Dai, Bin

15 publications

ICCV 2025 Keep Your Friends Close, and Your Enemies Farther: Distance-Aware Voxel-Wise Contrastive Learning for Semi-Supervised Multi-Organ Segmentation Haochen Zhao, Jianwei Niu, Xuefeng Liu, Xiaozheng Xie, Li Kuang, Haotian Yang, Bin Dai, Hui Meng, Yong Wang

ICLR 2025 SmartRAG: Jointly Learn RAG-Related Tasks from the Environment Feedback Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, Yuzhuo Fu, Bin Dai

NeurIPS 2025 UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning Xiangyu Wang, Donglin Yang, Yue Liao, Wenhao Zheng, Wenjun Wu, Bin Dai, Hongsheng Li, Si Liu

WACV 2024 Controlling Character Motions Without Observable Driving Source Weiyuan Li, Bin Dai, Ziyi Zhou, Qi Yao, Baoyuan Wang

ECCVW 2024 Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents Duomin Wang, Bin Dai, Yu Deng, Baoyuan Wang

CVPR 2024 DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, Liping Jing, Yiming Nie, Bin Dai

CVPRW 2022 NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen

NeurIPS 2021 On the Value of Infinite Gradients in Variational Autoencoder Models Bin Dai, Li Wenliang, David P. Wipf

NeurIPS 2020 Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu

NeurIPSW 2020 Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

ICML 2020 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai, Ziyu Wang, David Wipf

ICLR 2019 Diagnosing and Enhancing VAE Models Bin Dai, David Wipf

ICML 2018 Compressing Neural Networks Using the Variational Information Bottleneck Bin Dai, Chen Zhu, Baining Guo, David Wipf

JMLR 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models Bin Dai, Yu Wang, John Aston, Gang Hua, David Wipf

UAI 2017 Green Generative Modeling: Recycling Dirty Data Using Recurrent Variational Autoencoders Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf