I am currently a postdoctoral fellow at IIS Computer Vision Lab, advised by Dr. Tyng-Luh Liu. I received my Ph.D. from the Department of Computer Science, National Tsing Hua University, advised by Professor Hwann-Tzong Chen and Professor Long-Wen Chang. Prior to joining National Tsing Hua University, I got my Master's Degree from Tatung University, advised by Professor Shang-Lin Hsieh.
I am passionate about solving emerging computer vision problems. My current research lies in aggregating computer vision and deep learning to design impactful techniques. Specifically, I am of interest in tackling challenging computer vision problems, including various segmentation and detection tasks involving scenarios such as multi-modal learning, few-shot learning, attention mechanism, and anomaly detection. If you are interested in my research or have any use cases that you want to share, please feel free to contact me!
[3] SwipeCut: Interactive Segmentation via Seed Grouping
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
IEEE Transactions on Circuits and Systems for Video Technology, 2020 [IEEE Xplore] [arXiv]
[2] Toward a Unified Scheme for Fast Interactive Segmentation
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
Journal of Visual Communication and Image Representation, 2018 [PDF]
[1] Interactive 1-bit Feedback Segmentation Using Transductive Inference
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
Machine Vision and Applications, Online March 2018 [PDF]
[24] Contrastive Feature Decoupling for Weakly-Supervised Disease Detection.
Jhih-Ciang Wu, Ding-Jie Chen, and Chiou-Shann Fuh
MICCAI 2023 [PDF]
[23] One-Shot Action Detection via Attention Zooming In
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, and Tyng-Luh Liu
ICASSP 2023 [PDF]
[22] Aggregating Bilateral Attention for Few-Shot Instance Localization
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, and Tyng-Luh Liu
WACV 2023 [PDF]
[21] Self-Supervised Sparse Representation for Video Anomaly Detection
Jhih-Ciang Wu*, He-Yen Hsieh*, Ding-Jie Chen, Chiou-Shann Fuh, and Tyng-Luh Liu
[20] Contextual Proposal Network for Action Localization
He-Yen Hsieh, Ding-Jie Chen, and Tyng-Luh Liu
WACV 2022 [PDF]
[19] Learning Unsupervised Metaformer for Anomaly Detection
Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, and Tyng-Luh Liu
ICCV 2021 [PDF]
[18] Adaptive Image Transformer for One-Shot Object Detection
[17] Referring Image Segmentation via Language-Driven Attention
Ding-Jie Chen, He-Yen Hsieh, and Tyng-Luh Liu
ICRA 2021 [IEEE Xplore]
[16] Temporal Action Proposal Generation via Deep Feature Enhancement
He-Yen Hsieh, Ding-Jie Chen, and Tyng-Luh Liu
ICIP 2020 [IEEE Xplore]
[15] See-Through-Text Grouping for Referring Image Segmentation
Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu
ICCV 2019 [PDF]
[14] Instance-Level Meta Normalization
[13] Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, and Tyng-Luh Liu
AAAI 2019 [PDF]
[12] A2A: Attention to Attention Reasoning for Movie Question Answering
Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, and Tyng-Luh Liu
ACCV 2018 [PDF]
[11] Tap and Shoot Segmentation
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, and Long-Wen Chang
AAAI 2018 [PDF]
[10] Video Object Segmentation via Cellular Automata Refinement
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
ACPR 2017 [IEEE Xplore] [PDF]
[09] Detecting Nonexistent Pedestrians
Jui-Ting Chien, Chia-Jung Chou, Ding-Jie Chen, and Hwann-Tzong Chen
ICCV Workshop CVRSUAD 2017 [PDF]
[08] Video Segmentation via Boundary-Aware Flow
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
ICIP 2017 [IEEE Xplore] [PDF]
[07] Interactive Segmentation from 1-Bit Feedback
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
ACCV 2016 [PDF]
[06] Fast Defocus Map Estimation
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
ICIP 2016 [IEEE Xplore] [PDF] [CODE]
[05] Unsupervised Image Co-segmentation based on Cooperative Game
Bo-Chen Lin, Ding-Jie Chen, and Long-Wen Chang
ACCV 2014 [PDF]
[04] Modified Soft-decision Adaptive Interpolation by an Evolutionary Game
Pei-Chi Hsiao, Ding-Jie Chen, and Long-Wen Chang
ICIP 2014 [IEEE Xplore]
[03] Matching based Image Co-segmentation
Ding-Jie Chen, Chi-Yun Liu, and Long-Wen Chang
ISEEE 2014 [IEEE Xplore]
[02] Video Object Cosegmentation
Ding-Jie Chen, Hwann-Tzong Chen, and Long-Wen Chang
ACM MM 2012 [PDF]
[01] An RST-resilient Image Copyright Protection Scheme based on the Invariant Domain and Image Secret Sharing
Shang-Lin Hsieh, Ding-Jie Chen, Bin-Yuan Huang, and I-Ju Tsai
SMC 2008 [IEEE Xplore]