3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Dual Contradistinctive Generative Autoencoder
Gaurav Parmar, Dacheng Li, Kwonjoon Lee +1
We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthes…
Unaligned Image-to-Sequence Transformation with Loop Consistency
Siyang Wang, Justin Lazarow, Kwonjoon Lee +1
We tackle the problem of modeling sequential visual phenomena. Given examples of a phenomena that can be divided into discrete time steps, we aim to take an input from any such tim…
Learning Instance Occlusion for Panoptic Segmentation
Justin Lazarow, Kwonjoon Lee, Kunyu Shi +1
Panoptic segmentation requires segments of both "things" (countable object instances) and "stuff" (uncountable and amorphous regions) within a single output. A common approach invo…
Meta-Learning with Differentiable Convex Optimization
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran +1
Many meta-learning approaches for few-shot learning rely on simple base learners such as nearest-neighbor classifiers. However, even in the few-shot regime, discriminatively traine…