activity
20182023
most citedDenoising Prior Driven Deep Neural Network for Image Restoration

537 citations · 571 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 3 cited

DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation

Peiyao Wang, Haibin Ling

Fully supervised action segmentation works on frame-wise action recognition with dense annotations and often suffers from the over-segmentation issue. Existing works have proposed…

cs.CL2022★ 3 cited

DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling

Lahari Poddar, Peiyao Wang, Julia Reinspach

Retrieval-based conversational systems learn to rank response candidates for a given dialogue context by computing the similarity between their vector representations. However, tra…

cs.SD2022

The RoyalFlush System of Speech Recognition for M2MeT Challenge

Shuaishuai Ye, Peiyao Wang, Shunfei Chen +2

This paper describes our RoyalFlush system for the track of multi-speaker automatic speech recognition (ASR) in the M2MeT challenge. We adopted the serialized output training (SOT)…

cs.CV2020

SIRI: Spatial Relation Induced Network For Spatial Description Resolution

Peiyao Wang, Weixin Luo, Yanyu Xu +4

Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions. Expli…

cs.CV2018★ 28 cited

ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning

Xiaotong Lu, Weisheng Dong, Peiyao Wang +2

Compressive sensing (CS), aiming to reconstruct an image/signal from a small set of random measurements has attracted considerable attentions in recent years. Due to the high dimen…

cs.CV2018★ 537 cited

Denoising Prior Driven Deep Neural Network for Image Restoration

Weisheng Dong, Peiyao Wang, Wotao Yin +3

Deep neural networks (DNNs) have shown very promising results for various image restoration (IR) tasks. However, the design of network architectures remains a major challenging for…