Jiajun Deng   邓家俊

Postdoctoral Researcher

The University of Adelaide (UoA), Australia

Email: jiajun.deng (at) adelaide.edu.au

Google Scholar / Github

About Me

I am a postdoctoral researcher at The University of Adelaide, working with Prof. Ian Reid and Dr. Feras Dayoub. Prior to that, I was a postdoctoral research associate at The University of Sydney, working with Prof. Wanli Ouyang. I obtained both my Ph.D. degree (2021) and Bachelor degree (2016) in University of Science and Technology of China (USTC). My Ph.D. advisors are Prof. Houqiang Li and Prof. Wengang Zhou. I have closely cooperated with Prof. Yanyong Zhang, whom I also regarded as another advisor of mine.

My research interests include computer vision and robotics, and I am currently working on 3D scene understanding and multi-modality understanding.

Research

Hao Feng, Keyi Zhou, Hao Feng, Wengang Zhou, Yufei Yin, Jiajun Deng, Qi Sun, Houqiang Li
Recurrent contour-based instance segmentation with progressive learning
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
Sha Zhang, Jiajun Deng, Lei Bai, Houqiang Li, Wanli Ouyang, Yanyong Zhang
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
International Journal of Computer Vision volume (IJCV), 2024.
Ning Wang, Jiajun Deng, Mingbo Jia
Cycle-Consistency Learning for Captioning and Grounding
AAAI Conference on Artificial Intelligence (AAAI), 2024.
Yufei Yin, Hao Chen, Wengang Zhou, Jiajun Deng, Haiming Xu, Houqiang Li
Revisiting Open-Set Panoptic Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2024.
Hao Feng, Shaokai Liu, Jiajun Deng, Wengang Zhou, Houqiang Li
Deep Unrestricted Document Image Rectification
IEEE Transactions on Multimedia (TMM), 2024.
Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
Conference on Neural Information Processing Systems (NeurIPS), 2023
Yunyao Mao, Jiajun Deng, Wengang Zhou, Li Li, Yao Fang, and Houqiang Li
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
Conference on Neural Information Processing Systems (NeurIPS), 2023
Changyong Shu*, Jiajun Deng*, Fisher Yu, Yifan Liu
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection
International Conference on Computer Vision (ICCV), 2023
Yunyao Mao, Jiajun Deng, Wengang Zhou, Yao Fang, Wanli Ouyang, Houqiang Li
Masked Motion Predictors are Strong 3D Action Representation Learners
International Conference on Computer Vision (ICCV), 2023
Xuanyu Yi, Jiajun Deng, Qianru Sun, Xisn-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
International Conference on Computer Vision (ICCV), 2023
Yufei Yin, Jiajun Deng, Wengang Zhou, Li Li, and Houqiang Li
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
International Conference on Computer Vision (ICCV), 2023
Hao Feng, Wendi Wang, Jiajun Deng, Wengang Zhou, Li Li, and Houqiang Li
SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
International Conference on Computer Vision (ICCV), 2023
Jiajun Deng, Zhengyuan Yang, Daqing Liu, Tianlang Chen, Wengang Zhou, Yanyong Zhang, Houqiang Li, and Wanli Ouyang
TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer
(This is the Journal Version of TransVG, published in ICCV 2021)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Houqiang Li & Yanyong Zhang
Multi-Modal 3D Object Detection in Autonomous Driving: A Survey
International Journal of Computer Vision volume (IJCV), 2023.
Yingjie Wang, Jiajun Deng, Yao Li, Jinshui Hu, Cong Liu, Yu Zhang, Jianmin Ji, Wanli Ouyang, and Yanyong Zhang
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Depu Meng, Changqian Yu, Jiajun Deng, Deheng Qian, Houqiang Li, and Dongchun Ren
Hybrid Motion Representation Learning for Prediction from Raw Sensor Data
IEEE Transactions on Multimedia (TMM), 2023.
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang & Hongsheng Li
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
International Journal of Computer Vision volume (IJCV), 2022.
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, and Houqiang Li
Masked Contrastive Representation Learning for Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hao Feng, Wengang Zhou, Jiajun Deng, Yuechen Wang, and Houqiang Li
Geometric Representation Learning for Document Image Rectification
European Conference on Computer Vision (ECCV), 2022.
Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, and Houqiang Li
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
European Conference on Computer Vision (ECCV), Oral Paper, 2022.
Yufei Yin, Jiajun Deng, Wengang Zhou, Li Li, and Houqiang Li
FI-WSOD: Foreground Information Guided Weakly Supervised Object Detection
IEEE Transactions on Multimedia (TMM), 2022.
Yao Li, Jiajun Deng, Yu Zhang, Jianmin Ji, Houqiang Li, and Yanyong Zhang
EZFusion: A Close Look at the Integration of LiDAR, Millimeter-Wave Radar, and Camera for Accurate 3D Object Detection and Tracking
IEEE Robotics and Automation Letters (RAL), 2022.
Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Qiuyu Mao, Houqiang Li, and Yanyong Zhang
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion
IEEE Transactions on Multimedia (TMM), 2022.
Hao Feng, Yuechen Wang, Wengang Zhou, Jiajun Deng, and Houqiang Li
Doctr: Document Image Transformer for Geometric Unwarping and Illumination Correction
ACM International Conference on Multimedia (ACM MM), 2021.
Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, and Yu Zhang
Neighbor-vote: Improving Monocular 3D Object Detection Through Neighbor Distance Voting
ACM International Conference on Multimedia (ACM MM), 2021.
Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, and Tao Mei
MINet: Meta-Learning Instance Identifiers for Video Object Detection
IEEE Transactions on Image Processing (TIP), 2021.
Jiajun Deng, Wengang Zhou, Yanyong Zhang, and Houqiang Li
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
Feng Lin, Wengang Zhou, Jiajun Deng, Bin Li, Yan Lu, and Houqiang Li
Residual Refinement Network with Attribute Guidance for Precise Saliency Detection
ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2021.
Yuechen Wang, Jiajun Deng, Wengang Zhou, and Houqiang Li
Weakly Supervised Temporal Adjacent Network for Language Grounding
IEEE Transactions on Multimedia (TMM), 2021.
Yufei Yin, Jiajun Deng, Wengang Zhou, and Houqiang Li
Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, and Houqiang Li
TransVG: End-to-End Visual Grounding with Transformers
International Conference on Computer Vision (ICCV), 2021
Tianlang Chen, Jiajun Deng, Jiebo Luo
Adaptive Offline Quintuplet Loss for Image-Text Matching
European Conference on Computer Vision (ECCV), 2020
Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, and Tao Mei
Single Shot Video Object Detector
IEEE Transactions on Multimedia (TMM), 2020
Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, and Tao Mei
Relation Distillation Networks for Video Object Detection
International Conference on Computer Vision (ICCV), 2019

Academic Services

Area Chair of ACM Multimedia, 2024.
Guest Editor of the special issue on “Pre-trained Models for Multi-Modality Understanding”, IEEE Transaction on Multimedia.
Paper Session Chair of “The 1st Visual Continual Learning Challenge”, in conjunction with ICCV, 2023.
Invited Reviewer for journals and conferences, including TPAMI, IJCV, TIP, TMM, TCSVT, CVPR, ICCV, ECCV, AAAI, etc.