Yang, Chenglin

9 publications

NeurIPS 2025 COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation Xueqing Deng, Linjie Yang, Qihang Yu, Ali Athar, Chenglin Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen

ICCV 2025 Deeply Supervised Flow-Based Generative Models Inkyu Shin, Chenglin Yang, Liang-Chieh Chen

ICCV 2025 Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen

ICCV 2025 Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation Xueqing Deng, Linjie Yang, Qihang Yu, Chenglin Yang, Liang-Chieh Chen

ECCV 2024 IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan Yuille, Jiahui Yu

ICLR 2023 MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen

CVPR 2022 Lite Vision Transformer with Enhanced Self-Attention Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan Yuille

ECCV 2020 PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille

AAAI 2019 Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille