Unbalanced Feature Transport for Exemplar-Based Image Translation. - Fangneng Zhan; Yingchen Yu; Kaiwen Cui; Gongjie Zhang; Shijian Lu; Jianxiong Pan; Changgong Zhang; Feiying Ma; Xuansong Xie; Chunyan Miao (CVPR, 2021)

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers. - Yingchen Yu; Fangneng Zhan; Rongliang Wu; Jianxiong Pan; Kaiwen Cui; Shijian Lu; Feiying Ma; Xuansong Xie; Chunyan Miao (ACM Multimedia, 2021)

Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection. - Gongjie Zhang; Kaiwen Cui; Tzu-Yi Hung; Shijian Lu (WACV, 2021)

PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks. - Gongjie Zhang; Kaiwen Cui; Rongliang Wu; Shijian Lu; Yonghong Tian 001 (WACV, 2021)

Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation. - Gongjie Zhang; Zhipeng Luo; Kaiwen Cui; Shijian Lu (CoRR, 2021)

Bi-level Feature Alignment for Versatile Image Translation and Manipulation. - Fangneng Zhan; Yingchen Yu; Rongliang Wu; Kaiwen Cui; Aoran Xiao; Shijian Lu; Ling Shao 001 (CoRR, 2021)

FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition. - Kaiwen Cui; Gongjie Zhang; Fangneng Zhan; Jiaxing Huang 001; Shijian Lu (CoRR, 2021)

GenCo: Generative Co-training on Data-Limited Image Generation. - Kaiwen Cui; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Fangneng Zhan; Shijian Lu (CoRR, 2021)

GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data. - Kaiwen Cui; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Fangneng Zhan; Shijian Lu (AAAI, 2022)

Accelerating DETR Convergence via Semantic-Aligned Matching. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Kaiwen Cui; Shijian Lu (CVPR, 2022)

Bi-level Feature Alignment for Versatile Image Translation and Manipulation. - Fangneng Zhan; Yingchen Yu; Rongliang Wu; Jiahui Zhang; Kaiwen Cui; Aoran Xiao; Shijian Lu; Chunyan Miao (ECCV (16), 2022)

Auto-regressive Image Synthesis with Integrated Quantization. - Fangneng Zhan; Yingchen Yu; Rongliang Wu; Jiahui Zhang; Kaiwen Cui; Changgong Zhang; Shijian Lu (ECCV (16), 2022)

D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds. - Kangcheng Liu; Aoran Xiao; Jiaxing Huang 001; Kaiwen Cui; Yun Xing 001; Shijian Lu (IROS, 2022)

Masked Generative Adversarial Networks are Data-Efficient Generation Learners. - Jiaxing Huang 001; Kaiwen Cui; Dayan Guan; Aoran Xiao; Fangneng Zhan; Shijian Lu; Shengcai Liao; Eric P. Xing (NeurIPS, 2022)

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Kaiwen Cui; Shijian Lu; Ling Shao 001 (NeurIPS, 2022)

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Jiaxing Huang 001; Kaiwen Cui; Shijian Lu; Eric P. Xing (CoRR, 2022)

Face Transformer: Towards High Fidelity and Accurate Face Swapping. - Kaiwen Cui; Rongliang Wu; Fangneng Zhan; Shijian Lu (CVPR Workshops, 2023)

KD-DLGAN: Data Limited Image Generation via Knowledge Distillation. - Kaiwen Cui; Yingchen Yu; Fangneng Zhan; Shengcai Liao; Shijian Lu; Eric P. Xing (CVPR, 2023)

Meta-DETR: Image-Level Few-Shot Detection With Inter-Class Correlation Exploitation. - Gongjie Zhang; Zhipeng Luo; Kaiwen Cui; Shijian Lu; Eric P. Xing (IEEE Trans. Pattern Anal. Mach. Intell., 2023)