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20192022
most citedMulti-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting

8 citations · 27 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022

Dilated Continuous Random Field for Semantic Segmentation

Xi Mo, Xiangyu Chen, Cuncong Zhong +3

Mean field approximation methodology has laid the foundation of modern Continuous Random Field (CRF) based solutions for the refinement of semantic segmentation. In this paper, we…

cs.CV20212 cited

Audio-Visual Transformer Based Crowd Counting

Usman Sajid, Xiangyu Chen, Hasan Sajid +2

Crowd estimation is a very challenging problem. The most recent study tries to exploit auditory information to aid the visual models, however, the performance is limited due to the…

cs.CV20212 cited

Parallel Scale-wise Attention Network for Effective Scene Text Recognition

Usman Sajid, Michael Chow, Jin Zhang +2

The paper proposes a new text recognition network for scene-text images. Many state-of-the-art methods employ the attention mechanism either in the text encoder or decoder for the…

cs.CV2020

Stereo Frustums: A Siamese Pipeline for 3D Object Detection

Xi Mo, Usman Sajid, Guanghui Wang

The paper proposes a light-weighted stereo frustums matching module for 3D objection detection. The proposed framework takes advantage of a high-performance 2D detector and a point…

cs.CV20208 cited

Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting

Usman Sajid, Wenchi Ma, Guanghui Wang

Crowd counting in still images is a challenging problem in practice due to huge crowd-density variations, large perspective changes, severe occlusion, and variable lighting conditi…

cs.CV20201 cited

Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks

Brian McClannahan, Krushi Patel, Usman Sajid +2

The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert t…