output
19972026
most citedDehazeNet: An End-to-End System for Single Image Haze Removal

3.4k citations

Showing 2016Show all

73 papers · 1 filter

cond-mat.mes-hall2016★ 135 cited

Observation of Acoustic Valley Vortex States and Valley-Chirality Locked Beam Splitting

Liping Ye, Chunyin Qiu, Jiuyang Lu +5

The Letter reports an experimental observation of the classical version of valley polarized states in a two-dimensional hexagonal sonic crystal, where the inversion-symmetry breaki…

math.NT2016

On the additive and multiplicative structures of the exceptional units in finite commutative rings

Su Hu, Min Sha

Let be a commutative ring with identity. A unit of is called exceptional if is also a unit. When is a finite commutative ring, we determine the additive and m…

stat.ML2016★ 431 cited

Large-Margin Softmax Loss for Convolutional Neural Networks

Weiyang Liu, Yandong Wen, Zhiding Yu +1

Cross-entropy loss together with softmax is arguably one of the most common used supervision components in convolutional neural networks (CNNs). Despite its simplicity, popularity…

cond-mat.dis-nn2016★ 9 cited

Polaronic quantum diffusion in dynamic localization regime

Yao Yao

We investigate the quantum dynamics in a disordered electronic lattice with Fibonacci sequence of site energy and off-diagonal electron-phonon coupling within a sub-Ohmic bath by t…

cond-mat.mtrl-sci2016★ 18 cited

Energetic disorder induced leakage current in organic bulk heterojunction solar cells: comprehending the ultra-high open circuit voltage loss at low temperatures

Wenchao Yang, Yongsong Luo, Pengfei Guo +2

In organic bulk heterojunction solar cells, the open circuit voltage () suffers from an ultra-high loss at low temperatures. In this work we investigate the origin o…

cs.CV2016★ 8 cited

T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction

Jianming Lv, Qing Li, Xintong Wang

Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional prediction approaches, whic…