Search Results for author: Sauradip Nag

Found 22 papers, 13 papers with code

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

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

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion

1 code implementation ICCV 2023 Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang

Concretely, we establish the denoising process in the Transformer decoder (e. g., DETR) by introducing a temporal location query design with faster convergence in training.

Action Detection Denoising

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 +2

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

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 General Classification +1

Post-Processing Temporal Action Detection

1 code implementation CVPR 2023 Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

To address this problem, in this work we introduce a novel model-agnostic post-processing method without model redesign and retraining.

Action Classification Action Detection +1

Multi-Modal Few-Shot Temporal Action Detection

1 code implementation27 Nov 2022 Sauradip Nag, Mengmeng Xu, Xiatian Zhu, Juan-Manuel Perez-Rua, Bernard Ghanem, Yi-Zhe Song, Tao Xiang

In this work, we introduce a new multi-modality few-shot (MMFS) TAD problem, which can be considered as a marriage of FS-TAD and ZS-TAD by leveraging few-shot support videos and new class names jointly.

Action Detection Few-Shot Object Detection +3

Actor-agnostic Multi-label Action Recognition with Multi-modal Query

1 code implementation20 Jul 2023 Anindya Mondal, Sauradip Nag, Joaquin M Prada, Xiatian Zhu, Anjan Dutta

Existing action recognition methods are typically actor-specific due to the intrinsic topological and apparent differences among the actors.

Action Classification Action Recognition In Videos +3

SaLite : A light-weight model for salient object detection

1 code implementation8 Dec 2019 Kitty Varghese, Sauradip Nag

Context modelling is an important criterion in the domain of saliency detection.

Anomaly Detection Object +4

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

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.

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 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.

Clustering Text Detection

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 object-detection +2

PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds

no code implementations17 Mar 2023 Sauradip Nag, Anran Qi, Xiatian Zhu, Ariel Shamir

Garment pattern design aims to convert a 3D garment to the corresponding 2D panels and their sewing structure.

Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding

no code implementations9 Nov 2023 Jay Gala, Sauradip Nag, Huichou Huang, Ruirui Liu, Xiatian Zhu

Cloud analysis is a critical component of weather and climate science, impacting various sectors like disaster management.

Management Segmentation

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