Debang Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Diffusion Model

Detecting Objects

Reinforcement Learning

Top Venues

IEEE Trans. Image Process.

Pattern Recognit.

Publications

Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models. CoRR (2024)
Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, Di Huang
OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning. IEEE Trans. Image Process. 33 (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang
Scaling Diffusion Transformers to 16 Billion Parameters. CoRR (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang
Dimba: Transformer-Mamba Diffusion Models. CoRR (2024)
Debang Li, Junge Zhang, Kaiqi Huang
Universal adversarial perturbations against object detection. Pattern Recognit. 110 (2021)
Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang
Composing Good Shots by Exploiting Mutual Relations. CVPR (2020)
Debang Li, Junge Zhang, Kaiqi Huang
Learning to Learn Cropping Models for Different Aspect Ratio Requirements. CVPR (2020)
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping. IEEE Trans. Image Process. 28 (10) (2019)
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. CVPR (2018)
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping. CoRR (2017)