Jiaqi Wang 王佳琦

Research Scientist
Shanghai AI Laboratory

E-mail: wjqdev@gmail.com

Biography

Jiaqi Wang is a Research Scientist at Shanghai AI Laboratory. Before that, he received his Ph.D. at Multimedia Laboratory (MMLab) of The Chinese University of Hong Kong (CUHK), supervised by Prof. Dahua Lin. He also works closely with Prof. Chen Change Loy, Prof. Ziwei Liu, and Dr. Kai Chen.

His research interests focus on object recognition, scene understanding and modeling, and multi modality learning in both 2D and 3D worlds.

We have opening positions for research interns (undergraduate, master, Ph.D. and gap year students are all welcomed) and full-time researchers. Please drop me an e-mail (wjqdev@gmail.com) if you are interested.

News

[2023-07] One paper accepted to Siggraph Asia 2023.
[2023-07] One paper accepted to ICCV 2023. (One Oral)
[2023-02] One paper accepted to ICML 2023.
[2023-02] Four papers accepted to CVPR 2023. (One Award Candidate)
[2023-01] One papers accepted to ICLR 2023. (One Spotlight)
[2022-10] Two papers accepted to AAAI 2023. (One Oral)
[2022-07] One paper accepted to NeurIPS 2022.
[2022-02] One paper accepted to CVPR 2022.
[2021-11] Received his Ph.D. from MMLab and Join Shanghai AI Laboratory
[2021-10] One paper accepted to TIP.
[2021-09] One paper accepted to NeurIPS 2021.
[2021-04] One paper accepted to TPAMI.
[2021-03] One paper accepted to CVPR 2021.
[2020-07] One paper accepted to ECCV 2020 (One Spotlight).
[2019-11] 1st prize in COCO 2019 Object Detection Challenge (without external data).
(Team Leader, Team: MMDet)
[2019-07] One paper accepted to ICCV 2019 (One Oral).
[2019-02] Two papers accepted to CVPR 2019.
[2018-09] MMDetection is released. See Technical Report.
[2018-09] 1st prize in COCO 2018 Object Detection Challenge. (Team: MMDet)
[2018-02] One paper accepted to CVPR 2018.
[2017-08] Awarded Hong Kong Ph.D. Fellowship Scheme (HKPFS) and Join MMLab.

Publications

V3Det: Vast Vocabulary Visual Detection Dataset

In IEEE International Conference on Computer Vision (ICCV) 2023, as Oral. A Detection dataset with more than 13,000 Categories,
Jiaqi Wang*, Pan Zhang*, Tao Chu*, Yuhang Cao*, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin (* equal contribution)

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, Award Candiate
Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

In International Conference on Machine Learning (ICML) 2023
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Yuan Chun#, Jiaqi Wang#
(# corresponding authors)

BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Tao Chu, Pan Zhang, Qiong Liu, Jiaqi Wang

Multi-level Logit Distillation

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Ying Jin, Jiaqi Wang#, Dahua Lin
(# corresponding author)

Dense Distinct Query for End-to-End Object Detection

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, Kai Chen

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

In International Conference on Learning Representations (ICLR) 2023, as Spotlight
Tong Wu, Jiaqi Wang#, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin#
(# corresponding authors)

Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences

In AAAI Conference on Artificial Intelligence (AAAI) 2023, as Oral
Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

In Advances in Neural Information Processing Systems (NeurIPS) 2022
Ying Jin, Jiaqi Wang#, Dahua Lin
(# corresponding author)

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Zhao Yang*, Jiaqi Wang*, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H.S. Torr
(* equal contribution)

Few-Shot Object Detection via Association and DIscrimination

In Advances in Neural Information Processing Systems (NeurIPS) 2021
Yuhang Cao, Jiaqi Wang#, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin
(# corresponding author)

Texture Memory-Augmented Deep Patch-Based Image Inpainting

In IEEE Transactions on Image Processing (TIP) 2021
Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

CARAFE++: Unified Content-Aware ReAssembly of FEatures

In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Seesaw Loss for Long-Tailed Instance Segmentation

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong,
Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin

Side-Aware Boundary Localization for More Precise Object Detection

In European Conference on Computer Vision (ECCV) 2020, as Spotlight
Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin

CARAFE: Content-Aware ReAssembly of FEatures

In IEEE International Conference on Computer Vision (ICCV) 2019, as Oral
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Region Proposal by Guided Anchoring

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Jiaqi Wang*, Kai Chen*, Shuo Yang, Chen Change Loy, Dahua Lin (* equal contribution)

Hybrid Task Cascade for Instance Segmentation

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

Optimizing Video Object Detection via a Scale-Time Lattice

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin

Projects

MMDetection: Open MMLab Detection Toolbox and Benchmark

As Co-author and Core Developer

Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

Sep 9, 2018

MMDetection: Open MMLab Detection Toolbox and Benchmark

Honors and Awards

1st prize in COCO Object Detection Challenge (without external data) (Team Leader, Team: MMDet), 2019
1st prize in COCO Object Detection Challenge (Team: MMDet), 2018
Hong Kong Ph.D. Fellowship Scheme (HKPFS), 2017
National Scholarship, 2016
National Scholarship, 2015
National Scholarship, 2014