Ding, Yifan

15 publications

CVPR 2025 ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary Zeqi Gu, Yin Cui, Zhaoshuo Li, Fangyin Wei, Yunhao Ge, Jinwei Gu, Ming-Yu Liu, Abe Davis, Yifan Ding

NeurIPS 2025 AutoData: A Multi-Agent System for Open Web Data Collection Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

AAAI 2025 Citations and Trust in LLM Generated Responses Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger

ICCV 2025 Describe Anything: Detailed Localized Image and Video Captioning Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui

AISTATS 2024 Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten

AAAI 2022 CTIN: Robust Contextual Transformer Network for Inertial Navigation Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang

WACV 2021 Analyzing Deep Neural Network's Transferability via Frechet Distance Yifan Ding, Liqiang Wang, Boqing Gong

AAAI 2021 HetSeq: Distributed GPU Training on Heterogeneous Infrastructure Yifan Ding, Nicholas Botzer, Tim Weninger

NeurIPS 2021 Momentum Centering and Asynchronous Update for Adaptive Gradient Methods Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha Dvornek, Sekhar C Tatikonda, James Duncan

NeurIPS 2020 AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar C Tatikonda, Nicha Dvornek, Xenophon Papademetris, James Duncan

NeurIPSW 2020 AdaBelief Optimizer: Adapting Stepsizes by theBelief in Observed Gradients Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha C Dvornek, Yifan Ding, Xenophon Papademetris, James s Duncan

CVPRW 2019 Defending Against Adversarial Attacks Using Random Forest Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

CVPRW 2019 Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang

CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao

WACV 2018 A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong