2 code implementations • 14 Jul 2022 • Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
Existing temporal action detection (TAD) methods rely on generating an overwhelmingly large number of proposals per video.
Ranked #14 on Temporal Action Localization on ActivityNet-1.3
1 code implementation • 17 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.
Ranked #1 on Zero-Shot Action Detection on THUMOS' 14
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.
1 code implementation • 24 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.
Ranked #1 on Semantic Segmentation on BDD100K val
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.
1 code implementation • 1 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.
1 code implementation • 20 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.
Ranked #1 on Few Shot Temporal Action Localization on THUMOS14
Action Segmentation Few Shot Temporal Action Localization +4
1 code implementation • 14 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.
Ranked #1 on Semi-Supervised Action Detection on ActivityNet-1.3
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.
1 code implementation • 27 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.
1 code implementation • 20 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.
Ranked #1 on Action Recognition on HMDB51
1 code implementation • 8 Dec 2019 • Kitty Varghese, Sauradip Nag
Context modelling is an important criterion in the domain of saliency detection.
1 code implementation • 1 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.
no code implementations • 16 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.
no code implementations • 19 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.
no code implementations • 9 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.
no code implementations • 26 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.
no code implementations • 29 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.
no code implementations • 17 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.
no code implementations • 14 Aug 2023 • Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu
In this work, we reformulate the SED problem by taking a generative learning perspective.
no code implementations • 9 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.
no code implementations • 8 Mar 2024 • Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta
Object counting is pivotal for understanding the composition of scenes.
Ranked #1 on Object Counting on Omnicount-191