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20142024
most citedSegmentation Transformer: Object-Contextual Representations for Semantic Segmentation

502 citations · 2.5k across the 78 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.CV2018★ 1 cited

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

Xuesong Niu, Hu Han, Shiguang Shan +1

Heart rate (HR) is an important physiological signal that reflects the physical and emotional activities of humans. Traditional HR measurements are mainly based on contact monitors…

cs.CV2018

Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

Hu Han, Jie Li, Anil K. Jain +2

The explosive growth of digital images in video surveillance and social media has led to the significant need for efficient search of persons of interest in law enforcement and for…

cs.CV2018★ 2 cited

LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild

Shuang Yang, Yuanhang Zhang, Dalu Feng +6

Large-scale datasets have successively proven their fundamental importance in several research fields, especially for early progress in some emerging topics. In this paper, we focu…

cs.CV2018★ 4 cited

3D Feature Pyramid Attention Module for Robust Visual Speech Recognition

Jingyun Xiao

Visual speech recognition is the task to decode the speech content from a video based on visual information, especially the movements of lips. It is also referenced as lipreading.…

cs.CL2018★ 6 cited

Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation

Chenze Shao, Yang Feng, Xilin Chen

Neural machine translation (NMT) models are usually trained with the word-level loss using the teacher forcing algorithm, which not only evaluates the translation improperly but al…

cs.CV2018★ 19 cited

Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

Huajie Jiang, Ruiping Wang, Shiguang Shan +1

Zero-shot learning (ZSL) aims to recognize objects of novel classes without any training samples of specific classes, which is achieved by exploiting the semantic information and a…