Search Results for author: Sauradip Nag

Found 7 papers, 3 papers with code

A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video

no code implementations26 May 2020 Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Michael Blumenstein

The proposed method fuses gradient magnitude and direction coherence of text pixels in a new way for detecting candidate regions.

What's There in the Dark

1 code implementation 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan 2019 Sauradip Nag, Saptakatha Adak, Sukhendu Das

In addition, we used an Adaptive channel reducing the domain gap between synthetic and real night images, which also complements the failures of Real channel output.

Autonomous Driving Scene Parsing +1

What's There in the Dark

1 code implementation24 Sep 2019 Sauradip Nag, Saptakatha Adak, Sukhendu Das

In this paper, we propose a noveldeep architecture, NiSeNet, that performs semantic segmen-tation of night scenes using a domain mapping approach ofsynthetic to real data.

Scene Parsing Semantic Segmentation

Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory

no code implementations9 Feb 2019 Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer, Partha Pratim Roy

Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal.

Micro-Expression Spotting

A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification

no code implementations19 Jun 2018 Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui, Umapada Pal, Tong Lu

For each line segment, the proposed method estimates angle and length, which gives a point in polar domain.

Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence

no code implementations16 Jun 2018 Sauradip Nag, Pallab Kumar Ganguly, Sumit Roy, Sourab Jha, Krishna Bose, Abhishek Jha, Kousik Dasgupta

Regional language extraction from a natural scene image is always a challenging proposition due to its dependence on the text information extracted from Image.

Scene Text Text Segmentation

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