Search Results for author: Sauradip Nag

Found 14 papers, 9 papers with code

Large-Scale Product Retrieval with Weakly Supervised Representation Learning

1 code implementation1 Aug 2022 Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu

Large-scale weakly supervised product retrieval is a practically useful yet computationally challenging problem.

Multi-Label Classification Representation Learning +1

Zero-Shot Temporal Action Detection via Vision-Language Prompting

1 code implementation17 Jul 2022 Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

Such a novel design effectively eliminates the dependence between localization and classification by breaking the route for error propagation in-between.

Action Detection Classification +3

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

1 code implementation14 Jul 2022 Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

Such a novel design effectively eliminates the dependence between localization and classification by cutting off the route for error propagation in-between.

Action Detection Classification +1

How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting

1 code implementation1 Jul 2022 Sauradip Nag, Nisarg Shah, Anran Qi, Raghavendra Ramachandra

Unlike previous methods, we model the depth estimation of the unobserved frame as a view-synthesis problem, which treats the depth estimate of the unseen video frame as an auxiliary task while synthesizing back the views using learned pose.

Depth Estimation Pose Estimation +1

Few-Shot Temporal Action Localization with Query Adaptive Transformer

1 code implementation20 Oct 2021 Sauradip Nag, Xiatian Zhu, Tao Xiang

Further, a novel FS-TAL model is proposed which maximizes the knowledge transfer from training classes whilst enabling the model to be dynamically adapted to both the new class and each video of that class simultaneously.

Action Segmentation Few Shot Temporal Action Localization +4

Temporal Action Localization with Global Segmentation Mask Transformers

no code implementations29 Sep 2021 Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

In this paper, to address the above two challenges, a novel {\em Global Segmentation Mask Transformer} (GSMT) is proposed.

object-detection Object Detection +1

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 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

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

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.

Text Segmentation

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