no code implementations • 24 Apr 2023 • Long Liu, Tong Li, Hui Cheng
Existing knowledge distillation methods generally use a teacher-student approach, where the student network solely learns from a well-trained teacher.
2 code implementations • 12 Nov 2022 • Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li
We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to the source data.
1 code implementation • 2 Jul 2022 • Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li
Thyroid nodule classification aims at determining whether the nodule is benign or malignant based on a given ultrasound image.
no code implementations • 17 Sep 2021 • Minghao Li, Yingrui Jie, Yang Kong, Hui Cheng
The problem of multi-robot navigation of connectivity maintenance is challenging in multi-robot applications.
no code implementations • 24 Feb 2021 • Lei Zheng, Rui Yang, Zhixuan Wu, Jiesen Panb, Hui Cheng
In this paper, a safe and learning-based control framework for model predictive control (MPC) is proposed to optimize nonlinear systems with a non-differentiable objective function under uncertain environmental disturbances.
Gaussian Processes Robotics
1 code implementation • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019 • Zhikai Dong, Sicheng Liu, Tao Zhou, Hui Cheng, Long Zeng, Xingyao Yu, Houde Liu
For each point in the point cloud, the network regresses a 6D pose of the object instance that the point belongs to.
no code implementations • 29 May 2019 • Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng
Multi-Person Tracking (MPT) is often addressed within the detection-to-association paradigm.
no code implementations • 18 Feb 2019 • Junhao Cai, Hui Cheng, Zhanpeng Zhang, Jingcheng Su
Although the model is trained using only RGB image, when changing the background textures, it also performs well and can achieve even 94% accuracy on the set of adversarial objects, which outperforms current state-of-the-art methods.
1 code implementation • 2 Jul 2018 • Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin
And this structured knowledge can be efficiently integrated into the deep neural network architecture to promote social relationship understanding by an end-to-end trainable Graph Reasoning Model (GRM), in which a propagation mechanism is learned to propagate node message through the graph to explore the interaction between persons of interest and the contextual objects.
no code implementations • CVPR 2017 • Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng
3D human articulated pose recovery from monocular image sequences is very challenging due to the diverse appearances, viewpoints, occlusions, and also the human 3D pose is inherently ambiguous from the monocular imagery.
Ranked #18 on 3D Human Pose Estimation on HumanEva-I
no code implementations • 15 Jul 2017 • Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng
This paper aims at task-oriented action prediction, i. e., predicting a sequence of actions towards accomplishing a specific task under a certain scene, which is a new problem in computer vision research.
no code implementations • 13 Aug 2016 • Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin
In this paper, we propose a novel inference-embedded multi-task learning framework for predicting human pose from still depth images, which is implemented with a deep architecture of neural networks.
1 code implementation • 18 Apr 2016 • Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin
Another long short-term memorized fusion layer is set up to integrate the contexts along the vertical direction from different channels, and perform bi-directional propagation of the fused vertical contexts along the horizontal direction to obtain true 2D global contexts.
no code implementations • 2 Dec 2015 • Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet Sawhney, Ahmed Elgammal
To our knowledge, this is the first Zero-Shot event detection model that is built on top of distributional semantics and extends it in the following directions: (a) semantic embedding of multimodal information in videos (with focus on the visual modalities), (b) automatically determining relevance of concepts/attributes to a free text query, which could be useful for other applications, and (c) retrieving videos by free text event query (e. g., "changing a vehicle tire") based on their content.
no code implementations • 25 Oct 2015 • S. Hussain Raza, Omar Javed, Aveek Das, Harpreet Sawhney, Hui Cheng, Irfan Essa
We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene.
no code implementations • 26 Feb 2015 • Zhongchang Liu, Wing Shing Wong, Hui Cheng
This paper considers the cluster synchronization problem of generic linear dynamical systems whose system models are distinct in different clusters.
no code implementations • CVPR 2014 • Jiejie Zhu, Omar Javed, Jingen Liu, Qian Yu, Hui Cheng, Harpreet Sawhney
In this paper, we give a comparative evaluation of the proposed method and demonstrate that MIMS outperforms the state of the art approaches in identifying pedestrians from low resolution airborne videos.
no code implementations • CVPR 2013 • Ishani Chakraborty, Hui Cheng, Omar Javed
g Unlike previous approaches that directly map people/face locations in 2D image space into features for classification, we first estimate camera viewpoint and people positions in 3D space and then extract spatial configuration features from explicit 3D people positions.