Generating Diverse and Descriptive Image Captions Using Visual Paraphrases
Lixin Liu, Jiajun Tang, Xiaojun Wan, and Zongming Guo. "Generating Diverse and Descriptive Image Captions Using Visual Paraphrases." ICCV, 2019.
CV
Education
- B.S. in Computer Science and Technology, Peking University, 2017~2021.
- Ph.D in Artificial Intelligence and Media Computation, Peking University, 2021~.(expected)
Research experience
- March 2019 ~ Present: Research Assistant
- EECS, Peking University
- Computational Photography and Computer Vision
- Supervisor: Professor Boxin Shi
Publications
DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
Yongjie Zhu, Jiajun Tang, Si Li, and Boxin Shi. "DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering." ICCP, 2021.
L-CoDe: Language-based Colorization using Color-object Decoupled Conditions
Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, and Boxin Shi. "L-CoDe: Language-based Colorization using Color-object Decoupled Conditions." AAAI, 2022.
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation
Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, and Boxin Shi. "Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation." ECCV, 2022.
Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting
Siqi Yang, Xuanning Cui, Yongjie Zhu, Jiajun Tang, Si Li, Zhaofei Yu, and Boxin Shi. "Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting." CVPR, 2023.
LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
Jiajun Tang, Haofeng Zhong, Shuchen Weng, and Boxin Shi. "LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation." NeurIPS (to appear), 2023.