong Liu, Liang Zhang, Hongshan Yu, Yaonan Wang, Ajmal Mian
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data which is expensive to generate.
no code implementations • 20 Dec 2021 • Yurong Chen, HUI ZHANG, Yaonan Wang, Q. M. Jonathan Wu, Yimin Yang
In this case, the Wasserstein distance can be calculated with the closed-form, even the prior distribution is not Gaussian.
no code implementations • ICCV 2021 • Xueping Wang, Shasha Li, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury
The success of deep neural networks (DNNs) has promoted the widespread applications of person re-identification (ReID).
1 code implementation • ICCV 2021 • Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, Xiangdong Zhang, Guangming Zhu, HUI ZHANG, Yaonan Wang, Ajmal Mian
There are three main challenges in 3D object grounding: to find the main focus in the complex and diverse description; to understand the point cloud scene; and to locate the target object.
no code implementations • 21 Jul 2020 • Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury, Fellow, IEEE
In order to cope with this issue, we introduce the problem of learning person re-identification models from videos with weak supervision.
Multiple Instance Learning Video-Based Person Re-Identification
no code implementations • 11 Jun 2020 • Zijie Wu, Yaonan Wang, Qing Zhu, Jianxu Mao, Haotian Wu, Mingtao Feng, Ajmal Mian
Different from the most existing point set registration methods which usually extract the descriptors to find correspondences between point sets, our proposed MPE alignment method is able to handle large scale raw data offset without depending on traditional descriptors extraction, whether for the local or global registration methods.
no code implementations • 30 Nov 2019 • Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang, Liang Zhang, Ajmal Mian
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy for most object detection tasks on 2D images.
no code implementations • 8 Sep 2019 • Dong Li, Bo Ouyang, Duanpo Wu, Yaonan Wang
AGVs are driverless robotic vehicles that picks up and delivers materials.
no code implementations • 27 Aug 2019 • Xueping Wang, Rameswar Panda, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury
Additionally, a cross-view matching strategy followed by global camera network constraints is proposed to explore the matching relationships across the entire camera network.
no code implementations • 20 Dec 2017 • Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu
Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent.
no code implementations • ECCV 2018 • Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang, Ajmal Mian
Reconstructing 3D facial geometry from a single RGB image has recently instigated wide research interest.
no code implementations • 6 May 2014 • Yimin Yang, Q. M. Jonathan Wu, Guang-Bin Huang, Yaonan Wang
SLFNs are universal approximators when at least the parameters of the networks including hidden-node parameter and output weight are exist.