activity
20172023
most cited1000x Faster Camera and Machine Vision with Ordinary Devices

97 citations · 291 across the 34 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 3 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★ 11 cited

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★ 23 cited

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…

cs.CV2020★ 4 cited

Distilling portable Generative Adversarial Networks for Image Translation

Hanting Chen, Yunhe Wang, Han Shu +5

Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy co…

cs.LG2020★ 2 cited

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

Yehui Tang, Yunhe Wang, Yixing Xu +4

Deep neural networks often consist of a great number of trainable parameters for extracting powerful features from given datasets. On one hand, massive trainable parameters signifi…

cs.LG2020★ 2 cited

On Positive-Unlabeled Classification in GAN

Tianyu Guo, Chang Xu, Jiajun Huang +4

This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs.…

cs.CV2020★ 1 cited

Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials

Min Li, Zhenglong Zhou, Zhe Wu +3

We present a method to capture both 3D shape and spatially varying reflectance with a multi-view photometric stereo (MVPS) technique that works for general isotropic materials. Our…