activity
20182022
most citedSelf-calibrating Deep Photometric Stereo Networks

5 citations · 19 across the 8 of their papers we have counts for

collaborators

20 papers

cs.CV20214 cited

Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition

Shasha Mao, Guanghui Shi, Licheng Jiao +4

By utilizing label distribution learning, a probability distribution is assigned for a facial image to express a compound emotion, which effectively improves the problem of label u…

cs.CV2021

DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering

Yongjie Zhu, Jiajun Tang, Si Li +1

We propose DeRenderNet, a deep neural network to decompose the albedo and latent lighting, and render shape-(in)dependent shadings, given a single image of an outdoor urban scene,…

cs.CV2021

Spatially-Varying Outdoor Lighting Estimation from Intrinsics

Yongjie Zhu, Yinda Zhang, Si Li +1

We present SOLID-Net, a neural network for spatially-varying outdoor lighting estimation from a single outdoor image for any 2D pixel location. Previous work has used a unified sky…

cs.CV20203 cited

Deep Photometric Stereo for Non-Lambertian Surfaces

Guanying Chen, Kai Han, Boxin Shi +2

This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a full…

cs.CV2020

A Semi-Supervised Assessor of Neural Architectures

Yehui Tang, Yunhe Wang, Yixing Xu +6

Neural architecture search (NAS) aims to automatically design deep neural networks of satisfactory performance. Wherein, architecture performance predictor is critical to efficient…

cs.CV2020

Learning to Deblur and Generate High Frame Rate Video with an Event Camera

Chen Haoyu, Teng Minggui, Shi Boxin +2

Event cameras are bio-inspired cameras which can measure the change of intensity asynchronously with high temporal resolution. One of the event cameras' advantages is that they do…