1 code implementation • 21 May 2025 • Shichao Li, Peiliang Li, Qing Lian, Peng Yun, Xiaozhi Chen
To tackle the challenges, we first collect a new multi-view LiDAR-camera 3D multiple-object-tracking benchmark of highly crowded pedestrians for in-depth analysis.
Ranked #1 on
3D Pedestrian Tracking
on nuScenes validation set
1 code implementation • 13 Jan 2025 • Binyu Zhang, Shichao Li, Junpeng Jian, Zhu Meng, Limei Guo, Zhicheng Zhao
By incorporating the multi-modality of patient data and joint training, UMPSNet outperforms all SOTA approaches, and moreover, it demonstrates the effectiveness and generalization ability of the proposed learning paradigm of a single model for multiple cancer types.
no code implementations • 9 Apr 2023 • Delong Liu, Shichao Li, Tianyi Shi, Zhu Meng, GuanYu Chen, Yadong Huang, Jin Dong, Zhicheng Zhao
Furthermore, three challenging tasks are involved in our work, namely ECG signal quality assessment, individual biometric identification based on ECG signals, and physiological signal analysis in complex driving environments.
no code implementations • 4 Nov 2022 • Jingchang Zhuge, Huiyuan Liang, Yiming Zhang, Shichao Li, Xinyu Yang, Jun Wu
Aircraft taxiing conflict is a threat to the safety of airport operations, mainly due to the human error in control command infor-mation.
no code implementations • 9 Jun 2022 • Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang-Ting Cheng
In order to deploy deep models in a computationally efficient manner, model quantization approaches have been frequently used.
1 code implementation • 21 Mar 2022 • Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
We propose a new object-centric framework for learning-based stereo 3D object detection.
1 code implementation • 25 Nov 2021 • Shichao Li, Xijie Huang, Zechun Liu, Kwang-Ting Cheng
We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images.
no code implementations • 21 Jun 2021 • Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
We show the regularization effect of second-order momentum in Adam is crucial to revitalize the weights that are dead due to the activation saturation in BNNs.
1 code implementation • CVPR 2021 • Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
The latter question motivates us to incorporate geometry knowledge with a new loss function based on a projective invariant.
Ranked #1 on
Vehicle Pose Estimation
on KITTI Cars Hard
1 code implementation • ECCV 2020 • Lei Ke, Shichao Li, Yanan sun, Yu-Wing Tai, Chi-Keung Tang
GSNet utilizes a unique four-way feature extraction and fusion scheme and directly regresses 6DoF poses and shapes in a single forward pass.
Ranked #1 on
Autonomous Driving
on ApolloCar3D
1 code implementation • CVPR 2020 • Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng
End-to-end deep representation learning has achieved remarkable accuracy for monocular 3D human pose estimation, yet these models may fail for unseen poses with limited and fixed training data.
Ranked #13 on
Weakly-supervised 3D Human Pose Estimation
on Human3.6M
2 code implementations • 28 Aug 2019 • Shichao Li, Kwang-Ting Cheng
Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks.
Ranked #12 on
Age Estimation
on CACD
1 code implementation • 19 Apr 2019 • Shichao Li, Kwang-Ting Cheng
Deep neural decision forest (NDF) achieved remarkable performance on various vision tasks via combining decision tree and deep representation learning.
no code implementations • 3 Dec 2018 • Shichao Li, Xin Yang, Tim Cheng
We propose Deep Hierarchical Machine (DHM), a model inspired from the divide-and-conquer strategy while emphasizing representation learning ability and flexibility.