output
20162021
most citedMultitask Prompted Training Enables Zero-Shot Task Generalization

563 citations

8 papers

cs.LG2021★ 563 cited

Multitask Prompted Training Enables Zero-Shot Task Generalization

Victor Sanh, Albert Webson, Colin Raffel +38

Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…

cs.CV2021★ 28 cited

ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos

Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang +2

Detecting human-object interactions (HOI) is an important step toward a comprehensive visual understanding of machines. While detecting non-temporal HOIs (e.g., sitting on a chair)…

cs.SD2021

Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation

Yan-Bo Lin, Yu-Chiang Frank Wang

Human perceives rich auditory experience with distinct sound heard by ears. Videos recorded with binaural audio particular simulate how human receives ambient sound. However, a lar…

cs.CV2020

Semantics-Guided Representation Learning with Applications to Visual Synthesis

Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang +2

Learning interpretable and interpolatable latent representations has been an emerging research direction, allowing researchers to understand and utilize the derived latent space fo…

cs.CV2020★ 46 cited

Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining

Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang

Single image deraining is a crucial problem because rain severely degenerates the visibility of images and affects the performance of computer vision tasks like outdoor surveillanc…

cs.CV2020★ 6 cited

Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing

Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai

Single image dehazing is the ill-posed two-dimensional signal reconstruction problem. Recently, deep convolutional neural networks (CNN) have been successfully used in many compute…

astro-ph.CO2019★ 246 cited

A SHARP view of H0LiCOW: from three time-delay gravitational lens systems with adaptive optics imaging

Geoff C. -F. Chen, Christopher D. Fassnacht, Sherry. H. Suyu +20

We present the measurement of the Hubble Constant, , with three strong gravitational lens systems. We describe a blind analysis of both PG1115+080 and HE0435-1223 as well as a…

cs.IT2016★ 2 cited

Detection of Spatially-Modulated Signals in Doubly Selective Fading Channels With Imperfect CSI

Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su

To detect spatially-modulated signals, a receiver needs the channel state information (CSI) of each transmit- receive antenna pair. Although the CSI is never perfect and varies in…