Song Wang

I am a Ph.D. student in the College of Computer Science and Technology at Zhejiang University, advised by Prof. Jianke Zhu . Prior to that, I obtained my B.Eng. at Zhejiang University, supervised by Prof. Zhiwei Xu and Prof. Hangfang Zhao .

I am interested in computer vision and machine learning. My current research focuses on:

Vision-language models for visual tasks and applications.

Vision-centric occupancy network a.k.a semantic scene completion.

Label-efficient learning for 2D and 3D dense prediction.

Email / Google Scholar / Github

Publications

* indicates equal contribution

OccFiner: Offboard Occupancy Refinement with Hybrid Propagation
Hao Shi*, Song Wang*, Jiaming Zhang, Xiaoting Yin, Zhongdao Wang, Zhijian Zhao, Guangming Wang, Jianke Zhu, Kailun Yang, Kaiwei Wang
arXiv, 2024
[arXiv] [Code]

In addressing the challenges of inferior performance and data closure in vision-based SSC, we introduce OccFiner, the first offboard SSC setup to solve the unreliability of the onboard model.

Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
Song Wang, Jiawei Yu, Wentong Li, Wenyu Liu, Xiaolu Liu, Junbo Chen, Jianke Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[arXiv] [Code]

In this paper, we adhere to the principle of not all voxels are equal and propose hardness-aware semantic scene completion (HASSC).

MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
Xiaolu Liu, Song Wang, Wentong Li, Ruizi Yang, Junbo Chen, Jianke Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[arXiv] [Code]

In this paper, we propose MGMap, an effective approach to online HD map vectorization with the guidance of learned masks.

Label-efficient Segmentation via Affinity Propagation
Wentong Li*, Yuqian Yuan*, Song Wang, Wenyu Liu, Dongqi Tang, Jian Liu, Jianke Zhu, Lei Zhang
Conference on Neural Information Processing Systems (NeurIPS), 2023
[arXiv] [Code] [Project Page]

We propose a method named APro, designed to generate precise soft pseudo labels online for unlabeled regions within segmentation networks.

Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport
Wentong Li, Yuqian Yuan, Song Wang, Jianke Zhu, Jianshu Li, Jian Liu, Lei Zhang
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[arXiv] [Code]

In this paper, we present an effective method, namely Point2Mask, to achieve highquality panoptic prediction using only a single random point annotation per target for training.

LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Song Wang, Wentong Li, Wenyu Liu, Xiaolu Liu, Jianke Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[arXiv] [Code]

In this work, an efficient semantic map construction framework named LiDAR2Map, is presented with an effective BEV feature pyramid decoder and an online Camera-to-LiDAR distillation scheme.

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
Song Wang, Jianke Zhu, Ruixiang Zhang
IEEE Robotics and Automation Letters (RA-L with IROS, IF: 5.2), 2022
[arXiv] [Code]

We propose a novel approach to LiDAR semantic segmentation, which introduces a range residual image representation to capture the spatial-temporal information.

Honors and Awards

China's Optics Valley Scholarship, Donghu New Technology Development Zone

Graduate with Merit A Performance, Zhejiang University

Award of Honor for Graduate, Zhejiang University

Outstanding Undergraduate Award, Zhejiang University

Zhejiang Provincial Government Scholarship, Zhejiang Province

Zhongtian Technology First-Class Scholarship, ZTT Group

Zhejiang University Scholarship - Second Prize, Zhejiang University

First Prize in Advanced Mathematics Competition, Zhejiang Province

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