6 citations · 8 across the 5 of their papers we have counts for
6 papers
Multimodal Shape Completion via IMLE
Himanshu Arora, Saurabh Mishra, Shichong Peng +2
Shape completion is the problem of completing partial input shapes such as partial scans. This problem finds important applications in computer vision and robotics due to issues su…
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Shichong Peng, Alireza Moazeni, Ke Li
Deep generative models such as GANs have driven impressive advances in conditional image synthesis in recent years. A persistent challenge has been to generate diverse versions of…
Generating Unobserved Alternatives
Shichong Peng, Ke Li
We consider problems where multiple predictions can be considered correct, but only one of them is given as supervision. This setting differs from both the regression and class-con…
Better Knowledge Retention through Metric Learning
Ke Li, Shichong Peng, Kailas Vodrahalli +1
In continual learning, new categories may be introduced over time, and an ideal learning system should perform well on both the original categories and the new categories. While de…
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
Ke Li, Shichong Peng, Tianhao Zhang +1
Many tasks in computer vision and graphics fall within the framework of conditional image synthesis. In recent years, generative adversarial nets (GANs) have delivered impressive a…
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation
Ke Li, Shichong Peng, Jitendra Malik
Single-image super-resolution (SISR) is a canonical problem with diverse applications. Leading methods like SRGAN produce images that contain various artifacts, such as high-freque…