Object-Centric Unsupervised Image Captioning

no code implementations • 2 Dec 2021 • Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim

Our work in this paper overcomes this by harvesting objects corresponding to a given sentence from the training set, even if they don't belong to the same image.

Image Captioning

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

no code implementations • 21 Oct 2021 • Xuefeng Hu, Gokhan Uzunbas, Sirius Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim

We present a simple and effective way to estimate the batch-norm statistics during test time, to fast adapt a source model to target test samples.

Unsupervised Domain Adaptation Zero-Shot Learning

Self-appearance-aided Differential Evolution for Motion Transfer

no code implementations • 9 Oct 2021 • Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim

Image animation transfers the motion of a driving video to a static object in a source image, while keeping the source identity unchanged.

Image Animation

Testing-Time Adaptation through Online Normalization Estimation

no code implementations • 29 Sep 2021 • Xuefeng Hu, Mustafa Uzunbas, Bor-Chun Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim

We present a simple and effective way to estimate the batch-norm statistics during test time, to fast adapt a source model to target test samples.

Unsupervised Domain Adaptation Zero-Shot Learning

Fast Adaptive Anomaly Detection

no code implementations • 29 Sep 2021 • Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser-Nam Lim

Anything outside of a given normal population is by definition an anomaly.

Anomaly Detection Meta-Learning