Yin, Peng

7 publications

NeurIPS 2025 Generative Distribution Embeddings: Lifting Autoencoders to the Space of Distributions for Multiscale Representation Learning Nic Fishman, Gokul Gowri, Peng Yin, Jonathan S. Gootenberg, Omar Abudayyeh

NeurIPS 2024 Approximating Mutual Information of High-Dimensional Variables Using Learned Representations Gokul Gowri, Xiao-Kang Lun, Allon M. Klein, Peng Yin

CVPRW 2024 OGRMPI: An Efficient Multiview Integrated Multiplane Image Based on Occlusion Guided Residuals Dae Yeol Lee, Guan-Ming Su, Peng Yin

CVPRW 2024 StegaNeRV: Video Steganography Using Implicit Neural Representation Monsij Biswal, Tong Shao, Kenneth Rose, Peng Yin, Sean McCarthy

ICMLW 2023 Low Complexity Neural Network-Based In-Loop Filtering with Decomposed Split Luma-Chroma Model for Video Compression Tong Shao, Jay N. Shingala, Ajay Shyam, Peng Yin, Arjun Arora, Sean McCarthy

NeurIPSW 2022 Interpretable Visualization of Single Cell Data Using Janus Autoencoders Gokul Gowri, Philippa Anne Richter, Xiaokang Lun, Peng Yin

CoRL 2021 Advancing Self-Supervised Monocular Depth Learning with Sparse LiDAR Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li