1 code implementation • 3 Apr 2024 • Zhongyu Xia, Zhiwei Lin, Xinhao Wang, Yongtao Wang, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang
Three-dimensional perception from multi-view cameras is a crucial component in autonomous driving systems, which involves multiple tasks like 3D object detection and bird's-eye-view (BEV) semantic segmentation.
1 code implementation • 2 Apr 2024 • Xu He, Qiaochu Huang, Zhensong Zhang, Zhiwei Lin, Zhiyong Wu, Sicheng Yang, Minglei Li, Zhiyi Chen, Songcen Xu, Xiaofei Wu
While previous works mostly generate structural human skeletons, resulting in the omission of appearance information, we focus on the direct generation of audio-driven co-speech gesture videos in this work.
1 code implementation • 25 Mar 2024 • Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu
In the dual-stream radar backbone, a point-based encoder and a transformer-based encoder are proposed to extract radar features, with an injection and extraction module to facilitate communication between the two encoders.
Ranked #2 on 3D Object Detection on nuscenes Camera-Radar
no code implementations • 21 Mar 2024 • Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu
The vulnerability of deep neural networks to imperceptible adversarial perturbations has attracted widespread attention.
no code implementations • 11 Feb 2024 • Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang
We present GALA3D, generative 3D GAussians with LAyout-guided control, for effective compositional text-to-3D generation.
no code implementations • 29 Jan 2024 • Yuhan Chen, Lumei Su, Lihua Chen, Zhiwei Lin
Experimental implementations were conducted under constrained computational and memory resources, evaluating the proposed method's performance on benchmark datasets including GQA, CLEVR, and VizWiz-VQA-Grounding.
no code implementations • 15 Jan 2024 • Zhiwei Lin, Jun Chen, Boshi Tang, Binzhu Sha, Jing Yang, Yaolong Ju, Fan Fan, Shiyin Kang, Zhiyong Wu, Helen Meng
Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerable attention.
1 code implementation • 13 Dec 2023 • Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang
We present DrivingGaussian, an efficient and effective framework for surrounding dynamic autonomous driving scenes.
no code implementations • ICCV 2023 • Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang
Recent novel view synthesis methods obtain promising results for relatively small scenes, e. g., indoor environments and scenes with a few objects, but tend to fail for unbounded outdoor scenes with a single image as input.
1 code implementation • 12 Dec 2022 • Zhiwei Lin, Yongtao Wang, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang
Based on the property of outdoor point clouds in autonomous driving scenarios, i. e., the point clouds of distant objects are more sparse, we propose point density prediction to enable the 3D encoder to learn location information, which is essential for object detection.
1 code implementation • 24 Oct 2022 • Zhiwei Lin, Zengyu Yang, Yongtao Wang
Firstly, we present a foreground guidance strategy with an off-the-shelf UOD detector to highlight the foreground regions on the feature maps and then refine object locations in an iterative fashion.
1 code implementation • 4 Jul 2022 • Zhiwei Lin, TingTing Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang
To address this issue, we propose a neural architecture search method named FlowNAS to automatically find the better encoder architecture for flow estimation task.
1 code implementation • 30 May 2022 • Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, TingTing Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang
There are two critical sensors for 3D perception in autonomous driving, the camera and the LiDAR.
2 code implementations • 27 May 2022 • TingTing Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
Fusing the camera and LiDAR information has become a de-facto standard for 3D object detection tasks.
1 code implementation • 5 Jul 2021 • Zhiwei Lin, Yongtao Wang, Hongxiang Lin
In this paper, we make the first attempt to tackle the catastrophic forgetting problem in the mainstream self-supervised methods, i. e., contrastive learning methods.
1 code implementation • 1 Jun 2020 • Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang
The proliferation of Web services makes it difficult for users to select the most appropriate one among numerous functionally identical or similar service candidates.
1 code implementation • 29 Sep 2019 • Isaac K. E. Ampomah, Sally McClean, Zhiwei Lin, Glenn Hawe
Others have shown that linguistic features can improve the performance of neural models on tasks such as chunking and named entity recognition (NER).
no code implementations • 9 Sep 2019 • Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang
As $(\mathbf{h},\mathbf{r},\mathbf{t})$ is learned from the existing facts within a knowledge graph, these representations can not be used to detect unknown facts (if the entities or relations never occur in the knowledge graph).
1 code implementation • 30 May 2019 • Zhengui Xue, Zhiwei Lin, Hui Wang, Sally McClean
Existing studies are insufficient in assessing the overall consensus of a ranking set.
1 code implementation • 29 Oct 2018 • Tian Wang, Meina Qiao, Zhiwei Lin, Ce Li, Hichem Snoussi, Zhe Liu, Chang Choi
Security surveillance is critical to social harmony and people's peaceful life.
Ranked #3 on Abnormal Event Detection In Video on UBI-Fights
1 code implementation • 27 Apr 2017 • Zhiwei Lin, Yi Li, Xiaolian Guo
The consensus measure can be used to evaluate rankings in many information systems, as quite often there is not ground truth available for evaluation.
1 code implementation • 15 Sep 2016 • Zhiwei Lin, Hui Wang, Cees H. Elzinga
Preference orderings are orderings of a set of items according to the preferences (of judges).